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.
Version: | 0.2.0 |
Depends: | prodlim |
Imports: | breakDown, ggplot2, pec, scales, survival, survminer |
Suggests: | CFC, covr, knitr, randomForestSRC, rmarkdown, rms, testthat, tibble |
Published: | 2018-08-24 |
Author: | Aleksandra Grudziaz [aut, cre], Alicja Gosiewska [aut], Przemyslaw Biecek [aut, ths] |
Maintainer: | Aleksandra Grudziaz <aleksandra.grudziaz at gmail.com> |
BugReports: | https://github.com/MI2DataLab/survxai/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://mi2datalab.github.io/survxai/ |
NeedsCompilation: | no |
CRAN checks: | survxai results |
Reference manual: | survxai.pdf |
Vignettes: |
Custom predict function for survival models Survival models - global explanations How to compare models with survxai Survival models - local explanations |
Package source: | survxai_0.2.0.tar.gz |
Windows binaries: | r-devel: survxai_0.2.0.zip, r-release: survxai_0.2.0.zip, r-oldrel: survxai_0.2.0.zip |
OS X binaries: | r-release: survxai_0.2.0.tgz, r-oldrel: survxai_0.2.0.tgz |
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