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readtextgrid now uses C++ (and ChatGPT helped)
Little useless-useful R functions – Finding substrings in number Pi
10 minutes
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Rainfall
Get Involved in the Data Science Community at our Free Meetups
Best Practices for Cleaning Data in R
R+AI: Use RAG from your database to gain insights into the R Consortium
digest 0.6.38 on CRAN: Several Updates
duckdb-mlpack 0.0.4: Added random forest and logistic regression
Distribution of p-values under the null hypothesis for discrete data by @ellis2013nz
Evaluating a New Job Market Data Feed
Create and Deploy a Python Shiny Express Application to Connect Cloud
When plotting, LLMs see what they expect to see
More Control for Your Connect Cloud Deployments
Winners of the 2025 Table Contest
What’s New in Posit Workbench 2025.09.2: Expanded AI Provider Support and Data Explorer Features
ROC Curves in Two Lines of Code
Weekly Recap (Nov 14, 2025)
Nextflow Summit 2025 Talks on YouTube
posit::conf(2025) talks on YouTube
CRANberries UPDATED:
{testdat} 0.4.4: Data Unit Testing for R - diffify
{marginaleffects} 0.31.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify
{dartR.sim} 0.71: Computer Simulations of ‘SNP’ Data - diffify
{rapr} 1.1.1: Interface to ‘Rangeland Analysis Platform’ (RAP) Products - diffify
{plotrix} 3.8-13: Various Plotting Functions - diffify
{dcurves} 0.5.1: Decision Curve Analysis for Model Evaluation - diffify
{warp} 0.2.2: Group Dates - diffify
{tidycmprsk} 1.1.1: Competing Risks Estimation - diffify
{spmodel} 0.11.1: Spatial Statistical Modeling and Prediction - diffify
{reticulate} 1.44.1: Interface to ‘Python’ - diffify
{powertools} 1.0.0: Power and Sample Size Tools - diffify
{ggseg} 1.6.7: Plotting Tool for Brain Atlases - diffify
{arulesCBA} 1.2.9: Classification Based on Association Rules - diffify
{tidylda} 0.0.7: Latent Dirichlet Allocation Using ‘tidyverse’ Conventions - diffify
{readr} 2.1.6: Read Rectangular Text Data - diffify
{liver} 1.25: Toolkit and Datasets for Data Science - diffify
{HDShOP} 0.1.7: High-Dimensional Shrinkage Optimal Portfolios - diffify
{prism} 0.3.0: Access Data from the Oregon State Prism Climate Project - diffify
{mlflow} 3.6.0: Interface to ‘MLflow’ - diffify
{countdown} 0.6.0: A Countdown Timer for HTML Presentations, Documents, and Web Apps - diffify
{SIAtools} 0.1.4: ‘ShinyItemAnalysis’ Modules Development Toolkit - 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
{growfunctions} 0.17: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data - diffify
{dda} 0.1.1: Direction Dependence Analysis - diffify
{clustcurv} 3.0.0: Determining Groups in Multiples Curves - 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
{justifier} 0.2.8: Human and Machine-Readable Justifications and Justified Decisions Based on ‘YAML’ - diffify
{froggeR} 0.6.0: Enhance ‘Quarto’ Project Workflows and Standards - diffify
{BHSBVAR} 3.1.3: Structural Bayesian Vector Autoregression Models - diffify
{adas.utils} 1.3.0: Design of Experiments and Factorial Plans Utilities - diffify
{NCA} 4.0.4: Necessary Condition Analysis - diffify
{islasso} 1.6.1: The Induced Smoothed Lasso - diffify
{validate} 1.1.6: Data Validation Infrastructure - diffify
{RJSDMX} 3.8-0: R Interface to SDMX Web Services - diffify
{PBSddesolve} 1.13.7: Solver for Delay Differential Equations - diffify
{locpol} 0.9.0: Kernel Local Polynomial Regression - diffify
{lobstr} 1.1.3: Visualize R Data Structures with Trees - diffify
{GPGame} 1.2.1: Solving Complex Game Problems using Gaussian Processes - diffify
{gggenomes} 1.1.2: A Grammar of Graphics for Comparative Genomics - diffify
{DLFM} 0.1.1: Distributed Laplace Factor Model - diffify
{CSTools} 5.3.0: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales - diffify
{aRxiv} 0.14: Interface to the arXiv API - diffify
{pqrfe} 1.2: Penalized Quantile Regression with Fixed Effects - 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
{rBayesianOptimization} 1.2.2: Bayesian Optimization of Hyperparameters - diffify
{downlit} 0.4.5: Syntax Highlighting and Automatic Linking - diffify
{BiocManager} 1.30.27: Access the Bioconductor Project Package Repository - diffify
{epiworldR} 0.10.0.0: Fast Agent-Based Epi Models - diffify
{gimme} 0.9.3: Group Iterative Multiple Model Estimation - diffify
{EFM} 1.3.0: Elliptical Factor Models - diffify
{CFM} 0.7.0: Analyzing Censored Factor Models - diffify
{turkeyelections} 0.1.3: The Most Comprehensive R Package for Turkish Election Results - diffify
{rdav} 0.2.2: Simple ‘WebDAV’ Client - diffify
{SimInf} 10.0.0: A Framework for Data-Driven Stochastic Disease Spread Simulations - diffify
{mpathsenser} 1.2.4: Process and Analyse Data from m-Path Sense - diffify
{T4transport} 0.1.5: Tools for Computational Optimal Transport - diffify
{psc} 2.0.0: Personalised Synthetic Controls - diffify
{plm} 2.6-7: Linear Models for Panel Data - diffify
{lavinteract} 0.3.4: Post-Estimation Utilities for ‘lavaan’ Fitted Models - diffify
{ggsmc} 0.2.0: Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods - diffify
{extraSuperpower} 1.6.1: Power Calculation for Two-Way Factorial Designs - diffify
{examly} 0.1.2: Statistical Metrics and Reporting Tool - diffify
{cookiemonster} 0.0.5: Your Friendly Solution to Managing Browser Cookies - diffify
{testthat} 3.3.0: Unit Testing for R - diffify
{gridify} 0.7.5: Enrich Figures and Tables with Custom Headers and Footers and More - diffify
{rgbif} 3.8.4: Interface to the Global Biodiversity Information Facility API - diffify
{rstpm2} 1.7.1: Smooth Survival Models, Including Generalized Survival Models - diffify
{learnr} 0.11.6: Interactive Tutorials for R - diffify
{bioacoustics} 0.2.10: Analyse Audio Recordings and Automatically Extract Animal Vocalizations - diffify
{BayesSIM} 0.1.5: Integrated Interface of Bayesian Single Index Models using ‘nimble’ - diffify
{gerda} 0.4.0: German Election Database (GERDA) - diffify
{xtdml} 0.1.9: Double Machine Learning for Static Panel Models with Fixed Effects - diffify
{scCustomize} 3.2.2: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing - diffify
{multidplyr} 0.1.4: A Multi-Process ‘dplyr’ Backend - diffify
{DiceOptim} 2.1.2: Kriging-Based Optimization for Computer Experiments - diffify
{datetoiso} 1.0.0: Convert and Impute Dates to ISO Standard (“International Organization for Standardization”) - diffify
{ConversationAlign} 0.4.0: Process Text and Compute Linguistic Alignment in Conversation Transcripts - diffify
{kernelPhil} 0.2: Kernel Smoothing Tools for Philology and Historical Dialectology - diffify
{testex} 0.2.1: Add Tests to Examples - diffify
{epizootic} 2.0.0: Spatially Explicit Population Models of Disease Transmission in Wildlife - diffify
{DER} 1.3: Income Polarization Index - diffify
{saros.base} 1.2.0: Base Tools for Semi-Automatic Reporting of Ordinary Surveys - diffify
{crt2power} 1.2.2: Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes - diffify
{PxWebApiData} 1.1.1: PX-Web Data by API - diffify
{phenology} 2025.11.12: Tools to Manage a Parametric Function that Describes Phenology and More - diffify
{DataSum} 0.1.1: Comprehensive Data Summarization for Statistical Analysis - diffify
{poems} 1.4.0: Pattern-Oriented Ensemble Modeling System - diffify
{nonparaeff} 0.5-15: Nonparametric Methods for Measuring Efficiency and Productivity - diffify
{loon.shiny} 1.0.4: Automatically Create a ‘Shiny’ App Based on Interactive ‘Loon’ Widgets - diffify
{hyper2} 3.2: The Hyperdirichlet Distribution, Mark 2 - diffify
{gginnards} 0.2.0-2: Explore the Innards of ‘ggplot2’ Objects - diffify
{CFtime} 1.7.2: Using CF-Compliant Calendars with Climate Projection Data - diffify
{tgstat} 2.3.29: Amos Tanay’s Group High Performance Statistical Utilities - diffify
{GeRnika} 1.2.0: Simulation, Visualization and Comparison of Tumor Evolution Data - diffify
{geodl} 0.3.0: Geospatial Semantic Segmentation with Torch and Terra - diffify
{CohortGenerator} 1.0.0: Cohort Generation for the OMOP Common Data Model - diffify
{stevedata} 1.8.0: Steve’s Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics - diffify
{meteospain} 0.3.0: Access to Spanish Meteorological Stations Services - diffify
{AssumpSure} 1.1.3: ‘shiny’ Application for Statistical Test Assumption Checking and Guidance - diffify
{statgenGxE} 1.0.11: Genotype by Environment (GxE) Analysis - diffify
{rmake} 1.2.1: Makefile Generator for R Analytical Projects - diffify
{digest} 0.6.38: Create Compact Hash Digests of R Objects - diffify
{TransGraph} 1.1.0: Transfer Graph Learning - diffify
{sspse} 1.1.0-6: Estimating Hidden Population Size using Respondent Driven Sampling Data - diffify
{r2resize} 2.0: In-Text Resize for Images, Tables and Fancy Resize Containers in ‘shiny’, ‘rmarkdown’ and ‘quarto’ Documents - diffify
{MMGFM} 1.2.1: Multi-Study Multi-Modality Generalized Factor Model - diffify
{treestats} 1.70.8: Phylogenetic Tree Statistics - diffify
{reshape2} 1.4.5: Flexibly Reshape Data: A Reboot of the Reshape Package - diffify
{NPCirc} 3.1.2: Nonparametric Circular Methods - diffify
{mlt} 1.7-2: Most Likely Transformations - diffify
{glcm} 1.6.6: Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs) - diffify
{shinymrp} 0.9.1: Interface for Multilevel Regression and Poststratification - diffify
{micer} 0.2.1: Map Image Classification Efficacy - diffify
{FSinR} 2.0.10: Feature Selection in R - diffify
{COMIX} 1.0.1: Coarsened Mixtures of Hierarchical Skew Kernels - diffify
{acro} 0.1.6: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs - diffify
{promor} 0.2.2: Proteomics Data Analysis and Modeling Tools - diffify
{naryn} 2.6.31: Native Access Medical Record Retriever for High Yield Analytics - diffify
{MLwrap} 0.2.3: Machine Learning Modelling for Everyone - diffify
{CopernicusMarine} 0.3.6: Search Download and Handle Data from Copernicus Marine Service Information - diffify
{G2Sd} 2.2: Grain-Size Statistics and Description of Sediment - diffify
{DAGassist} 0.2.7: Test Robustness with Directed Acyclic Graphs - diffify
{bimets} 4.1.2: Time Series and Econometric Modeling - diffify
{BayesChange} 2.1.3: Bayesian Methods for Change Points Analysis - diffify
{trajmsm} 0.1.5: Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories - diffify
{slendr} 1.3.0: A Simulation Framework for Spatiotemporal Population Genetics - diffify
{quanteda.textplots} 0.96.1: Plots for the Quantitative Analysis of Textual Data - diffify
{cvdprevent} 0.2.4: Access and Analyse Data from the ‘CVD Prevent’ API - diffify
{contingencytables} 3.1.0: Statistical Analysis of Contingency Tables - diffify
{pwr4exp} 1.0.1: Power Analysis for Research Experiments - diffify
{myTAI} 2.3.4: Evolutionary Transcriptomics - diffify
{FORTLS} 1.6.1: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes - diffify
{MAFLD} 4.0.0: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease - diffify
{quollr} 1.0.1: Visualising How Nonlinear Dimension Reduction Warps Your Data - diffify
{quadform} 0.0-4: Efficient Evaluation of Quadratic Forms - diffify
{multilevelcoda} 1.3.3: Estimate Bayesian Multilevel Models for Compositional Data - diffify
{rfriend} 2.0.0: Provides Batch Functions and Visualisation for Basic Statistical Procedures - diffify
{ProTrackR2} 0.1.0: Manipulate and Play ‘ProTracker’ Modules - diffify
{phyr} 1.1.3: Model Based Phylogenetic Analysis - diffify
{healthyAddress} 0.5.1: Convert Addresses to Standard Inputs - diffify
{gprofiler2} 0.2.4: Interface to the ‘g:Profiler’ Toolset - diffify
{fluxible} 1.3.4: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup - diffify
{DIFM} 1.0.1: Dynamic ICAR Spatiotemporal Factor Models - diffify
{BeeGUTS} 1.4.0: General Unified Threshold Model of Survival for Bees using Bayesian Inference - diffify
{varoc} 1.0.0: Value Added Receiver Operating Characteristics Curve - diffify
{xRing} 0.1.2: Identify and Measure Tree Rings on X-Ray Micro-Density Profiles - diffify
{wbids} 1.1.1: Seamless Access to World Bank International Debt Statistics (IDS) - diffify
{SLOPE} 1.2.0: Sorted L1 Penalized Estimation - diffify
{praznik} 12.0.0: Tools for Information-Based Feature Selection and Scoring - diffify
{omopgenerics} 1.3.3: Methods and Classes for the OMOP Common Data Model - diffify
{mev} 2.1: Modelling of Extreme Values - diffify
{ecotraj} 1.2.0: Ecological Trajectory Analysis - diffify
{bayesm} 3.1-7: Bayesian Inference for Marketing/Micro-Econometrics - diffify
{dcifer} 1.5.0: Genetic Relatedness Between Polyclonal Infections - diffify
{MCOE} 0.6.0: Creates New Folders and Loads Standard Practices for Monterey County Office of Education - diffify
{container} 1.1.0: Extending Base ‘R’ Lists - diffify
{sqltargets} 0.3.0: ‘Targets’ Extension for ‘SQL’ Queries - diffify
{INLAjoint} 25.11.10: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with ‘INLA’ - diffify
{rmsMD} 1.0.1: Output Results from ‘rms’ Models for Medical Journals - diffify
{riemtan} 0.2.5: Riemannian Metrics for Symmetric Positive Definite Matrices - diffify
{CIpostSelect} 0.2.2: Confidence Interval Post-Selection of Variable - diffify
{elliptic} 1.5-1: Weierstrass and Jacobi Elliptic Functions - diffify
{ubair} 1.1.1: Effects of External Conditions on Air Quality - diffify
{tugboat} 0.1.5: Build a Docker Image from a Directory or Project - diffify
{PupillometryR} 0.0.6: A Unified Pipeline for Pupillometry Data - diffify
{PartialNetwork} 1.1.2: Estimating Peer Effects Using Partial Network Data - diffify
{resourcecode} 0.5.0: Access to the ‘RESOURCECODE’ Hindcast Database - diffify
{devianLM} 1.0.5: Detecting Extremal Values in a Normal Linear Model - diffify
{SEQTaRget} 1.3.2: Sequential Trial Emulation - diffify
{rapidsplithalf} 0.6: A Fast Permutation-Based Split-Half Reliability Algorithm - diffify
{vvcanvas} 0.0.7: ‘Canvas’ LMS API Integration - diffify
{shinyOAuth} 0.1.3: Provider-Agnostic OAuth Authentication for ‘shiny’ Applications - diffify
{rebmix} 2.17.1: Finite Mixture Modeling, Clustering & Classification - diffify
{prioritizr} 8.1.0: Systematic Conservation Prioritization in R - diffify
{SEMdeep} 1.1.0: Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms - diffify
{saros} 1.6.0: Semi-Automatic Reporting of Ordinary Surveys - diffify
{gsl} 2.1-9: Wrapper for the Gnu Scientific Library - diffify
{cancerradarr} 2.1.0: Cancer RADAR Project Tool - diffify
{worldbank} 0.7.0: Client for World Banks’s ‘Indicators’ and ‘Poverty and Inequality Platform (PIP)’ APIs - diffify
{fiery} 1.4.0: A Lightweight and Flexible Web Framework - diffify
{covid19br} 1.0.0.1: Brazilian COVID-19 Pandemic Data - diffify
{ATAforecasting} 0.0.61: Automatic Time Series Analysis and Forecasting using the Ata Method - diffify
{wrswoR} 1.2.0: Weighted Random Sampling without Replacement - diffify
{sf} 1.0-22: Simple Features for R - diffify
{RSQLite} 2.4.4: SQLite Interface for R - diffify
{plotthis} 0.8.2: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
{clifford} 1.1-3: Arbitrary Dimensional Clifford Algebras - diffify
{uwot} 0.2.4: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction - diffify
{netgwas} 1.14.4: Network-Based Genome Wide Association Studies - diffify
{dipm} 1.12: Depth Importance in Precision Medicine (DIPM) Method - diffify
{cvms} 2.0.0: Cross-Validation for Model Selection - diffify
{tidyseurat} 0.8.7: Brings Seurat to the Tidyverse - diffify
{rSDR} 1.0.3.0: Robust Sufficient Dimension Reduction - diffify
{surveygraph} 1.0.0: Network Representations of Attitudes - diffify
{rbedrock} 0.4.2: Analysis and Manipulation of Data from Minecraft Bedrock Edition - diffify
CRANberries NEW:
{XYomics} 0.1.1: Analysis of Sex Differences in Omics Data for Complex Diseases
{Ssarkartrim} 1.0.0: Trimmed-k Mean Estimator
{nlmixr2autoinit} 1.0.0: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling
{gTestsPair} 0.1: New Nonparametric Tests for Multivariate Paired Data and Pair Matching
{carts} 0.1.0: Simulation-Based Assessment of Covariate Adjustment in Randomized Trials
{biostats} 1.0.0: Biostatistics and Clinical Data Analysis
{unifiedml} 0.1.0: Unified Interface for Machine Learning Models
{cld} 0.0.1: Create Compact Letter Display (CLD) for Statistical Comparisons
{transGFM} 1.0.1: Transfer Learning for Generalized Factor Models
{PSRICalc} 1.0.0: Plant Stress Response Index Calculator
{mccount} 0.1.1: Estimate Recurrent Event Burden with Competing Risks
{gkwdist} 1.0.10: Generalized Kumaraswamy Distribution Family
{epitabulate} 0.1.0: Tables for Epidemiological Analysis
{epidict} 0.1.0: Epidemiology Data Dictionaries and Random Data Generators
{GraphRankTest} 0.1: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)
{FCUSUM} 1.0.0: Fourier CUSUM Cointegration Test
{trendseries} 1.1.0: Extract Trends from Time Series
{deepspat} 0.3.0: Deep Compositional Spatial Models
{contoso} 1.1.1: Dataset of the ‘Contoso’ Company
{CircaCP} 0.1.2: Sleep and Circadian Metrics Estimation from Actigraphy Data
{PhysioIndexR} 0.1.0: Physiological and Stress Indices for Crop Evaluation
{ReliaShiny} 0.4: A ‘Shiny’ App for Reliability Analysis
{wstdiff} 1.0.0: Welch-Satterthwaite Approximation for t-Distribution Differences
{vws} 0.3.0: Vertical Weighted Strips
{tidysynthesis} 0.1.2: A Common API for Synthesizing Data
{sdstudio} 0.1.3: Companion Application for the ‘surveydown’ Survey Platform
{powerprior} 1.0.0: Conjugate Power Priors for Bayesian Analysis of Normal Data
{OmicsPrepR} 0.1.1: Unified Preprocessing Toolkit for Proteomics and Metabolomics
{MRStdCRT} 0.1.1: Model-Robust Standardization in Cluster-Randomized Trials
{ggincerta} 0.1.0: Extend ‘ggplot2’ with Layers and Scales for Spatial Uncertainty Visualization
{examly} 0.1.2: Statistical Metrics and Reporting Tool
{bigPLScox} 0.6.0: Partial Least Squares for Cox Models with Big Matrices
{baserater} 0.1.1: Base-Rate Item Evaluation and Typicality Scoring Using Large Language Models
{LEdecomp} 1.0.4: Decompose Life Expectancy by Age (and Cause)
{SelectBoost.beta} 0.4.5: Stability-Selection via Correlated Resampling for Beta-Regression Models
{ONAM} 1.0.0: Fitting Interpretable Neural Additive Models Using Orthogonalization
{ISCAM} 1.0.0: Companion to the Book “Investigating Statistical Concepts, Applications, and Methods”
{healthiar} 0.2.1: Quantify and Monetize the Burden of Disease Attributable to Exposure
{fwtraits} 1.0.0: Extract Species Ecological Parameters from Www.freshwaterecology.info
{fioRa} 0.3.4: Mass-Spectra Prediction Using the FIORA Model
{eve} 1.0: The Eigenvalues Entropy as a Classifier Evaluation Measure
{DIVINE} 0.1.0: Curated Datasets and Tools for Epidemiological Data Analysis
{Capsule} 0.2.0: Comprehensive Reproducibility Framework for R and Bioinformatics Analysis
{toon} 0.0.1: Token-Oriented Object Notation (TOON)
{tidycensuskr} 0.2.3: Easy Access for South Korea Census Data and Boundaries
{pecan} 0.1.0: Portfolio for Economic Complexity Analysis and Navigation
{hdf5lib} 1.14.6.4: Headers and Static Libraries for ‘HDF5’
{CDF} 0.1.0: Centroid Decision Forest for High-Dimensional Classification
{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
{phscs} 0.1.0: Philippine Statistical Classification Systems
{npANCOVA} 0.1.0: Nonparametric ANCOVA Methods
{funviewR} 0.1.0: Visualize Function Call Dependencies in R Source Code
{ffm} 0.1.1: Download Official Spatial Data from Germany

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CRANberries UPDATED:

CRANberries NEW: