R Observatory: Metrics for bartXViz version 1.0.11

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bartXViz

1.0.11Package record

Visualization of BART and BARP using SHAP

0packages depend

4Kdownloads / year

–test coverage

12/13flavors OK

Overview

About

Maintained by Dong-eun LeeCRAN page ↗GitHub ↗

Complex machine learning models are often difficult to interpret. Shapley values serve as a powerful tool to understand and explain why a model makes a particular prediction. This package computes variable contributions using permutation-based Shapley values for Bayesian Additive Regression Trees (BART) and its extension with Post-Stratification (BARP). The permutation-based SHAP method proposed by Strumbel and Kononenko (2014) doi:10.1007/s10115-013-0679-x is grounded in data obtained via MCMC sampling. Similar to the BART model introduced by Chipman, George, and McCulloch (2010) doi:10.1214/09-AOAS285, this package leverages Bayesian posterior samples generated during model estimation, allowing variable contributions to be computed without requiring additional sampling. The BART model is designed to work with the following R packages: 'BART' doi:10.18637/jss.v097.i01, 'bartMachine' doi:10.18637/jss.v070.i04, and 'dbarts' https://CRAN.R-project.org/package=dbarts. For XGBoost and baseline adjustments, the approach by Lundberg et al. (2020) doi:10.1038/s42256-019-0138-9 is also considered. The BARP model proposed by Bisbee (2019) doi:10.1017/S0003055419000480 was implemented with reference to https://github.com/jbisbee1/BARP and is designed to work with modified functions based on that implementation. BARP extends post-stratification by computing variable contributions within each stratum defined by stratifying variables. The resulting Shapley values are visualized through both global and local explanation methods.

Install

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

install.packages("bartXViz", 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("ldongeunl/bartXViz")

Development version from ldongeunl/bartXViz. 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-bartxviz

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-bartXViz

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-bartXViz

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

1ERROR12OK

Check messages

ERRORpackage dependenciesr-release-macos-x86_64

Package required but not available: ‘dbarts’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 4.6 min · r-devel-windows-x86_64

Status changes

ERROR12 OK, 1 ERROR2026-05-02
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-04-06
ERROR13 OK, 1 ERROR2026-04-04

Show 1 earlier changeHide 1 earlier change

OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.11

READMEYes · 234 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 18
Examples that run: 11%1 run in a plain check · 8 never run
Exported functions with examples: 83%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 28%

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #12,161 · ~11/day · ~337/mo

Releases R versions

Daily download trend is not available in this view yet.

35230 days

91390 days

4K1 year

Compare downloads with other packages →

Also on363 r2u60 autocran

How downloads are counted

Repository

ldongeunl/bartxviz ↗Account: ldongeunl

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-01-26

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/ldongeunl/bartxviz on 2026-10-22.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing bartXViz adds 115 packages (62 with compiled code, 100 MB of source tarballs). Heaviest: stringi 11 MB, bartMachineJARs 8.6 MB, ggplot2 6.0 MB.

Depends (2)

R >= 3.5.0SuperLearner

Imports (21)

bartMachine BART ggplot2 ggforce data.table ggfittext ggpubr foreach gggenes Rcpp dplyr tidyr stringr abindutilsgriddbarts forcats gridExtra reshape2 missForest

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Dong-eun Lee

Author, Maintainer since 1.0.3 (2025)

Eun-Kyung Lee

Author

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.11Latest
record
2026-01-26 · current release · diff ↗
1.0.9
record
2025-12-21 · diff ↗ ·
added 1 export
Explain_stats
1.0.8
record
2025-07-28 · diff ↗
1.0.6
record
2025-07-19 · diff ↗
1.0.5
record
2025-06-24 · diff ↗
1.0.3
record
2025-04-28
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-04-28
Total releases: 6 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 181 KB / 3 files
Download size: 233 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bartXViz")

Format

Lee, D., & Lee, E. (2026). bartXViz: Visualization of BART and BARP using SHAP (Version 1.0.11) [Computer software]. https://doi.org/10.32614/CRAN.package.bartXViz

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 bartXViz version 1.0.11 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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