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:
0.2.0
Published:
2025年11月22日
Author:
Drew Herren
ORCID iD [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>
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
NeedsCompilation:
yes
SystemRequirements:
C++17
Documentation:
Downloads:
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