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.


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install.packages("survxai")

0.2.0 by Aleksandra Grudziaz, a year ago


https://mi2datalab.github.io/survxai/


Report a bug at https://github.com/MI2DataLab/survxai/issues


Browse source code at https://github.com/cran/survxai


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, knitr, randomForestSRC, rmarkdown, rms, testthat, tibble


See at CRAN