Explaining and Visualizing Random Forests in Terms of Variable Importance

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Documentation for package ‘randomForestExplainer’ version 0.10.1

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

Help Pages

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