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IBLM

1.0.2

Interpretable Boosted Linear Models

0packages depend
1.8Kdownloads / year
77.9%test coverage
13/13checks pass

Overview

About
Maintained by Karol GawlowskiFirst published 2025-11-192 releasesCRAN page ↗GitHub ↗

Implements Interpretable Boosted Linear Models (IBLMs). These combine a conventional generalized linear model (GLM) with a machine learning component, such as XGBoost. The package also provides tools within for explaining and analyzing these models. For more details see Gawlowski and Wang (2025) https://ifoa-adswp.github.io/IBLM/reference/figures/iblm_paper.pdf.

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.34
77.9%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-11
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-09
    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 · 191 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
96%
Documented parameters
96%
Return-value docs
100%
References docs
4%

Downloads

1.8K
CRAN downloads in the past year
Rank #17,956 · ~5/day · ~154/mo
Daily download trend is not available in this view yet.
14830 days
60290 days
1.8K1 year
Compare downloads with other packages →
Also on66 r2u21 autocran

Repository

Repository
1Stars
1Forks
5Open issues
1Open PRs
2Releases
267Commits
2Contributors
267 commits · Last activity 2026-06-06 · 0% stars, 30d

Stars over time

2026-03-30 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ifoa-adswp/iblm on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 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 (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2025-12-16 · current release · diff ↗
  • 1.0.1
    2025-11-19
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-19
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
82 KB / 1 file
Download size
1.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IBLM")
Gawlowski, K., & Beard, P. (2025). IBLM: Interpretable Boosted Linear Models (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.IBLM

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 IBLM version 1.0.2 [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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