DESCRIPTION

Package: treeshap
Title: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP'
    Algorithm
Version: 0.3.1.9000
Authors@R: c(
    person("Konrad", "Komisarczyk", email = "komisarczykkonrad@gmail.com", role = "aut"),
    person("Pawel", "Kozminski", email = "pkozminski99@gmail.com", role = "aut"),
    person("Szymon", "Maksymiuk", role = "aut", comment = c(ORCID = "0000-0002-3120-1601")),
    person("Lorenz A.", "Kapsner", role = "ctb", comment = c(ORCID = "0000-0003-1866-860X")),
    person("Mikolaj", "Spytek", role = "ctb", comment = c(ORCID = "0000-0001-7111-2286")),
    person("Mateusz", "Krzyzinski", email = "krzyzinskimateusz23@gmail.com", role = c("ctb", "cre"), comment = c(ORCID = "0000-0001-6143-488X")),
    person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-8423-1823"))
  )
Description: An efficient implementation of the 'TreeSHAP' algorithm
    introduced by Lundberg et al., (2020) <doi:10.1038/s42256-019-0138-9>.
    It is capable of calculating SHAP (SHapley Additive exPlanations) values 
    for tree-based models in polynomial time.  Currently supported models include 
    'gbm', 'randomForest', 'ranger', 'xgboost', 'lightgbm'.
License: GPL-3
URL: https://modeloriented.github.io/treeshap/,
    https://github.com/ModelOriented/treeshap
BugReports: https://github.com/ModelOriented/treeshap/issues
Depends: 
    R (>= 2.10)
Imports: 
    data.table,
    ggplot2,
    Rcpp 
Suggests:
    gbm,
    jsonlite,
    lightgbm,
    randomForest,
    ranger,
    scales,
    survival,
    testthat,
    xgboost
LinkingTo: 
    Rcpp
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3