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
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
NeedsCompilation: no
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libpng-dev python3
Repository: https://koehlibert.r-universe.dev
Date/Publication: 2026-11-03 15:57:06 UTC
RemoteUrl: https://github.com/koehlibert/onam_r
RemoteRef: HEAD
RemoteSha: 1aab3f41f0be348e00b174efd22573f97b125b80
Packaged: 2026-11-03 18:03:29 UTC; root
Author: David Köhler [aut, cre] (ORCID:
    <https://orcid.org/0009-0006-0027-4046>)
Maintainer: David Köhler <koehler@imbie.uni-bonn.de>