Package: kernelshap
Title: Kernel SHAP
Version: 0.3.5
Authors@R: c(
    person("Michael", "Mayer", , "mayermichael79@gmail.com", role = c("aut", "cre")),
    person("David", "Watson", , "david.s.watson11@gmail.com", role = "aut"),
    person("Przemyslaw", "Biecek", , "przemyslaw.biecek@gmail.com", role = "ctb",
           comment = c(ORCID = "0000-0001-8423-1823"))
  )
Description: Efficient implementation of Kernel SHAP, see Lundberg and Lee
    (2017) <https://dl.acm.org/doi/10.5555/3295222.3295230>, and Covert
    and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>.  For
    models with up to eight features, the results are exact regarding the
    selected background data.  Otherwise, an almost exact hybrid algorithm
    involving iterative sampling is used.  The package plays well together
    with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'.
    Visualizations can be done using the R package 'shapviz'.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: foreach, stats, utils
Suggests: doFuture, testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/ModelOriented/kernelshap
BugReports: https://github.com/ModelOriented/kernelshap/issues
NeedsCompilation: no
Packaged: 2023-03-31 11:06:01 UTC; Michael
Author: Michael Mayer [aut, cre],
  David Watson [aut],
  Przemyslaw Biecek [ctb] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 18:00:02 UTC
