R: Explaining and Visualizing Random Forests in Terms of Variable Importance

# Explaining and Visualizing Random Forests in Terms of Variable Importance

## Documentation for package ‘randomForestExplainer’ version 0.10.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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