R Observatory: Metrics for stochtree version 0.4.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

stochtree

0.4.5

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

1packages depend

7.3Kdownloads / year

64.3%test coverage

13/13checks pass

Overview

About

Maintained by Drew HerrenFirst published 2025-02-0710 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("stochtree", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("StochasticTree/stochtree")

Development version from StochasticTree/stochtree. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-stochtree

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-stochtree

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-stochtree

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 8.4 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.45

64.3%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 40 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

7.3K

CRAN downloads in the past year

Rank #4,505 · ~20/day · ~610/mo

Releases R versions

Daily download trend is not available in this view yet.

45430 days

1.7K90 days

7.3K1 year

Compare downloads with other packages →

Also on530 r2u25 autocran

Repository

GitHub ↗ stochastictree/stochtree

77Stars

18Forks

18Open issues

7Open PRs

16Releases

1,403Commits

8Contributors

decision-treesmachine-learningtree-ensemblesbartbayesian-methodsprobabilistic-modelsbayesian-machine-learninggradient-boosted-trees

1,403 commits · Last activity 2026-07-30 · 0% stars, 30d

Stars over time

2025-07-29 · 492026-07-18 · 77

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/stochastictree/stochtree on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

Dev Container

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

Air

Show all practices

Governance and community (1)

Issue templates

Git structural (2)

.gitattributesSubmodules

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (2)

R6stats

LinkingTo (2)

cpp11 BH

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

BayesPocket

Code & Tests

People & History

People (15)

Maintainer (1)

Drew Herren

Author, Maintainer

Authors (5)

Author, Maintainer

Author

Author

Author

Author

Contributors (2)

Entejar Alam

Contributor · added in 0.4.0

Pedro Lima

Contributor

Copyright holders (8)

Microsoft Corporation

Copyright holder

Copyright holder

Copyright holder

Copyright holder

Copyright holder

stochtree contributors

Copyright holder

treelite contributors

Copyright holder

xgboost contributors

Copyright holder

Package Timeline

10 releases. Pick two to compare their code metrics. R releases are shown for context.

0.4.5Latest
2026-06-30 · current release · diff ↗
0.4.4
2026-06-09 · diff ↗
0.4.2
2026-04-29 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0
2026-03-06 · diff ↗
0.3.1
2026-02-12 · diff ↗
0.3.0
2026-01-28 · diff ↗
0.2.1
2025-12-11 · diff ↗
0.2.0
2025-11-22 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.1
2025-02-08 · diff ↗
0.1.0
2025-02-07
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-02-07
Total releases: 10 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 1.6 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Causal Inference Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stochtree")

Format

Herren, D., Alam, E., Carvalho, C., Corporation, M., Hahn, R., He, J., Lemire, D., Lima, P., Lohmann, N., Murray, J., Zverovich, V., contributors, E., contributors, s., contributors, t., & contributors, x. (2026). stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference (Version 0.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.stochtree

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for stochtree version 0.4.5 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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