Large Language Model tools for R
Esta guía está disponible en español Leer en español
Busca el botón de idioma en la barra de navegación en el resto de la guía para cambiar de idioma en otras páginas.
Welcome
👋 Hello! This is an ongoing roundup of useful developments in the LLM/genAI space, with a specific focus on R.
Latest updates (January 2026):
R packages
-
14 new packages! including:
- agents that plan and self-correct code (
deputy,ralphloop) - AI assistant in RStudio aware of the R environment (
side) - more tools for running local models (
localLLM,shiny.ollama) - manage prompts as code using external files (
promptmanageR) - fetch real-time web data to augment prompts (
webretrieveR) - cut inference costs by auto-routing tasks to the efficient model (
routerchainR). - generate documentation directly from your project files (
documentoR) - translate code comments or text in the IDE (
deepRstudio) - and more!
- agents that plan and self-correct code (
Other tools and extensions
- Posit Claude Skills
Interesting reads
- On the electricity use of LLM tools
For teaching purposes and to help me keep track of what’s happening, I’ve put together this draft listing of relevant LLM+R resources. This was initially a post on my blog from late 2024, but this book format should be easier to navigate. I will update the content periodically when new tools come out and/or when people bring them to my attention.
The field is very fast moving so providers, software names, APIs, and overall functions are subject to change. I’ll do my best to keep this guide updated and mention key changes and news.
The logos below link to each tool’s official site.