Other packages > Find by keyword >

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: 2023-09-06
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 22 Dec. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA