Package: survex Title: Explainable Machine Learning in Survival Analysis Version: 1.2.0.9001 Authors@R: c( person("Mikołaj", "Spytek", email = "mikolajspytek@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7111-2286")), person("Mateusz", "Krzyziński", role = c("aut"), comment = c(ORCID = "0000-0001-6143-488X")), person("Sophie", "Langbein", role = c("aut")), person("Hubert", "Baniecki", role = c("aut"), comment = c(ORCID = "0000-0001-6661-5364")), person("Lorenz A.", "Kapsner", role = c("ctb"), comment = c(ORCID = "0000-0003-1866-860X")), person("Przemyslaw", "Biecek", role = c("aut"), comment = c(ORCID = "0000-0001-8423-1823")) ) Description: 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) , SurvLIME described in Kovalev et al., (2020) as well as extensions of existing ones described in Biecek et al., (2021) . License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 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 Config/testthat/edition: 3 VignetteBuilder: knitr URL: https://modeloriented.github.io/survex/ BugReports: https://github.com/ModelOriented/survex/issues Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://modeloriented.r-universe.dev Date/Publication: 2024-06-15 13:03:13 UTC RemoteUrl: https://github.com/modeloriented/survex RemoteRef: HEAD RemoteSha: cb0852a385fcfba1dab5a6a1d3394b68cb17a3c9 NeedsCompilation: no Packaged: 2026-06-18 07:30:13 UTC; root Author: Mikołaj Spytek [aut, cre] (ORCID: ), Mateusz Krzyziński [aut] (ORCID: ), Sophie Langbein [aut], Hubert Baniecki [aut] (ORCID: ), Lorenz A. Kapsner [ctb] (ORCID: ), Przemyslaw Biecek [aut] (ORCID: ) Maintainer: Mikołaj Spytek