# Prediction Explanation with Dependence-Aware Shapley Values

## Documentation for package ‘shapr’ version 0.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## 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.