{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

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Quotes of the Week

R version 4.5.3 (Reassured Reassurer) #rstats

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— 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

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— Nicola Rennie (@nrennie.bsky.social) 11 March 2026 at 10:18

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