Package: Rforestry 0.9.0.3

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

Rforestry_0.9.0.3.tar.gz
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Rforestry.pdf |Rforestry.html✨
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

5.06 score 1 packages 76 scripts 432 downloads 16 exports 42 dependencies

Last updated 20 days agofrom:5eba6025fe. Checks:1 OK, 6 NOTE, 2 ERROR. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 11 2025
R-4.5-win-x86_64	NOTE	Jan 11 2025
R-4.5-linux-x86_64	NOTE	Jan 11 2025
R-4.4-win-x86_64	NOTE	Jan 11 2025
R-4.4-mac-x86_64	NOTE	Jan 11 2025
R-4.4-mac-aarch64	ERROR	Jan 11 2025
R-4.3-win-x86_64	NOTE	Jan 11 2025
R-4.3-mac-x86_64	NOTE	Jan 11 2025
R-4.3-mac-aarch64	ERROR	Jan 11 2025

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 glue 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

Soeren Kuenzel, Allen Tang, Peter Bickel, Bin Yu, Jasjeet Sekhon

Rendered fromexample.Rmdusingknitr::rmarkdownon Jan 11 2025.

Last update: 2025-01-10
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