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.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | DALEX, dplyr, ellmer, ggplot2, mice, naniar, parsnip, pROC, quarto, recipes, tibble, tidyr, workflows, yardstick |
| Suggests: | knitr, rmarkdown, mlbench, missForest, ranger, spelling, testthat (≥ 3.0.0), xgboost, MASS |
| Published: | 2026-08-02 |
| DOI: | 10.32614/CRAN.package.triageR |
| Author: | Uwakmfon Paul [aut, cre, cph] |
| Maintainer: | Uwakmfon Paul <uwakmfon31 at gmail.com> |
| BugReports: | https://github.com/DevWebWacky/triageR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/DevWebWacky/triageR |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | triageR results |
| Reference manual: | triageR.html , triageR.pdf |
| Vignettes: |
Case Study: Breast Cancer Diagnosis (source, R code) Introduction to triageR (source, R code) |
| Package source: | triageR_0.1.1.tar.gz |
| Windows binaries: | r-devel: triageR_0.1.1.zip, r-release: triageR_0.1.1.zip, r-oldrel: triageR_0.1.1.zip |
| macOS binaries: | r-release (arm64): triageR_0.1.1.tgz, r-oldrel (arm64): triageR_0.1.1.tgz, r-release (x86_64): triageR_0.1.1.tgz, r-oldrel (x86_64): triageR_0.1.1.tgz |
| Old sources: | triageR archive |
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