treeshap: Compute SHAP Values for Your Tree-Based Models Using the
'TreeSHAP' Algorithm
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'.
| Version: | 0.3.1 | 
| Depends: | R (≥ 2.10) | 
| Imports: | data.table, ggplot2, Rcpp | 
| LinkingTo: | Rcpp | 
| Suggests: | gbm, jsonlite, lightgbm, randomForest, ranger, scales, survival, testthat, xgboost | 
| Published: | 2024-01-22 | 
| DOI: | 10.32614/CRAN.package.treeshap | 
| Author: | Konrad Komisarczyk [aut],
  Pawel Kozminski [aut],
  Szymon Maksymiuk  [aut],
  Lorenz A. Kapsner  [ctb],
  Mikolaj Spytek  [ctb],
  Mateusz Krzyzinski  [ctb, cre],
  Przemyslaw Biecek  [aut, cph] | 
| Maintainer: | Mateusz Krzyzinski  <krzyzinskimateusz23 at gmail.com> | 
| BugReports: | https://github.com/ModelOriented/treeshap/issues | 
| License: | GPL-3 | 
| URL: | https://modeloriented.github.io/treeshap/,
https://github.com/ModelOriented/treeshap | 
| NeedsCompilation: | yes | 
| CRAN checks: | treeshap results | 
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