R Observatory: Metrics for stochtree version 0.4.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

stochtree

0.4.5Package record

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

1packages dependsuggested by 1

6.9Kdownloads / year

64.3%test coverage

13/13flavors OK

Overview

About

Maintained by Drew HerrenCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.4.5

Bug Fixes

Fix IndexError when sampling a mean-only Python BART model with categorical covariates; the excluded-variable weight zero-out is now guarded by the forest-inclusion flags, matching the R implementation #411
Fix ordinal class prediction bug in R BART #399

From NEWS.md in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 11.1 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.5

READMEYes · 40 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.5Citation fileNoWebsiteYes

Help pages: 66includes a package overview page
Examples that run: 100%44 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

6.9K

CRAN downloads in the past year

Rank #4,668 · ~19/day · ~578/mo

Releases R versions

Daily download trend is not available in this view yet.

57230 days

1.8K90 days

6.9K1 year

Compare downloads with other packages →

Also on505 r2u4 autocran

How downloads are counted

Repository

stochastictree/stochtree ↗Organization: StochasticTree

77Stars

19Forks

18Open issues

0Open PRs

16Releases

1,445Commits

9Commit identities

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

1,445 commits · Last activity 2026-10-05 · 0% stars, 30d · Default branch at 0.4.6.9000, ahead of CRAN 0.4.5 (checked 2026-10-25)

Responsiveness

How these are sampled

PRs merged (all time): 95%
Median days to close, 50 most recently updated closed issues: 14
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-24 · 582026-07-18 · 77

How these are measured

PracticesBeta

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

Checks run against github.com/stochastictree/stochtree on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Issue templates

Docs source (1)

pkgdown

Reproducibility and dev environment (1)

Dev Container

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

Air

Git structural (2)

.gitattributesSubmodules

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-03-10
Pull request it wrote: opened by a project member
Commits: at least 27 crediting it in the message

Models named in its commits

Claude Sonnet 4.619 commits · Mar to May 2026
Claude Opus 4.84 commits · Jun to Jul 2026
Claude Opus 5.54 commits · Oct 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing stochtree adds 3 packages (0 with compiled code, 14 MB of source tarballs). Heaviest: BH 14 MB, cpp11 298 KB, R6 63 KB.

Depends (0)

none

Imports (2)

R6stats

LinkingTo (2)

cpp11 BH

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

BayesPocket

Suggests, most downloaded first

rtemis

How these are counted

Code & Tests

People & History

People (15)

Drew Herren

Author, Maintainer since 0.1.0 (2025)

Author

Author

Author

Author

Contributor · added in 0.4.0

Pedro Lima

Contributor

Microsoft Corporation

Copyright holder

C++ I/O and various project structure code include or are inspired by code from the LightGBM library, which is a…

Daniel Lemire

Copyright holder

C++ source uses the fast_double_parser library internally, see inst/COPYRIGHTS

Niels Lohmann

Copyright holder

C++ source uses the JSON for Modern C++ library for JSON operations, see inst/COPYRIGHTS

Victor Zverovich

Copyright holder

C++ source uses the fmt library internally, see inst/COPYRIGHTS

Eigen contributors

Copyright holder

C++ source uses the Eigen library for matrix operations, see inst/COPYRIGHTS

stochtree contributors

Copyright holder

treelite contributors

Copyright holder

C++ tree code and related operations include or are inspired by code from the treelite library, see inst/COPYRIGHTS

xgboost contributors

Copyright holder

C++ tree code and related operations include or are inspired by code from the xgboost library, see inst/COPYRIGHTS

Releases (10)

Pick two releases to compare their code metrics.

0.4.5Latest
record
2026-06-30 · current release · diff ↗
0.4.4
record
2026-06-08 · diff ↗
0.4.2
record
2026-04-28 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0
record
2026-03-06 · diff ↗ ·
removed 8 exports
compute_bart_posterior_interval, compute_bcf_posterior_interval, compute_contrast_bart_model, compute_contrast_bcf_model, convertPreprocessorToJson, extract_parameter, sample_bart_posterior_predictive, sample_bcf_posterior_predictive

added 9 exports
OutcomeModel, computeBARTPosteriorInterval, computeBCFPosteriorInterval, computeContrastBARTModel, computeContrastBCFModel, extractParameter, sampleBARTPosteriorPredictive, sampleBCFPosteriorPredictive, savePreprocessorToJson
0.3.1
record
2026-02-12 · diff ↗
0.3.0
record
2026-01-28 · diff ↗ ·
removed 3 exports
expand_dims_1d, expand_dims_2d, expand_dims_2d_diag

added 1 export
extract_parameter
0.2.1
record
2025-12-11 · diff ↗
0.2.0
record
2025-11-22 · diff ↗ ·
added 10 exports
compute_bart_posterior_interval, compute_bcf_posterior_interval, compute_contrast_bart_model, compute_contrast_bcf_model, expand_dims_1d, expand_dims_2d, expand_dims_2d_diag, sample_bart_posterior_predictive, sample_bcf_posterior_predictive, sample_without_replacement
R
R 4.5.0 released · 2025-04-11
0.1.1
record
2025-02-08 · diff ↗
0.1.0
record
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
Copyright: Copyright details for stochtree's C++ dependencies, which are vendored along with the core stochtree source code, are detailed in inst/COPYRIGHTS
Download size: 1.6 MB

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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