Package: RBF
Type: Package
Title: Robust Backfitting
Version: 2.1.0
Date: 2021-04-08
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: 7.1.1
Encoding: UTF-8
Imports: stats, graphics
Suggests: knitr, rmarkdown, gam, RobStatTM, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-04-09 15:38:45 UTC; Matias
Author: Matias Salibian-Barrera [aut, cre],
  Alejandra Martinez [aut]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2021-04-09 23:40:09 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-04-10 02:12:06 UTC; windows
Archs: x64
