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stochtree  

Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
View on CRAN: Click here


Download and install stochtree package within the R console
Install from CRAN:
install.packages("stochtree")

Install from Github:
library("remotes")
install_github("cran/stochtree")

Install by package version:
library("remotes")
install_version("stochtree", "0.2.1")



Attach the package and use:
library("stochtree")
Maintained by
Drew Herren
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-07
Latest Update: 2025-02-08
Description:
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.
How to cite:
Drew Herren (2025). stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference. R package version 0.2.1, https://cran.r-project.org/web/packages/stochtree. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 0.1.0 (2025-02-07 11:00), 0.1.1 (2025-02-08 17:20), 0.2.0 (2025-11-22 07:30), 0.2.1 (2025-12-11 23:00), 0.3.0 (2026-01-28 01:50), 0.3.1 (2026-02-12 18:10), 0.4.0 (2026-03-06 09:10), 0.4.2 (2026-04-28 21:30), 0.4.4 (2026-06-09 00:00)
Other packages that cited stochtree R package
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Complete documentation for stochtree
Functions, R codes and Examples using the stochtree R package
Full stochtree package functions and examples
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