Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
addTrees-forestry
autoforestry-forestry
Honest Random Forest
compute lp distances
Cpp to R translator
Checks if forestry object has valid pointer for C++ object.
forestry class
forestry
getOOB-forestry
getOOBpreds-forestry
getVI-forestry
Honest Random Forest
Feature imputation using random forests neigborhoods
load RF
make_savable
Multilayer forestry
visualize a tree
predict-forestry
predict-multilayer-forestry
preprocess_testing
preprocess_training
relink CPP ptr
save RF
Test data check
Training data check
Provides fast implementations of Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation.
Useful links