stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.

Version:	0.1.1
Imports:	R6, stats
LinkingTo:	cpp11, BH
Suggests:	testthat (≥ 3.0.0)
Published:	2025-02-08
DOI:	10.32614/CRAN.package.stochtree
Author:	Drew Herren [aut, cre], Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], stochtree contributors [cph], Eigen contributors [cph] (C++ source uses the Eigen library for matrix operations, see inst/COPYRIGHTS), xgboost contributors [cph] (C++ tree code and related operations include or are inspired by code from the xgboost library, see inst/COPYRIGHTS), treelite contributors [cph] (C++ tree code and related operations include or are inspired by code from the treelite library, see inst/COPYRIGHTS), Microsoft Corporation [cph] (C++ I/O and various project structure code include or are inspired by code from the LightGBM library, which is a copyright of Microsoft, see inst/COPYRIGHTS), Niels Lohmann [cph] (C++ source uses the JSON for Modern C++ library for JSON operations, see inst/COPYRIGHTS), Daniel Lemire [cph] (C++ source uses the fast_double_parser library internally, see inst/COPYRIGHTS), Victor Zverovich [cph] (C++ source uses the fmt library internally, see inst/COPYRIGHTS)
Maintainer:	Drew Herren <drewherrenopensource at gmail.com>
BugReports:	https://github.com/StochasticTree/stochtree/issues
License:	MIT + file LICENSE
Copyright:	Copyright details for stochtree's C++ dependencies, which are vendored along with the core stochtree source code, are detailed in inst/COPYRIGHTS stochtree copyright details
URL:	https://stochtree.ai/, https://github.com/StochasticTree/stochtree
NeedsCompilation:	yes
SystemRequirements:	C++17
Materials:	README, NEWS
CRAN checks:	stochtree results

Documentation:

Reference manual:

stochtree.html , stochtree.pdf

Downloads:

Package source:	stochtree_0.1.1.tar.gz
Windows binaries:	r-devel: stochtree_0.1.1.zip, r-release: stochtree_0.1.1.zip, r-oldrel: stochtree_0.1.1.zip
macOS binaries:	r-release (arm64): stochtree_0.1.1.tgz, r-oldrel (arm64): stochtree_0.1.1.tgz, r-release (x86_64): stochtree_0.1.1.tgz, r-oldrel (x86_64): stochtree_0.1.1.tgz
Old sources:	stochtree archive

Linking:

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