SHAPforxgboost: SHAP Plots for 'XGBoost'

The aim of 'SHAPforxgboost' is to aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost'. It provides summary plot, dependence plot, interaction plot, and force plot. It relies on the 'dmlc/xgboost' package to produce SHAP values. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.

Version: 0.0.2
Depends: R (≥ 3.3.0)
Imports: 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: gridExtra (≥ 2.3), here, parallel
Published: 2019-08-28
Author: Yang Liu ORCID iD [aut, cre], Allan Just ORCID iD [ctb]
Maintainer: Yang Liu <lyhello at gmail.com>
BugReports: https://github.com/liuyanguu/SHAPforxgboost/issues
License: MIT + file LICENSE
URL: https://github.com/liuyanguu/SHAPforxgboost
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SHAPforxgboost results

Downloads:

Reference manual: SHAPforxgboost.pdf
Package source: SHAPforxgboost_0.0.2.tar.gz
Windows binaries: r-devel: SHAPforxgboost_0.0.2.zip, r-release: SHAPforxgboost_0.0.2.zip, r-oldrel: SHAPforxgboost_0.0.2.zip
OS X binaries: r-release: SHAPforxgboost_0.0.2.tgz, r-oldrel: SHAPforxgboost_0.0.2.tgz
Old sources: SHAPforxgboost archive

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