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survex  

Explainable Machine Learning in Survival Analysis
View on CRAN: Click here


Download and install survex package within the R console
Install from CRAN:
install.packages("survex")

Install from Github:
library("remotes")
install_github("cran/survex")

Install by package version:
library("remotes")
install_version("survex", "1.2.0")



Attach the package and use:
library("survex")
Maintained by
Mikołaj Spytek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-05
Latest Update: 2023-10-24
Description:
Survival analysis models are commonly used in medicine and other areas. Many of them are too complex to be interpreted by human. Exploration and explanation is needed, but standard methods do not give a broad enough picture. 'survex' provides easy-to-apply methods for explaining survival models, both complex black-boxes and simpler statistical models. They include methods specific to survival analysis such as SurvSHAP(t) introduced in Krzyzinski et al., (2023) <doi:10.1016/j.knosys.2022.110234>, SurvLIME described in Kovalev et al., (2020) <doi:10.1016/j.knosys.2020.106164> as well as extensions of existing ones described in Biecek et al., (2021) <doi:10.1201/9780429027192>.
How to cite:
Mikołaj Spytek (2022). survex: Explainable Machine Learning in Survival Analysis. R package version 1.2.0, https://cran.r-project.org/web/packages/survex. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.1 (2022-09-05 10:00), 0.2.2 (2022-12-01 01:20), 1.0.0 (2023-03-20 20:30), 1.1.3 (2023-09-06 03:20)
Other packages that cited survex R package
View survex citation profile
Other R packages that survex depends, imports, suggests or enhances
Complete documentation for survex
Functions, R codes and Examples using the survex R package
Some associated functions: brier_score . c_index . cd_auc . cumulative_hazard_to_survival . explain_survival . extract_predict_survshap . integrated_brier_score . integrated_cd_auc . loss_adapt_mlr3proba . loss_integrate . loss_one_minus_c_index . loss_one_minus_cd_auc . loss_one_minus_integrated_cd_auc . model_diagnostics.surv_explainer . model_parts.surv_explainer . model_performance.surv_explainer . model_profile.surv_explainer . model_profile_2d.surv_explainer . model_survshap.surv_explainer . plot.aggregated_surv_shap . plot.model_diagnostics_survival . plot.model_parts_survival . plot.model_performance_survival . plot.model_profile_2d_survival . plot.model_profile_survival . plot.predict_parts_survival . plot.predict_profile_survival . plot.surv_feature_importance . plot.surv_lime . plot.surv_model_performance . plot.surv_model_performance_rocs . plot.surv_shap . predict.surv_explainer . predict_parts.surv_explainer . predict_profile.surv_explainer . risk_from_chf . surv_ceteris_paribus . surv_feature_importance . surv_integrated_feature_importance . surv_lime . surv_model_info . surv_model_performance . surv_shap . survival_to_cumulative_hazard . theme_survex . transform_to_stepfunction . 
Some associated R codes: explain.R . metrics.R . misc_set_theme_survex.R . model_diagnostics.R . model_info.R . model_parts.R . model_performance.R . model_profile.R . model_profile_2d.R . model_survshap.R . plot_model_diagnostics_survival.R . plot_model_parts_survival.R . plot_model_performance_survival.R . plot_model_profile_2d.R . plot_model_profile_survival.R . plot_predict_parts_survival.R . plot_predict_profile_survival.R . plot_surv_ceteris_paribus.R . plot_surv_feature_importance.R . plot_surv_lime.R . plot_surv_model_performance.R . plot_surv_model_performance_rocs.R . plot_surv_shap.R . predict_parts.R . predict_profile.R . predict_surv_explainer.R . print.R . surv_ceteris_paribus.R . surv_feature_importance.R . surv_integrated_feature_importance.R . surv_lime.R . surv_model_performance.R . surv_model_profiles.R . surv_shap.R . utils.R .  Full survex package functions and examples
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