The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

GMMBoost: Likelihood-Based Boosting for Generalized Mixed Models

Likelihood-based boosting approaches for generalized mixed models are provided.

Version: 1.1.5
Imports: minqa, magic
Published: 2023-08-19
Author: Andreas Groll
Maintainer: Andreas Groll <groll at mathematik.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
In views: MachineLearning
CRAN checks: GMMBoost results

Documentation:

Reference manual: GMMBoost.pdf

Downloads:

Package source: GMMBoost_1.1.5.tar.gz
Windows binaries: r-devel: GMMBoost_1.1.5.zip, r-release: GMMBoost_1.1.5.zip, r-oldrel: GMMBoost_1.1.5.zip
macOS binaries: r-release (arm64): GMMBoost_1.1.5.tgz, r-oldrel (arm64): GMMBoost_1.1.5.tgz, r-release (x86_64): GMMBoost_1.1.5.tgz, r-oldrel (x86_64): GMMBoost_1.1.5.tgz
Old sources: GMMBoost archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GMMBoost 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.
Health stats visible at Monitor.