Function reference • survex

Explainers Create a model agnostic explainer for further processing
`explain_survival()` `explain()`	A model-agnostic explainer for survival models
Dataset level explanations
`model_diagnostics()`	Dataset Level Model Diagnostics
`model_parts()`	Dataset Level Variable Importance for Survival Models
`model_performance()`	Dataset Level Performance Measures
`model_profile()`	Dataset Level Variable Profile as Partial Dependence Explanations for Survival Models
`model_profile_2d()`	Dataset Level 2-Dimensional Variable Profile for Survival Models
`model_survshap()`	Global SHAP Values
Instance level explanations
`predict(<surv_explainer>)`	Model Predictions for Survival Models
`predict_parts()`	Instance Level Parts of Survival Model Predictions
`predict_profile()`	Instance Level Profile as Ceteris Paribus for Survival Models
Metrics and loss functions
`brier_score()` `loss_brier_score()`	Calculate Brier score
`integrated_brier_score()` `loss_integrated_brier_score()`	Calculate integrated Brier score
`loss_adapt_mlr3proba()`	Adapt mlr3proba measures for use with survex
`loss_integrate()`	Calculate integrated metrics based on time-dependent metrics.
`loss_one_minus_c_index()`	Calculate the Concordance index loss
`loss_one_minus_cd_auc()`	Calculate Cumulative/Dynamic AUC loss
`loss_one_minus_integrated_cd_auc()`	Calculate integrated C/D AUC loss
`cd_auc()`	Calculate Cumulative/Dynamic AUC
`c_index()`	Compute the Harrell's Concordance index
`integrated_cd_auc()`	Calculate integrated C/D AUC
Plotting functions Plot results created by different functions
Model Performance
`plot(<model_performance_survival>)`	Plot Model Performance for Survival Models
`plot(<surv_model_performance>)`	Plot Model Performance Metrics for Survival Models
`plot(<surv_model_performance_rocs>)`	Plot ROC Curves for Survival Models
Model Parts
`plot(<model_parts_survival>)`	Plot Model Parts for Survival Models
`plot(<surv_feature_importance>)`	Plot Permutational Feature Importance for Survival Models
Model Profile
`plot(<model_profile_survival>)`	Plot Model Profile for Survival Models
`plot(<model_profile_2d_survival>)`	Plot 2-Dimensional Model Profile for Survival Models
Model SurvSHAP(t)
`plot(<aggregated_surv_shap>)`	Plot Aggregated SurvSHAP(t) Explanations for Survival Models
Model Diagnostics
`plot(<model_diagnostics_survival>)`	Plot Model Diagnostics for Survival Models
Predict Parts
`plot(<predict_parts_survival>)`	Plot Predict Parts for Survival Models
`plot(<surv_shap>)`	Plot SurvSHAP(t) Explanations for Survival Models
`plot(<surv_lime>)`	Plot SurvLIME Explanations for Survival Models
Predict Profile
`plot(<predict_profile_survival>)`	Plot Predict Profile for Survival Models
Utility functions
`extract_predict_survshap()`	Extract Local SurvSHAP(t) from Global SurvSHAP(t)
`transform_to_stepfunction()`	Transform Fixed Point Prediction into a Stepfunction
`risk_from_chf()`	Generate Risk Prediction based on the Survival Function
`cumulative_hazard_to_survival()`	Transform Cumulative Hazard to Survival
`survival_to_cumulative_hazard()`	Transform Survival to Cumulative Hazard
`surv_model_info()`	Extract additional information from the model
`set_theme_survex()` `theme_default_survex()` `theme_vertical_default_survex()`	Default Theme for survex plots

Reference

Explainers

Dataset level explanations

Instance level explanations

Metrics and loss functions

Plotting functions

Model Performance

Model Parts

Model Profile

Model SurvSHAP(t)

Model Diagnostics

Predict Parts

Predict Profile

Utility functions