| 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. |