Function reference • randomForestExplainer

All functions
`explain_forest()`	Explain a random forest
`important_variables()`	Extract k most important variables in a random forest
`measure_importance()`	Importance of variables in a random forest
`min_depth_distribution()`	Calculate minimal depth distribution of a random forest
`min_depth_interactions()`	Calculate mean conditional minimal depth
`plot_importance_ggpairs()`	Plot importance measures with ggpairs
`plot_importance_rankings()`	Plot importance measures rankings with ggpairs
`plot_min_depth_distribution()`	Plot the distribution of minimal depth in a random forest
`plot_min_depth_interactions()`	Plot the top mean conditional minimal depth
`plot_multi_way_importance()`	Multi-way importance plot
`plot_predict_interaction()`	Plot the prediction of the forest for a grid of values of two numerical variables

Reference