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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>.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, dplyr, fastDummies, ggExtra, ggplot2, purrr, scales, statmod, stats, utils, withr, xgboost |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-11-19 |
| DOI: | 10.32614/CRAN.package.IBLM |
| Author: | Karol Gawlowski [aut, cre, cph], Paul Beard [aut] |
| Maintainer: | Karol Gawlowski <Karol.Gawlowski at citystgeorges.ac.uk> |
| BugReports: | https://github.com/IFoA-ADSWP/IBLM/issues |
| License: | MIT + file LICENSE |
| URL: | https://ifoa-adswp.github.io/IBLM/, https://github.com/IFoA-ADSWP/IBLM |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | IBLM results |
| Reference manual: | IBLM.html , IBLM.pdf |
| Package source: | IBLM_1.0.1.tar.gz |
| Windows binaries: | r-devel: IBLM_1.0.1.zip, r-release: not available, r-oldrel: IBLM_1.0.1.zip |
| macOS binaries: | r-release (arm64): IBLM_1.0.1.tgz, r-oldrel (arm64): IBLM_1.0.1.tgz, r-release (x86_64): IBLM_1.0.1.tgz, r-oldrel (x86_64): IBLM_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.