Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling R package triageR version 0.1.1 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. Software 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 Uwakmfon Paul <uwakmfon31@gmail.com> Comprehensive R Archive Network (CRAN) Uwakmfon Paul [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=triageR/LICENSE) 2026-08-02 application/tgz https://CRAN.R-project.org/package=triageR doi:10.32614/CRAN.package.triageR