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) described in Krzyzinski et al., (2022) <arXiv:2208.11080>, SurvLIME introduced 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>.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | DALEX (≥ 2.2.1), ingredients, ggplot2, gridExtra, pec, survival |
Suggests: | censored, covr, gbm, generics, glmnet, knitr, mboost, parsnip, progressr, randomForestSRC, ranger, rmarkdown, testthat (≥ 3.0.0), withr, xgboost |
Published: | 2022-09-05 |
Author: | Mikołaj Spytek [aut, cre], Mateusz Krzyziński [aut], Hubert Baniecki [aut], Przemyslaw Biecek [aut] |
Maintainer: | Mikołaj Spytek <mikolajspytek at gmail.com> |
BugReports: | https://github.com/ModelOriented/survex/issues |
License: | GPL (≥ 3) |
URL: | https://modeloriented.github.io/survex/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | survex results |
Reference manual: | survex.pdf |
Vignettes: |
Creating custom explainers Package usage |
Package source: | survex_0.1.1.tar.gz |
Windows binaries: | r-devel: survex_0.1.1.zip, r-release: survex_0.1.1.zip, r-oldrel: survex_0.1.1.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): survex_0.1.1.tgz, r-oldrel (x86_64): survex_0.1.1.tgz |
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