Package: triageR
Title: Automated Machine Learning and AI Agent Tools for Clinical
        Prediction Modelling
Version: 0.2.0
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 8.0.0
URL: https://github.com/DevWebWacky/triageR,
        https://devwebwacky.github.io/triageR/
BugReports: https://github.com/DevWebWacky/triageR/issues
Suggests: knitr, rmarkdown, mlbench, missForest, ranger, spelling,
        testthat (>= 3.0.0), xgboost, MASS, aorsf, censored, shiny,
        bslib
Config/testthat/edition: 3
Imports: DALEX, dplyr, ellmer, ggplot2, mice, naniar, parsnip, pROC,
        quarto, recipes, survival, tibble, tidyr, workflows, yardstick
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libx11-dev zlib1g-dev
Repository: https://devwebwacky.r-universe.dev
Date/Publication: 2026-09-05 00:26:09 UTC
RemoteUrl: https://github.com/devwebwacky/triager
RemoteRef: HEAD
RemoteSha: 1f51cb1ff1625d72352962ce3451876113880e7d
NeedsCompilation: no
Packaged: 2026-10-05 07:42:21 UTC; root
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>
Depends: R (>= 4.1.0)