RSS POSTS: ##
Probabilistic Time Series Cross-Validation with R package crossvalidation Converting testthat Tests to testit Bye, Stack Overflow Beyond Feasibility: Learning from FDA’s Response to WebAssembly and Container-Based Submissions Durations of wars by @ellis2013nz 15 Years of rOpenSci, and We’re Just Getting Started 🎉 New release of maplegend: version 0.6.3 Testing Legacy Shiny Apps: Start with Behavior, Not Code SFTP in Pharma: Why It Still Runs Clinical Data Transfers CDISC Standards for Open-Source Pharma Teams muttest 0.2.0: More Mutators, Better Reporting, and Parallel Execution A memory model for production async R: mirai 2.7.0 and mori 0.2.0 Positron May Release Highlights Five Things (May 15, 2026): AI is why we can’t have nice things Underutilized Claude Code Features
CRANberries UPDATED:
{rdrobust} 4.0.0 : Robust Data-Driven Statistical Inference in
Regression-Discontinuity Designs - diffify {leaflegend} 1.2.8 : Add Custom Legends to ‘leaflet’ Maps - diffify {bslib} 0.11.0 : Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ - diffify {Boruta} 10.0.0 : Wrapper Algorithm for All Relevant Feature Selection - diffify {rclsp} 1.0.0 : A Modular Two-Step Convex Optimization Estimator for Ill-Posed
Problems - diffify {aebdata} 0.1.5 : Access Data from the Atlas do Estado Brasileiro - diffify {covatest} 1.2.5 : Tests on Properties of Space-Time Covariance Functions - diffify {Require} 2.0.0 : Installing and Loading R Packages for Reproducible Workflows - diffify {psych} 2.6.5 : Procedures for Psychological, Psychometric, and Personality
Research - diffify {penetrance} 0.1.3 : Methods for Penetrance Estimation in Family-Based Studies - diffify {ABCDscores} 7.0.0 : Summary Scores of the Adolescent Brain Cognitive Development
(ABCD) Study - diffify {raretrans} 1.0.5 : Bayesian Priors for Matrix Population Models - diffify {obm} 2.1 : Interface to ‘OpenBioMaps’ Data and Services - diffify {manifestoR} 1.6.3 : Access and Process Data and Documents of the Manifesto Project - diffify {lsei} 1.3-1 : Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints - diffify {L0ggm} 0.1.0 : Smooth L0 Penalty Approximations for Gaussian Graphical Models - diffify {Characterization} 3.0.1 : Implement Descriptive Studies Using the Common Data Model - diffify {yrnd} 0.1.3 : Extracts Risk Neutral Densities of Prices, Money Market Rates
and Government Bond Yields from Interest Rates Futures Options
Prices - diffify {SomaDataIO} 6.6.1 : Input/Output ‘SomaScan’ Data - diffify {saber} 0.7.1 : Context Engineering for Large Language Model Agents - diffify {npRmpi} 0.70-2 : Parallel Nonparametric Kernel Smoothing Methods for Mixed Data
Types Using ‘MPI’ - diffify {np} 0.70-2 : Nonparametric Kernel Smoothing Methods for Mixed Data Types - diffify {llm.api} 0.1.3 : Minimal LLM Chat Interface - diffify {dvir} 3.4.1 : Disaster Victim Identification - diffify {DRR} 0.0.5 : Dimensionality Reduction via Regression - diffify {vitals} 0.3.0 : Large Language Model Evaluation - diffify {shiny2docker} 0.0.4 : Generate Dockerfiles for ‘Shiny’ Applications - diffify {msPCA} 0.3.0 : Sparse Principal Component Analysis with Multiple Principal
Components - diffify {hmetad} 0.1.2 : Fit the Meta-D’ Model of Confidence Ratings Using ‘brms’ - diffify {fastVoteR} 0.0.3 : Efficient Voting Methods for Committee Selection - diffify {EstemPMM} 0.3.2 : Polynomial Maximization Method for Non-Gaussian Regression - diffify {dados} 0.1.1 : Translate Datasets to Portuguese - diffify {lobbyR} 0.1.1 : Get Federal Lobbying Disclosures - diffify {hdcuremodels} 0.0.7 : High-Dimensional Cure Models - diffify {wARMASVp} 0.2.0 : Winsorized ARMA Estimation for Higher-Order Stochastic
Volatility Models - diffify {secsse} 3.7.0 : Several Examined and Concealed States-Dependent Speciation and
Extinction - diffify {PStrata} 1.0.1 : Principal Stratification Analysis in R - diffify {IOBR} 2.2.1 : Immune Oncology Biological Research - diffify {correspondenceTables} 1.0.2 : Creating Correspondence Tables Between Two Statistical
Classifications - diffify {binsreg} 2.0 : Binscatter Estimation and Inference - diffify {officer} 0.7.5 : Manipulation of Microsoft Word and PowerPoint Documents - diffify {crs} 0.15-43 : Categorical Regression Splines - diffify {e2tree} 1.2.0 : Explainable Ensemble Trees - diffify {decoder} 1.2.3 : Decode Coded Variables to Plain Text and the Other Way Around - diffify {jrSiCKLSNMF} 1.2.4 : Multimodal Single-Cell Omics Dimensionality Reduction - diffify {wbsd} 1.0.1 : Wild Bootstrap Size Diagnostics - diffify {BayesSUR} 2.3-2 : Bayesian Seemingly Unrelated Regression Models in
High-Dimensional Settings - diffify {tourr} 1.2.7 : Tour Methods for Multivariate Data Visualisation - diffify {RJSONIO} 2.0.5 : Serialize R Objects to JSON - diffify {measureR} 0.0.3 : Tools for Educational and Psychological Measurement - diffify {MIRDD} 0.2.3 : Diagnostic Tool by Multiple Imputation for Regression
Discontinuity Designs - diffify {hdf5lib} 2.1.1.1 : Headers and Static Libraries for ‘HDF5’ - diffify {DataSimilarity} 0.4.0 : Quantifying Similarity of Datasets and Multivariate Two- And
k-Sample Testing - diffify {sfsmisc} 1.1-24 : Utilities from ‘Seminar fuer Statistik’ ETH Zurich - diffify {cNORM} 3.5.4 : Continuous Norming - diffify {reporter} 1.4.7 : Creates Statistical Reports - diffify {scRNAstat} 0.1.1.2 : A Pipeline to Process Single Cell RNAseq Data - diffify {mnirs} 0.6.4 : Muscle Near-Infrared Spectroscopy Processing and Analysis - diffify {tspredit} 1.3.707 : Time Series Prediction with Integrated Tuning - diffify {StreamCatTools} 0.11.0 : ‘StreamCatTools’ - diffify {ThresholdROC} 2.9.6 : Optimum Threshold Estimation - diffify {sfnetworks} 0.6.6 : Tidy Geospatial Networks - diffify {rlas} 1.9.1 : Read and Write ‘las’ and ‘laz’ Binary File Formats Used for
Remote Sensing Data - diffify {lava} 1.9.1 : Latent Variable Models - diffify {FamEvent} 3.3 : Family Age-at-Onset Data Simulation and Penetrance Estimation - diffify {Xplortext} 1.6 : Statistical Analysis of Textual Data - diffify {mpactr} 0.3.2 : Correction of Preprocessed MS Data - diffify {ggtibble} 1.0.3 : Create Tibbles and Lists of ‘ggplot’ Figures for Reporting - diffify {swdpwr} 1.12 : Power Calculation for Stepped Wedge Cluster Randomized Trials - diffify {SISIR} 0.2.4 : Select Intervals Suited for Functional Regression - diffify {rqti} 1.2.1 : Create Tests According to QTI 2.1 Standard - diffify {geoBayes} 0.7.6 : Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods - diffify {BigDataStatMeth} 2.0.0 : Title: Scalable Statistical Computing with HDF5-Backed Matrices - diffify {rdlocrand} 2.0 : Local Randomization Methods for RD Designs - diffify {spBPS} 2.0-1 : Bayesian Predictive Stacking for Scalable Geospatial Transfer
Learning - diffify {SchoolDataIT} 0.2.13 : Retrieve, Harmonise and Map Open Data Regarding the Italian
School System - diffify {scholidonline} 0.1.1 : Resolution, Conversion, Linking and Metadata for Scholarly
Identifiers - diffify {psborrow2} 0.0.5.1 : Bayesian Dynamic Borrowing Analysis and Simulation - diffify {parglm} 0.1.9-1 : Parallel GLM - diffify {openssl} 2.4.1 : Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL - diffify {NAEPprimer} 1.0.2 : The NAEP Primer - diffify {muttest} 0.2.0 : Mutation Testing - diffify {moc.gapbk} 0.2.1 : Multi-Objective Clustering Algorithm Guided by a-Priori
Biological Knowledge - diffify {microeco} 2.2.0 : Microbial Community Ecology Data Analysis - diffify {imagine} 2.1.4 : IMAGing engINEs, Tools for Application of Image Filters to Data
Matrices - diffify {harbinger} 2.0.747 : A Unified Time Series Event Detection Framework - diffify {grec} 1.6.4 : Gradient-Based Recognition of Spatial Patterns in Environmental
Data - diffify {GFDsurv} 0.1.2 : Tests for Survival Data in General Factorial Designs - diffify {GenomeAdmixR} 2.1.13.2 : Simulate Admixture of Genomes - diffify {dsem} 2.0.1 : Dynamic Structural Equation Models - diffify {cgmguru} 1.0.1 : Advanced Continuous Glucose Monitoring Analysis with
High-Performance C++ Backend - diffify {badp} 0.5.0 : Bayesian Averaging for Dynamic Panels - diffify {ACEP} 0.1.1 : Análisis Computacional de Eventos de Protesta - diffify {usa} 1.0.0 : Updated US State Facts and Figures - diffify {simDAG} 1.0.0 : Simulate Data from a (Time-Dependent) Causal DAG - diffify {scf} 1.0.8 : Analyzing the Survey of Consumer Finances - diffify {Rdistance} 4.4.3 : Density and Abundance from Distance-Sampling Surveys - diffify {pdftools} 3.9.0 : Text Extraction, Rendering and Converting of PDF Documents - diffify {parsnip} 1.6.0 : A Common API to Modeling and Analysis Functions - diffify {MIMSunit} 0.11.3 : Algorithm to Compute Monitor Independent Movement Summary Unit
(MIMS-Unit) - diffify {daltoolboxdp} 1.3.737 : Deep Python Extensions for ‘daltoolbox’ - diffify {chatRater} 1.3.0 : A Tool for Rating Text/Image/Audio Stimuli via ‘LLMs’ - diffify {BayesianMCPMod} 1.3.2 : Simulate, Evaluate, and Analyze Dose Finding Trials with
Bayesian MCPMod - diffify {tabpfn} 0.2.0 : Prior-Data Fitted Network Foundational Model for Tabular Data - diffify {knobi} 1.0.0 : Known-Biomass Production Model (KBPM) - diffify {a5R} 0.4.0 : ‘A5’ Discrete Global Grid System - diffify {sensortowerR} 1.0.1 : Interface to ‘Sensor Tower’ Mobile App Intelligence API - diffify {glyrepr} 0.12.0 : Representation for Glycan Compositions and Structures - diffify {eq5dsuite} 2.0.0 : Handling and Analysing EQ-5d Data - diffify {rd2d} 0.1.0 : Estimation and Inference for Boundary Discontinuity Designs - diffify {PSpower} 2.0.0 : Sample Size and Power for Propensity Score Weighted Estimators - diffify {MTLR} 0.2.2 : Survival Prediction with Multi-Task Logistic Regression - diffify {stdReg2} 1.0.7 : Regression Standardization for Causal Inference - diffify {dockerfiler} 1.0.0 : Easy Dockerfile Creation from R - diffify {StepReg} 1.6.4 : Stepwise Regression Analysis - diffify {panelView} 1.3.1 : Visualizing Panel Data - diffify {lotri} 1.0.4 : A Simple Way to Specify Symmetric, Block Diagonal Matrices - diffify {easycensus} 1.1.4 : Quickly Find, Extract, and Marginalize U.S. Census Tables - diffify {daltoolbox} 1.3.747 : Leveraging Experiment Lines to Data Analytics - diffify {broom} 1.0.13 : Convert Statistical Objects into Tidy Tibbles - diffify {BayesSIM} 1.0.4 : Integrated Interface of Bayesian Single Index Models using
‘nimble’ - diffify {nmfkc} 0.7.3 : Non-Negative Matrix Factorization with Kernel Covariates - diffify {voice} 0.5.6 : Speaker Recognition, Voice Analysis and Mood Inference via Music
Theory - diffify {mx.api} 0.2.0 : Minimal Matrix Client-Server API - diffify {gbm3} 3.0.1 : Generalized Boosted Regression Models - diffify {rlibkriging} 1.0-0 : Kriging Models using the ‘libKriging’ Library - diffify {MFSIS} 0.3.1 : Model-Free Sure Independent Screening Procedures - diffify {harmony} 2.0.3 : Fast, Sensitive, and Accurate Integration of Single Cell Data - diffify {h3sdm} 0.1.1 : Species Distribution Modeling with H3 Grids - diffify {DTRreg} 2.4 : DTR Estimation and Inference via G-Estimation, Dynamic WOLS,
Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) - diffify {ConfMatrix} 0.2.0 : Confusion Matrix - diffify {phscs} 0.2.0 : Philippine Statistical Classification Systems - diffify {aricode} 1.1.0 : Efficient Computations of Standard Clustering Comparison
Measures - diffify {moveEZ} 1.2.0 : Animated Biplots - diffify {ggdibbler} 0.6.5 : Add Uncertainty to Data Visualisations - diffify {CohortSurvival} 1.1.1 : Estimate Survival from Common Data Model Cohorts - diffify {distantia} 2.0.3 : Advanced Toolset for Efficient Time Series Dissimilarity
Analysis - diffify {TrialSimulator} 1.18.4 : Clinical Trial Simulator - diffify {checkhelper} 1.0.0 : Deal with Check Outputs - diffify {censusapi} 0.10.0 : Retrieve Data from the Census APIs - diffify {emln} 1.2.0 : Organize, Handle, and Explore Ecological Multilayer Networks - diffify {LaMa} 2.1.1 : Fast Numerical Maximum Likelihood Estimation for Latent Markov
Models - diffify {stcos} 0.3.2 : Space-Time Change of Support - diffify {singleRcapture} 1.1.0 : Single-Source Capture-Recapture Models - diffify {mstknnclust} 1.0.0 : MST-kNN Clustering Algorithm - diffify {mosaic} 1.10.2 : Project MOSAIC Statistics and Mathematics Teaching Utilities - diffify {lrstat} 0.3.2 : Power and Sample Size Calculation for Non-Proportional Hazards
and Beyond - diffify {FastGaSP} 0.6.4 : Fast and Exact Computation of Gaussian Stochastic Process - diffify {pboost} 0.4.8 : Profile Boosting Framework for Parametric Models - diffify {xpectr} 0.4.5 : Generates Expectations for ‘testthat’ Unit Testing - diffify {wrswoR} 1.2.1 : Weighted Random Sampling without Replacement - diffify {testit} 1.0 : A Simple Package for Testing R Packages - diffify {remstimate} 3.0.0 : Optimization Frameworks for Tie-Oriented and Actor-Oriented
Relational Event Models - diffify {legendry} 0.3.0 : Extended Legends and Axes for ‘ggplot2’ - diffify {hce} 0.9.3 : Design and Analysis of Hierarchical Composite Endpoints - diffify {eam} 1.2.2 : Evidence Accumulation Models - diffify {csdb} 2026.5.13 : An Abstracted System for Easily Working with Databases with
Large Datasets - diffify {rdomains} 0.4.0 : Get the Category of Content Hosted by a Domain - diffify {EpiModel} 2.6.1 : Mathematical Modeling of Infectious Disease Dynamics - diffify {modelbpp} 0.3.0 : Model BIC Posterior Probability - diffify {wizaRdry} 0.6.8 : A Magical Framework for Collaborative & Reproducible Data
Analysis - diffify {QUALYPSO} 3.0 : Partitioning Uncertainty Components of an Incomplete Ensemble of
Climate Projections - diffify {idealstan} 1.0 : Robust Measurement with ‘Stan’ - diffify {visStatistics} 0.2.0 : Automated Selection and Visualisation of Statistical Hypothesis
Tests - diffify {trackopt} 0.1.1 : Track Numerical Optimization - diffify {tibblify} 0.4.1 : Rectangle Nested Lists - diffify {SynergyLMM} 1.1.3 : Statistical Framework for in Vivo Drug Combination Studies - diffify {SASmixed} 1.0-5 : Data Sets from “SAS System for Mixed Models - diffify {opencis} 0.1.1 : Import Data from Spanish Sociological Research Center (CIS) - diffify {medrxivr} 0.1.4 : Access and Search MedRxiv and BioRxiv Preprint Data - diffify {ggerror} 1.0.0 : Extended Error Geoms for ‘ggplot2’ - diffify {EL} 1.4 : Two-Sample Empirical Likelihood - diffify {dsp} 1.4.0 : Dynamic Shrinkage Process and Change Point Detection - diffify {caretSDM} 1.8.3 : Build Species Distribution Modeling using ‘caret’ - diffify {ASRgenomics} 1.1.6 : Complementary Genomic Functions - diffify {HistogramTools} 0.4.1 : Utility Functions for R Histograms - diffify {Rpdb} 2.4.5 : Read, Write, Visualize and Manipulate PDB Files - diffify {nemsqar} 1.2.0 : National Emergency Medical Service Quality Alliance Measure
Calculations - diffify {RCarb} 0.1.8 : Dose Rate Modelling of Carbonate-Rich Samples - diffify {GapAnalysis} 2.0.2 : Conservation Indicators Using Spatial Information - diffify {tidyfinance} 0.5.0 : Tidy Finance Helper Functions - diffify {prim} 1.0.23 : Patient Rule Induction Method (PRIM) - diffify {MD2sample} 1.2.1 : Various Methods for the Two Sample Problem in D>1 Dimensions - diffify {cdom} 0.1.1 : R Functions to Model CDOM Spectra - diffify {SSBtools} 1.8.7 : Algorithms and Tools for Tabular Statistics and Hierarchical
Computations - diffify {ggRandomForests} 2.7.3 : Visually Exploring Random Forests - diffify {bigrquery} 1.6.2 : An Interface to Google’s ‘BigQuery’ ‘API’ - diffify {tipse} 2.0 : Tipping Point Analysis for Survival Endpoints - diffify {stylo} 0.7.7 : Stylometric Multivariate Analyses - diffify {sdcHierarchies} 0.23.1 : Create and (Interactively) Modify Nested Hierarchies - diffify {rswipl} 10.1.7 : Embed ‘SWI’-‘Prolog’ - diffify {PowRPriori} 0.2.0 : Power Analysis via Data Simulation for (Generalized) Linear
Mixed Effects Models - diffify {ggmatplot} 0.1.3 : Plot Columns of Two Matrices Against Each Other Using ‘ggplot2’ - diffify {timeperiodsR} 0.7.7 : Simple Definition Of Time Intervals - diffify {ILORA} 0.1.2 : Indian Alien Flora Information Database Retrieval - diffify
CRANberries NEW:
{treeSS} 0.1.44 : Tree-Spatial Scan Statistic for Cluster Detection{statMatchLCM} 1.2 : Statistical Matching Using Latent Class Models{nudibranch} 0.0.1.1 : Colour Palettes Inspired by Sea Slugs and Nudibranchs of Sydney{mighty.metadata} 0.1.0 : Manage ‘CDISC’ ‘ADaM’ Dataset Specifications in ‘YAML’ Format{metANN} 0.1.0 : Metaheuristic and Gradient-Based Optimization for Neural Network
Training and Continuous Problems{mcqAnalysis} 0.1.0 : Classical Test Theory Item Analysis for Multiple-Choice Tests{islandcodes} 0.1.1 : Reference Data and Helpers for Small Island States and
Territories{HausdorffGoF} 0.3.0 : One- And Two-Sample Hausdorff Goodness-of-Fit Test{sssvcqr} 0.0.4 : Sparse-Smooth Spatially Varying Coefficient Quantile Regression{oystermapR} 1.4.0 : Predict and Map Oyster Growth Suitability from Environmental
Data{coupling} 0.1 : Analysis of Coupling Coordination Degree{symTensor} 0.1.0 : Symmetric Matrix and Tensor Decomposition{solvency2rfr} 0.1.0 : ‘EIOPA’ Risk-Free Interest Rate Term Structures for Solvency II{OLSengine} 1.0.0 : Transparent and Assisted Linear Modeling Engine{marsruntime} 0.0.0 : Portable Mars Runtime Replay{aieconindex} 0.1.0 : Access the ‘Anthropic Economic Index’ Dataset{QsRutils} 0.2.1 : R Functions Useful for Community Ecology{inough} 0.1.0 : Inattention Detection Pipeline for Psychophysical Tasks{html2pdfR} 0.1.0 : Convert Local ‘HTML’ and ‘XHTML’ Files to ‘PDF’{geoDeltaAudit} 0.1.0 : Quantifying Variable Change Induced by Administrative Boundary
Transformations{boids4R} 0.3.1 : Reynolds-Style Boids and Swarm Simulation{BagWhiskerPlot} 0.1.0 : Bag-and-Whisker Plot{bootmlm} 0.1.1 : Bootstrap Resampling for Multilevel Models{splikit} 2.3.1 : Analysing RNA Splicing in Single-Cell RNA Sequencing Data{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{BayesPocket} 0.1.0 : Bayesian Causal Inference for Periodontal Diseases in
Longitudinal Studies{tscv} 1.0.0 : Functions and Utilities for Tidy Time Series Forecasting and
Time Series Cross-Validation{R.ComDim} 1.0.0 : Common Dimensions (ComDim) Multi-Block Analysis{psgc} 0.1.0 : Philippine Standard Geographic Code{pkmapr} 1.2.1 : Pakistan Spatial Data Toolkit{parasiteR} 1.0 : A Theorical-Practical Approach to Parasitological Data Analysis{otTensor} 0.99.0 : Optimal Tensor Transport{openNCAI} 0.1.0 : Calculates a Natural Capital Assets Index{hydroeval} 0.1.0 : Hydrological Evaluation Metrics and Goodness-of-Fit Summaries{featdelta} 0.1.0 : Incremental Feature Engineering with Database Persistence{curriculr} 0.3.0 : Data-Driven CVs with ‘Quarto’ and ‘Typst’{vitopack} 0.1.1 : Actuarial Helpers for Triangles, Exposures and Czech Birth
Numbers{nativeORT} 0.1.2 : Native ‘R’ ‘ONNX’ Runtime{mwmap} 1.0.0 : Create Maps of Malawi Administrative Boundaries{MetaHunt} 0.1.0 : Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting{mcdabench} 1.1.1 : Benchmarking for Multi-Criteria Decision Analysis{genproc} 0.2.0 : Robust, Logged and Reproducible Iteration at Organizational
Scale{ExtremeCI} 0.2.1 : Realistic Confidence Intervals for Non-Stationary Extreme Value
Statistics{certify} 0.1.0 : Generate Branded PDF Certificates{bacontrees} 1.0.0 : Bayesian Context Trees for Discrete Sequence Data{AIDA} 0.1.5 : Analysis of Interval DAta{accelEE} 0.3.1 : Predict Energy Expenditure from Accelerometer Data{mfclim} 0.1.1 : Download Archived Meteorological Data from ‘Meteo-France’{metalcor} 1.0.0 : Meta-Analysis of Correlated Genetic Association Studies{fpod} 1.0.1 : Read and Process ‘FPOD’ and ‘CPOD’ Data{easytable} 2.1.1 : Create Multi-Format Regression Tables{dist.structure} 0.5.0 : Structured Random Variables for Reliability System Distributions{datamuseum} 0.1.0 : Spatial and Taxonomic Data Utilities for Specimen Datasets{terralink} 1.8.0 : Connectivity Corridor Optimization for Raster and Vector Data{mrPStrata} 0.1.0 : Multiply Robust Estimation in Causal Survival Analysis with
Treatment Noncompliance{ModalForecast} 0.1.0 : Parametric Modal ARIMA Models using the SKD Family{stepssurvey} 0.1.0 : Analyse WHO STEPS Survey Data{spatialRegroup} 0.1.0 : Iterative Spatial Regrouping of Administrative Units by
Attributive Affinity{gcomputation} 0.34 : Causal Inference by using G-Computation{gamutil} 0.8.1 : Utilities to Facilitate Modeling Routines with Generalized
Additive Models{combss} 0.1.0 : Continuous Optimisation Towards Best Subset Selection{cgvR} 0.1.2 : Interactive 3D Visualization of Large Cayley Graphs via Vulkan{warmthcompetence} 0.1.5 : Warmth and Competence Detectors{TidyPanel} 0.1.2 : Universal Messy Panel Data Cleaner{ROCsurvcomp} 0.1.2 : ROC-Based Methods for Comparing Survival Distributions with
Right, Left, and Doubly Censored Data{rankPlayedInference} 1.0 : Conditional Probability Distributions in Hearts Card Game{randomForestSGT} 1.0.0 : Random Forest Super Greedy Trees{mectx} 1.1.1 : MEchanistic Clustering - Treatment eXposure Framework{imv} 0.3 : Model Comparison via the ‘InterModel Vigorish’ (‘IMV’){curves} 0.4.0 : Model-Agnostic Response Curves for Fitted Models{contentValidity} 0.1.0 : Content Validity Indices for Instrument Development{ArvindSt} 1.0.0 : Five Novel Stochastic Regression Models with Arvind-Distributed
Errors and Effects{rvtk} 0.1.3 : Bindings for the Visualization Toolkit (‘VTK’)