R Weekly 2025-W43 R Core Contribution, Environment management, Shiny internship

19 Oct 2026

• How to have (my) content shared by R Weekly?

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

Highlight

• How Do I Contribute to R? A Guide to Getting Involved with R Core

• {renv}, {rix}, rv, uvr, ir: An explosion of R package and environment managers

• Genomes, Prompts, and Shiny: What I Built During My Summer at Posit

Insights

• Using Just to run a subset of test files

• Introducing hal: a coding agent for R

• {renv}, {rix}, rv, uvr, ir: An explosion of R package and environment managers

• posit::glimpse() Newsletter – October 2026

• Genomes, Prompts, and Shiny: What I Built During My Summer at Posit

R in the Real World

• TidyTuesday 2026/41

R in Organizations

• Positron October Release Highlights

R in Academia

• A Bayesian Network to Explore Data Center Risks

Tutorials

• rig 0.11.0 part one: R installations

• rig 0.11.0 part two: R packages

• rig 0.11.0 part three: R projects

Resources

• A CI/CD template for R packages

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {brochure} 1.0.0 is now on CRAN

• {bones} 0.1.1: Content-Shaped Loading Placeholders for ‘shiny’ Outputs

• {retroglyph} 0.0.9: A Trusted Mini-Agent to Reconstruct Individual Patient Data from Kaplan-Meier Images

• dasklyr - dplyr front-end for Dask (dask_connect / copy_to / collect via reticulate). GitHub

• {ertte} 0.1.1: Exposure-Response Tools for Time-to-Event Models

• {doubletrs} 0.1.0: Memory-Efficient Doublet Detection for Single-Cell RNA Sequencing

• {VCFArrow} 0.9.0: Fast and Memory-Efficient Manipulation and Conversion of VCF Files

• {treehunt} 0.0.2: Evolutionary Search for Optimal Node Combinations in Trees

• {SynthesizerPlus} 0.2.9: Synthetic Data Generation with Copulas, Evaluation and Multi-Format I/O

• {RTFBoost} 0.1.0: Robust Tree-Based Boosting for Functional Regression

• {modelname} 0.1.0: Parse AI Model Names into Vendor, Family and Version

• {knitroff} 0.1.0: Dynamic Reports in ‘troff’ with ‘knitr’

• {fvfmR} 1.0.0: Chlorophyll Fluorescence (Fv/Fm) Analysis of Leaf Disc Images

• {ClimateAnomaly} 1.0.0: Rainfall and Temperature Anomaly Indices for Climate Analysis

• {actiplot} 0.1.0: Plotting Minute-Level Activity Data

• {zukomp} 0.1.0: Portable Byte Compression with a Pluggable Codec Registry

• {zucsv} 0.1.0: Read CSV Files Using the ‘zsv’ Parser

• {rladybugdb} 0.4.4: R Interface to the ‘LadybugDB’ Embedded Graph Database

• {networkformat} 0.1.2: Convert R Objects to Network Edgelists and Nodelists

• {localdatasus} 0.2.0: Neighborhood-Level Data from Brazil’s Unified Health System

• {ellmercodex} 0.2.0: ‘ChatGPT’ Plan Provider for ‘ellmer’

• {lillardhaz} 1.0.0: Simultaneous-Equations Hazard/Probit Models with a Gaussian-Copula Correlation

• {reactives} 0.1.0: Keyed Collections of ‘shiny’ Reactives

• {CoopPostman} 0.1.0: Optimal Routing and Cost Allocation for the Chinese Postman Game

• {writeLog} 0.1.0: Write Printed Output of R Objects to Log Files

• {tabby} 0.0.1: Tidy Interfaces for Tabular Deep Learning

• {simulab} 0.4.10: Simulates a Wide Variety of Data Shapes, Sizes and Distributions

• {rjsf} 0.1.0: R Interface to Jump-Switch-Flow Simulation

• {limestab} 0.1.0: Stable Local Interpretable Model-Agnostic Explanations (LIME, OptiLIME, BayLIME, ALIME)

• {dsFedAte} 0.1.0: Server-Side Treatment Effect Computation for Federated Studies

• {aradR} 0.2.0: Modern R Client and Toolkit for the Czech National Bank ARAD API

• {trialfigs} 0.1.0: Efficacy and Safety Graphics for Clinical Review Packages

• {RTrino} 0.1.0: ‘DBI’ Backend for ‘Trino’

• {ggcolonviz} 0.0.6: A ‘ggplot2’ Extension for Visualizing the Colon

• {ggaltdata} 0.1.0: Data-Driven Alternative Text and Data Tables for ‘ggplot2’ Charts

• {enviPathR} 1.0.1: Client for the ‘enviPath’ ‘RESTful’ API

• {cam2model} 0.3.0: Preprocessing Trap Camera Data for Machine Learning Models

• {publicdataau} 0.4.1: Australian Government Open Data from ‘publicdata.au’

• {jekylldown} 0.3.4: Create, Build and Serve ‘Jekyll’ Websites from ‘R Markdown’ and ‘Quarto’

• {frostlake} 0.1.0: ‘DBI’ Backend for the ‘Frostlake’ Database Engine

• {sds} 0.3.0: Spatial Data Sources

• {sampleone} 0.1.0: Survey Sampling Methods for Teaching and Practice

• {rtemis.draw} 0.5.3: Schema-Driven Interactive Charts, Network Graphs, and Maps

• {pnotp} 0.1.0: Client for the ‘PnotP’ Platform

• {GreenManureR} 0.1.0: Green Manure Decomposition, Nutrient Release and Crop Response

• {epidist} 1.0.0: Estimate Epidemiological Delay Distributions with ‘brms’

• {foresightr} 0.1.1: Forecasts Chosen by What Would Have Worked

GitHub or Bitbucket or GitLab

• ggindex - numbered points that explain themselves

Updated Packages

🔍 Search on R-universe 🔍

• Fine-tune your own model from R, starting from your documents - dragonfarm 0.4.0 writes the training data from your documents, fine-tunes a model on your own laptop, and keeps it grounded with built-in RAG. Raise your own dragon.

• RcppSimdJson 0.1.17 on CRAN: Updates

• qlcal 0.1.4 on CRAN: Fresh Upstream Updates

• RQuantLib 0.4.29 on CRAN: New QuantLib, Plus Small Fixes

• {sdmTMB} 1.1.0: Spatial and Spatiotemporal SPDE-Based GLMMs with ‘TMB’ - diffify

• {newscatcheR} 0.1.3: Programmatically Collect Normalized News from (Almost) Any Website - diffify

• {tbl.now} 1.2.0: Tidy Data and Workflow Layer for Epidemic Nowcasting - diffify

• {rambur} 0.5.6: Design and Analysis of Intertidal Chamber Experiments - diffify

• {phsopendata} 1.1.1: Extract from the Scottish Health and Social Care Open Data Platform - diffify

• {babelmixr2} 0.1.12: Use ‘nlmixr2’ to Interact with Open Source and Commercial Software - diffify

• {future.apply} 1.21.0: Apply Function to Elements in Parallel using Futures - diffify

• {coinclp} 0.1.2: R Interface to the ‘COIN-OR’ ‘Clp’ Linear Programming Solver - diffify

• {spatialrisk} 0.8.4: Spatial Concentration and Radius-Based Risk Calculations - diffify

• {sicher} 0.2.0: Runtime Type Checking - diffify

• {AMR} 3.1.0: Antimicrobial Resistance Data Analysis - diffify

• {simFastBOIN} 2.1.0: Fast Simulation of Bayesian Optimal Interval Designs for Phase I Trials - diffify

• {r4ss} 1.44.1: Compatibility Notice for Stock Synthesis Tools - diffify

• {DoseFinding} 1.4-2: Planning and Analyzing Dose Finding Experiments - diffify

• {zephyr} 0.1.4: Structured Messages and Options - diffify

• {yahoofinancer} 0.6.1: Fetch Data from Yahoo Finance API - diffify

• {Surrogate} 3.4.3: Evaluation of Surrogate Endpoints in Clinical Trials - diffify

• {specr} 1.1.0: Conducting and Visualizing Specification Curve Analyses - diffify

• {ggimage} 0.3.8: Use Images in ‘ggplot2’ - diffify

• {ethnobotanyR} 0.3.0: Ethnobotanical Analysis, Decision-Framing, and TEK Modeling - diffify

• {vistributions} 0.2.1: Visualize Probability Distributions - diffify

• {rfm} 0.5.0: Recency, Frequency and Monetary Value Analysis - diffify

• {PFIM} 8.0.1: Population Fisher Information Matrix - diffify

• {bmm} 1.4.1: Easy and Accessible Bayesian Measurement Models Using ‘brms’ - diffify

• {bayestestR} 0.20.0: Understand and Describe Bayesian Models and Posterior Distributions - diffify

• {ggDNAvis} 1.1.0: ‘ggplot2’-Based Tools for Visualising DNA Sequences and Modifications - diffify

• {tidyweather} 0.3.3: Analysis the Weather Data for Agriculture - diffify

• {Spower} 0.7: Power Analyses using Monte Carlo Simulations - diffify

• {lime} 0.5.5: Local Interpretable Model-Agnostic Explanations - diffify

• {logr} 1.4.1: Creates Log Files - diffify

• {flocker} 1.1-0: Flexible Occupancy Estimation with Stan - diffify

• {dsp} 1.7.0: Dynamic Shrinkage Process and Change Point Detection - diffify

• {future} 1.80.0: Unified Parallel and Distributed Processing in R for Everyone - diffify

• {shinyGovstyle} 0.3.0: Custom Gov Style Inputs for Shiny - diffify

• {officedown} 0.4.3: Enhanced ‘R Markdown’ Format for ‘Word’ and ‘PowerPoint’ - diffify

• {rfacebookstat} 2.17.0: Load Data from Facebook API Marketing - diffify

• {gdtools} 0.5.2: Font Metrics and Font Management Utilities for R Graphics - diffify

• {collegeScorecard} 0.3.0: US College Scorecard Data - diffify

• {parameters} 0.30.0: Processing of Model Parameters - diffify

• {JMbayes2} 0.6-5: Extended Joint Models for Longitudinal and Time-to-Event Data - diffify

• {PredPsych} 0.6: Predictive Approaches in Psychology - diffify

• {eVCGsampler} 1.2.0: VCG Sampling using Energy-Based Covariate Balancing - diffify

• {FeNEU} 3.0.3: Routines for Evaluating Forest Inventory Data - diffify

• {semPower} 2.2.0: Power Analyses for SEM - diffify

• {multiplex} 4.2: Algebraic Tools for the Analysis of Multiple Social Networks - diffify

• {togglr} 1.0.0: Client for the ‘Toggl Track’ API - diffify

• {maptiles} 0.13.0: Download and Display Map Tiles - diffify

• {rbmi} 1.7.0: Reference Based Multiple Imputation - diffify

• {PhytoIn} 0.2.1: Vegetation Analysis and Forest Inventory - diffify

• {DNNSIM} 0.2.1: Single-Index Neural Network for Skewed Heavy-Tailed Data - diffify

• {gt} 1.4.0: Easily Create Presentation-Ready Display Tables - diffify

• {ecr} 2.1.1.1: Evolutionary Computation in R - diffify

• {conformalForecast} 0.2.0: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting - diffify

• {FastSurvival} 1.2.0: Fast Survival Analysis and Simulation for Clinical Trials - diffify

• {roger} 1.6-0: Automated Grading of R Scripts - diffify

• {essentialstools} 0.1.8: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences - diffify

• {SemNetDictionaries} 0.3.0: Dictionaries for the ‘SemNetCleaner’ Package - diffify

• {PP} 1.0.0: Person Parameter Estimation - diffify

• {linearModel} 1.1.1: Linear Model Functions - diffify

• {officer} 0.7.7: Manipulation of Microsoft Word and PowerPoint Documents - diffify

• {dbSpatial} 0.1.3: Spatial Data Operations for Database-Backed Geometries - diffify

• {Rdune} 1.1.2: ‘Creates Color Palettes Inspired by Dune’ - diffify

• {BOLDNODE} 1.0.1: Search and Explore BOLD Data Packages Efficiently - diffify

• {bild} 1.3-0: A Package for BInary Longitudinal Data - diffify

• {AV1R} 0.1.4.1: ‘AV1’ Video Encoding for Biological Microscopy Data - diffify

• {uteals} 0.0.6: Shared Utilities to Extend the ‘teal’ Modules - diffify

• {gpuinfo} 0.2.0: Lightweight Hardware and GPU Compute Detection - diffify

• {curl} 8.1.0: A Modern and Flexible Web Client for R - diffify

• {BayesSIM} 2.0.0: Integrated Interface of Bayesian Single Index Models using ‘nimble’ - diffify

• {WaterBalanceR} 0.1.22: Calculate High Resolution Water Balance of Starch Potatoes - diffify

• {gert} 2.5.0: Simple Git Client for R - diffify

• {melodi} 1.2.0: Download Insee French Institute of Statistics Open Data - diffify

• {tidyllm} 0.7.1: Tidy Integration of Large Language Models - diffify

• {pharmaverseadam} 1.4.0: ADaM Test Data for the ‘Pharmaverse’ Family of Packages - diffify

• {pwrss} 1.3.3: Statistical Power, Sample Size, and Detectable Effect Calculations - diffify

• {matrixprofiler} 0.1.12: Matrix Profile for R - diffify

• {CoRpower} 1.0.5: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials - diffify

• {webchem} 2.0.0: Chemical Information from the Web - diffify

• {lambda.r} 1.2.6: Modeling Data with Functional Programming - diffify

• {fields} 18.0: Tools for Spatial Data - diffify

• {tidyrates} 0.0.2: Tidy Epidemiological Rates - diffify

• {Rtinycc} 0.1.16: Builds the ‘TinyCC’ Command-Line Interface and Library for ‘C’ Scripting in ‘R’ - diffify

• {RQuantLib} 0.4.29: R Interface to the ‘QuantLib’ Library - diffify

• {junco} 0.1.7: Create Common Tables and Listings Used in Clinical Trials - diffify

• {DTEAssurance} 1.3.0: Assurance Methods for Clinical Trials with a Delayed Treatment Effect - diffify

• {contfrac} 1.1-13: Continued Fractions - diffify

• {pipeflow} 0.5.0: Fast Interactive Data Analysis Pipelines - diffify

Videos and Podcasts

• How Do I Contribute to R? A Guide to Getting Involved with R Core

• nlmixr2save: Fits You Can Read, Runs You Don’t Repeat

• Listen to the R-Weekly Highlights Podcast

Shiny Apps

• {shinyglass} 0.5.0: Liquid Glass themes for Shiny

R Internationally

• Plantilla de mapa interactivo de Chile con R, Shiny y MapGL

• Guía para programar en R con inteligencia artificial

• Cargar archivos CSV más rápido en R con {arrow}

• [Más Allá del Código: muestra abierta de los proyectos de nuestros campeon(a

  e)s](https://ropensci.org/es/commcalls/mas-alla-del-codigo-2026/)

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

rtistry

A little bit of #Rtistry 🎨 #RStats #ggplot2 #GenArtClub #CreativeCoding

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— Nicola Rennie (@nrennie.bsky.social) October 14, 2026 at 4:23 PM

Quotes of the Week

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