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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 |
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 |
Reference manual: | stochtree.pdf |
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-devel (arm64): stochtree_0.1.1.tgz, r-release (arm64): stochtree_0.1.1.tgz, r-oldrel (arm64): stochtree_0.1.1.tgz, r-devel (x86_64): 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.