Package: survex
Title: Explainable Machine Learning in Survival Analysis
Version: 0.1.1
Authors@R: 
    c(
        person("Mikołaj", "Spytek", email = "mikolajspytek@gmail.com", role = c("aut", "cre")),
        person("Mateusz", "Krzyziński", role = c("aut")),
        person("Hubert", "Baniecki", role = c("aut"), comment = c(ORCID = "0000-0001-6661-5364")),
        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) 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.1
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
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://modeloriented.github.io/survex/
BugReports: https://github.com/ModelOriented/survex/issues
NeedsCompilation: no
Packaged: 2022-09-02 11:24:25 UTC; Mikołaj
Author: Mikołaj Spytek [aut, cre],
  Mateusz Krzyziński [aut],
  Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>),
  Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Mikołaj Spytek <mikolajspytek@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-05 08:00:02 UTC
Built: R 4.1.3; ; 2022-11-29 02:09:01 UTC; windows
