Package: shapviz
Title: SHAP Visualizations
Version: 0.2.0
Authors@R: 
    person("Michael", "Mayer", , "mayermichael79@gmail.com", role = c("aut", "cre"))
Description: Visualizations for SHAP (SHapley Additive exPlanations), such
    as waterfall plots, force plots, various types of importance plots,
    and dependence plots.  These plots act on a 'shapviz' object created
    from a matrix of SHAP values and a corresponding feature dataset.
    Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap',
    'shapr', 'h2o', and 'treeshap' are added for convenience.  By
    separating visualization and computation, it is possible to display
    factor variables in graphs, even if the SHAP values are calculated by
    a model that requires numerical features. The plots are inspired by
    those provided by the 'shap' package in Python, but there is no
    dependency on it.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: ggbeeswarm, ggfittext (>= 0.8.0), gggenes, ggplot2 (>= 3.0.0),
        ggrepel, grid, rlang (>= 0.3.0), stats, utils, xgboost
Enhances: h2o, lightgbm
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/mayer79/shapviz
BugReports: https://github.com/mayer79/shapviz/issues
NeedsCompilation: no
Packaged: 2022-07-07 19:26:31 UTC; Michael
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-07 19:50:02 UTC
