Package: LLMAgentR
Type: Package
Title: Language Model Agents in R for AI Workflows and Research
Version: 0.3.2
Authors@R: person(given = "Kwadwo Daddy Nyame",
                  family = "Owusu Boakye",
                  email = "kwadwo.owusuboakye@outlook.com",
                  role = c("aut", "cre"))
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
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'.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/knowusuboaky/LLMAgentR,
        https://knowusuboaky.github.io/LLMAgentR/
BugReports: https://github.com/knowusuboaky/LLMAgentR/issues
Depends: R (>= 4.1.0)
Imports: plotly, stats, utils, DBI, RSQLite, dplyr, glue, httr,
        officer, purrr, timetk, pdftools, parsnip, recipes, workflows,
        rsample, modeltime.ensemble, modeltime, xml2
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, jsonlite,
        magrittr, rlang, tidyr, ggplot2, usethis, prophet, forcats,
        kernlab, xgboost, xfun, modeltime.resample, tidymodels, tibble,
        lubridate, methods, tesseract, rvest, fastDummies, stringr
NeedsCompilation: no
Packaged: 2026-02-14 19:48:20 UTC; kwadw
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-14 20:30:02 UTC
Built: R 4.5.3; ; 2026-05-28 13:17:49 UTC; windows
