Visualization of the Local and Global Survival Model Explanations

Survival models may have very different structures. This package contains functions for creating a unified representation of a 'survival' models, which can be further processed by various survival explainers. Tools implemented in 'survxai' help to understand how input variables are used in the model and what impact do they have on the final model prediction. Currently, four explanation methods are implemented. We can divide them into two groups: local and global. Explanations of the methods can be found in Grudziaz et al.(2018) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.2 by Aleksandra Grudziaz, a year ago

Report a bug at

Browse source code at

Authors: Aleksandra Grudziaz [aut, cre] , Alicja Gosiewska [aut] , Przemyslaw Biecek [aut, ths]

Documentation:   PDF Manual  

GPL license

Imports breakDown, ggplot2, pec, scales, survival, survminer

Depends on prodlim

Suggests CFC, covr, DALEX, knitr, markdown, randomForestSRC, rmarkdown, rms, testthat, tibble

See at CRAN