Interpretable Boosted Linear Models R package IBLM version 1.0.2 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>. Software Depends: R (>= 4.1.0) Imports: cli, dplyr, fastDummies, ggExtra, ggplot2, purrr, scales, statmod, stats, utils, withr, xgboost (>= 3.1.2.1) Suggests: knitr, rmarkdown, testthat (>= 3.0.0), gt, patchwork Karol Gawlowski <Karol.Gawlowski@citystgeorges.ac.uk> Comprehensive R Archive Network (CRAN) Karol Gawlowski [aut, cre, cph], Paul Beard [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=IBLM/LICENSE) 2025-12-16 application/tgz https://CRAN.R-project.org/package=IBLM doi:10.32614/CRAN.package.IBLM