chatAI4R: Interactive Artificial Intelligence toolkit for Data Science in R

---title: chatAI4R: Interactive Artificial Intelligence toolkit for Data Science in Rtags: R, artificial intelligence, large language models, data analysis, software developmentauthors: Satoshi Kume (orcid: 0000-0001-7481-2843, corresponding)affiliations: Bio"Pack"athon, Osaka, Japandate: 14 January 2026--- # Summary Large Language Models (LLMs) have revolutionized natural language processing (NLP), data mining, and program coding. The chatAI4R package provides a comprehensive toolkit for seamlessly integrating LLMs within R environments. Beyond basic text generation and conversation capabilities, it supports text embeddings and delivers sophisticated LLM assistance through simple function calls, significantly extending R-based data analysis and knowledge discovery processes. Unlike existing R packages, the chatAI4R package offers unique R package development support features. Rather than functioning as a multi-functional API wrapper, it provides comprehensive development automation and AI-assisted data mining capabilities. The package combines command-line and graphical operations, offering flexibility for users across all skill levels. Available on both GitHub and the Comprehensive R Archive Network (CRAN), chatAI4R ensures stability, reliability, and broad community accessibility. Originally a development aid for R packages since 2023, chatAI4R has evolved into a data-analysis companion by adding interpretation, knowledge extraction, and multi-LLM capabilities. It serves R package developers (automating Roxygen2 docs, function generation, code quality) and data analysts (statistical interpretation, literature processing, insight extraction) with a four-layer architecture that goes beyond multi-functional API wrappers.