Package: IBLM
Type: Package
Title: Interpretable Boosted Linear Models
Version: 1.0.1
Authors@R: c(
    person("Karol", "Gawlowski", , "Karol.Gawlowski@citystgeorges.ac.uk", role = c("aut", "cre", "cph")),
    person("Paul", "Beard", , "paul.beard.actuarial@gmail.com", role = "aut")
  )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.0
Imports: cli, dplyr, fastDummies, ggExtra, ggplot2, purrr, scales,
        statmod, stats, utils, withr, xgboost
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://ifoa-adswp.github.io/IBLM/,
        https://github.com/IFoA-ADSWP/IBLM
BugReports: https://github.com/IFoA-ADSWP/IBLM/issues
NeedsCompilation: no
Packaged: 2025-11-15 20:02:43 UTC; paulb
Author: Karol Gawlowski [aut, cre, cph],
  Paul Beard [aut]
Maintainer: Karol Gawlowski <Karol.Gawlowski@citystgeorges.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-19 19:50:25 UTC
Built: R 4.5.1; ; 2025-11-19 22:16:25 UTC; unix
