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bartMan

0.2.1

Create Visualisations for BART Models

0packages depend
3.5Kdownloads / year
test coverage
7/13checks pass

Overview

About
Maintained by Alan InglisFirst published 2024-04-154 releasesCRAN page ↗

Investigating and visualising Bayesian Additive Regression Tree (BART) (Chipman, H. A., George, E. I., & McCulloch, R. E. 2010) doi:10.1214/09-AOAS285 model fits. We construct conventional plots to analyze a model’s performance and stability as well as create new tree-based plots to analyze variable importance, interaction, and tree structure. We employ Value Suppressing Uncertainty Palettes (VSUP) to construct heatmaps that display variable importance and interactions jointly using colour scale to represent posterior uncertainty. Our visualisations are designed to work with the most popular BART R packages available, namely 'BART' Rodney Sparapani and Charles Spanbauer and Robert McCulloch 2021 doi:10.18637/jss.v097.i01, 'dbarts' (Vincent Dorie 2023) https://CRAN.R-project.org/package=dbarts, and 'bartMachine' (Adam Kapelner and Justin Bleich 2016) doi:10.18637/jss.v070.i04.

Install

Health

CRAN checks
6ERROR7OK
Failing flavors
  • 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
Slowest check: 4.5 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
24
Dependencies · direct
Check history
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-06
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-04
    13 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 · 167 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
96%
Documented parameters
98%
Return-value docs
95%
References docs
0%

Downloads

3.5K
CRAN downloads in the past year
Rank #13,197 · ~9/day · ~288/mo
Daily download trend is not available in this view yet.
20830 days
76490 days
3.5K1 year
Compare downloads with other packages →
Also on135 r2u7 autocran

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    2025-09-18 · current release · diff ↗
  • 0.2.0
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1
    2024-07-24 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    2024-04-15
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-04-15
Total releases
4 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
1.0 KB / 2 files
Download size
80 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bartMan")
Inglis, A., Hurley, C., Parnell, A., & Wilke, C. (2025). bartMan: Create Visualisations for BART Models (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.bartMan

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bartMan version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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