Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability

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Documentation for package ‘Rforestry’ version 0.9.0.95

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adaptiveForestry forestry with adaptive featureWeights
adaptiveForestry-forestry forestry with adaptive featureWeights
addTrees addTrees-forestry
autoforestry autoforestry-forestry
autohonestRF Honest Random Forest
compute_lp compute lp distances
compute_lp-forestry compute lp distances
correctedPredict correctedPredict-forestry
CppToR_translator Cpp to R translator
forestry forestry
forestry-class forestry class
forest_checker Checks if forestry object has valid pointer for C++ object.
getCI getCI-forestry
getOOB getOOB-forestry
getOOB-forestry getOOB-forestry
getOOB-method getOOB-forestry
getOOBpreds getOOBpreds-forestry
getOOBpreds-forestry getOOBpreds-forestry
getSplitProps getSplitProps-forestry
getSplitProps-forestry getSplitProps-forestry
getVI getVI-forestry
honestRF Honest Random Forest
impute_features Feature imputation using random forests neighborhoods
loadForestry load RF
make_savable make_savable
make_savable-method make_savable
multilayer-forestry Multilayer forestry
multilayerForestry Multilayer forestry
plot-forestry visualize a tree
plot.forestry visualize a tree
predict-adaptiveForestry predict-adaptiveForestry
predict-forestry predict-forestry
predict-multilayer-forestry predict-multilayer-forestry
predict.adaptiveForestry predict-adaptiveForestry
predict.forestry predict-forestry
predict.multilayerForestry predict-multilayer-forestry
predictInfo predictInfo-forestry
preprocess_testing preprocess_testing
preprocess_training preprocess_training
relinkCPP_prt relink CPP ptr
saveForestry save RF
scale_center scale_center
testing_data_checker Test data check
testing_data_checker-forestry Test data check
training_data_checker Training data check
unscale_uncenter unscale_uncenter