gamboostLSS: Boosting Methods for GAMLSS

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data.

Version: 1.1-2
Depends: R (≥ 2.10.0), mboost (≥ 2.3-0)
Suggests: gamlss, BayesX, gamlss.dist, survival
Published: 2014-06-26
Author: Benjamin Hofner, Andreas Mayr, Nora Fenske, Matthias Schmid
Maintainer: Benjamin Hofner <benjamin.hofner at fau.de>
License: GPL-2
URL: For development versions and source code see http://r-forge.r-project.org/projects/gamboostlss/
NeedsCompilation: no
Citation: NA
Materials: NA
In views: MachineLearning
CRAN checks: gamboostLSS results

Downloads:

Reference manual: gamboostLSS.pdf
Package source: gamboostLSS_1.1-2.tar.gz
Windows binaries: r-devel: gamboostLSS_1.1-2.zip, r-release: gamboostLSS_1.1-2.zip, r-oldrel: gamboostLSS_1.1-2.zip
OS X Snow Leopard binaries: r-release: gamboostLSS_1.1-2.tgz, r-oldrel: gamboostLSS_1.1-2.tgz
OS X Mavericks binaries: r-release: gamboostLSS_1.1-2.tgz
Old sources: gamboostLSS archive

Reverse dependencies:

Reverse enhances: stabs