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
