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'.


Reference manual

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0.1.1 by Yang Liu, 7 months ago

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Browse source code at

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

Documentation:   PDF Manual  

MIT + file LICENSE license

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

Suggests knitr, rmarkdown, gridExtra, here, parallel, lightgbm

See at CRAN