bartCause
1.0-10Causal Inference using Bayesian Additive Regression Trees
Overview
Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) doi:10.1198/jcgs.2010.08162).
Install
Health
- ERROR r-devel-linux-x86_64-debian-clang
- ERROR r-devel-linux-x86_64-debian-gcc
- ERROR r-devel-linux-x86_64-fedora-clang
- ERROR r-devel-linux-x86_64-fedora-gcc
- ERROR r-devel-windows-x86_64
- ERROR r-release-macos-x86_64
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 82%
- Return-value docs
- 100%
- References docs
- 25%
Downloads
Repository
Stars over time
Forks over time
Issues over time
PRs over time
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/vdorie/bartcause on 2026-08-03.
Dependencies
Code & Tests
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0-10Latest
- RR 4.5.0 released · 2025-04-11
- 1.0-92024-09-16 · diff ↗
- 1.0-82024-05-02 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0-62023-01-23 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0-42020-08-10 · diff ↗
- 1.0-32020-06-15 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0-22020-04-02
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-04-02
- Total releases
- 7 / 6 yrs
- License
- GPL (>= 2) OSI
- Download size
- 54 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("bartCause")CRAN DOI
https://doi.org/10.32614/CRAN.package.bartCauseBibTeX, derived from DESCRIPTION
@Manual{bartCause,
title = {bartCause: Causal Inference using Bayesian Additive Regression Trees},
author = {Dorie, Vincent and Hill, Jennifer},
year = {2025},
note = {R package version 1.0-10},
doi = {10.32614/CRAN.package.bartCause},
url = {https://CRAN.R-project.org/package=bartCause}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorybartCause,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {bartCause} version 1.0-10},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/bartCause},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for bartCause version 1.0-10 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/bartCauseRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for bartCause version 1.0-10
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/bartCause
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/bartCause.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.