## 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