Changelog

Source: NEWS.md

triageR 0.2.0

• Added calibration plots (binned or smoothed) and Brier score to tr_validate(), closing a TRIPOD+AI reporting gap. New calibration_method argument ("binned" or "smooth").
• Calibration plot now included in tr_tripod_report() output.
• Added robustness handling for models with limited probability variation (e.g. tree-based models with many identical predictions).
• Added survival analysis support: tr_fit_survival() (Cox Proportional Hazards and Random Survival Forest via the censored/aorsf engines) and tr_validate_survival() (concordance index / C-index).
• Added tr_launch_app(): an interactive Shiny application for the full triageR workflow (upload data, fit and compare models, validate, explain, review, and download a TRIPOD+AI report) without writing R code.
• Fixed test suite reliability issues related to lazy-loaded survival datasets.

triageR 0.1.1

CRAN release: 2026-08-02

*PimaIndianDataset in the mlbench package was removed in the latest update, thus the vignette now uses the inbuilt MASS which still has the Pima Indian Diabetes Dataset.

triageR 0.1.0

CRAN release: 2026-07-29

• Initial development version.
• Added data layer: tr_load_clinical(), tr_check_missing(), tr_impute().
• Added model layer: tr_fit(), tr_validate(), tr_explain().
• Added agent layer: tr_recommend_method(), tr_sensitivity(), tr_agent_review().
• Added reporting layer: tr_tripod_report().