Type: Package
Package: ONAM
Title: Fitting Interpretable Neural Additive Models Using
        Orthogonalization
Version: 1.1.0
Authors@R: 
    person("David", "Köhler", , "koehler@imbie.uni-bonn.de", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0006-0027-4046"))
Description: An algorithm for fitting interpretable additive neural
    networks for identifiable and visualizable feature effects using post
    hoc orthogonalization. Fit custom neural networks intuitively using
    established 'R' 'formula' notation, including interaction effects of
    arbitrary order while preserving identifiability to enable a
    functional decomposition of the prediction function. For more details see 
    Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
License: MIT + file LICENSE
BugReports: https://github.com/Koehlibert/ONAM_R/issues
Depends: keras3, reticulate
Imports: dplyr, scales, rlang, ggplot2, pROC
Suggests: akima, RColorBrewer, testthat (>= 3.0.0)
Encoding: UTF-8
Config/testthat/edition: 3
NeedsCompilation: no
Config/roxygen2/version: 8.0.0
Packaged: 2026-08-24 08:26:46 UTC; koehler
Author: David Köhler [aut, cre] (ORCID:
    <https://orcid.org/0009-0006-0027-4046>)
Maintainer: David Köhler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2026-08-24 09:20:15 UTC
