Package: ebm
Type: Package
Title: Explainable Boosting Machines
Version: 0.1.0
Authors@R: person(c("Brandon", "M."), family = "Greenwell", 
    email = "greenwell.brandon@gmail.com", role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0002-8120-0084"))
Description: An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.
Depends: R (>= 3.5.0)
Imports: reticulate, ggplot2 (>= 0.9.0), lattice
Suggests: htmltools, ISLR2, knitr, rmarkdown, rstudioapi
URL: https://github.com/bgreenwell/ebm,
        https://bgreenwell.github.io/ebm/
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 01:32:39 UTC; bgreenwell
Author: Brandon M. Greenwell [aut, cre]
    (<https://orcid.org/0000-0002-8120-0084>)
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:08 UTC
Built: R 4.6.0; ; 2026-04-26 07:07:43 UTC; unix
