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cjbart

0.3.2

Heterogeneous Effects Analysis of Conjoint Experiments

0packages depend
3.5Kdownloads / year
5.3%test coverage
13/13checks pass

Overview

About
Maintained by Thomas RobinsonFirst published 2021-05-257 releasesCRAN page ↗GitHub ↗

A tool for analyzing conjoint experiments using Bayesian Additive Regression Trees ('BART'), a machine learning method developed by Chipman, George and McCulloch (2010) doi:10.1214/09-AOAS285. This tool focuses specifically on estimating, identifying, and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level. It uses a variable importance measure ('VIMP') with delete-d jackknife variance estimation, following Ishwaran and Lu (2019) doi:10.1002/sim.7803, to obtain bias-corrected estimates of which variables drive heterogeneity in the predicted individual-level effects.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
5.3%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 102 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
10%

Downloads

3.5K
CRAN downloads in the past year
Rank #12,967 · ~9/day · ~288/mo
Daily download trend is not available in this view yet.
27430 days
79990 days
3.5K1 year
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Repository

Repository
10Stars
0Forks
1Open issues
0Open PRs
1Releases
55Commits
5Contributors
55 commits · Last activity 2023-09-06

Stars over time

2025-03-21 · 102026-07-07 · 10

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/tsrobinson/cjbart on 2026-07-30.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.6.0BART
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.2Latest
    2023-09-06 · current release · diff ↗
  • 0.3.1
    2023-06-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.0
    2023-04-11 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.2
    2022-03-02 · diff ↗
  • unarchivedReturned to CRAN
    2022-03-02
  • archivedRemoved from CRAN
    2022-02-23
    requires archived package 'randomForestSRC'
  • 0.2.1
    2022-02-14 · diff ↗
  • 0.2.0
    2021-11-03 · diff ↗
  • unarchivedReturned to CRAN
    2021-11-03
  • archivedRemoved from CRAN
    2021-10-19
    check problems were not corrected in time
  • 0.1.0
    2021-05-25
Show 1 earlier events
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-05-25
Total releases
7 / 5 yrs
License
Apache License (>= 2.0)
Minimum R
≥ 3.6.0
Download size
262 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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