gamboostLSS: Boosting Methods for 'GAMLSS'

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

Version: 2.0-1
Depends: R (≥ 2.10.0), mboost (≥ 2.8-0), stabs (≥ 0.5-0), parallel
Imports: graphics, grDevices, stats, utils
Suggests: gamlss, gamlss.dist, survival, BayesX, R2BayesX
Published: 2018-06-15
Author: Benjamin Hofner ORCID iD [aut, cre], Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner at pei.de>
License: GPL-2
URL: For source code, development versions and issue tracker see https://github.com/boost-R/gamboostLSS
NeedsCompilation: no
Citation: gamboostLSS citation info
Materials: README NEWS ChangeLog
In views: MachineLearning
CRAN checks: gamboostLSS results

Downloads:

Reference manual: gamboostLSS.pdf
Vignettes: gamboostLSS Tutorial
Package source: gamboostLSS_2.0-1.tar.gz
Windows binaries: r-devel: gamboostLSS_2.0-1.zip, r-devel-gcc8: gamboostLSS_2.0-1.zip, r-release: gamboostLSS_2.0-1.zip, r-oldrel: gamboostLSS_2.0-1.zip
OS X binaries: r-release: gamboostLSS_2.0-1.tgz, r-oldrel: gamboostLSS_2.0-1.tgz
Old sources: gamboostLSS archive

Reverse dependencies:

Reverse depends: betaboost
Reverse imports: FDboost
Reverse suggests: stabs

Linking:

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