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'.


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Reference manual

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install.packages("SHAPforxgboost")

0.0.2 by Yang Liu, 25 days ago


https://github.com/liuyanguu/SHAPforxgboost


Report a bug at https://github.com/liuyanguu/SHAPforxgboost/issues


Browse source code at https://github.com/cran/SHAPforxgboost


Authors: Yang Liu [aut, cre] , Allan Just [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, xgboost, data.table, ggforce, ggExtra, RColorBrewer, ggpubr, BBmisc

Suggests gridExtra, here, parallel


See at CRAN