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Interpretable Boosted Linear Models

0packages depend
2.5Kdownloads / year
77.9%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.2

Major changes

  • iblm class model objects now require factor variables for categorical features. Users should explicitly convert character columns to factors before training.

New features

  • Added "IBLM" vignette providing a comprehensive walkthrough of package functionality.

Bug fixes

  • Fixed bug where all variable types were converted to numeric before training and predicting of booster model, which could lead to improper handling of categorical features.

Internal changes

  • Updated to maintain compatibility with xgboost v3.1.2.1. Package now requires xgboost >= 3.1.2.1.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-11
  • ERROR12 OK, 1 ERROR2026-06-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 191 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsiteYes · pkgdown
Help pages
26 (1 internal)
Examples that run
96%23 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
96%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
4%
Vignettes (1)

Downloads

2.5K
CRAN downloads in the past year
Rank #14,522 · ~7/day · ~212/mo
Daily download trend is not available in this view yet.
43830 days
81790 days
2.5K1 year
Compare downloads with other packages →
Also on70 r2u2 autocran

Repository

1Stars
1Forks
5Open issues
1Open PRs
2Releases
267Commits
2Commit identities
267 commits · Last activity 2026-05-23 · 0% stars, 30d · Default branch at 2.0.1, ahead of CRAN 1.0.2 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
9
Median days to close, 50 most recently updated closed PRs
29

Stars over time

2026-03-30 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/ifoa-adswp/iblm on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-05-23 · The repository has a site deploy workflow

pkgdown site last built 2026-05-23

Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-04-10
    Pull request it wrote: opened by a project member
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing IBLM adds 67 packages (34 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.1 (2025), Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

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

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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IBLM version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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