Interpretable Survival Machine Learning Framework

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Documentation for package ‘survalis’ version 0.7.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

auc_survmat	Time-Dependent AUC from a Survival-Probability Matrix
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_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_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_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'
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)
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_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