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IBLM  

Interpretable Boosted Linear Models
View on CRAN: Click here


Download and install IBLM package within the R console
Install from CRAN:
install.packages("IBLM")

Install from Github:
library("remotes")
install_github("cran/IBLM")

Install by package version:
library("remotes")
install_version("IBLM", "1.0.2")



Attach the package and use:
library("IBLM")
Maintained by
Karol Gawlowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-19
Latest Update: 2025-11-19
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>.
How to cite:
Karol Gawlowski (2025). IBLM: Interpretable Boosted Linear Models. R package version 1.0.2, https://cran.r-project.org/web/packages/IBLM. Accessed 22 Jul. 2026.
Previous versions and publish date:
1.0.1 (2025-11-19 20:50), (2026-07-09 08:06)
Other packages that cited IBLM R package
View IBLM citation profile
Other R packages that IBLM depends, imports, suggests or enhances
Complete documentation for IBLM
Functions, R codes and Examples using the IBLM R package
Full IBLM package functions and examples
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