R Weekly 2025-W30 Positron Assistant, LLM-powered posit::conf guide

21 Jul 2025

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

Highlight

• Positron Assistant: GitHub Copilot and Claude-Powered Agentic Coding in R

• Your LLM-powered guide to the posit::conf(2025) agenda

Insights

• How I’m using Claude Code to write R code

• R Package Quality: Maintainer Criteria

• Positron Assistant: GitHub Copilot and Claude-Powered Agentic Coding in R

R in Academia

• Research Publications Affiliated with Luxembourg: A Data-Driven Analysis

• Tagging Bioconductor packages with EDAM

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• {chopin} 0.9.4: Spatial Parallel Computing by Hierarchical Data Partitioning

• {ggchord} 0.2.0: Multi-Sequence ‘BLAST’ Alignment Chord Diagram Visualization

• {MexicoDataAPI} 0.1.0: Access Mexican Data via APIs and Curated Datasets

• {getRad} 0.2.0: Download Radar Data for Biological Research

• {ChileDataAPI} 0.1.0: Access Chilean Data via APIs and Curated Datasets

Updated Packages

🔍 Search on R-universe 🔍

• {httr2} 1.2.0: Perform HTTP Requests and Process the Responses - diffify

• {superspreading} 0.4.0: Understand Individual-Level Variation in Infectious Disease Transmission - diffify

• {metatools} 0.2.0: Enable the Use of ‘metacore’ to Help Create and Check Dataset - diffify

• {RSQLite} 2.4.2: SQLite Interface for R - diffify

• {statnetWeb} 0.6.1: A Shiny App for Network Modeling with ‘statnet’ - diffify

• {maestro} 0.6.1: Orchestration of Data Pipelines - diffify

• {polars} 1.0.0: R Bindings for the ‘polars’ Rust Library - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Gist & Cookbook

• Tidy RAG in R with ragnar

• How to create your own RAG applications in R

Shiny Apps

• Your LLM-powered guide to the posit::conf(2025) agenda

• Testing Legacy Shiny Apps: Start with Behavior, Not Code

Tutorials

• Benchmarking memory usage in R

• How to Use with() and within() Functions in R: A Complete Guide for Cleaner Code

• Nested Forecasting: Analyzing the Relationship Between the Dollar and Stock Market Trends

• Organizing R development using srcpkgs

• Within-person factorial experiments, log(normal) reaction-time data

R Project Updates

Updates from R Core:

Call for Participation

Post by @[email protected]

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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

Quotes of the Week

Introducing my new #rstats package {kitchensink} Not sure what the right model to fit is? Should you allow random intercepts, slopes, both? What do Bayesian methods say? Just call {kitchensink::throw} to fit every possible model and see how your results differ!

— Ben Harrap (@bharrap.bsky.social) 16 July 2025 at 09:01