auc_survmat             Time-Dependent AUC from a Survival-Probability
                        Matrix
benchmark               Benchmark Survival Learners (Meta Function)
benchmark_default_survlearners
                        Benchmark Multiple Survival Learners
                        (Cross-Validation Wrapper)
benchmark_tuned_survlearners
                        Benchmark Tuned Survival Learners with Nested
                        Cross-Validation
best_survlearner        Select the Best Survival Learner by a Given
                        Metric
brier                   Brier Score with IPCW for a Single Time Point
cindex_survmat          Concordance Index from a Survival-Probability
                        Matrix
compute_ale             Accumulated Local Effects (ALE) for Survival
                        Models
compute_calibration     Calibration of Survival Predictions at a Single
                        Time Point
compute_counterfactual
                        Compute individual counterfactual changes to
                        increase survival
compute_interactions    Compute Feature Interactions for Survival
                        Predictions
compute_pdp             Partial Dependence and ICE for Survival
                        Predictions
compute_shap            Compute local SHAP-like contributions for
                        survival predictions
compute_surrogate       Local Surrogate Explanation for Survival
                        Predictions (LIME-style)
compute_tree_surrogate
                        Compute Tree-Based Surrogate Model for Survival
                        Predictions
compute_varimp          Permutation variable importance for survival
                        models
cv_plot                 Boxplot of Cross-Validation Metric
                        Distributions
cv_summary              Summarize Cross-Validation Results
cv_survlearner          Cross-Validate a Survival Learner (fold-mapped
                        with 'fmapn')
cv_survmetalearner      Cross‑Validate a Stacked Survival Meta‑Learner
ece_survmat             Expected Calibration Error (ECE) at a Single
                        Time Point
fit_aalen               Fit an Additive Hazards (Aalen) Model
fit_aftgee              Fit an Accelerated Failure Time Model Using
                        Generalized Estimating Equations
fit_bart                Fit a Bayesian Additive Regression Trees (BART)
                        Survival Model
fit_blackboost          Fit a Componentwise Gradient Boosted Cox Model
                        (blackboost)
fit_bnnsurv             Fit a kNN–Ensemble Survival Model (bnnSurvival)
fit_cforest             Fit a Conditional Inference Survival Forest
fit_coxboost            Fit a CoxBoost Survival Model
                        (mlsurv_model-compatible)
fit_coxph               Fit a Cox Proportional Hazards Model
fit_flexsurvreg         Fit a Parametric Survival Regression Model
                        Using flexsurvreg
fit_glmnet              Fit a Penalized Cox Proportional Hazards Model
                        (glmnet)
fit_orsf                Fit an Oblique Random Survival Forest (ORSF)
                        Model
fit_ranger              Fit a Survival Random Forest Model Using ranger
fit_rpart               Fit a Survival Tree Model using 'rpart'
fit_rsf                 Fit a Random Survival Forest (RSF) Model
fit_selectcox           Fit a Predictor-Selection Cox Model
                        (pec::selectCox, mlsurv_model-compatible)
fit_stpm2               Fit a Flexible Parametric Survival Model
                        (rstpm2, mlsurv_model-compatible)
fit_survdnn             Fit a Deep Neural Network Survival Model
                        (mlsurv_model-compatible)
fit_survmetalearner     Fit a Stacked Survival Meta‑Learner
                        (Time‑Varying NNLS)
fit_survsvm             Fit a Survival SVM Model
                        (mlsurv_model-compatible)
fit_xgboost             Fit an XGBoost Survival Model
                        (mlsurv_model-compatible)
iae_survmat             Integrated Absolute Error Against Kaplan-Meier
ibs_survmat             Integrated Brier Score (Discrete Integration)
ise_survmat             Integrated Squared Error Against Kaplan-Meier
list_interpretability_methods
                        List interpretability methods available in
                        survalis
list_metrics            List Available Evaluation Metrics
list_survlearners       List survival learners available in survalis
list_tunable_survlearners
                        List tunable survival learners
plot_ale                Plot ALE Curves for Survival Models
plot_benchmark          Plot Benchmark Distributions Across Learners
plot_calibration        Plot Calibration Curve for Survival Predictions
plot_counterfactual     Plot Counterfactual Recommendations
plot_interactions       Plot Interaction Strengths for Survival Models
plot_pdp                Plot PDP/ICE Curves for Survival Models
plot_shap               Plot SHAP-like contributions for survival
                        models
plot_surrogate          Plot Local Surrogate Explanation
plot_survcurve          Kaplan-Meier Survival Curve with Risk Table
                        (survminer-Inspired)
plot_survmat            Plot Predicted Survival Curves from a survmat
plot_survmetalearner_weights
                        Plot Time‑Varying Stacking Weights
plot_tree_surrogate     Plot Tree-Based Surrogate Models or Feature
                        Importances
plot_varimp             Plot Permutation Variable Importance
predict_aalen           Predict Survival from an Aalen Additive Hazards
                        Model
predict_aftgee          Predict Survival Probabilities from an 'aftgee'
                        Model
predict_bart            Predict Survival Probabilities from a BART
                        Survival Model
predict_blackboost      Predict Survival Probabilities from a
                        blackboost Model
predict_bnnsurv         Predict Survival with a bnnSurvival Model
predict_cforest         Predict Survival Probabilities from a
                        Conditional Inference Survival Forest
predict_coxboost        Predict Survival with CoxBoost
predict_coxph           Predict Survival Probabilities from a Cox PH
                        Model
predict_flexsurvreg     Predict Survival Probabilities from a
                        flexsurvreg Model
predict_glmnet          Predict Survival Probabilities from a Penalized
                        Cox Model (glmnet)
predict_orsf            Predict Survival Probabilities from an ORSF
                        Model
predict_ranger          Predict Survival Probabilities from a ranger
                        Model
predict_rpart           Predict Survival Probabilities from an 'rpart'
                        Survival Tree
predict_rsf             Predict Survival Probabilities from an RSF
                        Model
predict_selectcox       Predict Survival Probabilities with a Selected
                        Cox Model
predict_stpm2           Predict Survival Probabilities with an rstpm2
                        Model
predict_survdnn         Predict Survival Probabilities with a DNN
                        Survival Model
predict_survmetalearner
                        Predict with a Stacked Survival Meta‑Learner
predict_survsvm         Predict Survival Probabilities with Survival
                        SVM
predict_xgboost         Predict Survival with XGBoost
score_survmodel         Score a Fitted Survival Model on Its Training
                        Data
summarise_benchmark     Summarise Benchmark Results (Mean SD with Wald
                        CI)
summarize_benchmark_results
                        Compact Table of Mean SD by Learner and Metric
summary.mlsurv_model    Summarize an 'mlsurv_model'
survalis-scales         Discrete Color/Fill Scales Matching
                        'theme_survalis'
survmat_to_chf          Convert a survival-probability matrix (survmat)
                        to cumulative hazard
survmat_to_haz          Convert a survival-probability matrix (survmat)
                        to hazards on a time grid
survmat_to_quantile     Compute a survival-time quantile from a
                        survival-probability matrix (survmat) with
                        grid-based approach
survmat_to_rmst         Compute restricted mean survival time (RMST)
                        from a survival-probability matrix (survmat)
theme_survalis          A Consistent ggplot2 Theme for survalis Figures
timeroc_survmat         Time-Dependent ROC/AUC Curve from a
                        Survival-Probability Matrix
tune_bart               Tune BART Survival Hyperparameters
                        (Cross-Validation)
tune_blackboost         Tune blackboost Hyperparameters
                        (Cross-Validation)
tune_bnnsurv            Tune bnnSurvival Hyperparameters
                        (Cross-Validation)
tune_cforest            Tune a Conditional Inference Survival Forest
tune_coxboost           Tune CoxBoost Survival Hyperparameters
                        (Cross-Validation)
tune_flexsurvreg        Tune Parametric Survival Models with
                        flexsurvreg
tune_glmnet             Tune Penalized Cox Proportional Hazards Model
                        via Cross-Validation
tune_orsf               Tune Oblique Random Survival Forests (ORSF) via
                        Cross-Validation
tune_ranger             Hyperparameter Tuning for ranger Survival
                        Models
tune_rpart              Tune a Survival Tree Model ('rpart') via
                        Cross-Validation
tune_rsf                Tune Random Survival Forest Hyperparameters
                        (Cross-Validation)
tune_selectcox          Tune SelectCox Rule (Cross-Validation)
tune_survdnn            Tune Deep Neural Network Survival Models
                        (Cross-Validation)
tune_survsvm            Tune Survival SVM Hyperparameters
                        (Cross-Validation)
tune_xgboost            Tune XGBoost Survival Hyperparameters
                        (Cross-Validation)
veteran                 Veteran's Administration Lung Cancer Trial Data
