robustgam: Robust Estimation for Generalized Additive Models

This package provides robust estimation for generalized additive models. It implements a fast and stable algorithm in Wong, Yao and Lee (2013). The implementation also contains three automatic selection methods for smoothing parameter. They are designed to be robust to outliers. For more details, see Wong, Yao and Lee (2013).

Version: 0.1.7
Depends: Rcpp (≥ 0.9.13), RcppArmadillo (≥ 0.3.4.4) , mgcv (≥ 1.7-20), robustbase (≥ 0.9-3)
LinkingTo: Rcpp, RcppArmadillo
Published: 2014-01-02
Author: Raymond K. W. Wong, Fang Yao and Thomas C. M. Lee
Maintainer: Raymond K. W. Wong <raymondkww.dev at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: robustgam results

Downloads:

Reference manual: robustgam.pdf
Package source: robustgam_0.1.7.tar.gz
Windows binaries: r-devel: robustgam_0.1.7.zip, r-release: robustgam_0.1.7.zip, r-oldrel: robustgam_0.1.7.zip
OS X Snow Leopard binaries: r-release: robustgam_0.1.7.tgz, r-oldrel: robustgam_0.1.7.tgz
OS X Mavericks binaries: r-release: robustgam_0.1.7.tgz
Old sources: robustgam archive