Prediction Explanation with Dependence-Aware Shapley Values

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Documentation for package ‘shapr’ version 0.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

explain	Explain the output of machine learning models with more accurately estimated Shapley values
explain.combined	Explain the output of machine learning models with more accurately estimated Shapley values
explain.copula	Explain the output of machine learning models with more accurately estimated Shapley values
explain.ctree	Explain the output of machine learning models with more accurately estimated Shapley values
explain.ctree_comb_mincrit	Explain the output of machine learning models with more accurately estimated Shapley values
explain.empirical	Explain the output of machine learning models with more accurately estimated Shapley values
explain.gaussian	Explain the output of machine learning models with more accurately estimated Shapley values
feature_combinations	Define feature combinations, and fetch additional information about each unique combination
make_dummies	Initiate the making of dummy variables
plot.shapr	Plot of the Shapley value explanations
shapr	Create an explainer object with Shapley weights for test data.