Package: triageR
Title: Automated Machine Learning and AI Agent Tools for Clinical
        Prediction Modelling
Version: 0.1.0
Authors@R: 
    person("Uwakmfon", "Paul", , "uwakmfon31@gmail.com", role = c("aut", "cre", "cph"))
Description: Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 <doi:10.1136/bmj-2023-078378>)) for reproducible, guideline-aligned research.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 8.0.0
URL: https://github.com/DevWebWacky/triageR
BugReports: https://github.com/DevWebWacky/triageR/issues
Suggests: knitr, missForest, mlbench, ranger, rmarkdown, spelling,
        testthat (>= 3.0.0), xgboost
Config/testthat/edition: 3
Imports: DALEX, dplyr, ellmer, ggplot2, mice, naniar, parsnip, pROC,
        quarto, recipes, tibble, tidyr, workflows, yardstick
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 00:54:44 UTC; Wacky
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-07-29 16:20:01 UTC
