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LLMAgentR  

Language Model Agents in R for AI Workflows and Research
View on CRAN: Click here


Download and install LLMAgentR package within the R console
Install from CRAN:
install.packages("LLMAgentR")

Install from Github:
library("remotes")
install_github("cran/LLMAgentR")

Install by package version:
library("remotes")
install_version("LLMAgentR", "0.3.0")



Attach the package and use:
library("LLMAgentR")
Maintained by
Kwadwo Daddy Nyame Owusu Boakye
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-28
Latest Update: 2025-05-20
Description:
Provides modular, graph-based agents powered by large language models (LLMs) for intelligent task execution in R. Supports structured workflows for tasks such as forecasting, data visualization, feature engineering, data wrangling, data cleaning, 'SQL', code generation, weather reporting, and research-driven question answering. Each agent performs iterative reasoning: recommending steps, generating R code, executing, debugging, and explaining results. Includes built-in support for packages such as 'tidymodels', 'modeltime', 'plotly', 'ggplot2', and 'prophet'. Designed for analysts, developers, and teams building intelligent, reproducible AI workflows in R. Compatible with LLM providers such as 'OpenAI', 'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python package 'langagent'.
How to cite:
Kwadwo Daddy Nyame Owusu Boakye (2025). LLMAgentR: Language Model Agents in R for AI Workflows and Research. R package version 0.3.0, https://cran.r-project.org/web/packages/LLMAgentR. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.2.0 (2025-04-28 20:40), 0.2.2 (2025-04-29 12:30), 0.3.0 (2025-05-20 22:20)
Other packages that cited LLMAgentR R package
View LLMAgentR citation profile
Other R packages that LLMAgentR depends, imports, suggests or enhances
Complete documentation for LLMAgentR
Functions, R codes and Examples using the LLMAgentR R package
Full LLMAgentR package functions and examples
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