Package: RBF
Type: Package
Title: Robust Backfitting
Version: 2.1.1
Date: 2023-08-31
Authors@R: c(person("Matias", "Salibian-Barrera", role = c("aut", "cre"), email = "matias@stat.ubc.ca"),
             person("Alejandra", "Martinez", role=c("aut"), email="ale_m_martinez@hotmail.com")
            )
Description: A robust backfitting algorithm for additive models based
        on (robust) local polynomial kernel smoothers. It includes both
        bounded and re-descending (kernel) M-estimators, and it
        computes predictions for points outside the training set if
        desired. See Boente, Martinez and Salibian-Barrera (2017)
        <doi:10.1080/10485252.2017.1369077> and Martinez and
        Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.
License: GPL (>=3.0)
RoxygenNote: 7.2.3
Encoding: UTF-8
Imports: stats, graphics
Suggests: knitr, rmarkdown, gam, RobStatTM, MASS
VignetteBuilder: knitr
Repository: https://msalibian.r-universe.dev
Date/Publication: 2023-08-31 15:05:33 UTC
RemoteUrl: https://github.com/msalibian/rbf
RemoteRef: HEAD
RemoteSha: 3b0d5539956b894f37e296d20daf2b4d55a0e952
NeedsCompilation: yes
Packaged: 2026-07-04 06:45:52 UTC; root
Author: Matias Salibian-Barrera [aut, cre],
  Alejandra Martinez [aut]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>