Package: Rforestry 0.10.1

Theo Saarinen

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

Provides fast implementations of Honest 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.

Authors:Sören Künzel, Theo Saarinen, Simon Walter, Edward Liu, Allen Tang, Jasjeet Sekhon

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rforestry/json (API)

# Install 'Rforestry' in R:

install.packages('Rforestry', repos = c('https://forestry-labs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/forestry-labs/rforestry/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

4.97 score 2 stars 94 scripts 428 downloads 16 exports 41 dependencies

Last updated from:92b396d77d. Checks:6 NOTE, 2 OK, 2 ERROR, 3 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	211
linux-devel-x86_64	NOTE	203
source / vignettes	OK	248
linux-release-arm64	NOTE	206
linux-release-x86_64	NOTE	214
macos-release-arm64	ERROR	158
macos-release-x86_64	ERROR	392
macos-oldrel-arm64	FAIL	111
macos-oldrel-x86_64	FAIL	181
windows-devel	NOTE	207
windows-release	NOTE	208
windows-oldrel	FAIL	77
wasm-release	OK	163

Exports:addTrees autoforestry autohonestRF compute_lp CppToR_translator forestry getOOB getOOBpreds getVI honestRF impute_features loadForestry make_savable multilayerForestry relinkCPP_prt saveForestry

Dependencies:base64enc bslib cachem cli codetools digest evaluate fastmap fontawesome foreach fs glmnet highr htmltools htmlwidgets iterators jquerylib jsonlite knitr lattice lifecycle magrittr Matrix memoise mime onehot R6 rappdirs Rcpp RcppArmadillo RcppEigen RcppThread rlang rmarkdown sass shape survival tinytex visNetwork xfun yaml

hte -- Heterogeneous Treatment Effect Estimation

Vignette Info | More Examples

Rendered fromexample.Rmdusingknitr::rmarkdown

Last update: 2025-03-11
Started: 2025-01-10

Citation

Development and contributors

Readme and manuals

Help Manual

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