SHAPforxgboost: SHAP Plots for 'XGBoost'

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'.

Version:	0.1.3
Depends:	R (≥ 3.5.0)
Imports:	stats, 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)
Published:	2023-05-29
Author:	Yang Liu [aut, cre], Allan Just [aut, ctb], Michael Mayer [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

Documentation:

Reference manual:	SHAPforxgboost.pdf
Vignettes:	Basic Workflow

Downloads:

Package source:	SHAPforxgboost_0.1.3.tar.gz
Windows binaries:	r-devel: SHAPforxgboost_0.1.3.zip, r-release: SHAPforxgboost_0.1.3.zip, r-oldrel: SHAPforxgboost_0.1.3.zip
macOS binaries:	r-release (arm64): SHAPforxgboost_0.1.3.tgz, r-oldrel (arm64): SHAPforxgboost_0.1.3.tgz, r-release (x86_64): SHAPforxgboost_0.1.3.tgz, r-oldrel (x86_64): SHAPforxgboost_0.1.3.tgz
Old sources:	SHAPforxgboost archive

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