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>.
Version: 1.2.0 Depends: R (≥ 3.5.0) Imports: DALEX (≥ 2.2.1), ggplot2 (≥ 3.4.0), kernelshap, pec, survival, patchwork Suggests: censored (≥ 0.2.0), covr, flexsurv, gbm, generics, glmnet, ingredients, knitr (≥ 1.42), mboost, parsnip, progressr, randomForestSRC, ranger, reticulate, rmarkdown, rms, testthat (≥ 3.0.0), treeshap (≥ 0.3.0), withr, xgboost Published: 2023-10-24 DOI: 10.32614/CRAN.package.survex Author: MikoÅaj Spytek [aut, cre], Mateusz KrzyziÅski [aut], Sophie Langbein [aut], Hubert Baniecki [aut], Lorenz A. Kapsner [ctb], Przemyslaw Biecek [aut] Maintainer: MikoÅaj Spytek <mikolajspytek at gmail.com> BugReports: https://github.com/ModelOriented/survex/issues License: GPL (≥ 3) URL: https://modeloriented.github.io/survex/ NeedsCompilation: no Citation: survex citation info Materials: README NEWS In views: Survival CRAN checks: survex results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=survex to link to this page.
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