RWeekly.org - Blogs to Learn R from the Community

R Weekly 2026-W33 FDA Submissions, Windows ARM64, nycOpenData Journey

2026-08-10T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

R in Organizations

Making R Submissions Reviewable for FDA

R in Academia

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{xsdm} 1.0.2: Demographic Approach to Species Distribution Model
{wordorientation} 0.1.0: Detect Attraction and Repulsion Between Words in Text
{RIFanalysis} 0.9.1: Relative Importance Factor Analysis
{Rhobots} 0.1.10: ‘BERTopic’-Style Topic Modeling Without ‘Python’
{MEMWAS} 0.9.3: Mixed-Effects Models with Autocorrelation Structures
{ggmultiglyph} 0.1.0: Multivariate Data Visualization using Glyphs
{GammaFrailtySPC} 0.1.0: Statistical Process Control Based on Gamma-Frailty AFT Models
{densemlp} 0.5.0: Dense Neural Networks for Tabular Classification and Regression
{BKQualit} 0.1.1: Analysis of Qualitative Traits, Segregation and Genetic Linkage
{SingRegKrig} 0.1.0: Singularity Regression Kriging for Spatial Prediction
{secfile} 0.1.1: SEC ‘EDGAR’ APIs
{K4Siswa} 0.1.0: Student Context Data Files for TIMSS 2023 Grade 4
{K4Rumah} 0.1.0: Home Context Data Files for TIMSS 2023 Grade 4
{gpciIntCensor} 0.1.0: Generalized Process Capability Indices for Interval-Censored Data
{gpciEMprogII} 0.1.0: Generalized Process Capability Indices via EM Algorithm under Progressive Type-II Censoring
{ghcclm} 0.1.0: Generalized Hybrid Contrast Coding in Linear Models
{diffuseR} 0.2.2: Functional Interface to Diffusion Models in R
{CRAFT} 0.1.0: Conditional Regime Analog Forecasting with Trajectories
{Compositionalzerocens} 1.0: Modelling Zero Values in Compositional Data Using a Censored Model
{codriver} 1.0.0: Context-Aware AI Assistant for ‘RStudio’
{cochranSize} 0.1.0: Sample Size Calculation Using Cochran’s Formula
{cincinnatiOpenData} 0.1.0: A Lightweight Interface to Cincinnati Open Data APIs
{chaidr} 0.1.0: CHAID and Exhaustive CHAID Decision Trees
{causalgenerics} 0.1.0: Shared Generics for the ‘r-causal’ Ecosystem
{BKMutate} 0.1.0: Statistical Analysis of Induced Mutagenesis Experiments in Crop Plants
{bigbang} 0.1.0: Build ‘Tidyverse’-Style Meta-Packages from Local Package Files
{ascribe} 0.1.1: Static Detection and Citation of R Package and Function Usage
{xegaMigration} 0.5.0.4: ‘Xega’ Island Models
{Usmile} 0.2.0: Threshold-Free Class-Specific Comparison of Binary Classifiers
{transferegovr} 0.1.0: Access the ‘TransfereGov’ Open Data APIs
{tplyr2} 0.2.0: A Grammar of Clinical Summary Tables
{pathintdid} 0.1.0: Path-Integrated Difference-in-Differences
{nof1kit} 0.1.0: Design, Monitor, and Analyze Single-Case (N-of-1) Intensive Longitudinal Studies
{nimbleExtra} 0.1.15: Interoperating with ‘NIMBLE’ for Generic Analysis of MCMC Samples
{EDAForge} 0.1.1: Automatic Exploratory Data Analysis
{dashboardapi} 0.1.0: Access Japan’s Statistics Dashboard API
{cpge} 1.0.1: Career Possibilities after French Selective Engineering Schools in France
{compstatslib} 0.8.0: Interactive 2D and 3D Visualization of Data and Statistical Concepts
{ALSBinary} 1.0.0: ‘ALS-Binary’: Allele Size to Binary Converter
{AgriDataTools} 0.1.2: Automated Statistical Analysis and Tools for Agricultural Research
{agridatasets} 0.1.0: A Comprehensive Collection of Agricultural and Agronomic Datasets
{tarpolyglot} 0.2.0: Run Python, Julia, and Rust Inside ‘targets’ Pipeline Steps
{BCGcalc} 2.3.1: Biological Condition Gradient, Calculator
{erglm} 0.1.1: Exposure-Response Tools for GLM-Based Models
{PoultryEconR} 0.1.0: Poultry Economic Analysis Tools
{nhsbsa} 0.1.0: Client for the NHS Business Services Authority Open Data Portal
{HeatStressR} 2.2.1: Calculate Heat Stress Indices
{epidesc} 0.1.0: Calculation of Epidemiological Descriptors
{MultiStepSSAD} 0.1.0: Multiple-Steps Step-Stress Accelerated Degradation Modeling
{gpciProgTyIIImpSam} 0.1.0: Generalized Process Capability Indices for Progressive Type-II Censored Data using Importance Sampling
{gbif.range} 1.9.1: Species Range Mapping from GBIF Using Ecoregion Constraints
{falsifyr} 1.0.0: Adversarial Robustness Attacks for Statistical Claims
{DepDoubleTruncKS} 0.1.0: Kolmogorov-Smirnov Test for Dependently Double-Truncated Durations
{TKApprox} 0.1.0: A General Framework for Bayesian Estimation Using the ‘Tierney’-‘Kadane’ Approximation
{statim} 0.1.0: A Declarative Interface for Statistical Inference
{packageRankWrapperDriver} 1.0: Wrapper to Facilitate Tabulating the Daily Quartile Ranking of Downloads of your Packages
{MultiFrailty} 0.1.0: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions
{gpciProgTyII} 0.1.0: Generalized Process Capability Indices under Progressive Type-II Censoring
{zentraR} 0.1.3: R Client for the ZENTRA Cloud V5 API
{topocast} 0.0.5: Moving-Window Regression Downscaling of Raster Data
{swelex} 0.1.0: Access the Swedish Code of Statutes via Riksdagen’s Open Data
{smoothROC} 0.1.0: Kernel-Smoothed ROC and AUC with Bandwidth Selection
{MineSDG} 0.4.0: Mining Industry SDG Impact Calculator
{litReview} 1.0.0: Summarizing Graphs for Literature Reviews
{tinycache} 0.1: Cache Objects in Disk or Memory
{spatialkit} 1.0.0: Spatial Tessellation, Modeling, and Cross-Validation Toolkit
{shinyelectron} 0.2.1: Export ‘Shiny’ Applications as Desktop Apps using ‘Electron’
{SeattleOpenData} 0.1.0: A Lightweight Interface to Seattle Open Data APIs
{RougeLM} 1.0.0: Data Accompanying the Book “The Rogue’s Guide to Linear Models”
{RegCalib} 0.1.0: Regression Calibration for Measurement Error Correction
{RCppAD} 1.20260000.0: ‘CppAD’ C++ Header Files for Automatic Differentiation
{pkgmd} 0.1: Generate Markdown Reference Documentation for R Packages
{multichainr} 0.1.0: R Interface to the ‘MultiChain’ Blockchain RPC API
{mobdb} 1.0.1: Access the ‘Mobility Database’ API to Discover Transit Feeds
{loclm} 1.0.0: Local Linear Regression
{IncrementalityTEST} 0.1.1: Analyze Incrementality Experiments
{gpciImpSam} 0.1.0: Importance Sampling Estimation of Generalized Process Capability Indices
{distspec} 0.1.0: Probability Distributions with Certain or Uncertain Parameters
{censosbo} 2.0.0: Access and Analysis of Bolivian Census Microdata
{rjd3qr} 0.4.2: ‘JDemetra+’ Quality Report Generator
{ImpAdaptType2Censor} 0.1.0: Data Generation and Statistical Inference for Improved Adaptive Type-II Progressive Censoring Schemes
{fastrda} 0.1.2: Fast Redundancy Analysis (RDA) with High-Performance ‘C++’ Backend
{EDE} 0.1.0: Extinction Date Estimation from Sighting Records
{dynamicmultiplex} 1.1.0: Community Detection for Evolving Multiplex Networks
{DLCA} 1.0: Divisive Latent Class Analysis
{commons} 0.0.1: AI Agents for Data Analysis
{acR} 0.3.2: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
{upsetly} 0.1.1: Interactive UpSet Plots Using ‘plotly’
{SMOARIMA} 0.1.1: Automatic ARIMA Order Selection Using Spider Monkey Optimization
{SemiParamBernsteinDepCS} 0.1.0: Semiparametric Bayesian Regression for Dependent Current Status
{libcmaesr} 0.1.0: R Interface to ‘libcmaes’
{ExactTree} 0.1.1: Exact Tree
{climateBR} 0.1.0: Download Rainfall, Temperature, and Wind Data from Brazil
{WFC} 2.0.1: Workflow-Oriented Survey Weight Calibration
{UniLindleyApprox} 0.1.0: Bayesian Point Estimation Using Lindley’s Approximation Under Censoring Schemes
{tinyroxygen} 0.1: A Tiny ‘Roxygen’-Style Documentation Generator
{TH} 1.0.0: Educational Hypothesis Tests in R
{tejoR} 0.2.2: Statistical Harmonization of Territorial Series Across Changing Geographies
{tanner} 1.8.0: Puberty Stage Line Diagrams and SDS for Tanner Pubertal Stages
{qtsa} 0.1.1: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting
{PsyMetricTools} 1.2.2: Psychometric and Statistical Analysis Tools
{paintr} 0.0.1: Create Graphics of ‘R’ Data Structures
{mochita} 1.0.0: Test R Web Applications
{logtree} 0.1.0: Tree-Style Console Logger for Nested Processes
{IntervalCensoredMultistateR2} 1.0.0: Regression Analysis in Interval-Censored Multistate Models
{fitdistrBayes} 0.2.0: Objective Bayesian Distribution Fitting
{BayesSplineUR} 0.1.0: Bayesian Unit Root Test for AR(1) Model with Trend Approximated by Linear Spline Function
{BayesPanelUR} 0.1.0: Bayesian Unit Root Test for Panel Data Models
{sappviz} 1.0.16: Sector-Adjusted Points Plot for Feature Dominance
{NSTempRFA} 0.2.0: Adapts the Regional Frequency Analysis to Air Temperature
{glcdp} 1.0.0: Discover, Access, and Import Global Light Commons Data Packages
{DataAudit} 0.1.0: Comprehensive Data Quality Auditing and Validation
{BCodifSIS} 0.3.2: Ball-Codifference Sure Independence Screening
{UniIS} 0.1.0: Importance Sampling Inference for Censored Univariate Data
{RGDrivers} 0.1.0: Analysis of Stream Network Topology and Order
{LRErdd} 0.1.0: Regression Discontinuity Designs as Local Randomized Experiments
{BDPTobitQR} 0.1.0: Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data
{BayesURTrend} 0.1.0: Bayesian Unit Root Test for Model with Maintained Trend
{syncons} 0.1.1: Efficient and Low-Cost Construction of Synthetic Communities
{persuasio} 0.1.0: Causal Inference on Persuasion Effects
{lonelyr} 0.1.0: Scoring for Common Loneliness Scales
{actinet} 0.2.0: Estimate Human Activity from ‘Accelerometry’ Data
{epibyhand} 0.1.0: Worked Derivations for Classical Epidemiological Measures
{trialSizing} 0.1.0: Tools for Experimental Design Sizing
{predHCS} 0.1.0: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes
{oddsapiio} 0.1.1: Client for the ‘Odds-API.io’ Sports Betting Odds API
{needenv} 0.1.0: Validate Required Environment Variables with Defaults
{CLDedgelister} 1.0.2: Import System-Dynamics Models and Convert Them to Edge Lists
{BayesQRCount} 0.1.0: Adaptive Bayesian Quantile Regression for Count Data
{psreplicate} 0.1.0: Access the Political Science Replication Index from R
{linf} 0.1.0: L-Infinity Normalization and Dominant Community State Types
{grip} 0.1.2: Graph Drawing with Intelligent Placement (GRIP)
{EWAScaller} 0.1.0: Query and Analyse the ‘EWAS Atlas’ Database
{bufferscape} 1.0.3: Distance-Weighted Landscape Composition in Buffers Around Point Locations
{rpanelauto} 1.0.0: Perform Automatic Estimation on Time Series in Multidimensional Panels
{orbis} 0.1.0: Interactive and High-Resolution Layered Graphics with Built-in World Maps
{MYIS} 0.1.0: ‘Moreau-Yosida’ Importance Sampling for Statistical Inference
{LugsailGR} 0.1.0: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC
{liteformats} 0.1.0: Lightweight Output Formats for ‘litedown’
{glmbayesCore} 0.5.3: Core C++ Sampling Engine for ‘glmbayes’
{APD} 1.0.1: Average Proportional Distance
{agecrypt} 0.1.0: File Encryption with the ‘age’ Format
{StressCensoR} 0.1.0: Generalized Stress-Strength Reliability Estimation Under
{SampleSizeR} 0.1.0: Sample Size Calculations for Epidemiological, Clinical, and Diagnostic Studies
{rmoriebricklayer} 0.3.7: Reproducible Data Capsules with Provenance and Fallback
{gmeans} 0.1.0: G-means Clustering
{fracreg} 1.0.1: Fractional Response Regressions
{DendroFlux} 1.0.3: Processing and Analyzing Dendrometer and Sap Flux Data
{CompRiskRel} 0.1.0: Reliability and Competing Risks Analysis under Hybrid Censoring
{cmrdesign} 0.1.0: Conditional Minimax Regret Design Rules
{BorderEffect} 0.1.0: Detection of Edge Effects in Field Trials via Besag-Kempton Competition
{zmij} 0.1.0: Round-Trip-Safe Double-Precision Formatting
{polyglotSQL} 0.1.0: SQL Parsing, Analysis and Dialect Translation
{jiebaRS} 0.2.0: Chinese Text Segmentation, POS Tagging, and Keyword Extraction
{ggpalettes} 0.2.0: Curated Colour Palettes and Scales for ‘ggplot2’
{bluertopo} 0.0.1: Download and Extract BlueTopo Bathymetry with Terra
{lame} 1.3.4: Longitudinal Additive and Multiplicative Effects Models for Networks
{PhysMove} 1.2.4: Quantifying Animal Movement and Space-Use Patterns with Statistical Physics
{OutbreakR} 0.1.0: Epidemiological Tools for Outbreak Investigation and Analysis
{DOEpro} 2.0.1: Analysis of Designed Agricultural Experiments
{blockr.session} 0.1.0: Session Management for ‘blockr’
{AdaptHyCensor} 0.1.0: Generalized Inference and Data Generation for Adaptive Progressive Hybrid Censoring Schemes
{rbcmodel} 1.0.1: Model Rubisco Carboxylation Rate Across Temperature, CO2, and O2
{LSJM} 0.1.0: Estimate Location-Scale Joint Models
{gofPHCS} 0.1.0: Goodness-of-Fit Tests for Complete, Progressively Type-II, Type-I Hybrid, and Type-II Hybrid Censored Data
{compost} 0.2.0: Video Compositing via ‘FFmpeg’
{CauMedi} 0.1.1: Cell Type-Specific Causal Mediation Models for Single-Cell Data
{asleep} 0.1.0: Estimate Sleep from ‘Accelerometry’ Data
{MALDIassist} 1.0.2: Mathematical Utilities for MALDI-TOF Mass Spectrometry
{controlcharts} 0.0.19: Interactive Plotting for Funnel Plots and Statistical Process Control Charts
{SporeLag} 0.1.1: Lagged and Moving-Average Exposure Features for Aeroallergen Epidemiology
{rtreeoflife} 0.1.0: Access Tree of Life Data Releases
{rKraken} 1.0.0: ‘Kraken API’
{inferstat} 0.1.1: Publication-Ready Inferential Statistics and Visualization
{crbcc} 0.1.0: C R Bytecode Compiler
{cardinalfda} 0.2.0: FDA Safety Tables and Figures
{BiMaUmisc} 0.1.0: BiMaU Miscellaneous
{sigPCA} 0.1.0: Statistical Significance Testing for Principal Components
{neuralsbi} 0.3.2: Neural Simulation-Based Inference
{mcplite} 0.1.0: Lightweight Stdio MCP Server for R
{idiographic} 0.3.2: Person-Specific (Idiographic) and Heterogeneous Complex Networks
{walking} 0.7.0: Segments Accelerometry Data into Walking Bouts using Open Source Methods
{tidyprf} 0.1.1: Tidy Access to Brazilian Federal Highway Police (‘PRF’) Data
{ProcessCapabilityR} 0.1.0: Classical and Generalized Process Capability Indices
{panelTool} 0.1.0: Build Regularly Spaced Panels from Irregularly Spaced Longitudinal Data
{malp} 1.1-0: Maximum Agreement Linear Prediction
{LongitudinalEvalue} 0.1.0: Sensitivity Analysis for Unmeasured Confounding in Longitudinal Studies
{deriva} 0.1.0: Tidy Drift Detection for Monitored Machine Learning Models
{TTE} 1.1.1: Design and Analysis Tools for Target Trial Emulation
{mutator} 0.2.1: Mutation Testing
{irid} 0.3.0: Component-Based ‘Shiny’ UI with Fine-Grained Reactivity
{Gofpt2} 0.1.0: Generalized Goodness-of-Fit Test for Progressive Type-II Censored Data
{DMSTAr} 0.1.1: Dynamic Model for Stormwater Treatment Areas
{closecity} 1.5.0: Client for the ‘Close’ API

Bioconductor

GitHub or Bitbucket or GitLab

Updated Packages

🔍 Search on R-universe 🔍

roxygen2 8.1.0
{sundialr} 0.2.0: An Interface to ‘SUNDIALS’ Ordinary Differential Equation (ODE) Solvers - diffify
{writexl} 2.0.0: Export Data Frames to Excel ‘xlsx’ Format - diffify
{WebGestaltR} 1.0.1: Gene Set Analysis Toolkit WebGestaltR - diffify
{specmine} 3.1.8: Metabolomics and Spectral Data Analysis and Mining - diffify
{RaCE.NMA} 1.2.0: Rank-Clustered Estimation for Network Meta-Analysis - diffify
{neo2R} 3.1.1: Neo4j to R - diffify
{moranajp} 0.9.8: Morphological Analysis for Japanese - diffify
{ip2location} 8.1.4: Lookup for IP Address Information - diffify
{invasible} 0.1.1: Predicting Invasion Probabilities from Phylogenetic Data and Species Traits - diffify
{dwg2geo} 0.2.4: Convert Engineering ‘DWG’ Drawings to Auditable ‘GeoJSON’ - diffify
{campsis} 1.9.0: Generic PK/PD Simulation Platform Campsis - diffify
{apache.sedona} 1.9.1: R Interface for Apache Sedona - diffify
{palr} 0.5.0: Colour Palettes for Data - diffify
{nlmixr2} 7.0.1: Nonlinear Mixed Effects Models in Population PK/PD - diffify
{sondage} 0.9.1: Survey Sampling Algorithms - diffify
{nanoarrow} 0.9.0: Interface to the ‘nanoarrow’ ‘C’ Library - diffify
{bases} 0.2.1: Basis Expansions for Regression Modeling - diffify
{rxode2} 5.1.6: Facilities for Simulating from ODE-Based Models - diffify
{repo} 2.1.7: A Data-Centered Data Flow Manager - diffify
{moderndive} 0.8.0: Tidyverse-Friendly Introductory Linear Regression - diffify
{log4r} 0.5.0: A Fast and Lightweight Logging System for R, Based on ‘log4j’ - diffify
{LLMR.shiny} 0.1.2: Shared ‘Shiny’ Components for ‘LLMR’ Family Applications - diffify
{gmvarkit} 2.2.2: Estimate Gaussian and Student’s t Mixture Vector Autoregressive Models - diffify
{dlmtree} 1.2.0: Bayesian Treed Distributed Lag Models - diffify
{DataSpaceR} 1.0.1: Interface to ‘the CAVD DataSpace’ - diffify
{BioMonTools} 1.3.2: Biomonitoring and Bioassessment Calculations - diffify
{OncoBayes2} 0.10-0: Bayesian Logistic Regression for Oncology Dose-Escalation Trials - diffify
{llm.api} 0.1.9: Minimal LLM Chat Interface - diffify
{castor} 1.8.7: Efficient Phylogenetics on Large Trees - diffify
{amregtest} 1.3.2: Runs Allelematch Regression Tests - diffify
{scTenifoldNet} 1.4: Construct and Compare scGRN from Single-Cell Transcriptomic Data - diffify
{nlmixr2extra} 5.2.0: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions - diffify
{nlmixr2est} 7.0.2: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines - diffify
{lgspline} 1.2.1: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation - diffify
{ecoregime} 0.4.1: Analysis of Ecological Dynamic Regimes - diffify
{BNPmix} 1.2.3: Bayesian Nonparametric Mixture Models - diffify
{uGMAR} 3.6.1: Estimate Univariate Gaussian and Student’s t Mixture Autoregressive Models - diffify
{quanteda} 4.5.0: Quantitative Analysis of Textual Data - diffify
{ibdsim2} 2.3.3: Simulation of Chromosomal Regions Shared by Family Members - diffify
{glmbayes} 0.9.75: Bayesian Generalized Linear Models (IID Samples) - diffify
{verifyr2} 1.3.0: Compare and Verify File Contents - diffify
{lstar} 0.2.2: Uniform Data Model and ‘Zarr’ Interchange for Single-Cell Omics - diffify
{iC10} 2.0.3: A Copy Number and Expression-Based Classifier for Breast Tumours - diffify
{easyPSID} 0.1.3: Reading, Formatting, and Organizing the Panel Study of Income Dynamics (PSID) - diffify
{DasGuptR} 2.2.0: Das Gupta Standardisation and Decomposition - diffify
{stringi} 1.8.9: Fast and Portable Character String Processing Facilities - diffify
{rncl} 0.8.10: An Interface to the Nexus Class Library - diffify
{PTSDdiag} 0.5.0: Optimize PTSD Diagnostic Criteria - diffify
{libr} 1.4.2: Libraries, Data Dictionaries, and a Data Step for R - diffify
{BayesianFitForecast} 1.1.1: Bayesian Parameter Estimation and Forecasting for Epidemiological Models - diffify
{xactonomial} 1.2.2: Inference for Functions of Multinomial Parameters - diffify
{mizer} 3.2.1: Dynamic Multi-Species Size Spectrum Modelling - diffify
{mixedBayes} 0.2.6: Bayesian Longitudinal Regularized Quantile Mixed Model - diffify
{mritc} 0.6.1: MRI Tissue Classification - diffify
{grangers} 0.1.1: Inference on Granger-Causality in the Frequency Domain - diffify
{astgrepr} 0.1.2: Parse and Manipulate R Code - diffify
{aplotExtra} 0.0.6: Creating Composite Plots using ‘aplot’ - diffify
{sstvars} 1.2.5: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models - diffify
{MultiEFM} 0.1.4: Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics - diffify
{maq} 0.6.1: Multi-Armed Qini - diffify
{ks} 1.15.3: Kernel Smoothing - diffify
{fipp} 1.0.1: Induced Priors in Bayesian Mixture Models - diffify
{FinancialInstrument} 1.4.1: Financial Instrument Modeling Infrastructure - diffify
{nat} 1.8.26: NeuroAnatomy Toolbox for Analysis of 3D Image Data - diffify
{strucchange} 1.6-0: Testing, Monitoring, and Dating Structural Changes - diffify
{stringmagic} 1.3.0: Character String Operations and Interpolation, Magic Edition - diffify
{stringfish} 0.19.2: Alt String Implementation - diffify
{ssddata} 2.0.0: Species Sensitivity Distribution Data - diffify
{RNetCDF} 2.11-2: Interface to ‘NetCDF’ Datasets - diffify
{policytree} 1.2.5: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees - diffify
{MD2sample} 1.3.0: Various Methods for the Two Sample Problem in D>1 Dimensions - diffify
{huge} 2.0.1: High-Dimensional Undirected Graph Estimation - diffify
{ggm} 2.5.4: Graphical Markov Models with Mixed Graphs - diffify
{D4TAlink.light} 2.1.23: GDP - Workflow Management - diffify
{brazilmaps} 1.0.0: Brazilian Maps from Different Geographic Levels - diffify
{RSDC} 1.7-0: Regime-Switching Dynamic Correlation Models - diffify
{psychonetrics} 0.17.8: Structural Equation Modeling and Confirmatory Network Analysis - diffify
{EBASS} 0.1.1: Expected Value of Information Based Sample Size Calculation - diffify
{rcontroll} 0.1.3: Individual-Based Forest Growth Simulator ‘TROLL’ - diffify
{npwbs} 0.5.0: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation - diffify
{KernelICA} 2.0.0: Kernel Independent Component Analysis - diffify
{ftsspec} 1.0.1: Spectral Density Estimation and Comparison for Functional Time Series - diffify
{BIDistances} 0.1.5: Bioinformatic Distances - diffify
{secrfunc} 1.1.4: Helper Functions for Package ‘secr’ - diffify
{vcfppR} 0.8.4: Rapid Manipulation of the Variant Call Format (VCF) - diffify
{Epi} 2.66: Statistical Analysis in Epidemiology - diffify
{bgms} 0.2.0.0: Bayesian Analysis of Graphical Models - diffify
{RPesto} 0.1.5: Phylogenetic Estimation of Shifts in the Tempo of Origination - diffify
{MDgof} 1.1.0: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions - diffify
{bslib} 0.12.0: Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ - diffify
{AddiVortes} 0.6.9: (Bayesian) Additive Voronoi Tessellations - diffify
{Rhpc} 0.26.5: Apply-Style Dispatch for High-Performance Computing - diffify
{resourcecode} 0.5.5: Access to the ‘RESOURCECODE’ Hindcast Database - diffify
{BCT} 1.3: Bayesian Context Trees for Discrete Time Series - diffify
{trajeR} 1.0: Group Based Modeling Trajectory - diffify
{ribd} 1.7.2: Pedigree-based Relatedness Coefficients - diffify
{ICEHmeasures} 2.0.0: The Equiplot Graph and Complex Inequality Measures - diffify
{hydroloom} 1.2.1: Utilities to Weave Hydrologic Fabrics - diffify
{autodb} 3.3.0: Automatic Database Normalisation for Data Frames - diffify
{whisper} 0.5.1: Native R ‘torch’ Implementation of ‘OpenAI’ ‘Whisper’ - diffify
{WeightIt} 2.0.0: Weighting for Covariate Balance in Observational Studies - diffify
{vcdExtra} 0.9.7: ‘vcd’ Extensions and Additions - diffify
{OhdsiReportGenerator} 2.3.1: Observational Health Data Sciences and Informatics Report Generator - diffify
{spliv} 0.2.1: Patterned Sensitivity Analysis for IV with Fixed Effects - diffify
{KLINK} 1.2.2: Kinship Analysis with Linked Markers - diffify
{guideR} 0.11.0: Miscellaneous Statistical Functions Used in ‘guide-R’ - diffify
{epiR} 2.0.96: Tools for the Analysis of Epidemiological Data - diffify
{xgxr} 1.1.6: Exploratory Graphics for Pharmacometrics - diffify
{tree} 1.0-47: Classification and Regression Trees - diffify
{quickcode} 1.1.0: Quick and Essential ‘R’ Tricks for Better Scripts - diffify
{mlr3spatiotempcv} 2.3.5: Spatiotemporal Resampling Methods for ‘mlr3’ - diffify
{gee} 4.13-30: Generalized Estimation Equation Solver - diffify
{sfsmisc} 1.1-25: Utilities from ‘Seminar fuer Statistik’ ETH Zurich - diffify
{hdd} 0.1.2: Easy Manipulation of Out of Memory Data Sets - diffify
{dispersionIndicators} 0.1.6: Indicators for the Analysis of Dispersion of Datasets with Batched and Ordered Samples - diffify
{sandwich} 3.1-3: Robust Covariance Matrix Estimators - diffify
{gamm4} 0.3-0: Generalized Additive Mixed Models using ‘mgcv’ and ‘lme4’ - diffify
{FESta} 1.0.1: Fishing Effort Standardization - diffify
{spatial} 7.3-19: Functions for Kriging and Point Pattern Analysis - diffify
{nnet} 7.3-21: Feed-Forward Neural Networks and Multinomial Log-Linear Models - diffify
{class} 7.3-24: Functions for Classification - diffify
{GPArotation} 2026.8-1: Gradient Projection Factor Rotation - diffify
{bayesRecon} 1.0.2: Probabilistic Reconciliation via Conditioning - diffify
{gconsensus} 0.3.2.1: Consensus Value Constructor - diffify
{psychotree} 0.16-3: Recursive Partitioning Based on Psychometric Models - diffify
{Formula} 1.2-6: Extended Model Formulas - diffify
{tubern} 0.5.1: R Client for the YouTube Analytics and Reporting API - diffify
{ravel} 0.1.4: AI Copilot for R Analysis Workflows in ‘RStudio’ - diffify
{guess} 0.7.0: Adjust Estimates of Learning for Guessing - diffify
{shinyglass} 0.1.1: Liquid Glass Design Themes for ‘shiny’ Applications - diffify
{PeerPerformance} 2.4.0: Luck-Corrected Peer Performance Analysis in R - diffify
{sca} 0.9-3: Simple Component Analysis - diffify
{triageR} 0.1.1: Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling - diffify
{ipwCoxCSV} 1.1: Corrected Sandwich Inference for Inverse Probability Weighted Cox Models - diffify
{FunctionalCalibration} 2.0.0: Aggregated Functional Data Calibration using Splines and Wavelets - diffify
{DEmixR} 0.2.0: Fit Two-Component Normal and Lognormal Mixture Models - diffify
{binxr} 0.1.2: ‘Binance’ REST API Client - diffify
{SurvDisc} 0.1.2: Discrete Time Survival and Longitudinal Data Analysis - diffify
{FAfA} 1.2: Factor Analysis for All - diffify
{openesm} 0.2.1: Access the Open Experience Sampling Method Database - diffify
{rdomains} 0.5.0: Get the Category of Content Hosted by a Domain - diffify
{readaec} 0.2.0: Access Australian Electoral Commission Data - diffify
{tinyarray} 3.0.0: Expression Data Analysis and Visualization - diffify
{themis} 1.1.0: Extra Recipes Steps for Dealing with Unbalanced Data - diffify
{misty} 0.8.3: Miscellaneous Functions ‘T. Yanagida’ - diffify
{fitVARMxID} 1.0.5: Fit the Vector Autoregressive Model for Multiple Individuals - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Internationally

R Project Updates

Updates from R Core:

Call for Participation

R Consortium R+AI Conference 2026

Upcoming Events in 3 Months

Events in 3 Months:

A list of R conferences and meetings
This week’s local R-User and applied stats events
Weekly R Workshops for Ukraine
R/Pharma 2026 Conference - Workshops run September 28 - October 1; Conference runs October 20 - 21.

Datasets

dataseries.org: Relaunch with 70 datasets

Connect

Join the Data Science Learning Community

rtistry

Today's artwork generated with #rstats and #ggplot2: pic.twitter.com/qSuDYlFIVi
— aRtsy package (@aRtsy_package) August 10, 2026

Post by @coolbutuseless@fosstodon.org

View on Mastodon

Quotes of the Week

Every R course has the whiteboard moment where you draw a vector as a row of boxes.

{paintr} draws it and writes the accessor in each cell, so the diagram and the code are one object.

Now on CRAN. #rstats https://t.co/LnrNk8wagt pic.twitter.com/UHZ47R8pKn
— James Balamuta, Ph.D. (@axiomsofxyz) August 8, 2026

R Weekly 2026-W32 rsonar, the real bottleneck to learning AI tools

2026-08-03T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

rsonar: The R equivalent of SonarQube - centralizes code quality analysis into a single interactive report
Cognitive Courage: The Real Bottleneck to Learning AI Tools - Learning a new AI workflow no longer means studying it first. The platform you work in is the platform you learn in, and the only thing between you and your first skill is the nerve to say ‘I don’t know – show me.’

Insights

R on ARM64 Windows: Resources and infrastructure for using R natively on ARM64 Windows hardware.
Cognitive Courage: The Real Bottleneck to Learning AI Tools - Learning a new AI workflow no longer means studying it first. The platform you work in is the platform you learn in, and the only thing between you and your first skill is the nerve to say ‘I don’t know – show me.’
RcppDate 0.0.7: New Upstream
June 2026 Top 40 New CRAN Packages

R in Organizations

askfirst: Connect AI with your coding communities

R in Academia

Navigating Challenges in Spatial Machine Learning

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

ggtintshade: Tinting/shading aesthetics for ggplot2

frictionless 1.3.0: A new version of our R package frictionless
{envar} 0.1.0: Download and Process Environmental Variables
{olympicAthletes} 0.5.10: Olympic Athlete Event Data, Athens 1896 to Milano-Cortina 2026
{cataScience} 2.1.2: Interactive Training App for Data Science and AI Skills
{BKBreed} 0.3.2: Colourful Biometrical Analysis for Plant Breeding and Genetics
{biocharkitgui} 0.3.0: ‘Shiny’ GUI for the ‘biocharkit’ Biochar Analysis Toolkit
{muiCharts} 0.1.0: ‘MUI X Charts’ for ‘shiny’ Apps and ‘Quarto’
{circlecorR} 0.1.0: Circular Correlation Wheel Plot
{PiChange} 0.0.6: Pi-Change: Change Point Detection with Prior-Informed Penalties
{boostPM} 0.1.0: Unsupervised Tree Boosting for Learning Probability Distributions

GitHub or Bitbucket or GitLab

{rsonar}: R interface to SonarQube for analyzing code quality and automating fixes. Supports automated code fixes and automates GitLab Merge Requests or GitHub Pull Requests.

Updated Packages

🔍 Search on R-universe 🔍

{sjtable2df} 0.0.6: Convert ‘sjPlot’ HTML-Tables to R ‘data.frame’ - diffify
{reptiledbr} 0.1.0: Interface to ‘The Reptile Database’ Taxon Data - diffify
{tidync} 0.5.0: Tidy Approach to ‘NetCDF’ Data Exploration and Extraction - diffify
{pkr} 0.1.6: Pharmacokinetics in R - diffify
{myIO} 1.3.0: Interactive Data Visualizations Using ‘d3.js’ - diffify
{teal} 1.2.1: Exploratory Web Apps for Analyzing Clinical Trials Data - diffify
{nocturn} 1.2.0: Sleep Data Filtering and Visualisation - diffify
{CovTools} 0.5.7: Statistical Tools for Covariance Analysis - diffify
{censobr} 0.6.0: Download Data from Brazil’s Population Census - diffify
{sessioncheck} 0.1.1: Checks Session Status - diffify
{coresynth} 0.4.1: Fast and Unified Synthetic Control Methods - diffify
{assemblykor} 0.1.3: Korean National Assembly Data for Political Science Education - diffify
{wordvector} 0.6.3: Word and Document Vector Models - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Internationally

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

The cousin of the stepbrother of the pediatrician of my accountant's children asked me to ask on X (he is shy) what that black thing is for. pic.twitter.com/JX7wnx9PRO
— Nassim Nicholas Taleb (@nntaleb) July 31, 2026

"Nothing vanishes the light in a man's eyes
Like the abandonment of a woman Who was his land, sky and universe."

- Ghassan Kanafani pic.twitter.com/NBXLPNbh3q
— Words & Wisdom (@WordsnWisdom26) August 1, 2026

I learned to be silent when I realised people don't listen to understand, they listen to reply.

— Imam Ali (A.S) pic.twitter.com/EXTI92uCZz
— Words & Wisdom (@WordsnWisdom26) July 27, 2026

R Weekly 2026-W31 Building glue, Self-Describing Scripts, What Makes R Strong

2026-07-27T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Colin, with help from the R Weekly team members and contributors.

Highlight

Insights

What Makes R Strong: Reflections from useR! 2026

Outcomes from EuroBioC2026 Tidyomics Hackathon

R in the Real World

CRAN

Bioconductor

GitHub or Bitbucket or GitLab

Updated Packages

🔍 Search on R-universe 🔍

muttest 0.3.0: Turn surviving mutants into a to-do list

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Gist & Cookbook

Little useless-useful R functions – Jug solver with Bezout’s Identity

R Internationally

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

R Weekly 2026-W30 Chord diagrams, 2026 Grants, LLM Prompting

2026-07-20T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

R in Organizations

R Consortium Awards First Round of 2026 Technical Grants

R in Academia

A Small Quarto Skill for Better Research Talks

Tutorials

Resources

A new perspective on graphic design

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{stargazer2} 0.1.0: Beautiful Regression Tables for Modern Econometrics Packages
{hood2net} 1.0.0: Create a Language Network from Neighborhoods of Words
{flexstanr} 0.1.0: Portable Backend Layer for ‘Stan’ Models
{UniCensor} 0.1.0: Reproducible Random Samples Under Univariate Censoring Schemes
{riemannianStats} 0.1.1: Riemannian Statistics for Dimensionality Reduction and Visualization
{nhanesR} 0.1.5: Download, Parse, and Analyze NHANES Data with Mortality Linkage
{lingamr} 0.1.2: ‘LiNGAM’ Algorithms for Causal Discovery
{ggsketch} 2.0.0: Grammar-Native Hand-Drawn Geoms for ‘ggplot2’

{sybilion} 0.1.0: Official R Client for the ‘Sybilion’ API
{ggadjustedforest} 0.1.0: Publication Ready Forest Plots for Estimand of Interest

{dsn} 0.1.0: Data Source Name and Description Helpers for Use with ‘GDAL’
{AGCA4extremes} 0.1.0: Anchored Geodesic Component Analysis for Extremes
{easieRnmt} 0.0.5: Local Machine-Translation with ‘EasyNMT’ from ‘R’
{Saylac} 0.1.3: Spatial Analysis of Yearly, Longitudinal, and Areal Change
{retentionflow} 0.1.25: Retention Flow Tables and Sankey Diagrams
{rdtools} 0.1.0: Efficient Manipulation of ‘Rd’ Files and Help Topics
{modelimportance} 0.1.0: Measuring Contributions of Component Models to Ensemble Forecast Accuracy
{mixqrgate} 0.1.2: Location-Varying Gating for Mixtures of Quantile Regressions
{minex} 0.1.0: Automatically Reduce Failing R Scripts to a Minimal Reproducible Example
{imputeCGM} 0.0.3: Impute Missing Glucose Values in CGM Data
{ggsnap} 0.1.2: Save a ‘ggplot2’ Plot using ‘+’ Operator
{dtametaTMB} 0.1.0: Diagnostic Test Accuracy Meta-Analysis using Template Model Builder
{ct} 0.4.0: Integrated Camera-Trap Data Management and Analysis
{SidraFacil} 1.0.2: Framework for Automated Download of SIDRA IBGE Data
{rootWishartHD} 0.95.2: Exact and Log-Scale Tail Probabilities for Roy’s Largest Root
{regulog} 0.2.1: Tamper-Evident Audit Logging for Regulated Environments
{prova} 1.0.0: Nonparametric Probabilistic-Statistical Variate Analysis with Automated Markov-Chain Monte Carlo
{nwsrfsr} 1.0.2: NWS Hydrology Models: SAC-SMA, SNOW17, UH, CONSUSE, CHANLOSS
{nQuack} 1.0.4: Predicting Ploidal Level from Sequence Data
{neutroPPS} 0.1.1: Neutrosophic PPSWOR Sampling with NHT and NGREG Estimators
{lorax} 0.1.0: Speak for the Trees
{jsplyr} 0.1.0: Manipulate ‘JSON’ Data in the Browser with a ‘dplyr’ Interface
{IsletCalc} 0.0.1: Calculators for Insulin and Glucagon Release Indices
{DiscreteMorseR} 1.0.0: Discrete Morse Theory for 3D Meshes Derived from Point Clouds
{basil} 0.1.0: Survival Prediction for Severe Limb Ischaemia (BASIL Model)
{ahull3D} 1.0.0: Fast 3D Alpha Hull with Label Propagation
{gdpar} 0.1.0: General Dynamic Parameter Models via Reference Anchoring
{cusna} 0.1.0: Native GPU-Accelerated Simulation and Estimation of Network Models
{tweedieDistr} 0.1.0: Tweedie Distribution
{roxyreqs} 1.3.0: ‘roxygen2’-Style Metadata for Test Cases and Function Documentation
{MarineChain} 1.1.0: Blockchain-Enabled Maritime Transportation System Simulator
{kro.inv.test} 0.1.1: Kronecker-Invariant Tests for High-Dimensional Separability Testing
{fletcher} 0.1.0: Compute Fletcher Checksums (16, 32, and 64 Bit)
{BBNI} 0.1.1: Bayesian Inference of Boolean Genetic Networks
{appac} 4.0.3: Atmospheric Pressure Peak Area Correction for Gas Chromatography with Standard Detectors
{tantivyr} 0.1.0: Fast Full-Text Search for R with ‘Tantivy’
{rpic} 0.6.2: The ‘pic’ Graphics Language Rendered to SVG, PNG and PDF
{lazymatrix} 0.1.0: Perform Complex Matrix Operations Symbolically on Sparse Matrices
{glydraw} 0.6.3: Draw Beautiful Symbol Nomenclature for Glycans

{DynCount} 0.1.0: Bayesian Dynamic Models for Poisson and Binomial Time Series
{circularNet} 0.1.0: Circular Graphical Model Estimation

GitHub or Bitbucket or GitLab

{californiaalw}: California Assisted Living Waiver facility records and county aggregates prepared from California DHCS data
Eruption: announcing new R package VolcanoPlotR

Updated Packages

🔍 Search on R-universe 🔍

qlcal 0.1.2 on CRAN: Fresh Upstream Updates
httr2 1.3.0
{mlVAR} 0.7.3: Multi-Level Vector Autoregression - diffify
{bootnet} 1.9.1: Bootstrap Methods for Various Network Estimation Routines - diffify
{modelbpp} 0.4.0: Model BIC Posterior Probability - diffify
{gerefer} 0.1.4: Preparer of Main Scientific References for Automatic Insertion in Academic Papers - diffify
{wcc} 0.4.1: Windowed Cross Correlation - diffify
{imdR} 0.4.0: Download, Process and Visualize IMD Gridded Meteorological Data - diffify
{bnlearn} 5.2.1: Bayesian Network Structure Learning, Parameter Learning and Inference - diffify
{eyetools} 0.10.0: Analyse Eye Data - diffify
{chevron} 0.2.13: Standard TLGs for Clinical Trials Reporting - diffify
{tern} 0.9.11: Create Common TLGs Used in Clinical Trials - diffify
{messydates} 1.0.0: A Flexible Class for Messy Dates - diffify
{foghorn} 1.6.2: Summarize CRAN Check Results in the Terminal - diffify
{future.tests} 1.0.0: Test Suite for ‘Future API’ Backends - diffify
{gsearly} 1.1.1: Creates Group Sequential Trial Designs when Early Outcomes are Available - diffify
{NetWeaver} 1.0.0: Graphic Presentation of Complex Genomic and Network Data Analysis - diffify
{ggChinaFlag} 0.3.0: Drawing Chinese National and Historical Flags with ‘ggplot2’ - diffify
{GGIRread} 1.0.9: Wearable Accelerometer Data File Readers - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Shiny Apps

Five pre-flight checks for your dashboard
Shiny application demos from Rverse Analytics
Google Cloud + Shiny Cheatsheet - A command-line workflow for deploying Shiny apps to Google Cloud.

R Internationally

Crea mapas bivariados en R para visualizar la relación entre dos variables

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @nrennie@fosstodon.org

View on Mastodon

Quotes of the Week

Because *I* tend to confuse them... 👽 Mutation testing: you run tests on mutated version of the *code*. E.g. events.digital-research.academy/event/109/co... 🚮 Fuzzy testing: you run tests with all sorts of *inputs* to the code. E.g. events.digital-research.academy/event/109/co... #RStats

[image or embed]
— Maëlle Salmon (@masalmon.eu) July 17, 2026 at 8:45 AM

Post by @robinlovelace@fosstodon.org

View on Mastodon

R Weekly 2026-W29 Doom on R, search by function, checks for CRAN

2026-07-13T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by , with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

{rdoom} is a playable version of Doom for R.

Crude oil stocks at Cushing, Oklahoma

R in Academia

Choosing informative priors in Bayesian regression models: a simulation study and tutorial using Stan and R

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{deckglgeoarrow} 0.0.2: Use ‘GeoArrow’ to Add ‘Deck.gl’ Layers to a ‘maplibregl’/’mapboxgl’ Map - diffify
{osmnxr} 0.1.1: Download, Model and Analyze ‘OpenStreetMap’ Street Networks - diffify
{data.sketches} 0.1.0: Probabilistic Streaming Data Sketches - diffify
{inferencer} 0.1.4.5: Simple Unified Wrappers for Hosted Foundation Model Inference APIs - diffify
{agentr} 0.2.8.4: Specification and Review Scaffolding for AI Agent Workflows - diffify
{doclingr} 0.1.0: Document Intelligence via ‘Docling’ - diffify
{ggpaintr} 0.11.1: Build Formula-Driven ‘shiny’ Apps for ‘ggplot2’ - diffify
{datasetviewer} 0.1.1: ‘SAS Studio’-Style Interactive Dataset Viewer - diffify
{glyph} 0.1.1: A Next-Generation Grammar of Interactive Graphics - diffify
{didintrjl} 0.2.6: Intersection Difference-in-Differences - diffify
{retraction} 0.1.0: Detect Retracted References in Documents and Bibliographies - diffify
{Unitary} 0.3.11: Quantum Simulator - diffify

GitHub or Bitbucket

Updated Packages

🔍 Search on R-universe 🔍

{duckdb} 1.5.4.3: DBI Package for the DuckDB Database Management System - diffify
{survival} 3.8-9: Survival Analysis - diffify
{rsconnect} 1.10.1: Deploy Docs, Apps, and APIs to ‘Posit Connect’, ‘shinyapps.io’, and ‘RPubs’ - diffify
{LLMR} 0.8.10: Interface for Large Language Model APIs in R - diffify
{AIGRA} 0.2.0: Agentic Item Generation, Review, and Analysis - diffify
{litedown} 0.10: A Lightweight Version of R Markdown - diffify
{PROJ} 0.7.0: Generic Coordinate System Transformations Using ‘PROJ’ - diffify
{deeptime} 2.4.0: Plotting Tools for Anyone Working in Deep Time - diffify
{soilDB} 2.9.2: Soil Database Interface - diffify
{kableExtra} 1.4.1: Construct Complex Table with ‘kable’ and Pipe Syntax - diffify
{ggcorrplot} 0.2.0: Visualization of a Correlation Matrix using ‘ggplot2’ - diffify
{rphylopic} 1.7.0: Get Silhouettes of Organisms from PhyloPic - diffify
RQuantLib 0.4.28 on CRAN: Small Update
Rcpp 1.1.2 on CRAN: Usual Improvements in Semi-Annual Update

Videos and Podcasts

Shiny Apps

Reintroducing shinyelectron

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Catching up on a January #TidyTuesday dataset: The Languages of Africa. I turned the continent into a hex-tessellated map, with each country split by language-family composition, sand texture & scattered letters background & borders to echo the theme visually #DataViz #RStats #ggplot2 #Maps

[image or embed]
— Wajdi (@wajdi.bsky.social) July 8, 2026 at 8:50 PM

Quotes of the Week

Where it all started. #Rstats

[image or embed]
— Alex Holcombe (@alexh.bsky.social) July 3, 2026 at 2:31 PM

This report — every word, table, and chart — was made in #rstats www.dewr.gov.au/workplace-re...

[image or embed]
— Matt Cowgill (@mattcowgill.bsky.social) July 11, 2026 at 12:14 PM

The Hallgrímskirkja church is very heavy tailed... #rstats #ggplot2

[image or embed]
— Mattan S. Ben-Shachar (@mattansb.msbstats.info) July 8, 2026 at 6:00 AM

R Weekly 2026-W28 Testing plumber APIs, watcher

2026-07-06T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{apifetch} 0.1.0: Token-Authenticated REST API Retrieval Toolkit
{amorem} 1.0.0: Augmented Modelling of Relational Events
{araponga} 1.0.1: Estimate 3D Orientations from 2D Landmarks
{AutoStrataK} 0.1.4: Automatic Optimal Stratification for Survey Sampling
{axprism} 0.2.0: Client for the ‘AxPrism’ Institutional XBRL and Shariah Compliance API
{baselinr} 0.5.0: WWC-Aligned Baseline Equivalence Tables for Education Impact Evaluations
{BioTooltipR} 0.1.0: Add Bio Tooltips to HTML Reports
{bitriad} 0.4: Triadic Analysis of Affiliation Networks
{canpumf} 0.5.2: Parse StatCan PUMF Files
{caretMultimodal} 1.0.0: Multimodal Late Fusion with ‘caret’
{CbKST} 0.1-0: Competence-Based Knowledge Space Theory
{checktor} 0.1.0: Extra CRAN Submission Checks
{clim4health} 0.1.0: Post-Processing of Climate Data for Health Applications
{clusterIV} 0.1.0: Clustered Jackknife Instrumental Variables Estimation
{cp1919} 0.1: Radio Observations of the Pulse Profiles and Dispersion Measures of Twelve Pulsars
{crawlee} 0.1.0: Tidy Interface for Reproducible Web Crawling
{cyclicwave} 0.1.0: Cyclic Wave Analysis for Time-Series Clustering
{DAST} 0.1.0: Spatio-Temporal Disaggregation for Maps with Changing Areal Boundaries
{deaviz} 0.1.0: Visualization of Data Envelopment Analysis Problems
{delarr} 0.1.0: Lazy Delayed Arrays with Fused Execution
{dicepro} 1.0.2: Semi-Supervised Deconvolution of Bulk RNA-Seq Data with Hyperparameter Optimization
{droughtevents} 0.1.0: Identify and Characterize Drought Events from Drought Index Time Series
{DSGEr} 1.3.1: Transcriptional Disruption Score for Gene Sets
{ecpromethee} 0.1.0: EC-PROMETHEE Multi-Criteria Decision Method
{emaxnls} 0.1.1: Nonlinear Least Squares Estimation for Emax Regression Models
{ernest} 1.2.4: A Toolkit for Nested Sampling
{evbsreg} 1.0.0: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model
{fibr} 0.1.1: Prior-Fraction Diagnostics for Hierarchical Models
{fixedCV} 0.1.0: Fixed-b Critical Values for Robust Inference with Time Series
{fz} 1.1: R Wrapper for the ‘funz-fz’ Parametric Simulation Framework
{GMLTM} 0.1.0: Generalized Multicomponent Latent Trait Model for Diagnosis
{gp3tools} 1.0.2: Import, Inspect, Analyse, and Report Gazepoint GP3 Exports
{GSbench} 0.1.0: Benchmarking Genomic Selection and Machine-Learning Prediction Models
{HomeRangeR} 0.1.0: Predict Vertebrate Home-Range Sizes Using Allometric Models
{hubEvals} 0.3.0: Tools for Scoring and Evaluating Hubverse Model Outputs
{huggingfaceR} 2.1.0: Access ‘Hugging Face’ Models and Datasets
{HVS} 1.0.0: Hypergraph Variable Selection
{icarm} 0.1.0: Interpretable Contextual-Accountable and Responsible Machine Learning
{ImprintCapASM} 0.1.1: Allele-Specific Methylation Analysis for Imprinted DMR Diagnostics
{jpmap} 0.1.3: Japan Maps with Insets for Okinawa and Ogasawara
{lt} 0.1: Lightweight Tables via JSON Specs and JavaScript
{lvmPlot} 0.1.0: Publication-Quality Diagrams for Latent Variable Models
{mapsf.gui} 0.1.0: Create Thematic Maps Interactively
{mergersim} 0.1.0: Merger Simulation and Calibration
{mixedsubjects} 1.0.0: Causal Inference in Experiments with Mixed-Subjects Designs
{msPCA} 0.5.0 Introducing msPCA: a new package for sparse PCA with multiple components
{MultiModalR} 1.0.0: Fast Bayesian Probability Estimation for Multimodal Categorical
{muse} 0.1.0: Multiple Unobserved Sources of Error State Space Models
{NeighborFinder} 1.0.1: Find Neighbor Species of a Bacteria of Interest in the Human Gut Microbiota
{netify} 1.5.3: Tools for Network Data Workflows
{OptSurvCutR} 0.10.0: Optimal Survival Cut-Point Discovery for Time-to-Event Analysis
{palsr} 0.1.0: Projected Actor Locations for Spatial Interaction Modeling
{panelbuild} 0.1.0: Panel Data Auditing, Validation, and Preparation Tools
{peeky} 0.1.0: Download and Extract ‘shinylive’ Applications
{PITS} 0.1.0: Power of Interrupted Time Series (ITS) Studies
{porter} 0.1.0: Generate Port Files for C Libraries
{proximetricsR} 0.6.4: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
{PsychoMatic} 0.3.0: Automated Psychometric Workflows and Reporting Tools
{R2camtrapdp} 2.0.0: Convert Camera Trap Dataset to ‘Camtrap DP’
{rfair} 0.1.0: Assess the FAIRness of Research Data Objects and Software
{rtransparency} 1.0.0: Identifies Indicators of Transparency
{saeHB.Spatial.Beta} 0.1.0: Small Area Estimation Hierarchical Bayes for Spatial Beta Model
{SDALGCP2} 0.1.0: Fast Spatially Discrete Approximation to Log-Gaussian Cox Processes for Aggregated Disease Count Data
{seqcomp} 0.1.0: Sequential Comparison of Probabilistic Forecasts
{shinyReports} 1.0.3: R Markdown HTML Tab Rendering for Shiny
{SimplexRegression} 0.1.3: Simplex Regression Models with Parametric or Fixed Mean Link Functions
{sportsfeatures} 0.1.0: Longitudinal Sports Analytics Asset and Workload Feature Processing
{steves} 0.1.1: Rick Steves’ Europe Episodes for Teaching Data Analysis
{svmodt} 0.1.0: Linear SVM-Based Recursive Decision Trees
{taxify} 0.2.12: Offline Taxonomic Name Matching Against Local Darwin Core Snapshots
{TestREnlme} 0.1.0: Nonparametric Tests for Random Effects in Linear and Nonlinear Mixed-Effects Models
{testflow} 0.8.2: A Workflow for Statistical Testing, Interpretation, and ‘ggplot2’-Based Visualization
{trackclean} 0.1.0: Tools for Cleaning High-Frequency Real-Time Location Tracking Data
{uddbart} 0.2.0: Unified Dynamic Deep ‘BART’ for Interval-Censored Survival
{UKBAnalytica} 1.0.0: UK Biobank Data Processing and Survival Analysis Toolkit
{vbm} 0.1.0: Variance-Based Sensitivity Analysis for Weighting Estimators
{weightflow} 0.1.0: Declarative API for Staged Survey Weights
{wompwomp} 0.99.0: Optimizing Alluvial Plots

Updated Packages

🔍 Search on R-universe 🔍

{rstatix} 1.0.0: Pipe-Friendly Framework for Basic Statistical Tests - diffify
{neonSoilFlux} 4.0.1: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites - diffify
{FinePop2} 0.6: Fine-Scale Population Analysis (Rewrite for Gene-Trait-Environment Interaction Analysis) - diffify
{COVID19} 3.0.4: R Interface to COVID-19 Data Hub - diffify
{optedr} 3.0.1: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models - diffify
{GenericML} 0.2.3: Generic Machine Learning Inference - diffify
{munsellinterpol} 3.4-0: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB - diffify
{explor} 0.3.11: Interactive Interfaces for Results Exploration - diffify
{CBTF} 0.7.0: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner - diffify
{splitGraph} 0.3.0: Dataset Dependency Graphs for Leakage-Aware Evaluation - diffify
{bacenR} 0.4.4: Access Data from Brazilian Central Bank: IFdata, Active Institutions, Balance Sheets and Normative Acts - diffify
{actuaRE} 1.0.1: Handling Single-Level and Hierarchically Structured Risk Factors using Credibility and Random Effects Models - diffify
{hsphase} 3.0.1: Phasing, Pedigree Reconstruction, Sire Imputation and Recombination Events Identification of Half-sib Families Using SNP Data - diffify
{rjd3jars} 0.0.4: External jars for ‘rjdverse’ R Packages - diffify
{saqgetr} 0.2.24: Import Air Quality Monitoring Data in a Fast and Easy Way - diffify
{reaborn} 1.0.1: Statistical Data Visualization, the ‘seaborn’ Way - diffify
{mixor} 1.0.7: Mixed-Effects Ordinal Regression Analysis - diffify
{lfl} 2.4.0: Linguistic Fuzzy Logic - diffify
{gscramble} 1.0.2: Simulating Admixed Genotypes Without Replacement - diffify
{geslaR} 1.0-3: Get and Manipulate the GESLA Dataset - diffify
{DGEAR} 0.2.1: Differential Gene Expression Analysis with R - diffify
{cohortBuilder} 1.0.0: Data Source Agnostic Filtering Tools - diffify
{GRAB} 0.2.5: Genome-Wide Robust Analysis for Biobank Data (GRAB) - diffify
{dtgiw} 1.1.0: Discrete Transmuted Generalized Inverse Weibull Distribution - diffify
{CohortSurvival} 1.1.2: Estimate Survival from Common Data Model Cohorts - diffify
{semanticfa} 0.1.1: Semantic Factor Analysis of Language Model Embeddings - diffify
{RRPP} 2.2.0: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure - diffify
{GET} 1.0-8: Global Envelopes - diffify
{GenOrd} 2.1.0: Simulation of Discrete Random Variables with Marginal Distributions and Correlation Matrix and via a Gaussian or Student’s t Copula - diffify
{frontmatter} 0.3.0: Parse Front Matter from Documents - diffify
{rerddap} 1.3.0: General Purpose Client for ‘ERDDAP™’ Servers - diffify
{rdwd} 1.9.17: Select and Download Climate Data from ‘DWD’ (German Weather Service) - diffify
{quantregForest} 1.4-0: Quantile Regression Forests - diffify
{openalexR} 3.1.0: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API - diffify
{modsem} 1.0.21: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM) - diffify
{gsDesign} 3.10.0: Group Sequential Design - diffify
{ggseg} 2.2.1: Plotting Tool for Brain Atlases - diffify
{DrugUtilisation} 1.2.1: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
{ColombiAPI} 0.4.0: Access Colombian Data via APIs and Curated Datasets - diffify
{ChileDataAPI} 0.3.0: Access Chilean Data via APIs and Curated Datasets - diffify
{teal.modules.clinical} 0.13.0: ‘teal’ Modules for Standard Clinical Outputs - diffify
{openxlsx2} 1.28: Read, Write and Edit ‘xlsx’ Files - diffify
{neonUtilities} 4.0.1: Utilities for Working with NEON Data - diffify
{dcortools} 0.2.0: Providing Fast and Flexible Functions for Distance Correlation Analysis - diffify
{tidytree} 0.4.8: A Tidy Tool for Phylogenetic Tree Data Manipulation - diffify
{teal.slice} 0.8.1: Filter Module for ‘teal’ Applications - diffify
{mcptools} 1.0.0: Model Context Protocol Servers and Clients - diffify
{ggpp} 0.6.1: Grammar Extensions to ‘ggplot2’ - diffify
{ggfun} 0.2.1: Miscellaneous Functions for ‘ggplot2’ - diffify
{csdata} 2026.7.2: Structural Data for Norway - diffify
{Compind} 3.5: Composite Indicators Functions - diffify
{circumplex} 1.2.0: Analysis and Visualization of Circular Data - diffify
{BSL} 3.2.6: Bayesian Synthetic Likelihood - diffify
{BrazilDataAPI} 0.3.0: Access Brazilian Data via APIs and Curated Datasets - diffify
{arsenal} 3.7.1: An Arsenal of ‘R’ Functions for Large-Scale Statistical Summaries - diffify
{VARcpDetectOnline} 0.2.1: Sequential Change Point Detection for High-Dimensional VAR Models - diffify
{uaparserjs} 0.4.0: Parse ‘User-Agent’ Strings - diffify
{shades} 1.5.0: Simple Colour Manipulation - diffify
{scatterD3} 1.0.2: D3 JavaScript Scatterplot from R - diffify
{RBesT} 1.10-0: R Bayesian Evidence Synthesis Tools - diffify
{ratesci} 1.1.0: Confidence Intervals and Tests for Comparisons of Binomial Proportions or Poisson Rates - diffify
{okf} 0.7.0: Open Knowledge Format (OKF) Ingestion - diffify
{btw} 1.3.0: A Toolkit for Connecting R and Large Language Models - diffify
{ggseg3d} 2.1.2: Interactive 3D Brain Atlas Visualization - diffify
{SCEM} 1.2.0: Splitting-Coalescence-Estimation Method - diffify
{metaboData} 0.6.4: Example Metabolomics Data Sets - diffify
{EconGeo} 2.1: Computing Key Indicators of the Spatial Distribution of Economic Activities - diffify
{harmonydata} 0.3.2: R Library for ‘Harmony’ - diffify
{covercorr} 1.1.0: Coverage Correlation Coefficient and Testing for Independence - diffify
{mlr3fda} 0.7.0: Extending ‘mlr3’ to Functional Data Analysis - diffify
{clinicalomicsdbR} 1.0.6: Interface with the ‘ClinicalOmicsDB’ API, Allowing for Easy Data Downloading and Importing - diffify
{BKP} 0.3.0: Beta Kernel Process Modeling - diffify
{pdi} 0.4.3: Phenotypic Index Measures for Oak Decline Severity - diffify
{okcolors} 0.1.2: A Set of Color Palettes Inspired by OK Go Music Videos for ‘ggplot2’ in R - diffify
{netmhc2pan} 1.3.3: Interface to ‘NetMHCIIpan’ - diffify
{metamer} 0.3.1: Create Data with Identical Statistics - diffify
{ggperiodic} 1.0.4: Easy Plotting of Periodic Data with ‘ggplot2’ - diffify
{finbif} 0.10.0: Interface for the ‘Finnish Biodiversity Information Facility’ API - diffify
{faunabr} 1.1.0: Explore Catálogo Taxônomico da Fauna do Brasil Database - diffify
{duckspatial} 1.2.0: R Interface to ‘DuckDB’ Database with Spatial Extension - diffify
{brulee} 1.1.0: High-Level Modeling Functions with ‘torch’ - diffify
{wideRhino} 1.2.0: High-Dimensional Methods via Generalised Singular Decomposition - diffify
{robmixglm} 1.2-8: Robust Generalized Linear Models (GLM) using Mixtures - diffify
{powerbrmsINLA} 1.3.0: Bayesian Power Analysis Using ‘brms’ and ‘INLA’ - diffify
{OBIC} 4.3.0: Calculate the Open Bodem Index (OBI) Score - diffify
{spdesign} 0.0.6: Designing Stated Preference Experiments - diffify
{SPARTAAS} 1.2.6: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS - diffify
{resmush} 1.0.2: Optimize and Compress Image Files with ‘reSmush.it’ - diffify
{treeSS} 0.2.4: Tree-Spatial Scan Statistic for Cluster Detection - diffify
{TemporalModelR} 0.3.0: Temporally Explicit Species Distribution Modelling - diffify
{statease} 1.3.0: Simplified Statistical Analysis with Plain-English Interpretation - diffify
{madrat} 3.37.1: May All Data be Reproducible and Transparent (MADRaT) * - diffify
{llamaR} 0.2.5: Interface for Large Language Models via ‘llama.cpp’ - diffify
{landmaRk} 0.1.3: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models - diffify
{janusplot} 0.1.1: Asymmetric Smoothed-Association Matrices via GAM Fits - diffify
{grmtree} 0.2.0: Recursive Partitioning for Graded Response Models - diffify
{gatoRs} 2.0.0: Geographic and Taxonomic Occurrence R-Based Scrubbing - diffify
{basifoR} 0.7.8: Retrieval and Processing of the Spanish National Forest Inventory - diffify
{survkl} 1.0.2: Estimate Survival Data with Data Integration - diffify
{RobinCar2} 0.2.3: ROBust INference for Covariate Adjustment in Randomized Clinical Trials - diffify
{DSIR} 0.8.0: Data Science Infrastructure for Global Health - diffify
{ChinAPIs} 0.2.0: Access Chinese Data via Public APIs and Curated Datasets - diffify
{SVEMnet} 3.2.3: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression - diffify
{Rdrw} 1.0.3: Univariate and Multivariate Damped Random Walk Processes - diffify
{DegreeDayCalc} 0.1.1: Degree-Day Phenology Calculator (‘shiny’ Application) - diffify
{strollur} 0.1.3: Store and Transfer Amplicon Sequence Data - diffify
{LifeTableFertility} 0.1.1: ‘shiny’ Application for Life Table and Fertility Analysis - diffify
{LifeTableBuilder} 0.1.3: Interactive ‘shiny’ Application for Constructing Life Tables - diffify
{FoRDM} 1.0.3: Forest Many-Objective Robust Decision Making (‘FoRDM’) - diffify
{serad} 0.2.2: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d’Écrits Avec des Règles Automatisées et Dynamiques - diffify
{phoenics} 0.6.1: Pathways Longitudinal and Differential Analysis in Metabolomics - diffify
{normalize} 0.1.3: Centering and Scaling of Numeric Data - diffify
{movegroup} 2026.07.01: Visualizing and Quantifying Space Use Data for Groups of Animals - diffify
{MexicoDataAPI} 0.3.0: Access Mexican Data via APIs and Curated Datasets - diffify
{asympDiag} 0.3.3: Diagnostic Tools for Asymptotic Theory - diffify
{AIscreenR} 0.4.0: AI Screening Tools in R for Systematic Reviewing - diffify
{a5R} 0.5.0: ‘A5’ Discrete Global Grid System - diffify
{nanonext} 1.10.0: Lightweight Toolkit for Messaging, Concurrency and the Web - diffify
{ife} 0.2.5: Autodiff for Influence Function Based Estimates - diffify
{OUwie} 3.0.2: Analysis of Evolutionary Rates in an OU Framework - diffify
{releaser} 1.2.0: Help with Preparing a New Version of an R Package - diffify
{peopleanalyticsdata} 0.2.2: Data Sets for Keith McNulty’s Handbook of Regression Modeling in People Analytics - diffify
{mlt} 1.8-1: Most Likely Transformations - diffify
{ArchaeoPhases} 2.1.1: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling - diffify
{pharmaversesdtm} 1.5.0: SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify
{orthanc} 0.3.0: Programmatic Interface to ‘Orthanc’ DICOM Servers - diffify
{OpenLand} 1.0.4: Quantitative Analysis and Visualization of LUCC - diffify
{multiScaleR} 0.7.0: Methods for Optimizing Scales of Effect - diffify
{gson} 0.2.0: Base Class and Methods for ‘gson’ Format - diffify
{fastkqr} 1.0.1: A Fast Algorithm for Kernel Quantile Regression - diffify
{enrichit} 0.2.0: ‘C++’ Implementations of Functional Enrichment Analysis - diffify
{caretEnsemble} 4.0.2: Ensembles of Caret Models - diffify
{jmotif} 1.3.0: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX - diffify
{popEpi} 0.5.0: Functions for Epidemiological Analysis using Population Data - diffify
{mets} 1.3.11: Analysis of Multivariate Event Times - diffify
{structenforcement} 0.3.1: Struct-Like Data Type Checking and Enforcement - diffify
{doBy} 4.7.2: Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify
{teal.modules.general} 0.7.0: General Modules for ‘teal’ Applications - diffify
{surveillance} 1.26.0: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena - diffify
{statgenHTP} 1.0.9.3: High Throughput Phenotyping (HTP) Data Analysis - diffify
{PRISMA2020} 1.1.4: Make Interactive ‘PRISMA’ Flow Diagrams - diffify
{s20x} 3.3.0: Functions for University of Auckland Course STATS 201/208 Data Analysis - diffify
{Rook} 1.2.1: HTTP Web Server for R - diffify
{RMTstat} 0.3.2: Distributions, Statistics and Tests Derived from Random Matrix Theory - diffify
{tinyVAST} 1.6.1: Multivariate Spatio-Temporal Models using Structural Equations - diffify
{Slick} 1.0.2: Interactive Visualization of MSE Results - diffify
{unvs.med} 1.1.1: A Universal Approach for Causal Mediation Analysis - diffify
{gsDesign2} 1.1.9: Group Sequential Design with Non-Constant Effect - diffify
{mwcsr} 0.1.12: Solvers for Maximum Weight Connected Subgraph Problem and Its Variants - diffify
{SlimR} 1.1.6: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation - diffify
{rATTAINS} 1.2.0: Access EPA ‘ATTAINS’ Data - diffify
{portion} 0.1.3: Extracting a Data Portion - diffify
{lmm} 1.5: Linear Mixed Models - diffify
{Tplyr} 1.3.3: A Traceability Focused Grammar of Clinical Data Summary - diffify
{tl} 0.0.2: Tiny Logging Interface to ‘rspdlite’ Wrapping ‘spdlite’ C++20 Logging - diffify
{rchemo} 0.1-4: Dimension Reduction, Regression and Discrimination for Chemometrics - diffify
{lsirm12pl} 2.0.3: Latent Space Item Response Model - diffify
{lava} 1.9.2: Latent Variable Models - diffify
{cicalc} 0.2.2: Calculate Confidence Intervals - diffify
{limSolve} 2.0.3: Solving Linear Inverse Models - diffify
{LBBNN} 0.1.6: Latent Binary Bayesian Neural Networks Using ‘torch’ - diffify
{GeoModels} 2.2.5: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis - diffify
{dvir} 3.4.2: Disaster Victim Identification - diffify
{teal.widgets} 0.6.1: ‘shiny’ Widgets for ‘teal’ Applications - diffify
{teal} 1.2.0: Exploratory Web Apps for Analyzing Clinical Trials Data - diffify
{soilKey} 0.9.157: Automated Soil Profile Classification per WRB 2022, and USDA Soil Taxonomy 13 - diffify
{seminrExtras} 1.0.2: Conduct Additional Modeling and Analysis for ‘seminr’ - diffify
{ream} 1.0-12: Density, Distribution, and Sampling Functions for Evidence Accumulation Models - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Shiny Apps

mapsf.gui: a shiny app to make maps with R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

A little bit of generative art made with #RStats and @datawrapper.de #CreativeCoding

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) July 5, 2026 at 11:18 PM

Quotes of the Week

UseR! 2026 (@user-conf.bsky.social ) Tutorial day kicking off at Warsaw University Of Technology #rstats

[image or embed]
— Kevin Patrick O'Brien (@kobriendublin.bsky.social) July 6, 2026 at 9:22 AM

R Weekly 2026-W27 Prime Ministers, No Code Dashboards, Reproducible Research

2026-06-29T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Carroll, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

United Kingdom prime ministers by @ellis2013nz

R in Organizations

R Users

Supply Chain Planning with R: An Interview with Nicolas Nguyen, Developer of the planr R Package

R Adjacent

Why Data Scientists Are Well Positioned for the AI Revolution

Tutorials

Resources

From Data Analysis to Publication: Reproducible Research with R and Quarto

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

Introducing {aggreCAT}: Mathematical aggregation of expert judgments
tl-0.0.1 on CRAN: New Package
{egfr} 1.1.1: Estimated Glomerular Filtration Rate (eGFR) Calculators
{SNPkit} 0.1.0: S4 Tools for Reading and Organizing Genetic Data
{skymodelr} 0.3.1: Generates and Samples Realistic Terrestrial Atmospheres
{rMosaic} 0.1.3: R Bindings to the ‘Mosaic’ Visualization Framework
{DataCraftR} 0.3.2: Create Datasets Interactively Using ‘shiny’
{ggbond} 0.0.5: Interactive Layout Editor for ‘R’ Plots
{ggalttext} 0.3.0: Make ‘ggplot2’ Fully Accessible by Generating Alternative Text
{chatterbox} 0.2.1: Text-to-Speech Using the ‘Chatterbox’ Engine
{aurora} 0.1.12: Build Stateless Web Apps with ‘plumber2’
{artoo} 0.1.1: Lossless CDISC-Native Input and Output for Clinical Datasets
{inatpick} 0.2.2: Download Photos and Metadata from ‘iNaturalist’
{countryatlas} 1.0.0: Join World Bank Data, Country Codes and Maps on the ISO Spine
{geovizr} 1.0.0: Interactive Cartography
{srr} 1.0.0: ‘rOpenSci’ Software Review ‘Roclets’
{llmimpute} 0.1.0: Missing Data Imputation via Language Models and Statistics
{nfcore.utils} 0.0.4: Utilities for ‘nf-core’ Modules
{dragmapr} 0.2.0: Create Draggable Plots from Projected Geometry
{Rfuzzydid} 1.1.2: Fuzzy Difference in Differences
{kumquat} 1.1.0: A Smaller Version of LIME
{jirar} 0.1.0: Modern R Client for the Jira REST API
{pdfsigner} 0.2.4: Digitally Sign and Verify PDF Documents

Updated Packages

🔍 Search on R-universe 🔍

{golem} 1.0.0
pathfindR 3.0.0: Enrichment Analysis Utilizing Active Subnetworks
{osmdata} 0.4.0: Download OpenStreetMap data - diffify
{qol} 1.3.2: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs + diffify
{printify} 1.0.2: Custom Formatted Console Messages With Timing Support + diffify
RcppArmadillo 15.4.0-1 on CRAN: New Upstream Minor
brulee 1.0.0
{corteza} 0.7.0: AI Agent Runtime - diffify
{slendr} 1.5.0: A Simulation Framework for Spatiotemporal Population Genetics - diffify
{tmap} 4.4-1: Thematic Maps - diffify
{FeatureExtraction} 3.14.0: Generating Features for a Cohort - diffify
{igraph} 2.3.3: Network Analysis and Visualization - diffify
{Seurat} 5.5.1: Tools for Single Cell Genomics - diffify
{azr} 0.3.5: Credential Chain for Seamless ‘OAuth 2.0’ Authentication to ‘Azure Services’ - diffify
{fortunes} 1.5-5: R Fortunes - diffify
{ggsci} 5.1.0: Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’ - diffify
{raymolecule} 0.9.0: Parse and Render Molecular Structures in 3D - diffify
{astrochron} 1.7: A Computational Tool for Astrochronology - diffify
{tidyfinance} 0.7.0: Tidy Finance Helper Functions - diffify
{PacketLLM} 0.1.2: AI Assistant Gadget for ‘RStudio’ - diffify
{saber} 0.7.2: Context Engineering for Large Language Model Agents - diffify
{glasstabs} 0.3.3: Animated Glass-Style Tabs and Multi-Select Filter for ‘Shiny’ - diffify
{pensar} 0.6.4: LLM Wiki Engine - diffify
{rformat} 0.2.0: Base R Code Formatter - diffify
{tinyrox} 0.4.0: Minimal R Documentation Generator - diffify
{tinypkgr} 0.2.2: Minimal R Package Development Utilities - diffify
{muttest} 0.2.1: Mutation Testing - diffify
{tinyoauth} 0.1.1: Minimal OAuth 2.0 Client - diffify
{dotwhisker} 0.8.6: Dot-and-Whisker Plots of Regression Results - diffify
{broman} 0.96: Karl Broman’s R Code - diffify
{RClickhouse} 0.6.11: ‘Yandex Clickhouse’ Interface for R with Basic ‘dplyr’ Support - diffify
{gridpattern} 1.4.2: ‘grid’ Pattern Grobs - diffify
{surveydown} 1.3.0: Markdown-Based Programmable Surveys Using ‘Quarto’ and ‘shiny’ - diffify
{aplot} 0.3.0: Decorate a ‘ggplot’ with Associated Information - diffify
{flowchart} 1.0.1: Tidy Flowchart Generator - diffify
{checked} 0.5.4: Systematically Run R CMD Checks - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Internationally

🇪🇸 {territorial}: un paquete de R para trabajar con datos de comunas y regiones de Chile

Hiring

Commercial Analyst – LK Packaging (R, Python, SQL, Power BI)

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @repositories_news@rstats.me

View on Mastodon

Post by @coatless@mastodon.social

View on Mastodon

Post by @kupac@functional.cafe

View on Mastodon

R Weekly 2026-W26 Rousseeuw Prize, Celebrating Maintainers, AI Tips

2026-06-22T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real Worlds

10 tips for getting better R code from your AI coding agent

R in Organizations

R in Academia

Auditing LLM Trading: Bridging Theory and Market Reality with the GT table in R

Tutorials

New Packages

📦 Keep up to date with CRANberries 📦

CRAN

Make accessible, Universal-Design-oriented ggplots fast with {ggplotplus} (now on CRAN)!

rspdlite 0.1.0-1 on CRAN: New Package!
rbenchmark 1.0.1 on CRAN: New(ly Adopted) Package!
{talib}: Interactive financial charts
New CRAN Package for sparse PCA – msPCA
DIVINE: a new R package for working with a real-world COVID-19 clinical cohort
pkgsite 0.1.0: Convert your .Rd files to Quarto
{rurl} 1.2.0: Parse, Clean, and Normalize URLs
{ppmSDR} 2.0.0: Penalized Principal Machine for Sufficient Dimension Reduction
{pavdata} 0.1.0: Transportation Infrastructure Data Toolbox
{mx.client} 0.1.1: Stateful Matrix Client Helpers
{simplexgof} 0.1.0: Bootstrap-Calibrated Goodness-of-Fit Test for Simplex Regression
{rotio} 0.1.0: Pure-R ‘OpenTimelineIO’ Document Model
{daoh} 0.1.0: Days Alive and Out of Hospital (DAOH) Calculation
{nirs4alldatasets} 0.2.0: Acquire Curated NIRS Reference Datasets (‘nirs4all-datasets’)
{impala} 0.1.0: Bayesian Model Calibration
{devkit} 1.0.0: Practical Utilities for Package Development and Session Auditing
{proratar} 0.1.0: Proportional Allocation with Sum Consistency
{NDPalette} 1.0.0: Notre Dame Color Palettes for R
{climatestatsr} 0.1.2: Statistical Tools for Climate Change Analysis
{nonabsdid} 0.3.2: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments
{cairovolt} 1.0.0: E-Commerce Charging & Audio Equipment Analysis Utilities
{nlmixr2save} 0.1.0: Save ‘nlmixr2’ Fits in a Format Readable Outside ‘nlmixr2’
{MoonShineR} 1.1.0: Predict Moonlight, Sunlight, and/or Twilight Ground Illuminance
{ggplotplus} 0.5.5: Universal Design-Oriented Enhancements for ‘ggplot2’
{ggmemo} 0.1.0: Add Arrows, Labels, and Change Annotations to ‘ggplot2’ Charts

{metainsight} 7.1.0: A ‘shiny’ Application for Network Meta-Analysis
{llmjoin} 0.3.0: LLM-Powered Fuzzy Join
{CEACT} 0.5.0: Cost-Effectiveness Analysis Toolkit for Clinical Trials
{cdCAT} 0.1.0: Computerized Adaptive Testing with Cognitive Diagnostic Models
{rspdlite} 0.1.0-1: R and C++ Interfaces to ‘spdlite’ C++ Header Library for Logging
{hellokitty} 0.1: A Hello Kitty Color Palette Generator
{dtsmartr} 0.1.0: Interactive Virtualized Data Explorer Grid Widget

{bptips} 0.1.0: Server Earnings Calculations
{aRxiv} 0.20: Interface to the arXiv API - diffify
{mMARCH.AC} 3.3.4.3: Processing of Accelerometry Data with ‘GGIR’ in mMARCH - diffify
{SAMtool} 1.9.2: Stock Assessment Methods Toolkit - diffify
{countries} 1.2.3: Deal with Country Data in an Easy Way - diffify

GitHub or Bitbucket or GitLab

{dsprrr}: Programming - not promptint - LLMs in R
{tooey}: TUI framework for R

Updated Packages

🔍 Search on R-universe 🔍

Rhino 1.12.0: Code Coverage and AI Agent Support for Shiny Apps
cheetahR 0.4.0: editable Shiny tables get an autocomplete column
webR 0.6.0
dbplyr 2.6.0
tidyclust 0.3.0
{mapgl} 0.5.0: Interactive Maps with ‘Mapbox GL JS’ and ‘MapLibre GL JS’ - diffify
{treesitter.r} 1.3.0: ‘R’ Grammar for ‘Tree-Sitter’ - diffify
{qtlcharts} 0.22: Interactive Graphics for QTL Experiments - diffify
{rampage} 0.2.1: Calibrated Color Ramps - diffify
{mmrm} 0.3.18: Mixed Models for Repeated Measures - diffify
{cartographr} 0.2.5: Crafting Print-Ready Maps and Layered Visualizations - diffify
{withr} 3.0.3: Run Code ‘With’ Temporarily Modified Global State - diffify
{graphlayouts} 1.2.4: Additional Layout Algorithms for Network Visualizations - diffify
{LLMTranslate} 0.4.0: ‘shiny’ App for TRAPD/ISPOR Survey Translation with LLMs - diffify
{datadiff} 0.5.0: Data Validation Based on ‘YAML’ Rules - diffify
{twbparser} 0.5.0: Parse ‘Tableau’ Workbooks into Tidy Data and Dependency Graphs - diffify
{nycOpenData} 0.2.2: A Lightweight Interface to NYC Open Data APIs - diffify
{siera} 0.5.6: Generate Analysis Results Programmes Using ARS Metadata - diffify
{tidyEmoji} 0.2.0: Discover, Count and Score Emoji in Text - diffify
{HealthMarkers} 0.1.4: Clinical and Metabolic Biomarker Calculation Toolkit - diffify
{rayrender} 0.41.3: Build and Raytrace 3D Scenes - diffify

{gazepath} 1.4: Parse Eye-Tracking Data into Fixations - diffify

Videos and Podcasts

Shiny Apps

R Internationally

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @rmflight@mastodon.social

View on Mastodon

R Weekly 2026-W25 Posit Agents, Three Dots, Ulam Spiral

2026-06-15T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

R in Organizations

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{SmokingHistoryGenerator} 6.5.3-1.0.1: R Package for the Smoking History Generator
{mx.crypto} 0.2.0: Matrix End-to-End Encryption Primitives
{gtfsrealtime} 0.2.1: Read GTFS-Realtime Files into Data Frames
{speechmatics} 0.1.0: Client for the ‘Speechmatics’ Speech-to-Text API
{scilintr} 0.1.1: Scientific Code Lint for R Analyses
{logcumulant} 0.1.0: Goodness-of-Fit Tests and Diagrams Based on Mellin Log-Cumulants
{coresynth} 0.2.0: Fast and Unified Synthetic Control Methods
{cookie} 1.0.0: HTTP Cookies Parser Middleware
{schemate} 0.1.0: Schema Inference, Editing, and Validation with ‘checkmate’
{pulso} 0.1.0: Load Microdata from Colombia’s ‘GEIH’ (‘DANE’)
{nlfh} 0.1.0: Nonlinear Fay-Herriot Models for Small Area Estimation
{CopulaSCR} 1.0.1: Analysis of Semi-Competing Risks Data Using Copula-Based Models
{tabular} 0.1.0: Render Tables and Listings for Clinical Submissions
{ShinyBlock} 0.1.3: Multi-Protocol Blockchain Simulator and Enterprise Ledger Framework
{punycoder} 1.0.0: Unicode and Punycode Domain Name Processing
{impower133} 1.0.0: Reproduce IMpower133 Clinical Trial Results
{tutorizeR} 0.4.5: Convert R Markdown or Quarto Content into Interactive Tutorials
{sysreqr} 0.1.0: Preflight Checks for ‘R’ Package System Requirements
{rtrees} 2.0.2: Deriving Phylogenies from Synthesis Trees
{pvarife} 0.1.1: Panel VAR Models with Interactive Fixed Effects
{myIO} 1.2.0: Interactive Data Visualizations Using ‘d3.js’
{mums2} 0.1.0: Microbial Ecology by Tandem Mass Spectrometry
{fluffy} 1.0.0: Schema-Based Validation of ‘R’ Objects with User-Defined Rules
{exeval} 0.0.1: External Evaluation of Population Pharmacokinetic-Pharmacodynamic (popPKPD) Models
{deepImp} 1.1.0: Imputation with Deep Learning Methods
{CircularRegression} 0.5.1: Circular Regression Models
{pkgmatch} 0.5.4: Find R Packages Matching Either Descriptions or Other R Packages
{hcinfer} 0.1.0: Heteroskedasticity-Consistent Inference for Linear Models
{dcorBSS} 1.0-0: Distance-Correlation Based Methods for Blind Source Separation and Dependence Analysis
{clusterindices} 1.0: Cluster Validity Indices
{tinydng} 0.1.0-0: ‘TinyDNG’ C++ Header Files
{stbimageheaders} 0.1.0: ‘stb’ Image C/C++ Header Files
{normality} 0.0.1: Tests for Departure from Normality
{wbCorr} 0.3.1: Bivariate Within- and Between-Cluster Correlations
{quak} 0.1.0: Query ‘Azure Data Lake Storage Gen2’ with ‘DuckDB’
{qtbi} 0.1.2: Quantum Toxic Burden Index
{plantmix} 1.0.2: Genetic Study of Plant Mixtures
{ofhsyn} 0.1.1: Synthetic Our Future Health Data Generator
{harness} 0.1.0: Curated Agentic Harnesses for R Professional Roles
{evoFE} 0.1.0: Evolutionary Feature Engineering
{cox.rvph} 0.1.1: Remedy the Violation of the Proportional Hazards Assumption of Cox Regression
{spDBL} 1.0.2: Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
{NeutroCODsAnalysis} 0.1.0: Neutrosophic Analysis Crossover Designs
{mimar} 0.8.0: Compact Multiple Imputation, Assessment, and Reporting
{consolidatePacks} 1.0.0: Eliminate ‘@import’ by Incorporating Dependencies Directly into the Package
{cash} 1.0.2: Discrete Choice and Competitive Reactions: End-to-End Simulation
{NetSurvProx} 1.0.0: Network-Based Survival Analysis via Proximal Methods
{vizClust} 0.1.0: Visualization and Exploration of Cluster Transitions
{Uno} 2.7.3-1: R Interface to the ‘Uno’ Nonlinear Optimization Solver
{twinsvm} 0.0.2: Twin Support Vector Machines
{sparsediff} 0.4.0: R Interface to the ‘SparseDiffEngine’ Sparse Differentiation Backend
{rrstools} 1.1.0: Analyzing RoboCupRescue Simulation Data
{onnxr} 0.1.2: Bindings to ‘ONNX’ Runtime
{DrivePlotR} 0.1.0: Linked Plot Maps for Multivariate High-Resolution Spatio-Temporal Data
{data.checker} 2.0.0: Data Checker for Validating Data Frames Against Defined Schema
{bvars} 1.0: Bayesian Forecasting with Large Vector Autoregressions
{AdmixPoly} 1.0.0: Global and Local Admixture Inference in Polyploids
{saferDev} 1.0.0: Function and Pipeline Development
{rsgl} 0.1.0: An Implementation of the ‘SGL’ Graphics Language
{PMLE4SCR} 0.1.0: Pseudo Maximum Likelihood Estimation for Semi-Competing Risks Data
{irtbem2pl} 1.0.0: Marginalized Bayesian Item Parameter Estimation, 2pl Model IRT
{genefindr} 1.0.0: Rapid Gene Characterization Using Public Genomic Databases
{binest} 0.2-1: Estimation of Group Means and SDs from Binned Count Data
{tlgarima} 0.1.0: The Topp-Leone Garima Distribution
{spboost} 0.7.0: Gradient Boosting for Nonlinear Spatial Autoregressive Models
{NeutroRCDsAnalysis} 0.1.1: Neutrosophic Analysis of Row Column Designs
{iDIFr} 1.0.1: Intersectional Differential Item Functioning Analysis
{FastSegmentation} 0.0.1: Unsupervised Cell Segmentation by Fast Gaussian Processes
{easyRasch2} 0.8.0: Psychometric Analysis with Rasch Measurement Theory
{CIMEHR} 0.1.0: Gaussian Clinically Informative Visiting and Observation Processes in Electronic Health Record (EHR) Data
{chmsflow} 0.1.0: Transforming and Harmonizing CHMS Variables
{BayesForge} 0.0.1: Bayesian Inference using ‘numpyro’ and ‘XLA’
{autocodebook} 0.1.0: Automatic Codebook and Tracking for ‘Spark’ and ‘dplyr’ Pipelines
{aisdk.providers} 0.1.0: Additional Model Provider Adapters for the ‘aisdk’ Toolkit
{seine} 0.1.2: Semiparametric Ecological Inference
{autoLibLoad} 1.0: Automate Retrieving, Building, Installing and Loading Specified Packages
{wqrr} 1.0.0: Wavelet Quantile Regression Toolbox
{rsdv} 0.2.0: Synthetic Tabular Data Generation with Gaussian Copulas
{OlinkAnalyzeVignettes} 1.0.1: Vignettes for Analyzing Data using ‘OlinkAnalyze’
{DonutMap} 0.1.0: Donut Maps with ‘sf’, ‘ggplot2’, and ‘leaflet’
{HAMMER} 1.0: High-Dimensional Factor-Analytic Representation Modeling and Metrics
{yaap} 1.0.0: A Toolkit for Archetypal Analysis Methods
{ValidationExplorer} 0.1.1: Simulation-Based Tools for Bioacoustic Study Design
{SKBD} 0.1.1: Shared Keyboard Designs for Phase I Dose-Finding Trials
{shinyphaser} 0.1.0: An Interface to the ‘Phaser.js’ Game Framework
{PsiUEngineRL} 0.1.3: Homotopy Type Theory Engine for Reinforcement Learning
{NRMstatsML} 0.1.4: Statistical and Machine Learning Engine for Long-Term Natural Resource Management Data
{AutoMLR} 1.0.0: Automated Multi-Outcome Machine Learning Combination Models

GitHub or Bitbucket or GitLab

Introducing shinyds

Updated Packages

🔍 Search on R-universe 🔍

{diversityArch} 0.3.0: Computes Diversity Indices with Archaeological Data - diffify
{ccar3} 0.1.2: Canonical Correlation Analysis via Reduced Rank Regression - diffify
{BayesERtools} 0.2.6: Bayesian Exposure-Response Analysis Tools - diffify
{rstanemax} 0.1.10: Emax Model Analysis with ‘Stan’ - diffify
{RGraphSpace} 1.4.0: A Lightweight Interface Between ‘igraph’ and ‘ggplot2’ Graphics - diffify
{bioRad} 0.12.0: Biological Analysis and Visualization of Weather Radar Data - diffify
{bbotk} 1.10.1: Black-Box Optimization Toolkit - diffify
{ProbeDeveloper} 1.1.2: Develop Hybridization Probes - diffify
{rcatfish} 1.0.3: An R Interface to the California Academy of Sciences Eschmeyer’s Catalog of Fishes - diffify
{harmony} 2.0.5: Fast, Sensitive, and Accurate Integration of Single Cell Data - diffify
{focus} 0.1.7: Online Changepoint Detection in Univariate and Multivariate Data Streams - diffify
{ledger} 2.1.1: Utilities for Importing Data from Plain Text Accounting Files - diffify
{joinspy} 0.8.2: Diagnostic Tools for Data Frame Joins - diffify
{h3sdm} 0.1.5: Species Distribution Modeling with H3 Grids - diffify
{earthdatalogin} 0.0.4: NASA ‘EarthData’ Access Utilities - diffify
{netUtils} 0.8.6: A Collection of Tools for Network Analysis - diffify
{MDP2} 2.2.2.0: Markov Decision Processes (MDPs) - diffify
{iccde} 0.3.9: Computation of the Double-Entry Intraclass Correlation - diffify
{TemporalHazard} 1.1.0: Temporal Parametric Hazard Modeling - diffify
{hellodatascience} 0.1.1: Datasets from the Hello Data Science Book - diffify
{sdcMicro} 5.8.2: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation - diffify
{rayimage} 0.26.1: Image Processing for Simulated Cameras - diffify
{msPCA} 0.4.1: Sparse Principal Component Analysis with Multiple Principal Components - diffify
{mfrmr} 0.2.1: Estimation and Diagnostics for Many-Facet Measurement Models - diffify
{tabnet} 0.9.0: Fit ‘TabNet’ Models for Classification and Regression - diffify
{mtarm} 0.1.9: Bayesian Estimation of Multivariate Threshold Autoregressive Models - diffify
{metalite.sl} 0.1.2: Subject-Level Analysis Using ‘metalite’ - diffify
{JDCruncheR} 0.4.0: ‘JDemetra+’ Quality Report Generator - diffify
{boxly} 0.1.2: Interactive Box Plot - diffify
{admiralophtha} 1.5.0: ADaM in R Asset Library - Ophthalmology - diffify
{futurize} 1.0.0: Parallelize Common Functions via One Magic Function - diffify
{fastreg} 0.13.8: Fast Conversion and Querying of Danish Registers with ‘Parquet’ - diffify
{Rrepest} 1.6.14: An Analyzer of International Large Scale Assessments in Education - diffify
{IceSat2R} 1.1.0: ‘ICESat-2’ Altimeter Data using R - diffify
{cpp4r} 1.0.0: Header-Only ‘C++’ and ‘R’ Interface - diffify
{armadillo4r} 1.0.0: An ‘Armadillo’ Interface - diffify
{admiral} 1.5.0: ADaM in R Asset Library - diffify
{bayesefa} 0.0.0.6: Bayesian Exploratory Factor Analysis - diffify
{ebrahim.gof} 2.0.0: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression - diffify
{secretbase} 1.3.0: Cryptographic Hash Functions and Data Encoding - diffify
{srlars} 3.0.0: Fast and Scalable Cellwise-Robust Ensemble - diffify
{RaceID} 0.4.1: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data - diffify
{paisaje} 0.3.0: Spatial and Environmental Data Tools for Landscape Ecology - diffify
{graphonmix} 0.1.1: Generates Dense and Sparse Graphs using Graphon Extensions - diffify
{glmx} 0.2-2: Generalized Linear Models Extended - diffify
{forestly} 0.1.5: Interactive Forest Plot - diffify
{dataSDA} 0.2.6: Datasets and Basic Statistics for Symbolic Data Analysis - diffify
{tidyusmacro} 0.2.0: Downloading and Cleaning U.S. Macroeconomic Data - diffify
{rsynthbio} 4.2.0: Synthesize Bio API Wrapper - diffify
{pkglite} 0.2.6: Compact Package Representations - diffify
{heritability} 1.5: Marker-Based Estimation of Heritability Using Individual Plant or Plot Data - diffify
{autoMR} 1.2.0: Automated Mendelian Randomization Workflows and Visualizations - diffify
{semmcci} 1.1.6: Monte Carlo Confidence Intervals in Structural Equation Modeling - diffify
{vectra} 0.7.1: Columnar Query Engine for Larger-than-RAM Data - diffify
{rstudioapi} 0.19.0: Safely Access the RStudio API - diffify
{RcppThread} 2.4.0: R-Friendly Threading in C++ - diffify
{betaNB} 1.0.7: Bootstrap for Regression Effect Sizes - diffify
{betaMC} 1.3.4: Monte Carlo for Regression Effect Sizes - diffify
{colleyRstats} 0.1.0: Functions to Streamline Statistical Analysis and Reporting - diffify
{betaSandwich} 1.0.9: Robust Confidence Intervals for Standardized Regression Coefficients - diffify
{betaDelta} 1.0.7: Confidence Intervals for Standardized Regression Coefficients - diffify
{surveysd} 2.0.3: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs - diffify
{MacroFilters} 0.2.1: Robust Trend-Cycle Decomposition for Macroeconomic Time Series - diffify
{demofit} 0.1.4: Parametric Mortality Curve Fitting and Mortality Forecasting Tools - diffify
{compindexR} 0.1.4: Calculates Composite Index - diffify
{tidyhydat} 1.0.1: Extract and Tidy Canadian ‘Hydrometric’ Data - diffify
{flexFitR} 1.2.3: Flexible Non-Linear Least Square Model Fitting - diffify
{Rapp} 0.4.0: Easily Build Command Line Applications - diffify
{ggRandomForests} 3.1.0: Visually Exploring Random Forests - diffify
{getRad} 0.3.0: Download Radar Data for Biological Research - diffify
{fixes} 0.11.2: Staggered DiD Tools: Event Studies and ATT Aggregation - diffify
{wpeR} 0.2.0: Streamlined Analysis of Wild Pedigree Data - diffify
{rtmpinvi} 2.0.0: Interactive Tabular Matrix Problems via Pseudoinverse Estimation - diffify
{rlppinv} 2.0.0: Linear Programming via Regularized Least Squares - diffify
{risk.assessr} 4.1.0: Assessing Package Risk Metrics - diffify
{restriktor} 0.6-50: Restricted Statistical Estimation and Inference for Linear Models - diffify
{prioritizrdata} 0.3.3: Conservation Planning Datasets - diffify
{discnorm} 0.2.2: Test for Discretized Normality in Ordinal Data - diffify
{rclsp} 2.0.1: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems - diffify
{palaeoverse} 1.5.0: Prepare and Explore Data for Palaeobiological Analyses - diffify
{mlr3} 1.7.1: Machine Learning in R - Next Generation - diffify
{wrGraph} 1.3.16: Graphics in the Context of Analyzing High-Throughput Data - diffify
{fluidsynth} 1.0.3: Read and Play Digital Music (MIDI) - diffify
{bbk} 0.11.0: Client for Central Bank APIs - diffify
{BAwiR} 1.5.2: Analysis of Basketball Data - diffify
{spada} 0.1.6: A ‘shiny’ Package for Data Analysis - diffify
{mlr3cluster} 0.4.0: Cluster Extension for ‘mlr3’ - diffify
{equil2} 1.1.0: Calculate Urinary Saturation with the EQUIL2 Algorithm - diffify
{standardlastprofile} 2.0.0: BDEW Standard Load Profiles for Electricity and Gas - diffify
{SQMtools} 1.8.0: Analyze Results Generated by the ‘SqueezeMeta’ Pipeline - diffify
{SdeaR} 1.1.0: Stochastic Data Envelopment Analysis - diffify
{InsuSensCalc} 0.1.0: Insulin Sensitivity Indices Calculator - diffify
{W3CMarkupValidator} 0.2-4: R Interface to W3C Markup Validation Services - diffify
{INLAvaan} 0.2.5: Approximate Bayesian Latent Variable Analysis - diffify
{BMisc} 1.4.9: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results - diffify
{FactoMineR} 2.15: Multivariate Exploratory Data Analysis and Data Mining - diffify
{tgml} 0.5.0: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics - diffify
{plmmr} 4.3.0: Penalized Linear Mixed Models for Correlated Data - diffify
{Andromeda} 1.2.1: Asynchronous Disk-Based Representation of Massive Data - diffify
{SuperSurv} 0.1.7: A Unified Framework for Machine Learning Ensembles in Survival Analysis - diffify
{nascaR.data} 3.1.0: NASCAR Race Data - diffify
{lang} 0.1.2: Translates R Help Documentation using Large Language Models - diffify
{ibkrcp} 0.1.2: R Client for the Interactive Brokers Client Portal API - diffify
{symengine} 0.2.13: Interface to the ‘SymEngine’ Library - diffify
{restfulr} 0.0.17: R Interface to RESTful Web Services - diffify
{nlmixr2plot} 5.0.2: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions - diffify
{distributional} 0.7.1: Vectorised Probability Distributions - diffify
{dream} 2.1.3: Dynamic Relational Event Analysis and Modeling - diffify
{OPI} 3.1.1: Open Perimetry Interface - diffify
{LBI} 0.2.5: Likelihood Based Inference - diffify
{jrt} 1.2.0: Item Response Theory Modeling and Scoring for Judgment Data - diffify
{fitPS} 1.0.6: Fit Zeta Distributions to Forensic Data - diffify
{DFA.CANCOR} 0.4.3: Linear Discriminant Function and Canonical Correlation Analysis - diffify
{shrinkem} 0.3.0: Approximate Bayesian Regularization for Parsimonious Estimates - diffify
{tbm} 0.3-11: Transformation Boosting Machines - diffify
{mx.api} 0.3.0: Minimal Matrix Client-Server API - diffify
{joinpointR} 1.0.0: Tidy Tools for Joinpoint Regression Models - diffify
{wizaRdry} 0.6.16: A Magical Framework for Collaborative & Reproducible Data Analysis - diffify
{vennDiagramLab} 2.4.2: Headless Venn Diagram Analysis and Rendering - diffify
{nuggets} 2.2.1: Extensible Framework for Data Pattern Exploration - diffify
{scaledescr} 0.2.7: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data - diffify
{opticskxi} 1.2.2: OPTICS K-Xi Density-Based Clustering - diffify
{CohortSymmetry} 0.3.0: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model - diffify
{zip} 3.0.0: Cross-Platform ‘zip’ Compression - diffify
{TreeDist} 2.14.1: Calculate and Map Distances Between Phylogenetic Trees - diffify
{rhino} 1.12.0: A Framework for Enterprise Shiny Applications - diffify
{NeutroRCDsAnalysis} 0.1.1: Neutrosophic Analysis of Row Column Designs - diffify
{metamorphr} 0.4.1: Tidy and Streamlined Metabolomics Data Workflows - diffify
{LFM} 0.3.4: Laplace Factor Model Analysis and Evaluation - diffify
{gmwmx2} 0.0.5: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data - diffify
{test.assessr} 2.1.2: Assessing Package Test Reliability and Quality - diffify
{scpi} 4.0.1: Synthetic Control Methods - diffify
{admiraldev} 1.5.0: Utility Functions and Development Tools for the Admiral Package Family - diffify
{rYWAASB} 0.4: Simultaneous Selection by Trait and WAASB Index - diffify
{rtdists} 0.11-6: Response Time Distributions - diffify
{outstandR} 2.0.0: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data - diffify
{factorana} 1.7.1: Factor Model Estimation with Latent Variables - diffify
{NeutroCODsAnalysis} 0.1.0: Neutrosophic Analysis Crossover Designs - diffify
{goldilocks} 0.5.0: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints - diffify
{AIUQ} 0.5.5: Ab Initio Uncertainty Quantification - diffify
{spmodel} 0.13.0: Spatial Statistical Modeling and Prediction - diffify
{r2rtf} 1.3.1: Easily Create Production-Ready Rich Text Format (RTF) Tables and Figures - diffify
{plotthis} 0.12.1: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
{netmeta} 3.6-0: Network Meta-Analysis using Frequentist Methods - diffify
{mlr3misc} 0.22.0: Helper Functions for ‘mlr3’ - diffify
{epsiwal} 0.2.0: Exact Post Selection Inference with Applications to the Lasso - diffify
{DRDID} 1.3.0: Doubly Robust Difference-in-Differences Estimators - diffify
{autoFC} 1.0.0.1001: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests - diffify
{betaselectr} 0.2.1: Betas-Select in Structural Equation Models and Linear Models - diffify
{soilassessment} 1.3.1: Soil Health Assessment Models for Assessing Soil Conditions and Suitability - diffify
{twinsvm} 0.0.2: Twin Support Vector Machines - diffify
{reproducer} 0.6.0: Reproduce Statistical Analyses and Meta-Analyses - diffify
{manydist} 0.5.0: Distance-Based Learning for Mixed-Type Data - diffify
{confMeta} 0.1.1: Confidence Curves and P-Value Functions for Meta-Analysis - diffify
{vol2birdR} 1.3.0: Vertical Profiles of Biological Signals in Weather Radar Data - diffify
{tikatuwq} 0.9.0: Water Quality Assessment and Environmental Compliance in Brazil - diffify
{savvyPR} 0.1.2: Savvy Parity Regression Model Estimation with ‘savvyPR’ - diffify
{wjake} 1.0.1: Personal Themes and Formatting Preferences - diffify
{serpstatr} 0.4.2: ‘Serpstat’ API Wrapper - diffify
{dbscan} 1.2.5: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms - diffify
{CKNNRLD} 0.1.4: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data - diffify
{WMAP} 1.3.1: Weighted Meta-Analysis with Pseudo-Populations - diffify
{REDCapSync} 0.1.1: Encapsulated ‘REDCap’ Projects for Synchronized Data Pipelines - diffify
{llmclean} 0.1.1: LLM-Assisted Data Cleaning with Multi-Provider Support - diffify
{tesouror} 0.2.3: Access Brazilian National Treasury Open Data APIs - diffify
{semTests} 0.9.0: Robust Test Statistics for Structural Equation Models - diffify
{qtl2convert} 0.34: Convert Data among QTL Mapping Packages - diffify
{openssl} 2.4.2: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL - diffify
{mlr3learners} 0.15.0: Recommended Learners for ‘mlr3’ - diffify
{deckroadmap} 0.1.5: Roadmap Footers for ‘Reveal.js’ Slides in ‘Quarto’ and ‘R Markdown’ - diffify
{cABCanalysis} 1.0.1: Computed ABC Analysis - diffify
{mlt.docreg} 1.1-13: Most Likely Transformations: Documentation and Regression Tests - diffify
{dtw} 1.23-3: Dynamic Time Warping Algorithms - diffify
{decompr} 6.9.0: Global Value Chain Decomposition - diffify
{multiRL} 0.4.5: Reinforcement Learning Tools for Multi-Armed Bandit - diffify
{cv} 2.0.6: Cross-Validating Regression Models - diffify
{survPen} 2.0.5: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models - diffify
{pre} 1.0.9: Prediction Rule Ensembles - diffify
{mvglmmRank} 1.2-5: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams - diffify
{fb4package} 2.1.0: ‘Fish Bioenergetics 4.0’ Model Implementation with High-Performance ‘TMB’ Backend - diffify
{climatehealth} 1.0.2: Statistical Tools for Modelling Climate-Health Impacts - diffify
{pleioh2g} 0.1.3: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics - diffify
{mori} 0.2.1: Shared Memory for R Objects - diffify
{catekappa} 0.1.1: Design and Analysis of Consistency Tests Based on Kappa Statistic - diffify
{extr} 1.1.1: Extinction Risk Estimation - diffify
{cotram} 0.6-1: Count Transformation Models - diffify
{rsdv} 0.2.0: Synthetic Tabular Data Generation with Gaussian Copulas - diffify
{nmw} 0.3.1: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics - diffify
{ICSNP} 1.1-3: Tools for Multivariate Nonparametrics - diffify
{HaploCatcher} 2.0.1: A Predictive Haplotyping Package - diffify
{CVXR} 1.9.1: Disciplined Convex Optimization - diffify
{CCMnet} 1.1.2: Congruence Class Models for Networks - diffify
{simcross} 0.10: Simulate Experimental Crosses - diffify
{qtl2} 0.42: Quantitative Trait Locus Mapping in Experimental Crosses - diffify
{broman} 0.94: Karl Broman’s R Code - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Gist & Cookbook

Little useless-useful R functions – Ulam Prime Spiral

R Internationally

R Project Updates

Updates from R Core:

Call for Participation

R/Pharma genAI Day 2026 on June 16, 2026

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @nrennie@fosstodon.org

View on Mastodon

Quotes of the Week

Post by @brodriguesco@fosstodon.org

View on Mastodon

R Weekly 2026-W24 R Version Update, Refactoring, Your Tests Lie to You

2026-06-08T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

Insights

Refactoring with Jarl: a coffee chat

R in Organizations

Tutorials

What is data.gov.scot and why are we doing it?

Resources

Modernizing Clinical Trial Design and Analysis to Improve Efficiency & Flexibility

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{nlmixr2targets} 0.1.0: Targets for ‘nlmixr2’ Pipelines
{GeoDensityR} 0.1.2: Generate Density Rasters from Polygon and Census Data
{ensembleML} 0.2.5: Unified Interface for Ensemble Machine Learning Methods
{shinyds} 0.2.2: ‘Shiny’ Bindings for Designsystemet Components
{MSN} 0.1.0: Multivariate Survival Data with Network Structures
{ggcircular} 0.1.0: A ‘ggplot2’ Extension for Circular and Directional Data
{tamd} 1.0.2: Transcendental Algorithm for Mixtures of Distributions
{polish} 0.3.1: Polishing Content for ‘Word’ and ‘PowerPoint’
{twscrapeR} 0.1.3: Twitter/X Scraping via Python’s ‘twscrape’ Library
{opencltools} 0.8.1: ‘OpenCL’ Tools for R Package Developers
{AIGRA} 0.1.2: Agentic Item Generation, Review, and Analysis
{HOME} 0.1.0: Harmonized Orphanhood Mortality Estimation
{admixr2} 0.1.0: Aggregate Data Modelling
{TestNet} 1.0: A Method for Inferring Microbial Networks with FDR Control
{DENSaftertransform} 0.1: Estimating Density after Logarithmic or Power Transformation of Data
{db2pq} 0.0.4: Export Database Tables to ‘Parquet’

GitHub or Bitbucket or GitLab

ggshroom: Tiny companion to ggimage for plotting fungal and fungus-like icons

Updated Packages

🔍 Search on R-universe 🔍

{airr} 1.6.1: AIRR Data Representation Reference Library - diffify
{mvtnorm} 1.4-1: Multivariate Normal and t Distributions - diffify
{multivarious} 0.3.2: Extensible Data Structures for Multivariate Analysis - diffify
{smriti} 0.2.0: Automated Routing Engine for Longitudinal Missing Data - diffify
{tablet} 0.8.1: Tabulate Descriptive Statistics in Multiple Formats - diffify
{lang} 0.1.1: Translates R Help Documentation using Large Language Models - diffify
{ggpicrust2} 2.5.17: Make ‘PICRUSt2’ Output Analysis and Visualization Easier - diffify
{eyeris} 3.1.0: Flexible, Extensible, & Reproducible Pupillometry Preprocessing - diffify
{Transform} 1.1: Statistical Transformations - diffify
{Rrepest} 1.6.13: An Analyzer of International Large Scale Assessments in Education - diffify
{NNS} 12.1: Nonlinear Nonparametric Statistics - diffify
{scModels} 1.0.5: Fitting Discrete Distribution Models to Count Data - diffify
{primer} 1.2.1: Functions and Data for the Book, a Primer of Ecology with R - diffify
{qcluster} 2.0.1: Clustering via Quadratic Scoring - diffify
{goodpractice} 1.1.0: Advice on R Package Building - diffify
{ggforestplotR} 0.2.2: Publication-Ready Forest Plots with ‘ggplot2’ - diffify
{CompositionalClust} 1.3: Clustering with Compositional Data - diffify
{callr} 3.8.0: Call R from R - diffify
{AIGRA} 0.1.2: Agentic Item Generation, Review, and Analysis - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Another new generative art system built in #RStats 🎨 #GenArtClub #GenerativeArt #Rtistry #CreativeCoding

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) June 5, 2026 at 1:45 PM

Quotes of the Week

Oh no, are they vibe coding macOS now?

[image or embed]
— Action Retro (@actionretro.bsky.social) June 2, 2026 at 3:09 AM

R Weekly 2026-W23 Building a computer, Toolbars, Memory model

2026-06-01T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members and contributors.

Highlights

Insights

{alt=”Diagram showing how mirai::try_mirai() composes with mori::share()” width=”600”}

R in the Real World

Sustainable energy for all - Scrollytelling visualisation

{width=”600”}

R in Organizations

rOpenSci News Digest, May 2026

Tutorials

{width=”600”}

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{snapr} 0.1.0: Convenient Snapshot Testing Functions for Packages
{CopernicusDataspace} 0.0.1: Search Download and Handle Data from the Copernicus Data Space Ecosystem
{prakriti} 0.1.4: Color Palettes Inspired by India’s Natural Landscapes
{ImmuneSigR} 0.1.0: Immune Cell Signature Retrieval and Single-Cell Scoring
{gedi2} 2.3.4: Gene Expression Decomposition and Integration
{vennDiagramLab} 2.0.5: Headless Venn Diagram Analysis and Rendering

Updated Packages

🔍 Search on R-universe 🔍

{StepReg} 1.6.5: Stepwise Regression Analysis - diffify
{performance} 0.17.0: Assessment of Regression Models Performance - diffify
{ggpointless} 0.3.0: Extra Geometries and Stats for ‘ggplot2’ - diffify
{rtpcr} 2.1.8: qPCR Data Analysis - diffify
{insight} 1.5.1: Easy Access to Model Information for Various Model Objects - diffify
{treestats} 1.70.11: Phylogenetic Tree Statistics - diffify
{openairmaps} 0.10.1: Create Maps of Air Pollution Data - diffify
{openair} 3.1.0: Tools for the Analysis of Air Pollution Data - diffify
{ggforestplotR} 0.2.0: Publication-Ready Forest Plots with ‘ggplot2’ - diffify
{changepointGA} 0.1.5: Changepoint Detection via Modified Genetic Algorithms - diffify

Videos and Podcasts

{width=”600”}

Gist & Cookbook

Shiny Apps

Introducing Toolbars: Supercharge your Cards and Inputs
{DrData} 0.2.0: Interactive Statistical Analysis and Machine Learning Platform

R Internationally

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

Grants & Funding

Datasets

Connect

Join the Data Science Learning Community

rtistry

How off the chart are current French temperatures ? Quite a lot. Simple #dataviz using daily national temperature index since 1950 with #Rstats and #ggplot #climate

[image or embed]
— Denis Mongin (@denismongin.bsky.social) 28 mai 2026 à 09:35

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

Quotes of the Week

R Weekly 2026-W22 Deploying Quarto, rfuns, muttest

2026-05-25T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Carroll, with help from the R Weekly team members and contributors.

Highlight

Insights

R in Academia

The Atlas-Learn Approach to the Manifold Hypothesis

Resources

Welcome to the New Home for Posit Open Source

New Packages

📦 Keep up to date wtih CRANberries 📦

curriculr: the case for a data-driven CV

CRAN

{ctrlvee} 0.1.0: Extract External R Code and Insert Inline
{tsitter} 0.1.0: Tree-Sitter Parsing Tools
{REDCapSync} 0.1.0: Encapsulated ‘REDCap’ Projects for Synchronized Data Pipelines
{quaqcr} 1.0.4: Quick ATAC-Seq QC
{grumpy} 0.1.1: Read ‘NumPy’ ‘.npy’ and ‘.npz’ Files
{surveytidy} 0.6.0: Tidy ‘dplyr’/’tidyr’ Verbs for Survey Design Objects
{llrem} 0.1.1: LLM Relational Event Models
{gedi2} 2.3.4: Gene Expression Decomposition and Integration
{bolder} 0.1.1: ‘RStudio’ Add-Ins for Formatted Section Titles

GitHub or Bitbucket or GitLab

ggchord2: Chord diagrams for ‘ggplot2’
ctrlvee: Extract External R Code and Insert Inline

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.3.1: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs + diffify
{printify} 1.0.1: Custom Formatted Console Messages With Timing Support + diffify
nanotime 0.3.15 on CRAN: Coping
{nanotime} 0.3.15: Nanosecond-Resolution Time Support for R - diffify
New release of mapsf: version 1.2.0
muttest 0.2.0: More Mutators, Better Reporting, and Parallel Execution
{shinyOAuth} 0.5.0: Provider-Agnostic OAuth Authentication for ‘shiny’ Applications - diffify
{RSQLite} 3.53.1: SQLite Interface for R - diffify
{filearray} 0.2.2: File-Backed Array for Out-of-Memory Computation - diffify
{Compositional} 8.2: Compositional Data Analysis - diffify
{bigassertr} 0.2.0: Assertion and Message Functions - diffify
{harbinger} 2.0.757: A Unified Time Series Event Detection Framework - diffify
{daltoolboxdp} 1.3.747: Deep Python Extensions for ‘daltoolbox’ - diffify
{parglm} 0.1.10: Parallel GLM - diffify
{mathml} 1.8: Translate R Expressions to ‘MathML’ and ‘LaTeX’/’MathJax’ - diffify
{doFuture} 1.2.2: Use Foreach to Parallelize via the Future Framework - diffify
{bonsai} 0.4.1: Model Wrappers for Tree-Based Models - diffify
{tidyclust} 0.3.0: A Common API to Clustering - diffify
{logging} 0.10-111: R Logging Package - diffify
{LLMR} 0.6.4: Interface for Large Language Model APIs in R - diffify
{ROpenCVLite} 4.130.0: Helper Package for Installing ‘OpenCV’ - diffify
{tufte} 0.15.0: Tufte’s Styles for R Markdown Documents - diffify
{hanyupinyin} 0.1.3: Convert Chinese Characters into Hanyu Pinyin - diffify
{admiralonco} 1.4.1: Oncology Extension Package for ADaM in ‘R’ Asset Library - diffify
{ISwR} 2.0-12: Introductory Statistics with R - diffify
{plotbb} 0.1.2: Grammar of Graphics for ‘base’ Plot - diffify
{maestro} 1.1.1: Orchestration of Data Pipelines - diffify
{r.proxy} 0.1.4: Set Proxy in R Console - diffify
{gtfsio} 1.2.1: Read and Write General Transit Feed Specification (GTFS) Files - diffify
{brickster} 0.2.13: R Toolkit for ‘Databricks’ - diffify
{armadillo4r} 0.9.0: An ‘Armadillo’ Interface - diffify
{vismeteor} 3.0.1: Analysis of Visual Meteor Data - diffify
{tidypopgen} 0.4.4: Tidy Population Genetics - diffify
{tidylearn} 0.3.1: A Unified Tidy Interface to R’s Machine Learning Ecosystem - diffify
{bit64} 4.8.2: A S3 Class for Vectors of 64bit Integers - diffify
{rixpress} 0.12.3: Build Reproducible Analytical Pipelines with ‘Nix’ - diffify
{collapse} 2.1.7: Advanced and Fast Data Transformation - diffify
{h5lite} 2.1.1.1: Simplified ‘HDF5’ Interface - diffify
{ClickHouseHTTP} 1.0.0: A Simple HTTP Database Interface to ‘ClickHouse’ - diffify

Videos and Podcasts

R Internationally

Rtomic LLM: Train a JEPA LLM with Chain-of-Thought for ~$0.5

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Free summer introductory data science class for high school students, now in its 6th year! Makes extensive use of AI.
A list of R conferences and meetings
This week’s local R-User and applied stats events
Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @FJavierRubio@mastodon.social

View on Mastodon

Post by @noamross@ecoevo.social

View on Mastodon

R Weekly 2026-W21 15 Years of rOpenSci, Durations of wars, and R-squared

2026-05-18T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by , with help from the R Weekly team members and contributors.

Highlight

Insights

15 Years of rOpenSci, and We’re Just Getting Started 🎉

R in the Real World

Durations of wars by @ellis2013nz

R in Organizations

Tutorials

Learning Data Science: Why a High R^2 Can Be Misleading

Testing Legacy Shiny Apps: Start with Behavior, Not Code

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{OLSengine} 1.0.0: Transparent and Assisted Linear Modeling Engine
{aieconindex} 0.1.0: Access the ‘Anthropic Economic Index’ Dataset
{html2pdfR} 0.1.0: Convert Local ‘HTML’ and ‘XHTML’ Files to ‘PDF’
{boids4R} 0.3.1: Reynolds-Style Boids and Swarm Simulation
{shewhartr} 1.3.0: Statistical Process Control with Tidyverse-Native Workflows
{drogonR} 0.1.6: High-Performance HTTP Server for R via ‘Drogon’
{CircularBoxplots} 0.1.2: Grouped Boxplots for Circular Data
{tscv} 1.0.0: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation
{curriculr} 0.3.0: Data-Driven CVs with ‘Quarto’ and ‘Typst’
{nativeORT} 0.1.2: Native ‘R’ ‘ONNX’ Runtime
{certify} 0.1.0: Generate Branded PDF Certificates
{easytable} 2.1.1: Create Multi-Format Regression Tables
{terralink} 1.8.0: Connectivity Corridor Optimization for Raster and Vector Data
{gcomputation} 0.34: Causal Inference by using G-Computation
{combss} 0.1.0: Continuous Optimisation Towards Best Subset Selection
{cgvR} 0.1.2: Interactive 3D Visualization of Large Cayley Graphs via Vulkan
{TidyPanel} 0.1.2: Universal Messy Panel Data Cleaner
{imv} 0.3: Model Comparison via the ‘InterModel Vigorish’ (‘IMV’)
{curves} 0.4.0: Model-Agnostic Response Curves for Fitted Models
{rvtk} 0.1.3: Bindings for the Visualization Toolkit (‘VTK’)

Updated Packages

🔍 Search on R-universe 🔍

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

R Weekly 2026-W20 S at 50, targets vs dbt

2026-05-11T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

Insights

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

▸ Statistics & Modelling

{mlmodels} 0.1.2: Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing
{topcc} 1.2: Topological Correlation Coefficient
{mGSFPCA} 0.2.2: Estimate Functional Principal Components from Sparse Data
{rocTools} 0.1.3: Tools for Distribution-Based ROC Smoothing Using 'pROC'
{RMeDPower2} 1.0.1: Design and Modeling for Repeated Measures Studies
{CanonicalFamilyExtra} 1.0.0: Extra Canonical Link Family Objects for Generalized Linear Models
{survdt} 0.9.0: Improved Methods for Survival Analysis under Double Truncation
{OSCARS} 0.1.2: Global Bounded Optimization by the OSCARS-II Algorithm
{MFRCD} 0.1.0: Optimal Row-Column Designs for Asymmetrical Factorial Experiments
{discoCVI} 0.1.1: Implementation of the DISCO Metric for Internal Clustering Evaluation
{dcce} 0.4.2: Dynamic Common Correlated Effects Estimation for Panel Data
{rocvb} 0.1.0: ROC-Based Inference for Diagnostic Accuracy Under Verification Bias
{logStirling2} 0.2.0: Fast Stirling Numbers of the Second Kind
{statease} 1.0.0: Simplified Statistical Analysis with Plain-English Interpretation
{fcmfd} 0.1.0: Fuzzy C-Means for Fuzzy Data
{SmoothPLS} 0.1.5: Partial Least-Squares Algorithm for Categorical and Scalar Functional Data
{DiversityStats} 0.1.0: Diversity Indices with Statistical Inference
{KMT} 1.0.0: Khmaladze Martingale Transformation Goodness-of-Fit Test
{cosmic} 0.5: Conditional Ordinal Stereotype Model for Incident-Level Comparison
{paneltests} 1.0.5: Panel Data Pre-Testing and Diagnostic Suite

▸ Bayesian Methods

{glmbayes} 0.9.3: Bayesian Generalized Linear Models (IID Samples)
{ErrorTracer} 1.0.2: Bayesian Error Propagation and Forecast Uncertainty Decomposition

▸ Machine Learning, AI & LLMs

{XGeoRTR} 0.7.0: Backend-Neutral Explainable Geometry State and Operators
{rlmstudio} 0.2.2: Access and Control LM Studio
{pensar} 0.4.2: LLM Wiki Engine
{corteza} 0.6.3: AI Agent Runtime
{rtemis.llm} 0.8.1: Large Language Models and Agentic AI

▸ Causal Inference

{ipeval} 0.1.0: Evaluation of Interventional Predictions
{NonlinearDiD} 0.1.0: Staggered Difference-in-Differences with Nonlinear Outcomes
{rdstagger} 0.1.0: Staggered Regression Discontinuity with Network Interference

▸ Time Series & Forecasting

{forecastADAPT} 0.1.0: Computation of Adaptive Forecast
{DPQBootstrap} 0.1.1: Dirichlet Quantile Bootstrap for Time Series

▸ Spatial & Geospatial

{toro} 0.1.0: Interactive & Customisable Maps using the 'MapLibre GL JS' Library
{mwmapdata} 1.0.0: Spatial Boundary Data for Malawi Administrative Levels
{precviasBR} 0.1.0: Spatial Data of Road Precariousness in Brazil

▸ Visualization & Graphics

{int3ract} 1.0.7: Plotting Two- and Three-Way Interactions
{ggWebGL} 0.4.0: Browser-Native 'WebGL' Rendering for R Graphics
{DT2} 0.1.1: 'DataTables' 2.x for R

▸ Health, Bioinformatics & Pharma

{wrictools} 1.0.1: Analyze Whole Room Indirect Calorimetry (WRIC) Data
{amp.sim} 0.1.0: Flexible Simulation Utilities for Pharmacometric Modeling
{reems} 0.1.0: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data
{rgsrs} 0.1.0: Query the FDA Global Substance Registration System (GSRS) API
{mSigPlot} 2.0.38: Plotting Mutational Signatures and Mutational Spectra
{BRCore} 2.0.4: Unified Framework for Identification and Ecological Interpretation of Microbial Data from Bioenergy Research Centers
{PatientGenerator} 0.1.4: Generator of Synthetic Patient Data for the OMOP Common Data Model
{DANDELION} 0.1.0: Discovery of Candidate Disease Genes Using Trans-Regulatory Effects
{LOCOM2} 1.0: A Logistic Regression Model for Testing Microbial Differential Abundance
{heattree} 0.3.1: A Self-Contained Widget for Interactive Phylogenetic Tree Visualization
{datasusr} 0.1.0: Fast Access to Brazilian Public Health Data from 'DATASUS'

▸ Ecology, Environment & Agriculture

{fb4package} 2.0.0: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend
{emln} 1.1.0: Organize, Handle, and Explore Ecological Multilayer Networks

▸ Finance & Economics

{contagionchannels} 0.1.3: Two-Stage Detection and Attribution of Cross-Border Financial Contagion Channels
{qgarch} 0.1.0: Quadratic GARCH-in-Mean Models for Volatility Feedback
{ibkrcp} 0.1.1: R Client for the Interactive Brokers Client Portal API

▸ Survey, Psychometrics & Social Science

{surveysearch} 0.1.0: Search and Examine Variables Across Survey Datasets
{arkhaia} 0.5.5: Archaeological and Historical Analysis
{surveycore} 0.8.3: Core Survey Analysis Infrastructure
{delaydiscount} 0.0.1: Fit Linearized Hyperbolic Model for Delay Discounting Curves

▸ Data Access, APIs & Datasets

{datazoom.social} 0.1.0: Simplify Access to Brazilian Social Data
{CepalStatR} 0.9.0: Access to the 'CEPALSTAT API'
{tesouror} 0.2.2: Access Brazilian National Treasury Open Data APIs
{vegetablesSriLanka} 1.1.0: Daily Vegetable Prices of Sri Lanka
{metrosp} 1.0.0: 'São Paulo' Metro Passenger Demand Data
{ihsMW} 0.1.5: Access 'Malawi Integrated Household Survey' Data

▸ Reporting & Documentation

{gridmicrotex} 0.0.1: Native 'LaTeX' Math Rendering for Grid Graphics

▸ Utilities & Developer Tools

{solidauthr} 0.1.2: Solid OIDC Client Credentials Authentication
{s7contract} 0.1.0: 'Go'-Like Interfaces and 'Rust'-Like Traits with 'S7'
{dbProject} 0.1.0: Database Connection Management and Utilities for 'dbverse'
{ViewR} 1.0.0: Interactive Data Viewer, Filter, and Editor
{DataDNA} 0.1.0: Data Frame Fingerprints and Lineage Figures
{manifesto} 0.0.2: Create Project Manifest Files

Updated Packages

🔍 Search on R-universe 🔍

▸ Statistics & Modelling

{BAMBI} 2.3.7: Bivariate Angular Mixture Models - diffify
{geommc} 1.3.2: Geometric Markov Chain Sampling - diffify
{DyadRatios} 2.0: Dyad Ratios Algorithm for Latent Variable Estimation - diffify
{funHDDC} 2.3.1.1: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces - diffify
{fastei} 0.0.16: Methods for ''A Fast Alternative for the R x C Ecological Inference Case'' - diffify
{coda.base} 1.0.6: A Basic Set of Functions for Compositional Data Analysis - diffify
{cicalc} 0.2.1: Calculate Confidence Intervals - diffify
{lgspline} 1.1.0: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation - diffify
{PGaovR} 0.1.1: Analysis of Experimental Data using ANOVA and Mean Comparison - diffify
{distfreereg} 1.2: Distribution-Free Goodness-of-Fit Testing for Regression - diffify
{savvyGLM} 0.1.4: Generalized Linear Models with Slab and Shrinkage Estimators - diffify
{CatPredi} 2.0: Optimal Categorisation of Continuous Variables in Prediction Models - diffify
{automatedRecLin} 1.1.0: Record Linkage Based on an Entropy-Maximizing Classifier - diffify
{geessbin} 1.0.2: Modified Generalized Estimating Equations for Binary Outcome - diffify
{REndo} 2.5.0: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables - diffify
{MCPAN} 1.1-22: Multiple Comparisons Using Normal Approximation - diffify
{cpfa} 1.2-9: Classification with Parallel Factor Analysis - diffify
{adelie} 1.0.9: Group Lasso and Elastic Net Solver for Generalized Linear Models - diffify
{CoSMoS} 2.2.0: Complete Stochastic Modelling Solution - diffify
{vntrs} 0.2.1: Variable Neighborhood Trust Region Search - diffify
{collinear} 3.0.1: Automated Multicollinearity Management - diffify
{MVar.pt} 2.2.9: Analise multivariada (brazilian portuguese) - diffify
{MVar} 2.2.9: Multivariate Analysis - diffify
{lfebd3} 0.2.0: Generation and Analysis of 3-Level and 5-Level Factorial Block Designs - diffify
{graphpcor} 0.1.25: Models for Correlation Matrices Based on Graphs - diffify
{fdasrvf} 2.4.4: Elastic Functional Data Analysis - diffify
{ameras} 0.3.0: Analyze Multiple Exposure Realizations in Association Studies - diffify
{mwTensor} 1.2.2: Multi-Way Component Analysis - diffify
{blindrecalc} 1.1.1: Blinded Sample Size Recalculation - diffify
{sprtt} 0.3.1: Sequential Probability Ratio Tests Toolbox - diffify
{GRIDCOPULA} 1.1.1: Bivariate Copula Functions Based on Regular Grid - diffify
{Spower} 0.6.2: Power Analyses using Monte Carlo Simulations - diffify
{fastglm} 0.1.0: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen' - diffify
{VetResearchLMM} 1.1.0: Linear Mixed Models - An Introduction with Applications in Veterinary Research - diffify
{mdscore} 0.1-4: Improved Score Tests for Generalized Linear Models - diffify
{dress.graph} 0.8.3: DRESS - A Continuous Framework for Structural Graph Refinement - diffify
{weird} 2.1.0: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman - diffify
{MortalityLaws} 2.2.0: Parametric Mortality Models, Life Tables and HMD - diffify
{RNAmf} 1.1.4: Recursive Non-Additive Emulator for Multi-Fidelity Data - diffify
{kdensity} 1.2.0: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels - diffify

▸ Bayesian Methods

{coalitions} 0.6.27: Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies - diffify
{BayesPIM} 1.0.1: Bayesian Prevalence-Incidence Mixture Model - diffify
{bfbin2arm} 0.1.2: Bayes Factor Design for Two-Arm Binomial Trials - diffify
{RoBMA} 4.0.0: Robust Bayesian Meta-Analyses - diffify
{RoBSA} 1.0.4: Robust Bayesian Survival Analysis - diffify
{wru} 3.1.0: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation - diffify
{BayesTools} 0.3.0: Tools for Bayesian Analyses - diffify

▸ Machine Learning, AI & LLMs

{BiplotML} 1.1.1: Logistic Biplot Estimation Using Machine Learning Algorithms - diffify
{iTensor} 1.0.4: ICA-Based Matrix/Tensor Decomposition - diffify
{nnTensor} 1.4.0: Non-Negative Tensor Decomposition - diffify
{SCE} 1.1.3: Stepwise Clustered Ensemble - diffify
{mafR} 1.1.14: Interface for Masked Autoregressive Flows - diffify
{ellmer} 0.4.1: Chat with Large Language Models - diffify
{daltoolboxdp} 1.2.767: Deep Python Extensions for 'daltoolbox' - diffify
{unifiedml} 0.3.0: Unified Interface for Machine Learning Models - diffify

▸ Causal Inference

{ATbounds} 0.1.1: Bounding Treatment Effects by Limited Information Pooling - diffify
{CERFIT} 0.2.0: Causal Effect Random Forest of Interaction Trees - diffify
{pensynth} 0.8.2: Penalized Synthetic Control Estimation - diffify
{lmtp} 1.5.4: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies - diffify
{caugi} 1.2.0: Causal Graph Interface - diffify
{polle} 1.6.3: Policy Learning - diffify
{CausalMixGPD} 0.8.0: Bayesian Nonparametric Conditional Density Modeling in Causal Inference and Clustering with a Heavy-Tail Extension - diffify

▸ Time Series & Forecasting

{harbinger} 2.0.707: A Unified Time Series Event Detection Framework - diffify
{IDetect} 0.1.1: Isolate-Detect Method for Multiple Change-Point Detection - diffify
{kimfilter} 2.0.0: Kim Filter - diffify
{focus} 0.1.5: Online Changepoint Detection in Univariate and Multivariate Data Streams - diffify

▸ Spatial & Geospatial

{geoAr} 1.2.2: Argentina's Spatial Data Toolbox - diffify
{RFmerge} 0.3-3: Merging of Satellite Datasets with Ground Observations using Random Forests - diffify
{geospatialsuite} 0.2.0: Comprehensive Geospatiotemporal Analysis and Multimodal Integration Toolkit - diffify
{SSIMmap} 0.4.0: The Structural Similarity Index Measure for Maps - diffify
{sf} 1.1-1: Simple Features for R - diffify
{MetricGraph} 1.6.0: Random Fields on Metric Graphs - diffify
{INLAspacetime} 0.1.14: Spatial and Spatio-Temporal Models using 'INLA' - diffify
{fields} 17.3: Tools for Spatial Data - diffify
{rgeopat2} 0.4.1: Additional Functions for 'GeoPAT' 2 - diffify
{spsurvey} 5.6.1: Spatial Sampling Design and Analysis - diffify

▸ Visualization & Graphics

{ggblanket} 20.0.0: Publication-Quality 'ggplot2' Visualisation - diffify

▸ Health, Bioinformatics & Pharma

{pharmaverseadamjnj} 0.0.5: J&J Innovative Medicine ADaM Test Data - diffify
{scCustomize} 3.3.0: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing - diffify
{spant} 4.0.0: MR Spectroscopy Analysis Tools - diffify
{SelfControlledCaseSeries} 6.1.5: Self-Controlled Case Series - diffify
{CohortMethod} 6.0.2: Comparative Cohort Method with Large Scale Propensity and Outcome Models - diffify
{episomer} 3.0.35: Early Detection of Public Health Threats from Social Media Data - diffify
{rbiom} 3.1.0: Integrated Analysis and Visualization of Microbiome Data - diffify
{espadon} 1.11.5: Easy Study of Patient DICOM Data in Oncology - diffify
{nmw} 0.3.0: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics - diffify
{Rduckhts} 1.2.1-0.1.0: 'DuckDB' High Throughput Sequencing File Formats Reader Extension - diffify
{pharmaversesdtmjnj} 0.0.4: J&J Innovative Medicine SDTM Test Data - diffify
{campsismod} 1.3.2: Generic Implementation of a PK/PD Model - diffify
{MKomics} 0.8: Omics Data Analysis - diffify
{mnirs} 0.6.3: Muscle Near-Infrared Spectroscopy Processing and Analysis - diffify
{promor} 0.2.3: Proteomics Data Analysis and Modeling Tools - diffify
{dcifer} 1.5.2: Genetic Relatedness Between Polyclonal Infections - diffify
{cgmguru} 0.2.0: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend - diffify
{MorphSim} 1.2.0: Simulate Discrete Character Data along Phylogenetic Trees - diffify
{CohortCharacteristics} 1.1.3: Summarise and Visualise Characteristics of Patients in the OMOP CDM - diffify
{taxodist} 0.3.0: Taxonomic Distance and Phylogenetic Lineage Computation - diffify
{LFApp} 1.4.2: Shiny Apps for Lateral Flow Assays - diffify
{scoper} 1.5.0: Spectral Clustering-Based Method for Identifying B Cell Clones - diffify
{UCSCXenaShiny} 2.2.1: Interactive Analysis of UCSC Xena Data - diffify
{statgenIBD} 1.0.11: Calculation of IBD Probabilities - diffify
{htrSPRanalysis} 0.1.2: Analysis of Surface Plasmon Resonance Data - diffify
{BEACH} 1.3.2: Biometric Exploratory Analysis Creation House - diffify
{medicalcoder} 0.8.1: A Unified and Longitudinally Aware Framework for ICD-Based Comorbidity Assessment - diffify
{qtl2} 0.40: Quantitative Trait Locus Mapping in Experimental Crosses - diffify

▸ Ecology, Environment & Agriculture

{fastbioclim} 0.4.2: Scalable and Flexible Derivation of Custom-Time Bioclimatic and Environmental Summary Variables - diffify
{meteoland} 2.2.7: Landscape Meteorology Tools - diffify
{icecdr} 1.2.0: Download Sea Ice Concentration Data from the NSIDC Climate Data Record - diffify
{wallace} 2.2.1: A Modular Platform for Reproducible Modeling of Species Niches and Distributions - diffify
{aelab} 1.1.3: Data Processing for Aquatic Ecology - diffify
{AntClassify} 0.2.1: Functional Guilds, Invasion Status, Endemism, and Rarity of Ants - diffify
{medfateland} 3.0.0: Mediterranean Landscape Simulation - diffify
{divent} 0.5-4: Entropy Partitioning to Measure Diversity - diffify
{medfate} 5.0.0: Mediterranean Forest Simulation - diffify
{rapsimng} 0.5.0: APSIM Next Generation - diffify
{sorcering} 1.2.3: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework - diffify
{FD} 1.0-12.5: Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology - diffify
{wxgenR} 1.4.5: A Stochastic Weather Generator with Seasonality - diffify
{sharpshootR} 2.5: A Soil Survey Toolkit - diffify

▸ Finance & Economics

{rsmatrix} 0.2.10: Matrices for Repeat-Sales Price Indexes - diffify
{greeks} 1.5.3: Sensitivities of Prices of Financial Options and Implied Volatilities - diffify
{piar} 0.9.0: Price Index Aggregation - diffify
{fHMM} 1.4.3: Fitting Hidden Markov Models to Financial Data - diffify

▸ Survey, Psychometrics & Social Science

{kollaR} 1.1.4: Event Classification, Visualization and Analysis of Eye Tracking Data - diffify
{ananke} 0.2.0: Quantitative Chronology in Archaeology - diffify
{openesm} 0.2.0: Access the Open Experience Sampling Method Database - diffify
{ShortForm} 0.5.8: Automatic Short Form Creation - diffify
{BoundIRT} 0.5.0: Fit Bounded Continuous Item Response Theory Models to Data - diffify
{irtsim} 0.1.2: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory - diffify
{psychTools} 2.6.4: Tools to Accompany the 'psych' Package for Psychological Research - diffify
{ThurMod} 1.1.20: Thurstonian CFA and Thurstonian IRT Modeling - diffify

▸ Text Analysis & Linguistics

{oolong} 0.7.0: Create Validation Tests for Automated Content Analysis - diffify
{iotarelr} 0.1.9: Iota Inter Coder Reliability for Content Analysis - diffify
{textreuse} 1.0.1: Detect Text Reuse and Document Similarity - diffify
{sumer} 1.6.0: Sumerian Cuneiform Text Analysis - diffify
{tidystringdist} 0.1.6: String Distance Calculation with Tidy Data Principles - diffify
{rainette} 0.3.3: The Reinert Method for Textual Data Clustering - diffify

▸ Data Access, APIs & Datasets

{subincomeR} 0.5.0: Access to Global Sub-National Income Data - diffify
{ggversa} 0.1.1: Conjuntos de Datos para 'Graficas Versatiles con ggplot2' - diffify
{medrxivr} 0.1.3: Access and Search MedRxiv and BioRxiv Preprint Data - diffify
{ColombiAPI} 0.3.2: Access Colombian Data via APIs and Curated Datasets - diffify
{redatamx} 1.3.0: R Interface to 'Redatam' Library - diffify
{rbiodatacr} 0.1.1: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica - diffify
{fds} 1.9: Functional Data Sets - diffify
{pubmedR} 1.0.2: Gathering Metadata About Publications, Grants, Clinical Trials from 'PubMed' Database - diffify

▸ Reporting & Documentation

{iheiddown} 0.9.9: For Writing Geneva Graduate Institute Documents - diffify
{summata} 0.11.5: Publication-Ready Summary Tables and Forest Plots - diffify
{examly} 0.3: Statistical Metrics and Reporting Tool - diffify
{tsg} 0.1.4: Generate Publication-Ready Statistical Tables - diffify
{exams2forms} 0.2-1: Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents - diffify

▸ Utilities & Developer Tools

{S7schema} 0.1.0: 'S7' Framework for Schema-Validated YAML Configuration - diffify
{watcher} 0.1.6: Watch the File System for Changes - diffify
{resultcheck} 0.2.1: Result Stability Checks for Empirical R Projects - diffify
{mirai} 2.7.0: Minimalist Async Evaluation Framework for R - diffify
{vectra} 0.6.2: Columnar Query Engine for Larger-than-RAM Data - diffify
{ghclass} 0.4.0: Tools for Managing Classes on GitHub - diffify
{md4r} 0.5.3.0: Markdown Parser Implemented using the 'MD4C' Library - diffify
{MKmisc} 2.0: Miscellaneous Functions from M. Kohl - diffify
{ronfig} 0.0.10: Load Configuration Values - diffify
{Deducer} 0.9-2: A Data Analysis GUI for R - diffify
{cpp11} 0.5.5: A C++11 Interface for R's C Interface - diffify
{mgsub} 2.0.0: Safe, Multiple, Simultaneous String Substitution - diffify
{MazamaCoreUtils} 0.6.2: Utility Functions for Production R Code - diffify
{data.table} 1.18.4: Extension of `data.frame` - diffify
{tdigest} 0.4.3: Wicked Fast, Accurate Quantiles Using t-Digests - diffify
{overviewR} 0.0.14: Easily Extracting Information About Your Data - diffify
{operators} 0.2.0: Additional Binary Operators - diffify
{memshare} 1.1.1: Shared Memory Multithreading - diffify
{azr} 0.3.3: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services' - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

We are pleased to announce that Mikael Jagan has joined the R Core Team. #RStats He has been an active contributor to the R project for several years, proposing bug fixes and enhancements. Further, he has been co-authoring/maintaining the important Matrix package and more recently lme4 and glmmTMB.
— The R Foundation (@r-foundation.bsky.social) 7 May 2026 at 12:28

Call for Participation

New Mentoring Team with Experienced Mentors and New Voices

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

Speaking of crazy d values, this reminds me of this feature I was thinking about adding to the forest() function in metafor. #Rstats #MetaAnalysis

[image or embed]
— Wolfgang Viechtbauer (@wviechtb.bsky.social) 7 May 2026 at 09:31

R Weekly 2026-W19 Shiny webAwesome, ggplot2 tricks, knitr

2026-05-04T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

Insights

Exploring and Learning Quantum Computing Part 1

R in the Real World

R in Organizations

Notes on determining which CRAN packages need a rebuild

R in Academia

You Don’t Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis

Tutorials

Named Entity Recognition in R with reticulate and transformers - A practical tutorial showing how to run named entity recognition in R by connecting to Python models through reticulate.
Little useless-useful R functions – Desk plant simulator
Understanding R’s describe() Function: A Complete Guide to Summary Statistics
Understanding Statistical Coefficients: From Regression to Variation
Producing Systematic Literature Reviews with Bibliometrix R and Biblioshiny

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{shiny.webawesome} 1.0.0: A complete and ergonomic interface to the Web Awesome component library for R/Shiny users
grouper: An R package for Optimal Group Assignment
{shinyseo} 0.1.0: Search Engine Optimization and Social Metadata Helpers for ‘Shiny’ Apps
{deckroadmap} 0.1.4: Automated Roadmap Footers for Quarto and R Markdown Reveal.js Slides
{opencis} 0.1.0: Import Data from Spanish Sociological Research Center (CIS)
{EasyStat} 2.0.0: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting Measures in Reliability
{mrtsSphere} 0.1.2: Multi-Resolution Thin-Plate Splines on the Sphere
{MCseqReplic} 1.0.0: Monte Carlo Simulations of Time Changes in Sequences
{llmcoder} 1.0.0: LLM-Powered Code Generation and Error Fixing for ‘RStudio’
{lapop} 2.1.5: Processing, Visualizing, and Labeling Americas Barometer Data
{jgd} 0.1.0: JSON Graphics Device
{hatsurvey} 1.1.1: Survey Indicator Estimation for Complex Survey Designs
{encharter} 0.9: Enhanced Office Open XML Charting for ‘openxlsx2’
{shorm} 0.1.3: Detect the Shape of Dose-Response Curves
{arcopt} 0.3.0: Adaptive Regularization using Cubics for Optimization
{rgbIndices} 0.1.1: RGB Visible Indices for Image Analysis
{fahb} 1.0.0: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
{ineptr2} 0.3.1: Wrapper for Statistics Portugal API
{Immutables} 1.0.1: Fast and Functional Data Structures
{CharAnalysis} 2.0.2: Peak Detection and Fire History from Sediment-Charcoal Records
{RMSTpowerBoost} 1.0.3: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials
{OmopStudyBuilder} 0.1.0: Build Reproducible Network Studies for OMOP Common Data Model
{okxr} 0.2.4: R Interface to the ‘OKX’ REST API
{matchpointR} 0.1.0: Tidy Access to Women’s Tennis Association (WTA) Data
{irpfR} 0.1.1: Access to the Great Numbers of Brazilian Individual Income Tax (IRPF)
{greenbook} 0.1.0: HM Treasury Green Book Cost-Benefit Analysis Primitives
{cppally} 0.1.0: A ‘C++20’ API for R
{bedrockbio} 1.3.0: Open-Access Computational Biology Datasets
{weatherStats} 0.1: Airport Weather Station Statistics
{vasicekfit} 0.1.0: Extended Vasicek Credit Loss Model with Macroeconomic Factors
{nestable} 0.1.0: Collapsible ‘HTML’ Tables from Hierarchical Data
{mortar} 0.4.0: Standardize Data Science Workflows
{cer} 0.1.0: Download and Tidy Australian Clean Energy Regulator Data
{autotestR} 1.2.15: Automated Functions for Basic Statistical Tests
{ato} 0.1.0: Download and Tidy Australian Taxation Office Data
{abba} 0.2.0: Batch Execution of R Programs on ‘Kubernetes’, ‘SLURM’, and ‘Posit Workbench’
{routing} 1.0.0: ‘Express.js’ Like Routing for R Web Frameworks
{keylist} 1.0.0: Lightweight List Extensions that Enforce Unique Keys
{FrailtyCompRisk} 0.1.1: Competing Risks Models for Multi-Center Survival Data with Frailty
{documentosbr} 0.1.8: Validate Brazilian Administrative Registers - Valida Documentos

Bioconductor

GitHub or Bitbucket

GitHub

Updated Packages

🔍 Search on R-universe 🔍

binb 0.0.8 on CRAN: Maintenance
RProtoBuf 0.4.27 on CRAN: Upstream Adjustment
{torchvision} 0.9.0: Image loading, transformations, common architectures, pre-trained weights and commonly used datasets for computer vision with ‘torch’ - diffify
{crs} 0.15-42: Categorical Regression Splines - diffify
{spCF} 0.1.1: Coarse-to-Fine Spatial Modeling - diffify
{roxygen2} 8.0.0: In-Line Documentation for R - diffify
{pequod} 0.2.0: Colour Palette for Reading and Code, Inspired by Moby-Dick - diffify
{GxEScanR} 3.0.0: Run GWAS/GWEIS Scans Using Binary Dosage Files - diffify
{terminalgraphics} 0.3.0: Graphical Output in Terminals - diffify
{lfproQC} 1.4.2: Quality Control for Label-Free Proteomics Expression Data - diffify
{binb} 0.0.8: ‘binb’ is not ‘Beamer’ - diffify
{autograph} 1.0.3: Automatic Plotting and Theming of Many Graphs - diffify
{midr} 0.6.1: Learning from Black-Box Models by Maximum Interpretation Decomposition - diffify
{inlabru} 2.14.1: Bayesian Latent Gaussian Modelling using INLA and Extensions - diffify
{bplsr} 1.0.5: Bayesian partial least squares regression - diffify
{TestGenerator} 0.7.0: Integration Unit Tests for Pharmacoepidemiological Studies - diffify
{test.assessr} 2.1.0: Assessing Package Test Reliability and Quality - diffify
{qtl2convert} 0.32: Convert Data among QTL Mapping Packages - diffify
{pam} 2.2.1: Fast and Efficient Processing of PAM Data - diffify
{xxdi} 1.26.4: An R Package for Evaluating Expertise Indices for Research Strength Assessment - diffify
{tidyllm} 0.5.0: Tidy Integration of Large Language Models - diffify
{rfm} 0.4.0: Recency, Frequency and Monetary Value Analysis - diffify
{pqrBayes} 1.2.2: Bayesian Penalized Quantile Regression - diffify
{devtools} 2.5.2: Tools to Make Developing R Packages Easier - diffify
{brainGraph} 3.1.2: Graph Theory Analysis of Brain MRI Data - diffify
{fabletools} 0.7.0: Core Tools for Packages in the ‘fable’ Framework - diffify
{EFAtools} 0.7.0: Fast and Flexible Implementations of Exploratory Factor Analysis Tools - diffify
{saros} 1.6.2: Semi-Automatic Reporting of Ordinary Surveys - diffify
{ocs4R} 0.3.1: Interface to Open Collaboration Services (OCS) REST API - diffify
{connectapi} 0.12.1: Utilities for Interacting with the ‘Posit Connect’ Server API - diffify
{BinaryDosage} 2.0.0: Creates, Merges, and Reads Binary Dosage Files - diffify
{rdocdump} 0.2.0: Dump ‘R’ Package Source, Documentation, and Vignettes into One File - diffify
{enrichwith} 0.5.0: Methods to Enrich R Objects with Extra Components - diffify
{blockr.dag} 0.1.2: A Directed Acyclic Graph Extension for ‘blockr’ - diffify
{brglm2} 1.1.0: Bias Reduction in Generalized Linear Models - diffify
{blockr.dock} 0.1.1: A Docking Layout Manager for ‘blockr’ - diffify
{glmmrBase} 1.4.0: Generalised Linear Mixed Models in R - diffify
{dtlg} 0.1.0: A Performance-Focused Package for Clinical Trial Tables - diffify
{infoelectoral} 1.0.3: Download Spanish Election Results - diffify
{discSurv} 2.5.1: Discrete Time Survival Analysis - diffify
{ggrefine} 0.3.0: Publication-Quality ‘ggplot2’ Themes - diffify
{survdnn} 0.7.6: Deep Neural Networks for Survival Analysis with R ‘torch’ - diffify
{FastGP} 1.3: Efficiently Using Gaussian Processes with Rcpp and RcppEigen - diffify
{ccar3} 0.1.1: Canonical Correlation Analysis via Reduced Rank Regression - diffify
{SCdeconR} 1.0.2: Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference - diffify
{baseverse} 0.1.4: Modern Base-R Functions - diffify
{stochtree} 0.4.2: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference - diffify
{vivainsights} 0.7.2: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify
{TriMatch} 1.0.2: Propensity Score Matching of Non-Binary Treatments - diffify
{wav} 0.2.0: Read and Write WAV Files - diffify
{blockr.core} 0.1.2: Graphical Web-Framework for Data Manipulation and Visualization - diffify
{LightLogR} 0.10.3: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters - diffify
{descr} 1.1.9: Descriptive Statistics - diffify
{metatools} 0.3.0: Enable the Use of ‘metacore’ to Help Create and Check Dataset - diffify
{luz} 0.5.2: Higher Level ‘API’ for ‘torch’ - diffify
{Rtinycc} 0.1.10: Builds the ‘TinyCC’ Command-Line Interface and Library for ‘C’ Scripting in ‘R’ - diffify
{toolero} 0.3.0: A Toolkit for Research Workflows - diffify
{getopt} 1.21.1: C-Like ‘getopt’ Behavior - diffify
{vecvec} 1.0.0: Construct Mixed Type Data Structures with Vectors of Vectors - diffify
{g6R} 0.6.0: Graph Visualisation Engine Widget for R and ‘shiny’ Apps - diffify
{DiagrammeR} 1.0.12: Graph/Network Visualization - diffify
{datefixR} 2.0.1: Standardize Dates in Different Formats or with Missing Data - diffify
{jmvReadWrite} 0.4.13: Read and Write ‘jamovi’ Files (‘.omv’) - diffify

Videos and Podcasts

Shiny Apps

R Internationally

R programming book in Greek language

R Project Updates

Updates from R Core:

Call for Participation

R/Pharma 2026 Call for Talks

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @aRtsy_package@mastodon.social

View on Mastodon

Quotes of the Week

Post by @coolbutuseless@fosstodon.org

View on Mastodon

R Weekly 2026-W18 logrittr, Working smarter, Generating universes

2026-04-27T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members and contributors.

Highlights

Insights

New York City Hexmaps

R in the Real World

A Data-Driven Survey of MLB Franchise Management

{width=”600”}

Stage II OSCC — Health Economics Model

R in Organizations

R in Academia

Tutorials

Resources

Working Smarter in R: Tips, Tricks & Real-World Lessons

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{mori} 0.1.0: Shared Memory for R Objects
{notionapi} 0.2.0: A comprehensive Notion API client for R with sync and async support
{lineagefreq} 0.2.0: Lineage Frequency Dynamics from Genomic Surveillance Counts
{survinger} 0.1.1: Design-Adjusted Inference for Pathogen Lineage Surveillance
{clinicalfair} 0.1.0: Algorithmic Fairness Assessment for Clinical Prediction Models
{syntheticdata} 0.1.0: Synthetic Clinical Data Generation and Privacy-Preserving Validation
{printify} 1.0.0: Custom Formatted Console Messages With Timing Support

GitHub

{mypaintr}: Plot R graphics like a human

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.3.0: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
{ggstatsplot} 1.0.0: ‘ggplot2’ Based Plots with Statistical Details - diffify
{statsExpressions} 2.0.0: Tidy Dataframes and Expressions with Statistical Details - diffify
{ggguides} 1.1.6: Simplified Legend and Guide Alignment for ‘ggplot2’ - diffify
{GitStats} 2.5.1: Standardized Git Repository Data - diffify
{vip} 0.4.6: Variable Importance Plots - diffify
{ggforestplotR} 0.1.1: Publication-Ready Forest Plots with ‘ggplot2’ - diffify
{SCIproj} 1.0.1: Creates a Scientific Project Skeleton as an R Package - diffify
{ggplot2} 4.0.3: Create Elegant Data Visualisations Using the Grammar of Graphics - diffify
{germinationmetrics} 0.1.10: Seed Germination Indices and Curve Fitting - diffify
{geneticae} 1.0.1: Statistical Tools for the Analysis of Multi Environment Agronomic Trials - diffify
{tidyprompt} 0.4.0: Prompt Large Language Models and Enhance Their Functionality - diffify
{eulerr} 7.1.0: Area-Proportional Euler and Venn Diagrams with Ellipses - diffify
{robustlmm} 3.4-3: Robust Linear Mixed Effects Models - diffify
{nanoparquet} 0.5.1: Read and Write ‘Parquet’ Files - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Grants & Funding

New Value: increasing cost of UKRI research grants

Connect

Join the Data Science Learning Community

rtistry

Catching up #dataviz for #30dayChartChallenge Day5 Experimental. Which flower attracts which pollinator? 🌸🐝🦋 Played around with data from the UK Pollinator Monitoring Scheme. For bees or any pollinator plant some lavender, for butterflies go with buddleja aka butterfly bush. Made in Svelte + D3

[image or embed]
— Lisa Hornung (@lisahornung.bsky.social) 21 avril 2026 à 11:04

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

Managed to find some time while travelling to do a little bit more work on this "generative streets" art system 🎨 #GenArtClub #GenerativeArt #RStats #ggplot2

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) 15 avril 2026 à 15:19

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

Quotes of the Week

dplyr::replace_when() and dplyr::recode_values() I am in you! The cognitive load and lines of code saved.... #rstats
— Jarrett Byrnes (@jebyrnes.bsky.social) 23 avril 2026 à 16:38

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

R Weekly 2026-W16 perspectiveR, puppeteeR

2026-04-13T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Forecasting the price of gas in the US with Brent Crude Oil

Tutorials

Stage II OSCC — Health Economics Model

Using R to Teach R: Lessons for Software Development
Web scraping dynamic websites with RSelenium - A practical tutorial on using RSelenium in R to extract content from pages that do not load cleanly with static scraping tools.
perspectiveR: Interactive Pivot Tables and Charts from R

Resources

Questions We Forget To Ask When Designing an RCT

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{perspectiveR} 0.3.0: Interactive Pivot Tables and Visualizations with ‘Perspective’
{countmaskr} 0.1.1: Small Cell Masking Tool for One- & Two-Way Tabular Reports
{akin} 0.1.4: Functional Utilities for Data Processing
{HHBayes} 0.1.1: Bayesian Household Transmission Modeling with ‘Stan’
{uuidx} 0.0.1: Modern UUIDs for R with a Rust Backend
{tidyactuarial} 0.1.1: Tidy Tools for Actuarial Mathematics and Life Contingencies
{survdistr} 0.0.3: Survival Distribution Container with Flexible Interpolation Methods
{circuitscaper} 0.1.0: ‘Circuitscape’ and ‘Omniscape’ Connectivity Analysis via ‘Julia’
{shinydataviewer} 0.1.0: Reusable Data Viewer Module for ‘shiny’
{midnight} 0.2.0: A ‘tidymodels’ Engine and Other Extensions for the ‘midr’ Package
{holideh} 0.1.0: Working with Canadian Dates
{standrecon} 0.1.0: Reconstruct Historical Forest Stand Conditions
{VizModules} 0.1.1: Flexible, Interactive ‘shiny’ Modules for Almost Any Plot
{sparqlr} 0.1.0: A SPARQL Client for R
{scholidonline} 0.1.0: Resolution, Conversion, Linking and Metadata for Scholarly Identifiers
{WHORiskCalculator} 1.0.0: WHO Cardiovascular Disease Risk Calculator and Visualization
{readelan} 0.1.0: Read ‘ELAN’ Files
{assemblykor} 0.1.1: Korean National Assembly Data for Political Science Education

GitHub or Bitbucket

puppeteeR - orchestrate multiple LLM agents into coordinated workflows

Updated Packages

🔍 Search on R-universe 🔍

{torch} 0.17.0: Tensors and Neural Networks with ‘GPU’ Acceleration - diffify
{SeuratObject} 5.4.0: Data Structures for Single Cell Data - diffify
{Rcmdr} 2.12.2: R Commander - diffify
{metacoder} 0.3.9: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data - diffify
{spicy} 0.8.0: Descriptive Statistics, Summary Tables, and Data Management Tools - diffify
{transreg} 1.0.6: Penalised Regression with Multiple Sets of Prior Effects (‘Transfer Learning’) - diffify
{tdarec} 0.2.1: A ‘recipes’ Extension for Persistent Homology and Its Vectorizations - diffify
{dataverifyr} 0.1.11: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data - diffify
{equatiomatic} 0.4.8: Transform Models into ‘LaTeX’ Equations - diffify
{shidashi} 0.2.0: A Shiny Dashboard Template Modular System with Chat Bot Support - diffify
{ggrounded} 0.1.0: Rounded Bar Plots - diffify
{ggpicrust2} 2.5.12: Make ‘PICRUSt2’ Output Analysis and Visualization Easier - diffify
{this.path} 2.8.0: Get Executing Script’s Path - diffify
{gecko} 1.0.3: Geographical Ecology and Conservation Knowledge Online - diffify
{colorRamp2} 0.1.1: Generate Color Mapping Functions - diffify
{rpanel} 1.1-6.3: Simple Interactive Controls for R using the ‘tcltk’ Package - diffify
{shinylive} 0.4.1: Run ‘shiny’ Applications in the Browser - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

We grow, learn, and adapt to new circumstances throughout our lives. Our relationships, careers, and personal beliefs are also subject to change. Please feel free to share your opinion in the comments section! Follow to stay updated! Credit: Heraclitus #Quotes #BlackSky #Heraclitus

[image or embed]
— Relaxing Music • Sleep Music 🎶 (@relax-sleep.bsky.social) April 13, 2026 at 9:59 PM

R Weekly 2026-W15 dataviewR difftastic R-universe

2026-04-06T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Colin Fay, with help from the R Weekly team members and contributors.

Highlight

Insights

Collaborating between Bioconductor and R-universe on Development of Common Infrastructure

R in the Real World

R in Organizations

Tutorials

Meet dataviewR: The View() You Always Wanted

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{zmctp} 0.1.0: Zero-Modified Complex ‘Tri-Parametric’ Pearson Distribution
{tulpaMesh} 0.1.1: Constrained Delaunay Triangulation Meshes for Spatial ‘SPDE’
{statAfrikR} 0.1.0: Statistical Tools for African National Statistics Institutes
{shard} 0.1.0: Deterministic, Zero-Copy Parallel Execution for R
{seroreconstruct} 1.1.5: Reconstructing Antibody Dynamics to Estimate the Risk of
{scip} 1.10.0-2: Interface to the SCIP Optimization Suite
{mlstm} 0.1.6: Multilevel Supervised Topic Models with Multiple Outcomes
{MAIHDA} 0.1.0: Multilevel Analysis of Individual Heterogeneity and
{csmbuilder} 0.1.0: A Collection of Tools for Building Cropping System Models
{birdcolors} 1.0.1: Create Palettes from the Colors of the World’s Birds
{balnet} 0.0.1: Pathwise Estimation of Covariate Balancing Propensity Scores
{lineagefreq} 0.2.0: Lineage Frequency Dynamics from Genomic Surveillance Counts
{syntheticdata} 0.1.0: Synthetic Clinical Data Generation and Privacy-Preserving
{survinger} 0.1.0: Design-Adjusted Inference for Pathogen Lineage Surveillance
{rjd3workspace} 3.7.1: Wrangling ‘JDemetra+ 3.x’ Workspace
{MyoScore} 1.0.1: Transcriptomic Scoring for Human Skeletal Muscle Health
{clinicalfair} 0.1.0: Algorithmic Fairness Assessment for Clinical Prediction Models
{pepdiff} 1.0.0: Differential Abundance Analysis for Phosphoproteomics Data
{baskoptr} 1.0.4: Utility-Based Optimization for Basket Trial Designs
{shinyreprex} 0.1.0: Reproducible Code for ‘Shiny’ Objects
{rescomp} 1.0.0: Efficient Modelling of Resource Competition
{refundBayes} 0.5: Bayesian Regression with Functional Data
{PhaseGMM} 0.1.0: Phase-Function Based Estimation and Inference for Linear
{dsge} 1.0.0: Dynamic Stochastic General Equilibrium Models
{stt.api} 0.2.1: ‘OpenAI’ Compatible Speech-to-Text API Client
{SingleArmMRCT} 0.1.1: Regional Consistency Probability for Single-Arm Multi-Regional
{likelihood.contr} 0.1.1: Likelihood Contribution Models for Heterogeneous Observation
{gghinton} 0.1.0: Hinton Diagrams for ‘ggplot2’
{taxdiv} 0.1.0: Taxonomic Diversity Indices Using Deng Entropy
{mtaOpenData} 0.1.0: Convenient Access to MTA Open Data API Endpoints
{gcpca} 0.0.1: Generalized Contrastive Principal Component Analysis
{EE.Data} 0.1.1: Objects for Predicting Energy Expenditure
{albersdown} 1.0.0: Minimalist Theme and Vignette Kit for ‘pkgdown’ and R Markdown
{AgriDiversiX} 0.1.0: Agricultural Crop Diversification Indices Analysis
{nysOpenData} 0.1.1: Convenient Access to NYS Open Data API Endpoints
{catviz} 0.1.1: Visualizing Causal Assignment Trees
{bigKNN} 0.3.0: Exact Search and Graph Construction for ‘bigmemory’ Matrices
{bigANNOY} 0.3.0: Approximate k-Nearest Neighbour Search for ‘bigmemory’ Matrices
{RDesk} 1.0.4: Native Desktop App Framework for ‘R’
{mmbcv} 0.3.0: Multistate Model Bias-Corrected Robust Variance

Bioconductor

GitHub or Bitbucket

Updated Packages

🔍 Search on R-universe 🔍

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Internationally

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

R Weekly 2026-W14 ggauto, alt text, scientific coffee

2026-03-30T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.

Highlight

Insights

R in the Real World

Tutorials

Resources

Little useless-useful R functions – Date Palindrome

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{rtemis} 1.0.0: Machine Learning and Visualization
{rcloner} 0.0.1: Interface to ‘rclone’ Cloud Storage Utility
{animejs} 0.1.0: R Bindings to the ‘Anime.js’ Animation Library
{ggauto} 0.0.1: Automatically Create and Style ‘ggplot2’ Charts
{reproresearchR} 0.1.1: Companion Package for ‘Reproducible Research Using R’
{ksformat} 0.3.5: ‘SAS’-Style ‘PROC FORMAT’ for R
{ggforestplotR} 0.1.0: Publication-Ready Forest Plots with ‘ggplot2’
{blends} 0.1.0: Blend Colour Palettes
{tabstats} 0.1.0: A Lightweight Toolkit for Displaying Customizable Tables
{subtools} 1.1.0: Read and Manipulate Video Subtitles
{stopmotion} 0.1.0: Build Stop Motion Animations from Image Sequences
{pizzarr} 0.1.1: Slice into ‘Zarr’ Arrays
{HeatmapR} 1.1.0: Create Heatmaps Using Base Graphics
{jlview} 0.1.0: Zero-Copy Julia to R Array Bridge via ALTREP
{YangHuiMagic} 1.1: A Generalization of Yang Hui’s Magic Squares
{theRefdate} 1.0.0: Simple and Fast Date Manipulation on Character Strings in Format ‘DD.MM.YYYY’

GitHub or Bitbucket

deckroadmap: Give your slides a sense of direction - An R package for adding PowerPoint-style roadmap footers to Quarto and R Markdown Reveal.js slides.
{ggtypst} 0.1.0: Render any rich text and high-quality math expressions in ggplot2 easily, powered by Typst. (on Reddit)
Ebbinghaus illusion Benchmark for LLMs: A flexible R & Python SDK for generating variants of the Ebbinghaus illusion. On top of the full source code, you will find in this repo links to a Kaggle notebook with free LLm examples, as well as a Shiny app to generate a reproducible dataset of Ebbinghaus illusion stimuli.

Updated Packages

🔍 Search on R-universe 🔍

{Unicode} 17.0.0-1: Unicode Data and Utilities - diffify
{vistime} 1.3.0: Pretty Timelines in R - diffify
{tinytex} 0.59: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents - diffify
{tinyplot} 0.6.1: Lightweight Extension of the Base R Graphics System - diffify
{swagger} 5.32.1: Dynamically Generates Documentation from a ‘Swagger’ Compliant API - diffify
{sourcetools} 0.1.7-2: Tools for Reading, Tokenizing and Parsing R Code - diffify
{RcppRoll} 0.3.2: Efficient Rolling / Windowed Operations - diffify
{nlme} 3.1-169: Linear and Nonlinear Mixed Effects Models - diffify
{letsRept} 1.1.1: An Interface to the Reptile Database - diffify
{bittermelon} 2.3.1: Bitmap Tools - diffify
{ggdiceplot} 1.2.0: DicePlot Visualization for ‘ggplot2’ - diffify
{shinyEditor} 1.0.0: ‘Ace’ and ‘Monaco’ Editors Bindings for ‘shiny’ Application - diffify
{LLMing} 1.2.1: Large Language Model (LLM) Tools for Psychological Text Analysis - diffify
{rpart} 4.1.27: Recursive Partitioning and Regression Trees - diffify
{vbracket} 1.4.0: Custom Legends with Statistical Comparison Brackets - diffify
{terra} 1.9-11: Spatial Data Analysis - diffify
{rmarkdown} 2.31: Dynamic Documents for R - diffify
{lessR} 4.5.3: Less Code with More Comprehensive Results - diffify
{tau} 0.0-28: Text Analysis Utilities - diffify
{sqlhelper} 0.2.2: Easier ‘SQL’ Integration - diffify
{mlbench} 2.1-8: Machine Learning Benchmark Problems - diffify
{synthesisr} 0.4.1: Import, Assemble, and Deduplicate Bibliographic Datasets - diffify
{rworkflows} 1.0.11: Test, Document, Containerise, and Deploy R Packages - diffify
{archivist} 2.3.9: Tools for Storing, Restoring and Searching for R Objects - diffify
{pkgdiff} 1.0.2: Identifies Package Differences - diffify
{ggautomap} 0.4.0: Create Maps from a Column of Place Names - diffify
{WhatIf} 1.5-11: Software for Evaluating Counterfactuals - diffify
{rollama} 0.3.0: Communicate with ‘Ollama’ to Run Large Language Models Locally - diffify
{arrow} 23.0.1.2: Integration to ‘Apache’ ‘Arrow’ - diffify
{rcheology} 4.5.3.0: Data on Base and Recommended Packages for Current and Previous Versions of R - diffify
{renv} 1.2.0: Project Environments - diffify
{gdalraster} 2.5.0: Bindings to ‘GDAL’ - diffify
{tuber} 1.4.0: Client for the YouTube API - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core

Updates from the R Contribution Working Group (RCWG):

R Dev Day @ Cascadia R Conf 2026, Portland, OR, USA, on Friday 26 July. Registration deadline Friday 12 June.
R Dev Day @ useR! 2026, Warsaw, Poland, on Friday 19 July. Application deadline Friday 24 April.
R Project Sprint 2026, Birmingham, UK, Tuesday 1 - Thursday 3 September. Application deadline Friday 8 May.

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @robinlovelace@fosstodon.org

View on Mastodon

Post by @GillesColling@fosstodon.org

View on Mastodon

Post by @tylermorganwall@fosstodon.org

View on Mastodon

R Weekly 2026-W13 What's new in dplyr, Atmospheric simulation

2026-03-23T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Kitt , with help from the R Weekly team members and contributors.

Highlight

Insights

{width=”400”}

R in the Real World

stats19 v4.0.0: 45 Years of UK Road Crash Data, Unified

R in Organizations

Tutorials

{width=”400”}

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{SCIproj} 1.0.0: Creates a Scientific Project Skeleton as an R Package
{unsurv} 0.5.0: Unsupervised Clustering of Individualized Survival Curves
{causalplot} 0.2.1: Create Publication-Ready Causal Diagrams
{MultiSpline} 0.1.1: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data
{marimekko} 0.1.0: Marimekko Plots for ‘ggplot2’
{essentialstools} 0.1.2: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
{jumble} 0.1.0: A Discrete Colour Palette
{dormancy} 0.1.0: Detection and Analysis of Dormant Patterns in Data

Updated Packages

🔍 Search on R-universe 🔍

{EpiForsk} 0.2.1: Code Sharing at the Department of Epidemiology Research at Statens Serum Institut - diffify
{misha} 5.6.6: Toolkit for Analysis of Genomic Data - diffify
{paar} 1.0.2: Precision Agriculture Data Analysis - diffify
{bolasso} 0.5.0: Model Consistent Lasso Estimation Through the Bootstrap - diffify
{ggpop} 1.7.1: Icon-Based Population Charts and Plots for ‘ggplot2’ - diffify
{sumvar} 0.2.0: Summarise and Explore Continuous, Categorical and Date Variables - diffify
{futurize} 0.2.0: Parallelize Common Functions via One Magic Function - diffify
{xgboost} 3.2.1.1: Extreme Gradient Boosting - diffify
{ggrepel} 0.9.8: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’ - diffify
{PublicationBiasBenchmark} 0.2.0: Benchmark for Publication Bias Correction Methods - diffify

Videos and Podcasts

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

{width=”400”}

Datasets

{readnoaa} 0.1.1: Access ‘NOAA’ Climate and Weather Data
{icecdr} 1.0.0: Download Sea Ice Concentration Data from the NSIDC Climate Data Record

{width=”400”}

Connect

Join the Data Science Learning Community

rtistry

You should try {targets}, they say... It will make your workflow more organised, they say... (joking aside, {targets} is an amazing package!!! I am super happy to be using it on my projects) #Rstats #targets`

<a href="https://bsky.app/profile/did:plc:n3imka5lhde6bsrecpf3jbyi/post/3mh654oriys2e?ref_src=embed"`{=html}[image or embed]</a>
— Ondrej Mottl 🌿💻📈🌍⏳ (`<a href="https://bsky.app/profile/did:plc:n3imka5lhde6bsrecpf3jbyi?ref_src=embed"`{=html}@ondrejmottl.bsky.social</a>) `<a href="https://bsky.app/profile/did:plc:n3imka5lhde6bsrecpf3jbyi/post/3mh654oriys2e?ref_src=embed"`{=html}16 mars 2026 à 10:23</a>

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

Quotes of the Week

Hmmm... The variable name needs more T's #rstats`

<a href="https://bsky.app/profile/did:plc:rsl6s6dvvb62lcgpgerqtau5/post/3mhg5eoahos2f?ref_src=embed"`{=html}[image or embed]</a>
— Peter Gray (`<a href="https://bsky.app/profile/did:plc:rsl6s6dvvb62lcgpgerqtau5?ref_src=embed"`{=html}@pgdataviz.bsky.social</a>) `<a href="https://bsky.app/profile/did:plc:rsl6s6dvvb62lcgpgerqtau5/post/3mhg5eoahos2f?ref_src=embed"`{=html}19 mars 2026 à 14:49</a>

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

R Weekly 2026-W12 Sharing across shiny modules, F1 data

2026-03-16T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Pacific island remittances by @ellis2013nz

R in Organizations

R in Academia

Addressing a Decade-Old ‘Continental Fallacy’ in Spatial Econometrics

Tutorials

Resources

QuickStats: WebR-powered browser-based statistical analysis tool.

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{obr} 0.2.2: Access Office for Budget Responsibility Data
{decisionpaths} 0.1.0: Construct and Audit Longitudinal Decision Paths
{brightspaceR} 0.1.0: Access D2L ‘Brightspace’ Data Sets via the ‘BDS’ API
{stacr} 0.1.0: Tidy ‘STAC’ Workflows for R
{readoecd} 0.3.0: Download and Tidy Data from the OECD
{ons} 0.1.0: Download Data from the Office for National Statistics
{hmrc} 0.3.0: Download and Tidy HMRC Statistical Data
{boe} 0.1.0: Download Data from the Bank of England Statistical Database
{ardlverse} 1.1.2: Comprehensive ARDL Modeling Framework: Panel, Bootstrap, Quantile-Nonlinear, and Fourier Extensions
{earthUI} 0.1.1: Interactive ‘shiny’ GUI for the ‘earth’ Package
{llmjson} 0.1.0: Repair Malformed JSON Strings
{ggsky} 0.1.0: Galactic and Equatorial Coordinate Implementation for ‘ggplot2’
{rapidcodeR} 0.1.0: Optimized Data Analysis System for AI-Based Text Processing
{ROOT} 0.1.1: Rashomon Set of Optimal Trees
{lucidr} 0.1.0: ‘Lucide’ Icons for ‘R’
{comexr} 0.2.0: Client for the Brazilian Foreign Trade Statistics API (‘ComexStat’)
{pep725} 1.0.0: Pan-European Phenological Data Analysis
{fozziejoin} 0.0.13: Utilities for Joining Dataframes with Inexact Matching
{restrictR} 0.1.0: Composable Runtime Contracts for R

GitHub

{freestiler} 0.1.0: Create Vector Tiles from Spatial Data
{entsoeapi} 0.9.5.1: R wrapper for ENTSO-E Transparency Platform API — electricity prices, generation, load, cross-border flows

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.2.2: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
{vapour} 0.16.0: Access to the ‘Geospatial Data Abstraction Library’ (‘GDAL’) - diffify
{geomorph} 4.1.0: Geometric Morphometric Analyses of 2D and 3D Landmark Data - diffify
{laminr} 1.3.0: Client for ‘LaminDB’ - diffify
{BMA} 3.18.21: Bayesian Model Averaging - diffify
{glasstabs} 0.1.1: Animated Glass-Style Tabs and Multi-Select Filter for ‘Shiny’ - diffify
{miceadds} 3.19-16: Some Additional Multiple Imputation Functions, Especially for ‘mice’ - diffify
{cffr} 1.3.0: Generate Citation File Format (‘cff’) Metadata for R Packages - diffify
{ipumsr} 0.10.0: An R Interface for Downloading, Reading, and Handling IPUMS Data - diffify
{globals} 0.19.1: Identify Global Objects in R Expressions - diffify
{orbital} 0.5.1: Predict with ‘tidymodels’ Workflows in Databases - diffify
{igoR} 1.0.1: Intergovernmental Organizations Database - diffify
{protolite} 2.4.0: Highly Optimized Protocol Buffer Serializers - diffify
{epiworldR} 0.13.0.0: Fast Agent-Based Epi Models - diffify
{CopernicusMarine} 0.4.5: Search Download and Handle Data from Copernicus Marine Service Information - diffify
{picasso} 1.5: Sparse Learning with Convex and Concave Penalties - diffify
{blocking} 1.0.2: Various Blocking Methods for Entity Resolution - diffify
{units} 1.0-1: Measurement Units for R Vectors - diffify
{rJava} 1.0-15: Low-Level R to Java Interface - diffify
{effectsize} 1.0.2: Indices of Effect Size - diffify
{tidyterra} 1.1.0: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects - diffify
{listenv} 0.10.1: Environments Behaving (Almost) as Lists - diffify
{sdcMicro} 5.8.1: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation - diffify
{otelsdk} 0.2.3: R SDK and Exporters for OpenTelemetry - diffify
{wbids} 1.1.4: Seamless Access to World Bank International Debt Statistics (IDS) - diffify

Videos and Podcasts

R Project Updates

Updates from R Core:

We are pleased to announce that Heather Turner @heathrturnr.fosstodon.org.ap.brid.gy has joined the R Core Team. She has been an active contributor notably via the R Dev Days, and has greatly improved cooperation between R Core and the R community in more ways #RStats.
— The R Foundation (@r-foundation.bsky.social) 12 March 2026 at 13:30

R version 4.5.3 "Reassured Reassurer" (source version) has been released. It should be on CRAN by now. #rstats
— Peter Dalgaard (@pdalgd.bsky.social) 11 March 2026 at 11:56

Call for Participation

AI in Production 2026 Workshops: What’s Coming in June

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

R version 4.5.3 (Reassured Reassurer) #rstats

[image or embed]
— superboreen (@superboreen.bsky.social) 11 March 2026 at 10:34

A really fun dataset for this week's #TidyTuesday, looking at how people interpret different probabilistic statements 📊 There's so many aspects of this to visualise, but I decided make some barcode plots comparing how people from the UK and US responded! #DataViz #RStats #ggplot2

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) 11 March 2026 at 10:18

R Weekly 2026-W11 claude beeswarm rstudio

2026-03-09T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Colin Fay, with help from the R Weekly team members and contributors.

Highlight

Insights

A Few Claude Skills for R Users

R in the Real World

R in Organizations

R in Academia

Getting to the bottom of TMLE: the (almost) vanishing nuisance interaction

Tutorials

Interactive beeswarm charts in R

Resources

rOpenSci Dev Guide 1.0.0: Trilingual and Improved

New Packages

📦 Keep up to date wtih CRANberries 📦

Updated Packages

🔍 Search on R-universe 🔍

▶️ View updated packages

{ordinalpattern} 0.2.7: Tests Based on Ordinal Patterns + diffify
{DLFM} 0.2.2: Distributed Laplace Factor Model + diffify
{tramnet} 0.0-99: Penalized Transformation Models + diffify
{textshaping} 1.0.5: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping + diffify
{tepr} 1.1.15: Transcription Elongation Profiling + diffify
{ragg} 1.5.1: Graphic Devices Based on AGG + diffify
{placematchr} 0.2.4: Normalize and Match City Names to NUTS Regions + diffify
{miniPCH} 0.4.1: Survival Distributions with Piece-Wise Constant Hazards + diffify
{mdatools} 0.15.0: Multivariate Data Analysis for Chemometrics + diffify
{FeatureExtraction} 3.13.0: Generating Features for a Cohort + diffify
{CoImp} 2.2: Parametric and Nonparametric Copula-Based Imputation Methods + diffify
{semfindr} 0.2.0: Influential Cases in Structural Equation Modeling + diffify
{cnefetools} 0.2.3: Access and Analysis of Brazilian CNEFE Address Data + diffify
{thisutils} 0.4.3: Collection of Utility Functions for Data Analysis and Computing + diffify
{stochtree} 0.4.0: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference + diffify
{rsoi} 0.5.7: Import Various Northern and Southern Hemisphere Climate Indices + diffify
{htmxr} 0.2.0: Build Modern Web Applications with 'htmx' and 'plumber2' + diffify
{fs} 1.6.7: Cross-Platform File System Operations Based on 'libuv' + diffify
{coda.plot} 0.2.1: Plots for Compositional Data + diffify
{actel} 1.4.0: Acoustic Telemetry Data Analysis + diffify
{tinyimg} 0.3: Optimize and Compress Images + diffify
{TidyConsultant} 0.1.2: Tidy Consultant Universe + diffify
{regmedint} 1.0.2: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms + diffify
{iccbeta} 1.2.1: Multilevel Model Intraclass Correlation for Slope Heterogeneity + diffify
{CVXR} 1.8.1: Disciplined Convex Optimization + diffify
{BNPmix} 1.2.1: Bayesian Nonparametric Mixture Models + diffify
{testit} 0.17: A Simple Package for Testing R Packages + diffify
{N2R} 1.0.4: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library + diffify
{misty} 0.8.1: Miscellaneous Functions 'T. Yanagida' + diffify
{mapgl} 0.4.5: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS' + diffify
{leidenAlg} 1.1.6: Implements the Leiden Algorithm via an R Interface + diffify
{highr} 0.12: Syntax Highlighting for R Source Code + diffify
{Gmisc} 3.2.0: Descriptive Statistics, Transition Plots, and More + diffify
{WRSS} 3.2: Water Resources System Simulator + diffify
{rgl} 1.3.36: 3D Visualization Using OpenGL + diffify
{spicy} 0.4.2: Descriptive Statistics and Data Management Tools + diffify
{ggDNAvis} 1.0.0: 'ggplot2'-Based Tools for Visualising DNA Sequences and Modifications + diffify
{fiodata} 0.1.1: Regional and Multi-Regional Input-Output Data + diffify
{biostats} 1.1.2: Biostatistics and Clinical Data Analysis + diffify
{wakefield} 0.3.9: Generate Random Data Sets + diffify
{tinycodet} 0.6.2: Functions to Help in your Coding Etiquette + diffify
{sate} 3.1.1: Scientific Analysis of Trial Errors (SATE) + diffify
{multvardiv} 1.0.15: Multivariate Generalized Gaussian Distribution, Multivariate t Distribution, Multivariate Cauchy Distribution, Statistical Divergence + diffify
{easyViz} 2.1.0: Easy Visualization of Conditional Effects from Regression Models + diffify
{bioLeak} 0.3.0: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data + diffify
{lme4} 2.0-1: Linear Mixed-Effects Models using 'Eigen' and S4 + diffify
{tidyILD} 0.2.0: Tidy Intensive Longitudinal Data Analysis + diffify
{sleev} 1.2.0: Semiparametric Likelihood Estimation with Errors in Variables + diffify
{shinyMatrix} 0.8.1: Shiny Matrix Input Field + diffify
{TauStar} 1.1.9: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance + diffify
{rjd3jars} 0.0.2: External jars for 'rjdverse' R Packages + diffify
{RcppGSL} 0.3.14: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices + diffify
{comat} 0.9.7: Creates Co-Occurrence Matrices of Spatial Data + diffify
{asymmetry} 2.0.6: Multidimensional Scaling of Asymmetric Proximities + diffify
{systemfonts} 1.3.2: System Native Font Finding + diffify
{DIDmultiplegtDYN} 2.3.2: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods + diffify
{ccLRforR} 1.1: Case-Control Likelihood Ratio (ccLR) + diffify
{aire.zmvm} 1.0.1: Download Mexico City Pollution, Wind, and Temperature Data + diffify
{tidybins} 0.1.2: Make Tidy Bins + diffify
{RcppParallel} 5.1.11-2: Parallel Programming Tools for 'Rcpp' + diffify
{lmerTest} 3.2-1: Tests in Linear Mixed Effects Models + diffify
{educabR} 0.1.3: Download and Process Brazilian Education Data from INEP + diffify
{CSDownscale} 0.0.2: Statistical Downscaling of Climate Predictions + diffify
{move2} 0.5.0: Processing and Analysing Animal Trajectories + diffify
{exams.forge} 1.0.13: Support for Compiling Examination Tasks using the 'exams' Package + diffify
{babynamesIL} 0.2.1: Israel Baby Names 1949-2024 + diffify
{ToxCrit} 1.1: Calculates Safety Stopping Boundaries for a Single-Arm Trial using Bayes + diffify
{outliertree} 1.10.0-1: Explainable Outlier Detection Through Decision Tree Conditioning + diffify
{nleqslv} 3.3.6: Solve Systems of Nonlinear Equations + diffify
{multinet} 4.3.4: Analysis and Mining of Multilayer Social Networks + diffify
{IceSat2R} 1.0.9: 'ICESat-2' Altimeter Data using R + diffify
{dm} 1.1.1: Relational Data Models + diffify
{vectorsurvR} 1.6.3: Data Access and Analytical Tools for 'VectorSurv' Users + diffify
{PulmoDataSets} 0.2.1: A Curated Collection of Pulmonary and Respiratory Disease Datasets + diffify
{later} 1.4.8: Utilities for Scheduling Functions to Execute Later with Event Loops + diffify
{emmeans} 2.0.2: Estimated Marginal Means, aka Least-Squares Means + diffify
{textclean} 0.9.7: Text Cleaning Tools + diffify
{ssdtools} 2.6.0: Species Sensitivity Distributions + diffify
{renv} 1.1.8: Project Environments + diffify
{lessR} 4.5.2: Less Code with More Comprehensive Results + diffify
{isotree} 0.6.1-5: Isolation-Based Outlier Detection + diffify
{cgam} 1.32: Constrained Generalized Additive Model + diffify
{reappraised} 0.2: Statistical Tools for Assessing Publication Integrity of Groups of Trials + diffify
{copulaSFM} 0.2.0: Copula-Based Stochastic Frontier Models + diffify
{emplikCS} 0.3: Empirical Likelihood with Current Status Data for Mean, Probability, Hazard + diffify
{did2s} 1.2.1: Two-Stage Difference-in-Differences Following Gardner (2021) + diffify
{climate} 1.3.0: Interface to Download Meteorological (and Hydrological) Datasets + diffify
{chores} 0.3.1: A Collection of Large Language Model Assistants + diffify
{brisk} 0.1.1: Bayesian Benefit Risk Analysis + diffify
{wizaRdry} 0.6.5: A Magical Framework for Collaborative & Reproducible Data Analysis + diffify
{tglkmeans} 0.6.1: Efficient Implementation of K-Means++ Algorithm + diffify
{crossfit} 0.1.3: A Graph-Based Cross-Fitting Engine in R + diffify
{nfl4th} 1.0.7: Functions to Calculate Optimal Fourth Down Decisions in the National Football League + diffify
{IGC.CSM} 0.3.1: Simulate Impact of Different Urban Policies Through a General Equilibrium Model + diffify
{halfmoon} 0.2.0: Techniques to Build Better Balance + diffify
{rpact} 4.4.0: Confirmatory Adaptive Clinical Trial Design and Analysis + diffify
{gkgraphR} 1.0.3: Accessing the Official 'Google Knowledge Graph' API + diffify
{cepreader} 1.3-0: Read 'CEP' and Legacy 'CANOCO' Files + diffify
{metamorphr} 0.3.0: Tidy and Streamlined Metabolomics Data Workflows + diffify
{azr} 0.3.1: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services' + diffify
{rKolada} 0.3.0: Access Data from the 'Kolada' Database + diffify
{HMDA} 0.3.0: Holistic Multimodel Domain Analysis for Exploratory Machine Learning + diffify
{finbif} 0.9.13: Interface for the 'Finnish Biodiversity Information Facility' API + diffify
{sshist} 0.1.3: Optimal Histogram Binning Using Shimazaki-Shinomoto Method + diffify
{httpgd} 2.1.4: A 'HTTP' Server Graphics Device + diffify
{BioTIMEr} 0.3.2: Tools to Use and Explore the 'BioTIME' Database + diffify
{regressoR} 4.0.8: Regression Data Analysis System + diffify
{predictoR} 4.1.7: Predictive Data Analysis System + diffify
{LocalControl} 1.1.7: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence + diffify
{inflateR} 0.1.3: Inflation Adjustment for Historical Currency Values + diffify
{alsi} 0.2.0: Aggregated Latent Space Index for Binary, Ordinal, and Continuous Data + diffify
{swissparl} 0.3.0: Interface to Swiss Parliament Web Services and the 'OpenParlData' API + diffify
{MRAM} 1.0.1: Multivariate Regression Association Measure + diffify
{vegan} 2.7-3: Community Ecology Package + diffify
{tidysmd} 0.2.1: Tidy Standardized Mean Differences + diffify
{tidyCpp} 0.0.9: Tidy C++ Header-Only Definitions for Parts of the C API of R + diffify
{symengine} 0.2.11: Interface to the 'SymEngine' Library + diffify
{shapley} 0.7.0: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid + diffify
{grf} 2.6.1: Generalized Random Forests + diffify
{geographiclib} 0.4.2: Access to 'GeographicLib' + diffify
{forestplot} 3.2.0: Advanced Forest Plot Using 'grid' Graphics + diffify
{DiscreteDatasets} 0.2.0: Example Data Sets for Use with Discrete Statistical Tests + diffify
{coda.base} 1.0.5: A Basic Set of Functions for Compositional Data Analysis + diffify
{arcgisutils} 0.5.0: R-ArcGIS Bridge Utility Functions + diffify
{arcgislayers} 0.6.0: Harness ArcGIS Data Services + diffify
{OPI} 3.1.0: Open Perimetry Interface + diffify
{VancouvR} 0.1.9: Access the 'City of Vancouver' Open Data API + diffify
{cpam} 0.2.0: Changepoint Additive Models for Time Series Omics Data + diffify
{rapr} 1.1.3: Interface to 'Rangeland Analysis Platform' (RAP) Products + diffify
{whep} 0.3.0: Processing Agro-Environmental Data + diffify
{MicrobiomeStat} 1.4: Statistical Methods for Microbiome Compositional Data + diffify
{lucid} 1.11: Printing Floating Point Numbers in a Human-Friendly Format + diffify
{interpret} 0.1.35: Fit Interpretable Machine Learning Models + diffify
{NPCDTools} 1.1.0: The Nonparametric Classification Methods for Cognitive Diagnosis + diffify
{maxRgain} 1.1.0: Maximizing Polyclonal Selection Gains Using Integer Programming + diffify
{sooty} 0.6.0: Data Source Catalogues Online for Southern Ocean Ecosystem Research + diffify
{rCISSVAE} 0.0.5: Clustering-Informed Shared-Structure VAE for Imputation + diffify
{pintervals} 1.1.1: Model Agnostic Prediction Intervals + diffify
{booami} 0.1.3: Component-Wise Gradient Boosting after Multiple Imputation + diffify
{EpiSignalDetection} 0.1.3: Signal Detection Analysis + diffify
{colorfindr} 0.1.6: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images + diffify
{CohortGenerator} 1.1.0: Cohort Generation for the OMOP Common Data Model + diffify
{bistablehistory} 1.1.4: Cumulative History Analysis for Bistable Perception Time Series + diffify
{basksim} 2.1.0: Simulation-Based Calculation of Basket Trial Operating Characteristics + diffify
{CCI} 0.3.6.1: Computational Test for Conditional Independence + diffify
{ganttify} 0.2.5: Create Interactive Gantt Charts with Work Breakdown Structure + diffify
{factoextra} 2.0.0: Extract and Visualize the Results of Multivariate Data Analyses + diffify
{couplr} 1.1.0: Optimal Pairing and Matching via Linear Assignment + diffify
{dropR} 1.0.6: Dropout Analysis by Condition + diffify
{VizTest} 0.7: Optimal Confidence Intervals for Visual Testing + diffify
{textometry} 0.1.7: Textual Data Analysis Package Used by the TXM Software + diffify
{matrixCorr} 0.8.4: Collection of Correlation and Association Estimators + diffify
{calcite} 1.0.0: Bindings to the Calcite Design System 'JavaScript' Component Library + diffify
{traineR} 2.2.12: Predictive (Classification and Regression) Models Homologator + diffify
{rcdf} 0.1.4: A Comprehensive Toolkit for Working with Encrypted Parquet Files + diffify
{phers} 1.0.5: Calculate Phenotype Risk Scores + diffify
{mgwrsar} 1.3.2: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR (Top-Down Scale Approaches) + diffify
{ldmppr} 1.1.3: Estimate and Simulate from Location Dependent Marked Point Processes + diffify
{flashClust} 1.1-4: Implementation of Fast Hierarchical Clustering + diffify
{DDRTree} 0.1.6: Learning Principal Graphs with DDRTree + diffify
{CodeDepends} 0.6.7: Analysis of R Code for Reproducible Research and Code Comprehension + diffify
{codebook} 0.10.1: Automatic Codebooks from Metadata Encoded in Dataset Attributes + diffify
{clustord} 2.0.1: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype + diffify
{biometrics} 1.0.3: A Package for Biometrics and Modelling + diffify
{beezdemand} 0.2.0: Behavioral Economic Easy Demand + diffify
{CCAMLRGIS} 4.3.1: Antarctic Spatial Data Manipulation + diffify
{kindling} 0.3.0: Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks + diffify
{optree} 0.1.1: Hierarchical Runtime Configuration Management + diffify
{lingtypology} 1.1.25: Linguistic Typology and Mapping + diffify
{actuar} 3.3-7: Actuarial Functions and Heavy Tailed Distributions + diffify
{connectcreds} 0.2.0: Manage 'OAuth' Credentials from 'Posit Connect' + diffify
{undidR} 3.0.2: Difference-in-Differences with Unpoolable Data + diffify
{RMSS} 1.2.4: Robust Multi-Model Subset Selection + diffify
{rjwsacruncher} 0.2.3: Interface to the 'JWSACruncher' of 'JDemetra+' + diffify
{shinymeta} 0.2.2: Export Domain Logic from Shiny using Meta-Programming + diffify
{RMySQL} 0.11.2: Database Interface and 'MySQL' Driver for R + diffify
{mirai} 2.6.1: Minimalist Async Evaluation Framework for R + diffify
{Cubist} 0.6.0: Rule- And Instance-Based Regression Modeling + diffify
{xLLiM} 2.3.1: High Dimensional Locally-Linear Mapping + diffify
{fastMatMR} 1.2.8: High-Performance Matrix Market File Operations + diffify
{soilphysics} 5.1: Soil Physical Analysis + diffify
{aifeducation} 1.1.4: Artificial Intelligence for Education + diffify
{mcmodule} 1.2.0: Modular Monte Carlo Risk Analysis + diffify
{maxEff} 0.2.3: Additional Predictor with Maximum Effect Size + diffify
{hyper.gam} 0.2.3: Generalized Additive Models with Hyper Column + diffify
{groupedHyperframe.random} 0.2.3: Simulated Grouped Hyper Data Frame + diffify
{geofi} 1.2.0: Access Finnish Geospatial Data + diffify
{conf} 1.9.3: Visualization and Analysis of Statistical Measures of Confidence + diffify
{MAINT.Data} 2.8.0: Model and Analyse Interval Data + diffify
{dpGMM} 1.0.0: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data + diffify
{dfmta} 1.7-8: Phase I/II Adaptive Dose-Finding Design for MTA + diffify
{ecorisk} 0.3.1: Risk Assessments for Ecosystems or Ecosystem Components + diffify
{AFR} 0.3.8: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data + diffify
{genie} 1.0.7: Fast, Robust, and Outlier Resistant Hierarchical Clustering + diffify
{dfcomb} 3.1-5: Phase I/II Adaptive Dose-Finding Design for Combination Studies + diffify
{incidence2} 2.6.4: Compute, Handle and Plot Incidence of Dated Events + diffify
{gRain} 1.4.6: Bayesian Networks + diffify
{factorstochvol} 1.1.1: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models + diffify
{tracerer} 2.2.4: Tracer from R + diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Call for Participation

Agentic coding with R workshop

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

R Weekly 2025-W10 tidymodels, tidyplots, ggvariant package

2026-03-02T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

Why I don’t use {tidymodels}
Tidyplots empowers life scientists with easy code-based data visualization
{ggvariant} 0.1.0: Tidy Visualization for Genomic Variants - A native ggplot2 toolkit that simplifies creating publication-ready lollipop plots and mutational spectrum charts from VCF files.

Insights

R in the Real World

Pacific island population pyramids (again)

R in Academia

Tidyplots empowers life scientists with easy code-based data visualization

R in Organizations

pharmaverse Pillars

Tutorials

Resources

Lightweight Transfer Learning for Financial Forecasting (R!sk Conference 2026)

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{sasquatch} 0.1.3: Use ‘SAS’, R, and ‘quarto’ Together - A unique bridge for multilingual Quarto documents that allows users to run SAS code blocks interactively and pass data between R and SAS via ‘SASPy’ and ‘reticulate’.
{sqlfluffr} 0.1.0: Wrapper to the ‘SQL’ Linter and Formatter ‘sqlfluff’ - Provides an R interface to the popular Python ‘sqlfluff’ linter; particularly interesting for your workflow as it includes special handling for ‘glue’ SQL syntax.
{hypertext} 1.0.0: ‘HTML’ Element Construction - A framework-agnostic Domain-Specific Language (DSL) for building HTML nodes directly in R and rendering them to strings, useful for custom web reporting.
{tidyaudit} 0.1.0: Pipeline Audit Trails for ‘tidyverse’ Workflows - Captures metadata snapshots at each step of a tidyverse pipeline to build structured audit reports without storing the actual data.
{nhanesdata} 0.2.1: Harmonized Access to NHANES Survey Data - Provides instant access to over 20 years of harmonized health survey data, handling complex cycle management and type reconciliation automatically.
{ggvariant} 0.1.0: Tidy Visualization for Genomic Variants - A native ggplot2 toolkit that simplifies creating publication-ready lollipop plots and mutational spectrum charts from VCF files.
{astronomyengine} 0.1.0: R Bindings to the ‘Astronomy Engine’ C Library - High-precision calculations for positions of the Sun, Moon, and planets, as well as predictions for eclipses and transits based on the VSOP87 model.
{typstable} 0.1.0: Better ‘Typst’ Tables - For those moving toward Typst for document rendering, this provides a pipe-friendly interface to create styled Typst table markup from R data frames.
{VectorForgeML} 0.1.0: Machine Learning with C++ Acceleration - A high-performance ML framework that uses Rcpp for vectorized model training, aimed at speed-critical statistical learning.
{sessioncheck} 0.1: Checks Session Status - A utility for developers to ensure a clean R environment by throwing errors if unwanted variables exist or specific packages are loaded.
{nnetLM} 1.0.1: Neural Network with Levenberg-Marquardt Optimization - Implements neural networks specifically optimized for small datasets using the ‘minpack.lm’ engine.
{obm} 2.0: Interface to ‘OpenBioMaps’ Data - Connects R to the OpenBioMaps open-source biodiversity platform, allowing conservationists to pull data directly into their analysis environment.
{ggvegan} 0.2.1: ‘ggplot2’ Plots for the ‘vegan’ Package
{neuromapr} 0.2.1: Spatial Null Models and Transforms for Brain Map Comparison

Updated Packages

🔍 Search on R-universe 🔍

{xts} 0.14.2: eXtensible Time Series - A foundational package for handling time series data in R, offering a uniform interface for many different classes.
{mlr3} 1.5.0: Machine Learning in R - The “next generation” framework for machine learning, providing a modern, object-oriented approach to building and evaluating models.
{DBI} 1.3.0: R Database Interface - The essential database interface that defines a common set of functions for interacting with various database management systems.
{duckplyr} 1.2.0: A ‘DuckDB’-Backed Version of ‘dplyr’ - Combines the familiar syntax of dplyr with the high-performance analytical capabilities of the DuckDB engine.
{ggrepel} 0.9.7: Automatically Position Non-Overlapping Text Labels - A must-have extension for ggplot2 that prevents overlapping text labels in plots.
{countrycode} 1.7.0: Convert Country Names and Country Codes - An incredibly useful utility for harmonizing geographic data from various sources and formats.
{localLLM} 1.2.1: Running Local LLMs with ‘llama.cpp’ Backend - A unique bridge allowing R users to interface with local Large Language Models directly.
{survminer} 0.5.2: Drawing Survival Curves using ‘ggplot2’ - The standard for creating publication-quality survival analysis visualizations (Kaplan-Meier curves).
{dm} 1.1.0: Relational Data Models - Tools for working with relational data models, including visualizing schemas and handling foreign key constraints within R.
{fcuk} 0.2.0: The Ultimate Helper for Clumsy Fingers - A unique “quality of life” package that suggests corrections when you mistype a function name in the console.
{scholar} 0.2.6: Analyse Citation Data from Google Scholar - A specialized tool for scraping and analyzing academic citation profiles and trends.
{tidyseurat} 0.8.10: Brings Seurat to the Tidyverse - Essential for bioinformatics workflows, allowing users to use tidyverse verbs on Seurat objects (single-cell RNA-seq data).
{fio} 1.0.0: Friendly Input-Output Analysis - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Today's artwork generated with #rstats and #ggplot2: pic.twitter.com/wzUmznftEc
— aRtsy package (@aRtsy_package) February 28, 2026

Quotes of the Week

We live in a magical time for #dataviz. This map is just a static html page served on GitHub pages 🤯 It uses the incredible {pmtiles} #rstats package by @kylewalker.bsky.social to quickly filter through ~21M rows of data hosted on Cloudflare vehicletrends.github.io/hhi-map/

[image or embed]
— John Paul Helveston (@jhelvy.bsky.social) February 25, 2026 at 11:17 PM

Given the recent spicy #rstats threads, an important reminder: There's no single right way to code If it works for you, that's all that matters really Be good to your fellow coders

[image or embed]
— Ben Harrap (@bharrap.bsky.social) February 27, 2026 at 6:47 PM

This is how you can cite #tidyplots in your published work 🙏https://t.co/n58lCO4cf3 #rstats #dataviz #phd pic.twitter.com/HkqNNhnjk7
— Jan Broder Engler (@JanBroderEngler) February 11, 2026

R Weekly 2026-W09 Git commits, Pick a License, and How to choose the best LLM using R and vitals

2026-02-23T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

Insights

Git commits: please mark your stitches!

R in the Real World

R in Organizations

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

qlcal 0.1.0 on CRAN: Easier Calendar Switching

Updated Packages

🔍 Search on R-universe 🔍

{osmapiR} 0.2.5: Interface to OpenStreetMap API - diffify
Version 1.4.1 of NIMBLE released
CDCPLACES 1.2.0

Videos and Podcasts

Shiny Apps

Recursive Language Models app from James Wade

R Internationally

Introducing il.cbs.muni - An R Package for Handling Israeli CBS Municipal Data

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @nrennie@fosstodon.org

View on Mastodon

Quotes of the Week

Post by @nrennie@fosstodon.org

View on Mastodon

R Weekly 2026-W08 submissions working group, nested Lists with xfun::tabset

2026-02-16T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

Insights

Pick a License, Not Any License: Why you should care about data science software licenses and how to learn more
RcppSpdlog 0.0.27 on CRAN: C++20 Accommodations
chronometre: A new package (pair) demo for R and Python

R in the Real World

R in Organizations

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{typstable} 0.1.0: Better ‘Typst’ Tables
{SimtablR} 1.0.1: Easy Publication-Ready Tables and Regression Analysis
{quallmer} 0.3.0: Qualitative Analysis with Large Language Models
{flexBART} 2.0.3: A More Flexible BART Model
{geobounds} 0.1.0: Download Map Data from ‘geoBoundaries’
{ohvbd} 1.0.0: One Health VBD Hub
{scaledescr} 0.2.0: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
{roadDB} 0.1.0: Access Data from the ROCEEH Out of Africa Database (ROAD)
{fuzzystring} 0.0.1: Fast Fuzzy String Joins for Data Frames
{optimflex} 0.1.0: Derivative-Based Optimization with User-Defined Convergence Criteria
{whisper} 0.1.0: Native R ‘torch’ Implementation of ‘OpenAI’ ‘Whisper’
{keyed} 0.1.3: Explicit Key Assumptions for Flat-File Data
{indonesiaFootballScoutR} 0.1.3: Tools for Football Player Scouting in Indonesia
{bioLeak} 0.2.0: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
{bayesics} 2.0.2: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
{BayesianHybridDesign} 0.1.0: Bayesian Hybrid Design and Analysis
{areaOfEffect} 0.2.4: Spatial Support at Scale
{wired} 1.0.0: Weighted Adaptive Prediction with Structured Dependence
{tidylearn} 0.1.0: A Unified Tidy Interface to R’s Machine Learning Ecosystem
{quickSentiment} 0.2.0: A Fast and Flexible Pipeline for Text Classification
{climenu} 0.1.4: Interactive Command-Line Menus

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.2.1: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
{cocoon} 0.3.0: Extract, Format, and Print Statistical Output - diffify
{event} 1.1.2: Event History Procedures and Models - diffify
{cancerradarr} 3.0.0: Cancer RADAR Project Tool - diffify
{AMAPVox} 2.4.2: LiDAR Data Voxelisation - diffify
{rvg} 0.4.1: R Graphics Devices for ‘Office’ Vector Graphics Output - diffify
{poputils} 0.6.1: Demographic Analysis and Data Manipulation - diffify
{Rparadox} 0.2.2: Read Paradox Database Files into R - diffify
{rcatfish} 1.0.1: An R Interface to the California Academy of Sciences Eschmeyer’s Catalog of Fishes - diffify
{multcompView} 0.1-11: Visualizations of Paired Comparisons - diffify
{osmapiR} 0.2.5: ‘OpenStreetMap’ API - diffify
{ivolcano} 0.0.5: Interactive Volcano Plot - diffify
{doconv} 0.4.0: Document Conversion to ‘PDF’, Thumbnails and Visual Testing - diffify
{inshiny} 0.1.2: Compact Inline Widgets for ‘shiny’ Apps - diffify
{keras} 2.16.1: R Interface to ‘Keras’ - diffify
{googletraffic} 0.1.8: Google Traffic - diffify
{codebookr} 0.1.9: Create Codebooks from Data Frames - diffify
{modelsummary} 2.6.0: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready - diffify
{UsingR} 2.0-8: Data Sets, Etc. for the Text “Using R for Introductory Statistics”, Second Edition - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Shiny Apps

Package Dependency vizualizer (on top of {PAK})
and more details in Bluesky

R Internationally

Large Language Model tools for R in English and Spanish

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

rainbowR conference, Feb 25th-26th, 2026, virtual, free.

Connect

Join the Data Science Learning Community

rtistry

🎨 #Rtistry #RStats #ggplot2

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) February 5, 2026 at 7:39 PM

Quotes of the Week

The #DuBoisChallenge started this week! This year's theme is maps, opening with Plate 1, where Du Bois reminds audiences that the African Diaspora was built on Transatlantic Slave Trade. Borrowed an approach of looking at states from @nrennie.bsky.social Code in #rstats: github.com/drjohnrussel...

[image or embed]
— John Russell (@drjohnrussell.com) February 13, 2026 at 4:58 AM

I'm right in the middle of the #RStats, #DataViz and map people 💜

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) February 10, 2026 at 9:02 PM

Few people are capable of expressing with equanimity opinions which differ from the prejudices of their social environment. Most people are even incapable of forming such opinions.

[image or embed]
— Sanweb - Random Stuffs 🦄 (@sanweb.bsky.social) January 24, 2024 at 8:41 AM

R Weekly 2026-W07 sitrep, webRios, Jarl linter

2026-02-09T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

When Targeting Gets Too Narrow: A Break-Even Lens for selecting Audience Segments

R in Organizations

From nlmixr2 Working Group: nlmixr2 inter occasion variability

R in Academia

Tutorials

Building a Robust .gitconfig

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{whisper} 0.1.0: Native R ‘torch’ Implementation of ‘OpenAI’ ‘Whisper’
{vascr} 0.1.4: Process Biological Impedance Sensing Data
{tirt} 0.1.3: Testlet Item Response Theory
{nlmixr2auto} 1.0.0: Automated Population Pharmacokinetic Modeling
{keyed} 0.1.3: Explicit Key Assumptions for Flat-File Data
{indonesiaFootballScoutR} 0.1.3: Tools for Football Player Scouting in Indonesia
{bioLeak} 0.1.0: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
{bayesics} 2.0.2: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
{BayesianHybridDesign} 0.1.0: Bayesian Hybrid Design and Analysis
{areaOfEffect} 0.2.4: Spatial Support at Scale
{wired} 1.0.0: Weighted Adaptive Prediction with Structured Dependence
{snreg} 1.2.0: Regression with Skew-Normally Distributed Error Term
{resLIK} 0.1.2: Representation-Level Control Surfaces for Reliability Sensing
{PPtreeExt} 0.1.0: Projection Pursuit Classification Tree Extensions
{mortSOA} 0.1.0: Obtain Data from the Society of Actuaries ‘Mortality and Other Rate Tables’ Site
{tidylearn} 0.1.0: A Unified Tidy Interface to R’s Machine Learning Ecosystem
{quickSentiment} 0.1.0: A Fast and Flexible Pipeline for Text Classification
{numspellR} 0.1.0: Detection of Numeric Persistence and Rigidity Patterns
{climenu} 0.1.3: Interactive Command-Line Menus
{roxigraph} 0.1.0: ‘RDF’ and ‘SPARQL’ for R using ‘Oxigraph’
{regextable} 0.1.1: Pattern-Based Text Extraction and Standardization with Lookup Tables
{wlsd} 1.0.1: Wrangling Longitudinal Survival Data
{Orangutan} 2.0.0: Automated Analysis of Phenotypic Data
{marinepredator} 0.0.1: Marine Predators Algorithm
{GalaxyR} 0.1.0: ‘Galaxy’ API Implementation
{directadjusting} 0.6.1: Directly Adjusted Estimates
{SNMA} 0.1.5: Stream Network Movement Analyses
{ppweibull} 1.0: Piecewise Lifetime Models
{gsDesignTune} 0.1.0: Dependency-Aware Scenario Exploration for Group Sequential Designs
{avstrat} 0.1.1: Stratigraphic Data Processing and Section Plots
{typeR} 0.2.0: Simulate Typing Script
{tidyextreme} 1.0.0: A Tidy Toolbox for Climate Extreme Indices
{sqlm} 0.1.0: SQL-Backed Linear Regression
{setweaver} 1.0.0: Building Sets of Variables in a Probabilistic Framework
{CurricularComplexityData} 0.1.0: Data for Exploring Curricular Complexity
{vismi} 0.9.5: Visual Diagnostics for Multiple Imputation

{sleacr} 0.1.3: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
{rcatfish} 1.0.0: An R Interface to the California Academy of Sciences Eschmeyer’s Catalog of Fishes
{SepTest} 0.0.1: Tests for First-Order Separability in Spatio-Temporal Point Processes
{SemiparMF} 1.0.0: Semiparametric Spatiotemporal Model with Mixed Frequencies
{scenfire} 0.1.0: Post-Processing Algorithm for Integrating Wildfire Simulations
{multiRec} 1.0.6: Analysis of Multi-Type Recurrent Events
{gipsDA} 0.1.2: Training DA Models Utilizing ‘gips’
{findn} 0.1.0: Simulation Based Sample Size Estimation
{educabR} 0.1.0: Download and Process Brazilian Education Data from INEP
{sasif} 0.1.2: ‘SAS’ IF Style Data Step Logic for Data Tables
{phinterval} 1.0.0: Set Operations on Time Intervals
{multiSA} 0.1.0: Multi-Stock Assessment
{MADtests} 0.1.1: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
{baselinenowcast} 0.2.0: Baseline Nowcasting for Right-Truncated Epidemiological Data
{spanner} 1.0.2: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
{opusreader2} 0.6.8: Read Spectroscopic Data from Bruker OPUS Binary Files
{nomiShape} 1.0.0: Visualization and Analysis of Nominal Variable Distributions
{healthbR} 0.1.1: Access Brazilian Public Health Data
{CGMissingDataR} 0.0.1: Missingness Benchmark for Continuous Glucose Monitoring Data
{rotulador} 1.0.0: Useful Functions for Programming and Generating Documents
{fluxfixer} 1.0.0: Advanced Framework for Sap Flow Data Post-Process
{blindspiker} 0.2.0: Laboratory Blind Spike Sample Analyses
{BioGSP} 1.0.0: Biological Graph Signal Processing for Spatial Data Analysis
{SVG} 1.0.0: Spatially Variable Genes Detection Methods for Spatial Transcriptomics
{date4ts} 0.1.1: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
{comphy} 1.0.5: Functions Used in the Book “Computational Physics with R”
{blockstrap} 1.0.0: Sample Dataframes by a Group
{adsasi} 0.9.0.1: Adaptive Sample Size Simulator

GitHub or Bitbucket

{timenow}: Quick Timezone-aware Timestamps

Updated Packages

🔍 Search on R-universe 🔍

rfoaas 2.3.3: Limited Rebirth
littler 0.3.23 on CRAN: More Features (and Fixes)
blockr.dag update: ports.
{vazul} 1.1.0: Analysis Blinding Tools - diffify
{scorecard} 0.4.6: Credit Risk Scorecard - diffify
{reporter} 1.4.6: Creates Statistical Reports - diffify
{partykit} 1.2-25: A Toolkit for Recursive Partytioning - diffify
{mlpack} 4.7.0: ‘Rcpp’ Integration for the ‘mlpack’ Library - diffify
{gratia} 0.11.2: Graceful ‘ggplot’-Based Graphics and Other Functions for GAMs Fitted Using ‘mgcv’ - diffify
{bibliorefer} 0.1.3: Generator of Main Scientific References - diffify
{bcdata} 0.5.2: Search and Retrieve Data from the BC Data Catalogue - diffify
{osrm.backend} 0.2.0: Bindings for ‘Open Source Routing Machine’ - diffify
{crosswalkr} 0.4.0: Rename and Encode Data Frames Using External Crosswalk Files - diffify
{UCSCXenaTools} 1.7.0: Download and Explore Datasets from UCSC Xena Data Hubs - diffify
{SomaDataIO} 6.5.0: Input/Output ‘SomaScan’ Data - diffify
{shinyscholar} 0.4.4: A Template for Creating Reproducible ‘shiny’ Applications - diffify
{OmopSketch} 1.0.1: Characterise Tables of an OMOP Common Data Model Instance - diffify
{feisr} 1.3.1: Estimating Fixed Effects Individual Slope Models - diffify
{eurlex} 0.4.9: Retrieve Data on European Union Law - diffify
{BioCro} 3.3.1: Modular Crop Growth Simulations - diffify
{profileModel} 0.6.2: Profiling Inference Functions for Various Model Classes - diffify
{ipeaplot} 0.5.1: Add Ipea Editorial Standards to ‘ggplot2’ Graphics - diffify
{gooseR} 0.1.2: R Integration for ‘Goose’ AI - diffify
{vigicaen} 1.0.0: ‘VigiBase’ Pharmacovigilance Database Toolbox - diffify
{micar} 1.2.0: ‘Mica’ Data Web Portal Client - diffify
{AutoPlots} 1.5.0: Creating Echarts Visualizations as Easy as Possible - diffify
{tidydfidx} 0.0-3: Indexed ‘tibble’ and Methods for ‘dplyr’ - diffify
{resourcecode} 0.5.3: Access to the ‘RESOURCECODE’ Hindcast Database - diffify
{gifti} 0.9.0: Reads in ‘Neuroimaging’ ‘GIFTI’ Files with Geometry Information - diffify
{resourcer} 1.5.0: Resource Resolver - diffify
{SBMTrees} 1.4: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data - diffify
{permute} 0.9-10: Functions for Generating Restricted Permutations of Data - diffify
{bindrcpp} 0.2.4: An ‘Rcpp’ Interface to Active Bindings - diffify
{simPH} 1.3.15: Simulate and Plot Estimates from Cox Proportional Hazards Models - diffify
{Ruido} 1.0.2: Soundscape Background Noise, Power, and Saturation - diffify
{qryflow} 0.2.0: Execute Multi-Step ‘SQL’ Workflows - diffify
{traumar} 1.2.4: Calculate Metrics for Trauma System Performance - diffify
{tidychangepoint} 1.0.4: A Tidy Framework for Changepoint Detection Analysis - diffify
{Rparadox} 0.2.0: Read Paradox Database Files into R - diffify
{idmc} 0.4.1: Load and Wrangle IDMC Displacement Data - diffify
{shinyloadtest} 1.2.1: Load Test Shiny Applications - diffify
{phsopendata} 1.0.3: Extract from the Scottish Health and Social Care Open Data Platform - diffify
{penetrance} 0.1.2: Methods for Penetrance Estimation in Family-Based Studies - diffify
{ISAR} 1.0.2: Introduction to Sports Analytics using R (ISAR) Data - diffify
{HVT} 26.1.2: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis - diffify
{tidyCDISC} 0.2.2: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets - diffify
{BFS} 0.7.1: Get Data from the Swiss Federal Statistical Office - diffify
{fru} 0.0.3: A Blazing Fast Implementation of Random Forest - diffify
{doRNG} 1.8.6.3: Generic Reproducible Parallel Backend for ‘foreach’ Loops - diffify
{statsExpressions} 1.7.3: Tidy Dataframes and Expressions with Statistical Details - diffify
{aion} 1.7.0: Archaeological Time Series - diffify
{cardargus} 0.2.1: Generate SVG Information Cards with Embedded Fonts and Badges - diffify
{discovr} 1.0.0: Interactive Tutorials and Data for “Discovering Statistics Using R and RStudio” - diffify
{chunked} 0.6.2: Chunkwise Text-File Processing for ‘dplyr’ - diffify
{pmparser} 1.0.24: Create and Maintain a Relational Database of Data from PubMed/MEDLINE - diffify
{efdm} 0.2.2: Simulate Forest Resources with the European Forestry Dynamics Model - diffify
{COMIX} 1.0.2: Coarsened Mixtures of Hierarchical Skew Kernels - diffify
{collections} 0.3.11: High Performance Container Data Types - diffify
{cardx} 0.3.2: Extra Analysis Results Data Utilities - diffify
{PAMscapes} 0.15.0: Tools for Summarising and Analysing Soundscape Data - diffify
{vowels} 1.2-3: Vowel Manipulation, Normalization, and Plotting - diffify
{kDGLM} 1.2.12: Bayesian Analysis of Dynamic Generalized Linear Models - diffify
{kindling} 0.2.0: Higher-Level Interface of ‘torch’ Package to Auto-Train Neural Networks - diffify
{BayesMallowsSMC2} 0.2.1: Nested Sequential Monte Carlo for the Bayesian Mallows Model - diffify
{PaRe} 0.1.16: A Way to Perform Code Review or QA on Other Packages - diffify
{goat} 1.1.5: Gene Set Analysis Using the Gene Set Ordinal Association Test - diffify
{ediblecity} 0.2.2: Modeling Urban Agriculture at City Scale - diffify
{restatapi} 0.24.5: Search and Retrieve Data from Eurostat Database - diffify
{tidywikidatar} 0.6.0: Explore ‘Wikidata’ Through Tidy Data Frames - diffify
{insight} 1.4.6: Easy Access to Model Information for Various Model Objects - diffify
{fanyi} 0.1.1: Translate Words or Sentences via Online Translators - diffify
{lubridate} 1.9.5: Make Dealing with Dates a Little Easier - diffify
{beast} 1.2: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series - diffify
{viridisLite} 0.4.3: Colorblind-Friendly Color Maps (Lite Version) - diffify
{wizaRdry} 0.6.4: A Magical Framework for Collaborative & Reproducible Data Analysis - diffify
{bmemLavaan} 0.7: Mediation Analysis with Missing Data and Non-Normal Data - diffify
{layer} 0.0.4: Tilt your Maps and Turn Them into ‘ggplot’ Plots - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

A gRadual Intro to Shiny - R-Ladies Remote (February 17, 2026)
A list of R conferences and meetings
This week’s local R-User and applied stats events
Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @rOpenSci@hachyderm.io

View on Mastodon

Post by @smach@masto.machlis.com

View on Mastodon

R Weekly 2026-W06 Interview, Practical git, duckdb

2026-02-02T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Carroll, with help from the R Weekly team members and contributors.

Highlight

Insights

Tutorials

Resources

Statistical Inference for Persistence Diagrams

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{printtree} 0.2.0: Print Directory Trees for R Projects and Folders
{h5lite} 2.0.0.2: Simplified ‘HDF5’ Interface
{chronometre} 0.0.1: A ‘chronomètre’ is a ‘stopwatch’
{weatherjoin} 0.2.0: Join Gridded Weather Data to Event Tables
{StatsTFLValR} 1.0.0: Utilities for Validation of Clinical Trial ‘SDTM’, ‘ADaM’ and ‘TFL’ Outputs
{coldrift} 0.1.1: Lightweight Column Drift Detection for Tabular Data
{annotaR} 0.1.1: Tidy, Integrated Gene Annotation
{muiMaterial} 0.1.2: ‘Material UI’ for ‘shiny’ Apps and ‘Quarto’
{kuzco} 0.1.0: Computer Vision with Large Language Models

GitHub or Bitbucket

arf console: Alternative R Frontend

Updated Packages

🔍 Search on R-universe 🔍

{runner} 0.4.6: Running Operations for Vectors - diffify
{modeltime} 1.3.5: The Tidymodels Extension for Time Series Modeling - diffify
{treediff} 0.2.2: Testing Differences Between Families of Trees - diffify
{see} 0.13.0: Model Visualisation Toolbox for ‘easystats’ and ‘ggplot2’ - diffify
{pdftools} 3.7.0: Text Extraction, Rendering and Converting of PDF Documents - diffify
{zoomerjoin} 0.2.2: Superlatively Fast Fuzzy Joins - diffify
{shinyOAuth} 0.3.0: Provider-Agnostic OAuth Authentication for ‘shiny’ Applications - diffify
{gmailr} 3.0.0: Access the ‘Gmail’ ‘RESTful’ API - diffify
{plotbb} 0.1.1: Grammar of Graphics for ‘base’ Plot - diffify
{sqldf} 0.4-12: Manipulate R Data Frames Using SQL - diffify
{timechange} 0.4.0: Efficient Manipulation of Date-Times - diffify
{oblicubes} 1.0.1: 3D Rendering Using Obliquely Projected Cubes and Cuboids - diffify
{receptiviti} 0.2.1: Text Analysis Through the ‘Receptiviti’ API - diffify
{foreign} 0.8-91: Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’, ‘SPSS’, ‘Stata’, ‘Systat’, ‘Weka’, ‘dBase’, … - diffify
{admiralonco} 1.4.0: Oncology Extension Package for ADaM in ‘R’ Asset Library - diffify
{bruceR} 2026.1: Broadly Useful Convenient and Efficient R Functions - diffify
{Rlabkey} 3.4.5: Data Exchange Between R and ‘LabKey’ Server - diffify
{gargle} 1.6.1: Utilities for Working with Google APIs - diffify
{bittermelon} 2.2.1: Bitmap Tools - diffify
{billboarder} 0.5.1: Create Interactive Chart with the JavaScript ‘Billboard’ Library - diffify
{futureverse} 0.2.0: Install ‘Futureverse’ in One Go - diffify
{edgemodelr} 0.1.5: Local Large Language Model Inference Engine - diffify
{rixpress} 0.11.2: Build Reproducible Analytical Pipelines with ‘Nix’ - diffify
{rix} 0.18.1: Reproducible Data Science Environments with ‘Nix’ - diffify
{duckdb} 1.4.4: DBI Package for the DuckDB Database Management System - diffify
{plumber} 1.3.3: An API Generator for R - diffify
{tidyna} 0.4.0: NA-Aware Defaults for Common R Functions - diffify

Videos and Podcasts

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

Post by @jointscsg@mastodon.social

View on Mastodon

Post by @brodriguesco@fosstodon.org

View on Mastodon

Post by @useR_conf@mastodon.social

View on Mastodon

R Weekly 2026-W05 LLMs & plots, soil flux, futurize

2026-01-26T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members and contributors.

Highlight

Insights

{width=”100%”}

R in the Real World

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{vecmatch} 1.3.0: Generalized Propensity Score Estimation and Matching for Multiple Groups
{provolleyballr} 0.1.0: Extract Data from US Women’s Professional Volleyball Websites
{orcidtr} 0.1.0: Retrieve Data from the ORCID Public API
{querychat} 0.2.0: Filter and Query Data Frames in ‘shiny’ Using an LLM Chat Interface
{futurize} 0.1.0: Parallelize Common Functions via One Magic Touch

Bioconductor

Updated Packages

🔍 Search on R-universe 🔍

CRAN

{ncaavolleyballr} 0.5.1: Extract Data from NCAA Women’s and Men’s Volleyball Website
{gtExtras} 0.6.2: Extending ‘gt’ for Beautiful HTML Tables - diffify
{rix} 0.17.4: Reproducible Data Science Environments with ‘Nix’ - diffify
{multiDEGGs} 1.1.2: Multi-Omic Differentially Expressed Gene-Gene Pairs - diffify
{charlatan} 0.6.2: Make Fake Data - diffify

BioConductor

{orthogene} 1.16.1: map genes within and across hundreds of species

Videos and Podcasts

Shiny Apps

UK University Finance Dashboard

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG): - Announcing R Dev Day \@ Rencontres R 2026: Nantes University, France or remote, Friday 19 June, 9am - 5pm (UTC+2). Join us to work on contributions to the code, documentation and translations in base R. Free and open registration, deadline Friday 29 May.

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Genuary Day 21: Bauhaus Poster. Create a poster design inspired by the German art school Bauhaus. #genuary #genuary2026 #genuary21 #RStats

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) 21 janvier 2026 à 11:24

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

Quotes of the Week

Me clicking \^ for several minutes until I get back to devtools::test() #R #RStats

[image or embed]
— jrdnbradford.bsky.social (@jrdnbradford.bsky.social) 21 janvier 2026 à 19:56

<script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script>

R Weekly 2026-W04 Automate PR's with Claude, Accessible line charts

2026-01-20T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Gold/Silver Ratio: GenAI with Quant Agent on Azure AI Foundry

Tutorials

How to create a more accessible line chart

Setting Up A Cluster of Tiny PCs For Parallel Computing - A Note To Myself

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{AddiVortes} 0.4.8: (Bayesian) Additive Voronoi Tessellations
{blastar} 0.1.1: BLAST and Sequence Analysis Tools
{blockr} 0.1.0: A Block-Based Framework for Data Manipulation and Visualization
{blvim} 0.1.1: Boltzmann–Lotka–Volterra Interaction Model
{frontmatter} 0.1.0: Parse Front Matter from Documents
{mascarade} 0.3.0: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots

{querychat} 0.2.0: Filter and Query Data Frames in ‘shiny’ Using an LLM Chat Interface
{rjd3toolkit} 3.6.0: Utility Functions Around ‘JDemetra+ 3.0’

Updated Packages

🔍 Search on R-universe 🔍

{admiral} 1.4: ADaM in R Asset Library - diffify
{distributional} 0.6.0: Vectorised Probability Distributions - diffify
{future} 1.69.0: Unified Parallel and Distributed Processing in R for Everyone - diffify
{mapSpain} 1.0.0: Administrative Boundaries of Spain - diffify

{qol} 1.2.0: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
{ranger} 0.18.0: A Fast Implementation of Random Forests - diffify
{RcppAnnoy} 0.0.23: ‘Rcpp’ Bindings for ‘Annoy’, a Library for Approximate Nearest Neighbors - diffify
{renv} 1.1.6: Project Environments - diffify
{survival} 3.8-6: Survival Analysis - diffify
{vctrs} 0.7.0: Vector Helpers - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Week

I FINALLY added the air #RStats formatter in Positron so it formats each time I save - and it is magical. Fixes indents! Puts things on the correct lines! Info: positron.posit.co/guide-r-air....

[image or embed]
— Sharon Machlis (@smachlis.bsky.social) 15 January 2026 at 20:45

A great use-case for Nano Banana Pro: creating #rstats hex logos. It used to take me hours to put these logos together (I'm not a graphic designer), but logos really help with branding R packages. With Nano Banana I feed Gemini the package spec, iterate, and get great results.

[image or embed]
— Kyle Walker (@kylewalker.bsky.social) 16 January 2026 at 16:16

R Weekly 2026-W03 R & Python Pluralism, RAG Setup, tinyshinyserver

2026-01-12T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

R + Python: From polyglot to pluralism: A very targeted recap on posit::conf(2025) and a broader reflection on how the best design and devtools ideas from R and python have influenced each others’ stacks for the better
Retrieval-Augmented Generation: Setting up a Knowledge Store in R
{tinyshinyserver} 0.1.0: Tiny ‘shiny’ Server - Lightweight Multi-App ‘shiny’ Proxy

Insights

R + Python: From polyglot to pluralism: A very targeted recap on posit::conf(2025) and a broader reflection on how the best design and devtools ideas from R and python have influenced each others’ stacks for the better
Paired Ends Wrapped: Top 10 Posts From 2025

R in the Real World

Applied Epidemiology in R: Cape Town R User Group’s Contribution to Global Immunization

R in Organizations

R in Academia

Estimation of the epidemiological characteristics of scabies and accompnaying R package mitey.
penguins: Cloze Quiz for Exploratory Analysis of Penguins Data

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{TxEffectsSurvival} 1.0.2: Treatment Effect Inference for Terminal and Non-Terminal Events under Competing Risks
{ggguides} 1.1.4: Simplified Legend and Guide Alignment for ‘ggplot2’

{tidyna} 0.1.2: NA-Aware Defaults for Common R Functions
{odyssey} 1.0.0: Interface to the HAL Open Archive API
{pboost} 0.2.1: Profile Boosting Framework for Parametric Models
{outlierspinner} 0.1.0: Geometric Multivariate Outlier Detection via Random Directional Probing
{vbracket} 1.0.2: Custom Legends with Statistical Comparison Brackets
{DedooseR} 2.0.0.2: Monitoring and Analyzing Dedoose Qualitative Data Exports
{blockr.io} 0.1.0: Interactive File Import and Export Blocks
{tinyshinyserver} 0.1.0: Tiny ‘shiny’ Server - Lightweight Multi-App ‘shiny’ Proxy
{FluxPoint} 0.1.1: Change Point Detection for Non-Stationary and Cross-Correlated Time Series

Updated Packages

🔍 Search on R-universe 🔍

RcppCCTZ 0.2.14 on CRAN: New Upstream, Small Edits
RcppSpdlog 0.0.24 on CRAN: New Upstream
Survivor 49 is now in 📦{survivoR}
{VIM} 7.0.0: Visualization and Imputation of Missing Values - diffify

{skimr} 2.2.2: Compact and Flexible Summaries of Data - diffify
{jagsUI} 1.6.3: A Wrapper Around ‘rjags’ to Streamline ‘JAGS’ Analyses - diffify
{geonapi} 0.8-1: ‘GeoNetwork’ API R Interface - diffify
{sociome} 3.0.0: Operationalizing Social Determinants of Health Data for Researchers - diffify
{plotdap} 1.1.1: Easily Visualize Data from ‘ERDDAP’ Servers via the ‘rerddap’ Package - diffify
{pharmaversesdtm} 1.4.0: SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify
{openalexR} 3.0.0: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API - diffify
{mapsf} 1.1.0: Thematic Cartography - diffify

{maplegend} 0.5.0: Legends for Maps - diffify
{ggVennDiagram} 1.5.7: A ‘ggplot2’ Implement of Venn Diagram - diffify
{enderecobr} 0.5.0: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer) - diffify
{blme} 1.0-7: Bayesian Linear Mixed-Effects Models - diffify
{BFpack} 1.5.3: Flexible Bayes Factor Testing of Scientific Expectations - diffify
{shinySbm} 0.2.0: ‘shiny’ Application to Use the Stochastic Block Model - diffify
{shinytest2} 0.5.0: Testing for Shiny Applications - diffify
{gqlr} 0.1.0: ‘GraphQL’ Server in R - diffify
{echarty} 1.7.1: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’ - diffify
{gamstransfer} 3.0.8: A Data Interface Between ‘GAMS’ and R - diffify
{EDIutils} 2.0.0: An API Client for the Environmental Data Initiative Repository - diffify
{ClustMC} 0.1.2: Cluster-Based Multiple Comparisons - diffify
{plotthis} 0.9.3: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
{ggplate} 0.2.0: Create Layout Plots of Biological Culture Plates and Microplates - diffify
{tablet} 0.7.1: Tabulate Descriptive Statistics in Multiple Formats - diffify
{SCpubr} 3.0.1: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data - diffify
{eudract} 1.1.0: Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov - diffify
{RRmorph} 0.0.2: 3D Morphological Analyses with ‘RRphylo’ - diffify
{rlang} 1.1.7: Functions for Base Types and Core R and ‘Tidyverse’ Features - diffify
{audubon} 0.6.2: Japanese Text Processing Tools - diffify
{IncDTW} 1.1.4.6: Incremental Calculation of Dynamic Time Warping - diffify
{AssociationExplorer2} 0.1.4: A User-Friendly ‘shiny’ Application for Exploring Associations and Visual Patterns - diffify
{tabr} 0.5.5: Music Notation Syntax, Manipulation, Analysis and Transcription in R - diffify
{r2rtf} 1.3.0: Easily Create Production-Ready Rich Text Format (RTF) Tables and Figures - diffify
{mispitools} 1.4.0: Missing Person Identification Tools - diffify
{Hmisc} 5.2-5: Harrell Miscellaneous - diffify
{googleAuthR} 2.0.2.1: Authenticate and Create Google APIs - diffify
{fastText} 1.0.5: Efficient Learning of Word Representations and Sentence Classification - diffify
{RobinCar2} 0.2.2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials - diffify
{clockify} 0.1.7: A Wrapper for the ‘Clockify’ API - diffify
{apache.sedona} 1.8.1: R Interface for Apache Sedona - diffify
{rworkflows} 1.0.8: Test, Document, Containerise, and Deploy R Packages - diffify
{CurricularComplexity} 1.0.1: Toolkit for Analyzing Curricular Complexity - diffify
{reptiledb.data} 0.0.0.2: Reptile Database Data - diffify
{ProAE} 1.0.4: PRO-CTCAE Scoring, Analysis, and Graphical Tools - diffify
{WayFindR} 0.7.0: Computing Graph Structures on WikiPathways - diffify
{dbparser} 2.2.1: Drugs Databases Parser - diffify
{projectLSA} 0.0.5: R Shiny Application for Latent Structure Analysis with a Graphical User Interface - diffify
{XYomics} 0.1.3: Analysis of Sex Differences in Omics Data for Complex Diseases - diffify
{verifyr2} 1.1.0: Compare and Verify File Contents - diffify
{guideR} 0.9.0: Miscellaneous Statistical Functions Used in ‘guide-R’ - diffify
{docorator} 0.5.1: Docorate (Decorate + Output) Displays - diffify
{crmPack} 2.0.2: Object-Oriented Implementation of Dose Escalation Designs - diffify
{omophub} 1.3.0: R Client for the ‘OMOPHub’ Medical Vocabulary API - diffify
{meteospain} 0.3.1: Access to Spanish Meteorological Stations Services - diffify
{logolink} 1.0.0: An Interface for Running ‘NetLogo’ Simulations - diffify
{clinpubr} 1.2.0: Clinical Publication - diffify
{transforEmotion} 0.1.7: Sentiment Analysis for Text, Image and Video using Transformer Models - diffify
{JuliaConnectoR} 1.1.5: A Functionally Oriented Interface for Integrating ‘Julia’ with R - diffify
{deps} 0.4.1: Dependency Management with ‘roxygen’-Style Comments - diffify
{TSEtools} 1.0.0: Manage Data from the Finance Markets - diffify
{thisutils} 0.3.6: Collection of Utility Functions for Data Analysis and Computing - diffify
{tidycensuskr} 0.2.7: Easy Access for South Korea Census Data and Boundaries - diffify
{text} 1.8.0: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning - diffify
{secretbase} 1.1.0: Cryptographic Hash, Extendable-Output and Binary Encoding Functions - diffify
{cheapr} 1.5.0: Simple Functions to Save Time and Memory - diffify
{shinyGovstyle} 0.1.1: Custom Gov Style Inputs for Shiny - diffify
{sdmTMB} 0.8.1: Spatial and Spatiotemporal SPDE-Based GLMMs with ‘TMB’ - diffify
{personalized} 0.2.8: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine - diffify
{lifecycle} 1.0.5: Manage the Life Cycle of your Package Functions - diffify
{gert} 2.3.0: Simple Git Client for R - diffify
{report} 0.6.3: Automated Reporting of Results and Statistical Models - diffify
{reformulas} 0.4.3.1: Machinery for Processing Random Effect Formulas - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast
Creating dashboards in blockr
[Exploring Positron settings Isabel Zimmerman & Davis Vaughan Data Science Lab](https://www.youtube.com/watch?v=QIYyeuZ_ISY)
Build Model Context Protocol Servers and Client in R (John Coene - RPharma 2025)

R Project Updates

Updates from R Core:

Debugging Sensitivity to C math library and mingw-w64 v12

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

Grants & Funding

Post by @jonthegeek@fosstodon.org

View on Mastodon

Connect

Join the Data Science Learning Community

rtistry

Post by @safest_integer@mastodon.social

View on Mastodon

Quotes of the Week

This is the most elite change in #Positron, it's so calming. #rstats #python #databs

[image or embed]
— Libby Heeren (@libbyheeren.bsky.social) January 10, 2026 at 1:08 AM

Post by @coatless@mastodon.social

View on Mastodon

R Weekly 2025-W52 Festive ML, next gen R contributors, The Economist style ggplot2

2025-12-22T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Outliers in Data Analysis: Detecting Extreme Values Before Modeling in R with İstanbul Airbnb Data

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{shinyfilters} 0.2.0 - Use Shiny Inputs on Vectors, data.frames, or any R Object
{readmit} 0.0.1: Tools for Working with Hospital Readmissions Data
{ukc19} 0.0.3: Datasets from the UK COVID-19 Outbreak
{havel} 0.1.2: Visualize and Tabulate ‘R’ Package Dependencies
{waysign} 0.1.0: Multi-Purpose and High-Performance Routing
{insetplot} 1.3.0: Inset Plots for Spatial Data Visualization

Updated Packages

🔍 Search on R-universe 🔍

dang 0.0.17: New Features, Plus Maintenance
RcppArmadillo 15.2.3-1 on CRAN: Upstream Update
{tidyr} 1.3.2: Tidy Messy Data - diffify
{knitr} 1.51: A General-Purpose Package for Dynamic Report Generation in R - diffify
{futureverse} 0.1.1: Install ‘Futureverse’ in One Go - diffify
{e1071} 1.7-17: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien - diffify
{dbscan} 1.2.4: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms - diffify
{modeltime} 1.3.3: The Tidymodels Extension for Time Series Modeling - diffify
{PMwR} 1.2-0: Portfolio Management with R - diffify
{fImport} 4052.89: Rmetrics - Importing Economic and Financial Data - diffify
{selectr} 0.5-1: Translate CSS Selectors to XPath Expressions - diffify
{impectR} 2.5.3: Access Data from the ‘Impect’ API - diffify
{nhlscraper} 0.4.1: Scraper for National Hockey League Data - diffify
{ggsci} 4.2.0: Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’ - diffify
{mindr} 1.4.1: Generate Mind Maps - diffify
{ganttify} 0.1.8: Create Interactive Gantt Charts with Work Breakdown Structure - diffify

Videos and Podcasts

Shiny Apps

AssociationExplorer: A user-friendly shiny application for exploring associations and visual patterns

R Internationally

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

I've always liked making bubbles in generative art 🫧🎨 #rtistry #ggplot2

[image or embed]
— Calle Börstell (@cborstell.bsky.social) December 4, 2025 at 4:54 AM

Post by @safest_integer@mastodon.social

View on Mastodon

Quotes of the Week

This lo-res, firefly-ridden render of Brasil's power transmission lines (osm and derived) took hours. Turns out even with Tyler's amazing optimizations, I can still bring the rendering process to a crawl. To be fair, it's over 150k lines. #rayshader adventures, an #rstats tale pic.twitter.com/HPZsfNgN8T
— terence (@researchremora) November 27, 2025

R climbs back up into the top ten programming languages https://flowingdata.com/2025/12/19/r-climbs-back-up-into-the-top-ten-programming-languages/ #rstats #datascience

[image or embed]
— The R Data Scientist (@rstats.blaze.email) December 20, 2025 at 6:05 AM

R Weekly 2025-W51 data visualisation, assess usage of your package, mutagen

2025-12-15T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

My year in data visualisation
How to Assess Usage of your Package
{mutagen} 0.5.0: Extensions to dplyr’s mutate

Insights

Running r-ci with R-devel

R in the Real World

R in Academia

Tutorials

New Packages

CRAN

📦 Keep up to date wtih CRANberries 📦

convergenceDFM - Tools for diagnosing convergence in Dynamic Factor Models (DFM). (GitHub). This library evaluates variable convergence by integrating DFM with Factor Ornstein-Uhlenbeck linear processes.
valueprhr - A comprehensive econometric toolkit for analyzing the empirical relationship between direct prices (labor values), prices of production, and market prices. (GitHub)
topologyR - Topological Connectivity Analysis for Numeric Data. (GitHub). Implements topological data analysis methods based on graph-theoretic approaches to discover structures in numerical data.
EconCausal - Causal Analysis for Macroeconomic Time Series. (GitHub). A comprehensive suite for causal inference emphasizing temporal stability validation.
BayesianDisaggregation - Bayesian Methods for Economic Data Disaggregation. (GitHub). This package provides a framework for relating information at incompatible levels of granularity (e.g., disaggregating national indices to sectors) using uncertain proxies.
{yaml12} 0.1.0: Fast ‘YAML’ 1.2 Parser and Formatter
{AdaptiveBoxplot} 0.1.1: FDR(BH) Boxplot and FWER(Holm) Boxplot
{aNCA} 0.1.0: (Pre-)Clinical NCA in a Dynamic Shiny App
{distplyr} 0.2.0: Manipulate and Combine Probability Distributions
{charisma} 1.0.0: Reproducible Color Characterization of Digital Images for Biological Studies

GitHub or Bitbucket

{mutagen} 0.5.0: Extensions to dplyr’s mutate
{quartify} - R package that automatically converts R scripts into Quarto markdown documents and can directly render them to HTML. It also integrates lintr and styler for code quality, and provides a web app to test and preview the conversion in your browser.
{tidytab} 0.2.0: Create tidyverse-friendly tables of frequencies

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.1.1: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
{vetiver} 0.2.7: Version, Share, Deploy, and Monitor Models - diffify
{tidypredict} 1.0.1: Run Predictions Inside the Database - diffify
{rde} 0.1.1: Reproducible Data Embedding - diffify
{plumber} 1.3.1: An API Generator for R - diffify
{pubchem.bio} 1.0.3: Biologically Informed Metabolomic Libraries from ‘PubChem’ - diffify
{maptiles} 0.11.0: Download and Display Map Tiles - diffify
{Bchron} 4.7.8: Age-Depth Radiocarbon Modelling - diffify
{SeuratObject} 5.3.0: Data Structures for Single Cell Data - diffify
{geoflow} 1.1.0: Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @aRtsy_package@mastodon.social

View on Mastodon

Quotes of the Week

I am still and always After so many and so many years That child who pulls on a string In pursuit of the wind… Philippe Soupault Love Is In The Air (Flower Thrower) - Banksy 2013

[image or embed]
— TRAstonDrs (@castltrastondrs.bsky.social) December 10, 2025 at 7:13 AM

R Weekly 2025-W50 New AI Newsletter, Test Set on Youtube, Haskell for Data Science

2025-12-08T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

Insights

LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R

R in the Real World

R Consortium announces JD Long as keynote speaker for R!sk 2026

R in Organizations

R in Academia

New Preprint: Model Checking for Vector Autoregressive Models

Tutorials

New Packages

📦 Keep up to date wtih CRANberries 📦

October 2025 Top 40 New CRAN Packages

Updated Packages

🔍 Search on R-universe 🔍

Videos and Podcasts

R Internationally

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG):

R Contributor Office Hours, Thursday December 11: 10:00-11:00 UTC (EMEA) or 12:00-13:00 PST (AMER), or Friday December 12: 15:00-16:00 UTC+13 (APAC). R core developer Paul Murrell will be joining the AMER and APAC office hours.
R Dev Day @ New Zealand 2025, Auckland or Online. Stream 1, NZ / Americas: 09:00-12:00 UTC+13. Stream 2, NZ / Asia-Pacific: 15:00-18:00 UTC+13. Deadline end of day Monday December 8, 2025, anywhere on earth.

Upcoming Events in 3 Months

Events in 3 Months:

Datasets

Introducing openESM: A database of openly available experience sampling datasets including R/Python interface

Connect

Join the Data Science Learning Community

rtistry

Post by @tylermorganwall@fosstodon.org

View on Mastodon

Quotes of the Week

Post by @jonthegeek@fosstodon.org

View on Mastodon

R Weekly 2025-W49 Custom GPS, testing, Tribal Councils

2025-12-01T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Colin Fay, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Tutorials

Guides for migrating to Positron

New Packages

📦 Keep up to date wtih CRANberries 📦

Updated Packages

🔍 Search on R-universe 🔍

{gdalraster} 2.3.0: API bindings to GDAL (Geospatial Data Abstraction Library) - diffify
tidyCpp 0.0.8 on CRAN: Maintenance
RcppQuantuccia 0.1.3 on CRAN: Micro Maintenance
RcppArmadillo 15.2.2-1 on CRAN: Upstream Update, OpenMP Updates

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

30daymapchallenge

Wealth boundaries

Connect

Join the Data Science Learning Community

R Weekly 2025-W48 Multi-agents, linter, rbranding

2025-11-24T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

mini007 - A Lightweight Framework for Multi-Agent Orchestration in R
Jarl: just another R linter
{rbranding} 0.1.0: Manage Branding and Accessibility of R Projects

Insights

R in the Real World

Acidification

R in Organizations

mini007 - A Lightweight Framework for Multi-Agent Orchestration in R

R in Academia

Tutorials

Sparkle & Atmosphere: Bringing Your R Dashboards to Life

Resources

#055: More Frequent r2u Updates

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

Introducing {geodl}: An R package for geospatial semantic segmentation
Jarl: just another R linter
{rbranding} 0.1.0: Manage Branding and Accessibility of R Projects
{igfetchr} 0.1.0: Access the ‘IG Trading REST API’
{RastaRocket} 1.0.0: Rocket-Fast Clinical Research Reporting
{econdatasets} 0.1.0: Easily Download ‘EconDataverse’ Datasets
{evolution} 0.0.1: A Client for ‘Evolution Cloud API’
{fairGATE} 0.1.0: Fair Gated Algorithm for Targeted Equity
{privacyR} 1.0.0: Privacy-Preserving Data Anonymization
{nycOpenData} 0.1.2: Convenient Access to NYC Open Data API Endpoints

GitHub or Bitbucket

{talib}: An Interface to TA-Lib for Technical Analysis and Candlestick Pattern Recognition in R
{sparkler}: Lightweight visual engines for confetti, fireworks, and atmospheric weather in Shiny and RMarkdown.

Updated Packages

🔍 Search on R-universe 🔍

{qol} 1.1.0: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs - diffify
digest 0.6.39 on CRAN: Micro Update
{bidux} v0.3.3: Where Databases Meet Quick Decisions
{bp} 2.1.1: Blood Pressure Analysis in R - diffify
{ProTrackR2} 0.1.1: Manipulate and Play ‘ProTracker’ Modules - diffify
{RTLknitr} 1.1.1: Right to Left Dynamic Documents Using ‘knitr’ - diffify
{utility} 1.4.7: Construct, Evaluate and Plot Value and Utility Functions - diffify
{simtrial} 1.0.2: Clinical Trial Simulation - diffify
{qs2} 0.1.6: Efficient Serialization of R Objects - diffify
{shinychat} 0.3.0: Chat UI Component for ‘shiny’ - diffify
{deeptime} 2.3.0: Plotting Tools for Anyone Working in Deep Time - diffify

{gsDesign2} 1.1.7: Group Sequential Design with Non-Constant Effect - diffify
{geoarrow} 0.4.1: Extension Types for Spatial Data for Use with ‘Arrow’ - diffify
{xkcd} 0.1.0: Plotting ‘ggplot2’ Graphics in an ‘XKCD’ Style - diffify

{bidux} 0.3.3: Behavioral Insight Design: A Toolkit for Integrating Behavioral Science in UI/UX Design - diffify
{adbcsqlite} 0.21.0: ‘Arrow’ Database Connectivity (‘ADBC’) ‘SQLite’ Driver - diffify
{adbcpostgresql} 0.21.0: ‘Arrow’ Database Connectivity (‘ADBC’) ‘PostgreSQL’ Driver - diffify
{qtl} 1.72: Tools for Analyzing QTL Experiments - diffify
{nhdplusTools} 1.4.0: NHDPlus Tools - diffify
{DrugUtilisation} 1.0.5: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify

{collapse} 2.1.5: Advanced and Fast Data Transformation - diffify
{cardinalR} 1.0.1: Collection of Data Structures - diffify
{autodb} 3.2.4: Automatic Database Normalisation for Data Frames - diffify
{teal} 1.1.0: Exploratory Web Apps for Analyzing Clinical Trials Data - diffify
{dipsaus} 0.3.2: A Dipping Sauce for Data Analysis and Visualizations - diffify

Videos and Podcasts

Shiny Apps

R Project Updates

Updates from R Core:

Call for Participation

Announcing AI in Production 2026: A New Conference for AI and ML Practitioners

Upcoming Events in 3 Months

rainbowR call for abstracts is open. Closing December 1st

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @aRtsy_package@mastodon.social

View on Mastodon

Quotes of the Week

Post by @noamross@ecoevo.social

View on Mastodon

Happy Non-denominational Winter Holiday. #rstats #holidays #fashion #velvet

[image or embed]
— @statsinthewild (@statsinthewild.bsky.social) November 21, 2025 at 9:47 AM

R Weekly 2025-W47 Plots, Tables, Pipes

2025-11-17T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.

Highlight

Insights

R in Academia

Python is not a great language for data science. Part 1: The experience

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{toon} 0.0.1: Token-Oriented Object Notation (TOON)
{trendseries} 1.1.0: Extract Trends from Time Series
{deepspat} 0.3.0: Deep Compositional Spatial Models
{tidysynthesis} 0.1.2: A Common API for Synthesizing Data
{ISCAM} 1.0.0: Companion to the Book “Investigating Statistical Concepts, Applications, and Methods”
{DIVINE} 0.1.0: Curated Datasets and Tools for Epidemiological Data Analysis
{Capsule} 0.2.0: Comprehensive Reproducibility Framework for R and Bioinformatics Analysis
{hdf5lib} 1.14.6.4: Headers and Static Libraries for ‘HDF5’
{tsg} 0.1.0: Generate Publication-Ready Statistical Tables
{shinyOAuth} 0.1.3: Provider-Agnostic OAuth Authentication for ‘shiny’ Applications
{shinyfa} 0.0.1: Analyze the File Contents of ‘shiny’ Directories
{funviewR} 0.1.0: Visualize Function Call Dependencies in R Source Code

GitHub or Bitbucket

{RmlxStats} - Statistical modelling front-ends that run on Apple GPU hardware via the Rmlx array library.
side::kick(), a coding agent for RStudio
{mutagen} 0.4.0: Extensions to dplyr’s mutate

Updated Packages

🔍 Search on R-universe 🔍

digest 0.6.38 on CRAN: Several Updates
duckdb-mlpack 0.0.4: Added random forest and logistic regression
thatthat 0.3.0
{testthat} 3.3.0: Unit Testing for R - diffify
{testdat} 0.4.4: Data Unit Testing for R - diffify
{plotrix} 3.8-13: Various Plotting Functions - diffify
{reticulate} 1.44.1: Interface to ‘Python’ - diffify
{powertools} 1.0.0: Power and Sample Size Tools - diffify
{countdown} 0.6.0: A Countdown Timer for HTML Presentations, Documents, and Web Apps - diffify
{officer} 0.7.1: Manipulation of Microsoft Word and PowerPoint Documents - diffify
{nflplotR} 1.6.0: NFL Logo Plots in ‘ggplot2’ and ‘gt’ - diffify
{slider} 0.3.3: Sliding Window Functions - diffify
{S7} 0.2.1: An Object Oriented System Meant to Become a Successor to S3 and S4 - diffify
{froggeR} 0.6.0: Enhance ‘Quarto’ Project Workflows and Standards - diffify
{validate} 1.1.6: Data Validation Infrastructure - diffify
{lobstr} 1.1.3: Visualize R Data Structures with Trees - diffify
{gggenomes} 1.1.2: A Grammar of Graphics for Comparative Genomics - diffify
{aRxiv} 0.14: Interface to the arXiv API - diffify
{datacutr} 0.2.4: SDTM Datacut - diffify
{ggplot2} 4.0.1: Create Elegant Data Visualisations Using the Grammar of Graphics - diffify
{rgl} 1.3.31: 3D Visualization Using OpenGL - diffify
{downlit} 0.4.5: Syntax Highlighting and Automatic Linking - diffify
{BiocManager} 1.30.27: Access the Bioconductor Project Package Repository - diffify
{cookiemonster} 0.0.5: Your Friendly Solution to Managing Browser Cookies - diffify
{learnr} 0.11.6: Interactive Tutorials for R - diffify
{multidplyr} 0.1.4: A Multi-Process ‘dplyr’ Backend - diffify
{datetoiso} 1.0.0: Convert and Impute Dates to ISO Standard (“International Organization for Standardization”) - diffify
{rmake} 1.2.1: Makefile Generator for R Analytical Projects - diffify
{digest} 0.6.38: Create Compact Hash Digests of R Objects - diffify
{reshape2} 1.4.5: Flexibly Reshape Data: A Reboot of the Reshape Package - diffify
{container} 1.1.0: Extending Base ‘R’ Lists - diffify
{sqltargets} 0.3.0: ‘Targets’ Extension for ‘SQL’ Queries - diffify
{tugboat} 0.1.5: Build a Docker Image from a Directory or Project - diffify
{shinyOAuth} 0.1.3: Provider-Agnostic OAuth Authentication for ‘shiny’ Applications - diffify
{gsl} 2.1-9: Wrapper for the Gnu Scientific Library - diffify
{sf} 1.0-22: Simple Features for R - diffify
{RSQLite} 2.4.4: SQLite Interface for R - diffify
{tidyseurat} 0.8.7: Brings Seurat to the Tidyverse - diffify
{rbedrock} 0.4.2: Analysis and Manipulation of Data from Minecraft Bedrock Edition - diffify

Videos and Podcasts

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

Quotes of the Weeke

Post by @safest_integer@mastodon.social

View on Mastodon

Post by @kamapu@social.cologne

View on Mastodon

R Weekly 2025-W46 Custom ggplot2 geoms, data.table, NYC election

2025-11-10T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

R in Academia

Computo - A journal for transparent and reproducible research in statistics and machine learning

Tutorials

Resources

Introduction to building (better) R packages

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{releaser} 1.0.0: Help with Preparing a New Version of an R Package
{brand.yml} 0.1.0: Unified Branding with a Simple YAML File
{PublicationBiasBenchmark} 0.1.0: Benchmark for Publication Bias Correction Methods
{btw} 1.0.0: A Toolkit for Connecting R and Large Language Models
{vaccinationimpact} 0.1.0: Impact Study of Vaccination Campaigns

Github

{mutagen} 0.3.0: Extensions to dplyr’s mutate

Updated Packages

🔍 Search on R-universe 🔍

{torch} 0.16.3: Tensors and Neural Networks with ‘GPU’ Acceleration - diffify
{torchvision} 0.8.0: Models, Datasets and Transformations for Images - diffify
{huxtable} 5.8.0: Easily Create and Style Tables for LaTeX, HTML and Other Formats - diffify
{stringr} 1.6.0: Simple, Consistent Wrappers for Common String Operations - diffify
{purrr} 1.2.0: Functional Programming Tools - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Call for Participation

Post by @rOpenSci@hachyderm.io

View on Mastodon

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Day 6 of the #30DayMapChallenge makes things 3D! I took my elevation map from yesterday and made it so with the {rayshader} package. #DataViz #RStats #ggplot2

[image or embed]
— Josh Persi (@joshpersi.bsky.social) 7 novembre 2025 à 02:08

Quotes of the Week

Do you teach #rstats? Do your students complain about how lame and old-fashioned dplyr is? Don't worry: I have the solution for you: github.com/hadley/genzp.... genzplyr is dplyr, but bussin fr fr no cap.

[image or embed]
— Hadley Wickham (@hadley.nz) 7 novembre 2025 à 00:25

R Weekly 2025-W45 Pledging my time, neon ghosts, bioconductor release

2025-11-04T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

Insights

R in Academia

Bioconductor 3.22 Released

Tutorials

Resources

posit::conf(2025) Quarto workshop materials

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

{tabler} 0.1.0: Create Dashboards with ‘Tabler’ and ‘Shiny’
{ganttify} 0.1.6: Create Interactive Gantt Charts with Work Breakdown Structure
{minorparties} 1.0.0: Quantitatively Analyze Minor Political Parties
{greenSD} 0.1.1: Access and Analyze Global GreenSpace Spatial Data

GitHub

{Rmlx} 0.1.0 - R interface to Apple’s mlx library for array-based computing on Apple GPUs
{mutagen} 0.2.0: Extensions to dplyr’s mutate

Updated Packages

🔍 Search on R-universe 🔍

{mcptools} 0.2.0: Model Context Protocol Servers and Clients - diffify
{maestro} 0.7.0: Orchestration of Data Pipelines - diffify
{mini007} 0.2.0: Lightweight Framework for Orchestrating Multi-Agent Large Language Models - diffify
{Cairo} 1.7-0: R Graphics Device using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output - diffify
{arrow} 22.0.0: Integration to ‘Apache’ ‘Arrow’ - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

R Project Updates

Updates from R Core:

Call for Participation

Post by @rOpenSci@hachyderm.io

View on Mastodon

Upcoming Events in 3 Months

Events in 3 Months:

Datasets

GSS Release: General Social Survey Cumulative Data (1972-2024, R2)

Connect

Join the Data Science Learning Community

rtistry

🚴 Where do bike accidents with personal injuries happen in Cologne? This map shows hotspots within 2.5 km of the city center in 2024. Each purple dot = one accident involving a bike where someone got hurt. #30DayMapChallenge | Day 01 - Points #rstats

[image or embed]
— Ansgar Wolsing (@ansgarw.bsky.social) 1 November 2025 at 20:52

It's day 2 of the #30DayMapChallenge! 🗺️ A fairly minimalist map of street *lines* in Melbourne 🦘 #DataViz #RStats #ggplot2

[image or embed]
— Nicola Rennie (@nrennie.bsky.social) 2 November 2025 at 18:15

Quotes of the Week

Me: The least-helpful workshops are often the ones given by people who just Know Too Much 🥹 Data Friend: Have you see that blog post about this? Me: No, show me! Data Friend: anniemueller.com/posts/how-i-... Me: BRB SENDING THIS TO EVERYONE I KNOW 😂 #rstats #python #databs

[image or embed]
— Libby Heeren (@libbyheeren.bsky.social) 31 October 2025 at 23:31

R Weekly 2025-W44 Mapping Antarctica, Mambo No. 5, plant communities dirichlet

2025-10-27T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Ryo Nakagawara & Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

Insights

R in the Real World

Inequality and homicide, within-country and between country by @ellis2013nz

R in Organizations

Recognition Beyond Blog Post Authors

R in Academia

Tutorials

Resources

New, work-in-progress book on spatial data visualization in R

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

partialling.out 0.2.0: Partial residuals from linear and fixed effects models
{galaxias} 0.1.1: Build Darwin Core Archives in R
{rdav} 0.1.3: Simple ‘WebDAV’ Client
{sumup} 1.0.0: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
{poseticDataAnalysis} 0.1.0: Posetic Data Analysis
{CompositionalSR} 1.0: Spatial Regression Models with Compositional Data
{tind} 0.2: A Common Representation of Time Indices of Different Types
{OmopOnSpark} 0.1.0: Using a Common Data Model on ‘Spark’
{ci} 0.0.1: Confidence Intervals for Education
{bayesQRsurvey} 0.1.4: Bayesian Quantile Regression Models for Complex Survey Data Analysis
{scf} 1.0.4: Analyzing the Survey of Consumer Finances
{NeEDS4BigData} 1.0.1: New Experimental Design Based Subsampling Methods for Big Data
{mcmodule} 1.1.0: Modular Monte Carlo Risk Analysis
{CFM} 0.6.0: Analyzing Censored Factor Models
{BRPL} 1.0.2: Methods for Bivariate Poverty Line Calculations
{alpmixBayes} 0.1.0: Bayesian Estimation for Alpha-Mixture Survival Models
{GHRmodel} 0.1.0: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
{testthatdocs} 1.0.23: Automated and Idempotent Unit Tests Documentation for Reproducible Quality Assurance
{LLMing} 1.0.0: Large Language Model (LLM) Tools for Psychological Text Analysis
{FracFixR} 1.0.0: Compositional Statistical Framework for RNA Fractionation
{EFM} 0.5.0: Elliptical Factor Models
{AgeTopicModels} 0.1.0: Inferring Age-Dependent Disease Topic from Diagnosis Data
{Rfuzzycoco} 0.1.0: Provides an R Interface to the ‘FuzzyCoCo’ C++ Library and Extends It
{paisaje} 0.1.1: Spatial and Environmental Data Tools for Landscape Ecology
{evanverse} 0.3.7: Utility Functions for Data Analysis and Visualization
{tteICE} 1.0.1: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
{SimplicialComplex} 0.1.0: Topological Data Analysis: Simplicial Complex
{rosario} 0.1.0: A Null Model Algorithm to Analyze Cyclical Data in Ecology
{faunabr} 1.0.0: Explore Catálogo Taxônomico da Fauna do Brasil Database
{epmfd} 1.1.1: Exploratory and Person/Item Misfit Diagnostics for Polytomous Data
{CortSineScore} 0.1.0: Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis
{compIndexBuilder} 1.0.0: Composite Index Builder & Analytics ‘shiny’ App
{bigPCAcpp} 0.9.0: Principal Component Analysis for ‘bigmemory’ Matrices
{funbootband} 0.2.0: Simultaneous Prediction and Confidence Bands for Time Series
{arete} 0.1: Automated REtrieval from TExt
{RPIV} 1.0.0: Residual Prediction Test for Well-Specification of Instrumental Variable Models
{lightsf} 0.1.0: A Curated Collection of Georeferenced and Spatial Datasets

Updated Packages

🔍 Search on R-universe 🔍

progressr 0.17.0: An Inclusive, Unifying API for Progress Updates - diffify
ML quacks: Combining duckdb and mlpack
qlcal 0.0.17 on CRAN: Regular Update
RcppSpdlog 0.0.23 on CRAN: New Upstream
{vntrs} 0.2.0: Variable Neighborhood Trust Region Search - diffify
{StreamCatTools} 0.9.1: ‘StreamCatTools’ - diffify
{hdtg} 0.2.2: Generate Samples from Multivariate Truncated Normal Distributions - diffify
{bskyr} 0.4.0: Interact with ‘Bluesky’ Social - diffify
{mintyr} 0.1.2: Streamlined Data Processing Tools for Genomic Selection - diffify
{reticulate} 1.44.0: Interface to ‘Python’ - diffify
{ggsci} 4.1.0: Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’ - diffify
{rtestim} 1.0.1: Estimate the Effective Reproductive Number with Trend Filtering - diffify
{tinytiger} 0.0.11: Lightweight Interface to TIGER/Line Shapefiles - diffify
{tidypopgen} 0.4.0: Tidy Population Genetics - diffify
{pracma} 2.4.6: Practical Numerical Math Functions - diffify
{tikatuwq} 0.7.2: Water Quality Assessment and Environmental Compliance in Brazil - diffify
{googleLanguageR} 0.3.1.1: Call Google’s ‘Natural Language’, ‘Cloud Translation’, ‘Cloud Speech’, and ‘Cloud Text-to-Speech’ APIs - diffify
{BAwiR} 1.4: Analysis of Basketball Data - diffify
{warbleR} 1.1.37: Streamline Bioacoustic Analysis - diffify
{unitizer} 1.4.23: Interactive R Unit Tests - diffify
{rfars} 2.0.2: Download and Analyze Crash Data - diffify
{promises} 1.4.0: Abstractions for Promise-Based Asynchronous Programming - diffify
{VSURF} 1.2.1: Variable Selection Using Random Forests - diffify
{svglite} 2.2.2: An ‘SVG’ Graphics Device - diffify
{clifford} 1.1-2: Arbitrary Dimensional Clifford Algebras - diffify
{MLE} 1.6: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions - diffify
{henna} 0.3.4: A Versatile Visualization Suite - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

[ R demo

ANOVA (One-Way)

Fisher’s, Welch’s, Bayesian, Robust

Conduct, visualise, interpret + 😉 ](https://www.youtube.com/watch?v=JDGtLG0Tceo)

What Makes a Good Data Visualization?
Explore #TidyTuesday literary prizes with Positron’s Data Explorer
Regression on Order Statistics (ROS) Use ros (NADA2) With (In) R Software

Gist & Cookbook

Positron: data explorer exports dplyr code

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG):

Announcing R Dev Day @ New Zealand 2025: Auckland University or remote (Americas / Asia-Pacific), Tue 16 - Wed 17 (NZST). Join us to work on contributions to the code, documentation and translations in base R. Free and open registration, deadline Sunday 7 December.

Call for Participation

Post by @rOpenSci@hachyderm.io

View on Mastodon

Upcoming Events in 3 Months

Events in 3 Months:

A list of R conferences and meetings
This week’s local R-User and applied stats events
Weekly R Workshops for Ukraine
Graceful Internet Packages: Thursday, 06 November 2025 15:00 UTC

Connect

Join the Data Science Learning Community

Quotes of the Week

A visualisation of forest canopy height in Shiretoko National Park, Hokkaido, two ways. Which do you prefer? I can never decide. What I can say is that Shiretoko is beautiful. And windy. And the sika are unafraid. Also, hot waterfalls.#rayshader adventures, an #rstats tale pic.twitter.com/O16SBsOzla
— terence (@researchremora) October 24, 2025

One of my favorite aspects of the R community is the hex sticker culture. To this day one of my proudest #rstats contributions was artwork for two: purrr and forcats

[image or embed]
— We Are R-Ladies (@weare.rladies.org) October 22, 2025 at 4:26 AM

I'm excited to share a new version of the Air formatter for #rstats, with support for tabular formatting! Super useful with `tibble::tribble()` calls or `data.table::fcase()`. It's currently experimental as we're looking to get feedback on the feature, so please let us know what you think.

[image or embed]
— Lionel Henry (@lionelhenry.bsky.social) October 21, 2025 at 7:34 PM

R Weekly 2025-W42 Aaaaand… they’re off!, Generative AI for Data Visualisation, and Behavior-Driven Development

2025-10-13T00:00:00+00:00

Hello and welcome to this new issue!

How to have (my) content shared by R Weekly?

This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

Insights

2025-10-10 AI Newsletter

Aaaaand… they’re off!

Mapping locations related to the Amelia Earhart disappearance by @ellis2013nz

Tutorials

Resources

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

qol 1.0.1: Powerful ‘SAS’ Inspired Concepts for more Efficient Bigger Outputs
{easyRef} 0.1.0: Easy Reference Generation for R Packages
{apathe} 0.1.0: American Psychological Association Thesis Templates for R Markdown
{unexcel} 0.1.0: Revert Excel Serial Dates Back to Intended Day.Month Numerics
{pipetime} 0.0.1: Tools to Time Pipe Operations
{rixpress} 0.10.0: Build Reproducible Analytical Pipelines with ‘Nix’
{Latamverse} 0.1.0: Latin American Data via ‘RESTful’ APIs and Curated Datasets
{FakeDataR} 0.2.2: Privacy-Preserving Synthetic Data for ‘LLM’ Workflows
{summarytabl} 0.1.0: Generate Summary Tables for Continuous, Ordinal, and Categorical Data
{healthmotionR} 0.1.0: A Comprehensive Collection of Health and Human Motion Datasets

Updated Packages

🔍 Search on R-universe 🔍

{svrep} 0.9.0: Provides tools for creating and working with survey replicate weights, extending functionality of the ‘survey’ package - diffify
{future.callr} 0.10.2: A Future Backend for Parallel Processing using ‘callr’ - diffify
RcppArmadillo 15 CRAN Transition: Offering Office Hours
xptr 1.2.0 on CRAN: New(ly Adopted) Package!
RPushbullet 0.3.5: Mostly Maintenance
{hesim} 0.5.7: Health Economic Simulation Modeling and Decision Analysis - diffify
{future.callr} 0.10.2: A Future API for Parallel Processing using ‘callr’ - diffify
{volker} 3.2.0: High-Level Functions for Tabulating, Charting and Reporting Survey Data - diffify
{survivoR} 2.3.8: Data from all Seasons of Survivor (US) TV Series in Tidy Format - diffify
{rspm} 0.7.0: ‘RStudio’ Package Manager - diffify
{Rfast} 2.1.5.2: A Collection of Efficient and Extremely Fast R Functions - diffify
{ggmapcn} 0.2.0: Customizable China Map Visualizations - diffify
{V8} 8.0.1: Embedded JavaScript and WebAssembly Engine for R - diffify
{loon.ggplot} 1.3.5: A Grammar of Interactive Graphics - diffify
{broadcast} 0.1.5.3: Broadcasted Array Operations Like ‘NumPy’ - diffify
{gtExtras} 0.6.1: Extending ‘gt’ for Beautiful HTML Tables - diffify
{datapack} 1.4.2: A Flexible Container to Transport and Manipulate Data and Associated Resources - diffify
{jsmodule} 1.6.15: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research - diffify
{redquack} 0.3.0: Transfer ‘REDCap’ Data to Database - diffify
{oysteR} 0.1.4: Scans R Projects for Vulnerable Third Party Dependencies - diffify
{matlib} 1.0.1: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics - diffify
{colorblindcheck} 1.0.4: Check Color Palettes for Problems with Color Vision Deficiency - diffify
{gtfs2gps} 2.1-3: Converting Transport Data from GTFS Format to GPS-Like Records - diffify
{escalation} 0.2.3: A Modular Approach to Dose-Finding Clinical Trials - diffify
{ggvenn} 0.1.19: Draw Venn Diagram by ‘ggplot2’ - diffify
{REDCapR} 1.6.0: Interaction Between R and REDCap - diffify
{prome} 2.0.1.9: Patient-Reported Outcome Data Analysis with Stan - diffify
{easysurv} 2.0.2: Simplify Survival Data Analysis and Model Fitting - diffify
{gglogger} 0.1.7: Track ‘ggplot2’ Calls - diffify
{ggseqplot} 0.8.8: Render Sequence Plots using ‘ggplot2’ - diffify
{sassy} 1.2.9: Makes ‘R’ Easier for Everyone - diffify
{linkeR} 0.1.3: Link Interactive Plots and Tables in ‘shiny’ Applications - diffify
{anipaths} 0.10.6: Animation of Multiple Trajectories with Uncertainty - diffify
{ggiraph} 0.9.2: Make ‘ggplot2’ Graphics Interactive - diffify
{runonce} 0.3.3: Run Once and Save Result - diffify
{timeplyr} 1.1.1: Fast Tidy Tools for Date and Date-Time Manipulation - diffify
{uscongress} 1.0.2: Fetch United States Congressional Records (1995-Present) - diffify

Videos and Podcasts

Shiny Apps

R port of llama2.c

R Project Updates

Updates from R Core:

Call for Participation

Post by @rOpenSci@hachyderm.io

View on Mastodon

Upcoming Events in 3 Months

Events in 3 Months:

Connect

Join the Data Science Learning Community

rtistry

Post by @nrennie@fosstodon.org

View on Mastodon

Post by @coolbutuseless@fosstodon.org

View on Mastodon

Quotes of the Week

Post by @jonthegeek@fosstodon.org

View on Mastodon