Package index • triageR

All functions

tr_agent_review(): Review a clinical modelling pipeline for common pitfalls
tr_check_missing(): Check missing data in a clinical dataset
tr_explain(): Explain a clinical prediction model
tr_fit(): Fit a clinical prediction model
tr_fit_survival(): Fits a survival model using the censored/parsnip framework. The outcome must be specified as separate time and event columns (following survival::Surv() convention), and the user must explicitly choose an engine.
tr_impute(): Impute missing values in a clinical dataset
tr_launch_app(): Launch the triageR Shiny app
tr_load_clinical(): Load and standardize a clinical dataset
tr_recommend_method(): Recommend an appropriate statistical or ML method (AI agent)
tr_sensitivity(): Run an automated sensitivity analysis battery
tr_tripod_report(): Generate a TRIPOD+AI-aligned clinical model report
tr_validate(): Validate a clinical prediction model
tr_validate_survival(): Validate a clinical survival model