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

10 Aug 2026

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

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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

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R/Pharma 2026 Conference - Workshops run September 28 - October 1; Conference runs October 20 - 21.

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rtistry

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

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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

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