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gamboostLSS: Boosting Methods for 'GAMLSS'

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

Version: 2.0-7
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: 2023-03-09
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

Documentation:

Reference manual: gamboostLSS.pdf
Vignettes: gamboostLSS Tutorial

Downloads:

Package source: gamboostLSS_2.0-7.tar.gz
Windows binaries: r-devel: gamboostLSS_2.0-7.zip, r-release: gamboostLSS_2.0-7.zip, r-oldrel: gamboostLSS_2.0-7.zip
macOS binaries: r-release (arm64): gamboostLSS_2.0-7.tgz, r-oldrel (arm64): gamboostLSS_2.0-7.tgz, r-release (x86_64): gamboostLSS_2.0-7.tgz, r-oldrel (x86_64): gamboostLSS_2.0-7.tgz
Old sources: gamboostLSS archive

Reverse dependencies:

Reverse imports: FDboost
Reverse suggests: stabs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gamboostLSS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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