R Weekly 2026-W11 claude beeswarm rstudio
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
- Extracting the grammar of U.S. stream names
- A map that glows with the vocabulary of water
- Pacific island population pyramids (again) by @ellis2013nz
R in Organizations
R in Academia
Tutorials
- A tiny CLI weather {Rapp}ort
- Building realistic fake datasets with Pointblank
- g6R update: collapsible nodes and combos.
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
Updated Packages
▶️ 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
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