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. Includes the grow-from-root algorithm for accelerated forest sampling (He and Hahn (2021) <doi:10.1080/01621459.2021.1942012>), a log-linear leaf model for forest-based heteroskedasticity (Murray (2020) <doi:10.1080/01621459.2020.1813587>), and the cloglog BART model of Alam and Linero (2025) <doi:10.48550/arXiv.2502.00606> for ordinal outcomes.

Package details

AuthorDrew Herren [aut, cre] (ORCID: <https://orcid.org/0000-0003-4109-6611>), Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], Entejar Alam [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)
MaintainerDrew Herren <drewherrenopensource@gmail.com>
LicenseMIT + file LICENSE
Version0.4.2
URL https://stochtree.ai/ https://github.com/StochasticTree/stochtree
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("stochtree")

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stochtree documentation built on April 29, 2026, 1:08 a.m.