DESCRIPTION

Package: SHAPforxgboost
Title: SHAP Plots for 'XGBoost'
Version: 0.1.3
Date: 2023-05-18
Authors@R: c(
    person(given = "Yang", family = "Liu", role = c("aut", "cre"), email = "lyhello@gmail.com",
           comment = c(ORCID = "0000-0001-6557-6439")),
    person(given = "Allan", family = "Just", role = c("aut", "ctb"), email = "allan.just@mssm.edu",
           comment = c(ORCID = "0000-0003-4312-5957")),
    person(given = "Michael", family = "Mayer", role = c("ctb"), email = "mayermichael79@gmail.com")
    )
Description: Aid in visual data investigations
 using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. 
 It provides summary plot, dependence plot, interaction plot, and force plot and relies on
 the SHAP implementation provided by 'XGBoost' and 'LightGBM'.
 Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'. 
License: MIT + file LICENSE
URL: https://github.com/liuyanguu/SHAPforxgboost
BugReports: https://github.com/liuyanguu/SHAPforxgboost/issues
Encoding: UTF-8
LazyData: true
Depends: 
    R (>= 3.5.0)
VignetteBuilder: 
    knitr
Imports:
    stats,
    utils,
    ggplot2 (>= 3.0.0),
    xgboost (>= 0.81.0.0),
    data.table (>= 1.12.0),
    ggforce (>= 0.2.1.9000),
    ggExtra (>= 0.8),
    RColorBrewer (>= 1.1.2),
    ggpubr,
    BBmisc
Suggests:
    knitr,
    rmarkdown,
    gridExtra (>= 2.3),
    here,
    parallel,
    lightgbm (>= 2.1)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1