Package: gdam Title: Fast Robust Additive Models using Gamma Divergence Version: 0.0.1 Date: 2026-09-10 Authors@R: c( person("Francis KC", "Hui", , "fhui28@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0765-3533")), person("Shonosuke", "Sugasawa", , "sugasawa@econ.keio.ac.jp", role = "ctb", comment = c(ORCID = "0000-0002-9495-4280")) ) Description: Provides a computationally efficient method (at least at the time of development!) for robust additive modeling based on the gamma divergence, implementing the methodology of Hui, Ding, and Sugasawa (2026) . The method assumes an identity link and normally distributed errors, and applies the gamma divergence to the resulting restricted maximum likelihood function so as to obtain a loss function that is less sensitive to outlying responses. Because 'gdam' uses a model fitted via the 'mgcv' package as the starting point for optimization, and leverages many of its existing techniques for estimation and inference, users can take advantage of many of the smoothing options available in the 'mgcv' package for constructing additive models. Maintainer: Francis KC Hui License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) Imports: colorspace, ggplot2, gratia, Matrix, mgcv, stats Suggests: spelling, tidyverse Language: en-US URL: https://github.com/fhui28/gdam BugReports: https://github.com/fhui28/gdam/issues Config/roxygen2/version: 8.0.0 RoxygenNote: 7.3.3 Config/pak/sysreqs: libicu-dev Repository: https://fhui28.r-universe.dev Date/Publication: 2026-09-14 09:45:00 UTC RemoteUrl: https://github.com/fhui28/gdam RemoteRef: HEAD RemoteSha: bd330583b2b57ecc7b3919d05b0741068d13059b NeedsCompilation: no Packaged: 2026-09-25 14:41:31 UTC; root Author: Francis KC Hui [aut, cre] (ORCID: ), Shonosuke Sugasawa [ctb] (ORCID: )