GMMBoost: Likelihood-Based Boosting for Generalized Mixed Models

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

Version:	1.1.3
Imports:	minqa, magic
Published:	2020-02-03
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_1.1.3.tar.gz
Windows binaries:	r-devel: GMMBoost_1.1.3.zip, r-release: GMMBoost_1.1.3.zip, r-oldrel: GMMBoost_1.1.3.zip
macOS binaries:	r-release (arm64): GMMBoost_1.1.3.tgz, r-oldrel (arm64): GMMBoost_1.1.3.tgz, r-release (x86_64): GMMBoost_1.1.3.tgz, r-oldrel (x86_64): GMMBoost_1.1.3.tgz
Old sources:	GMMBoost archive

Reverse dependencies:

Reverse imports:

glmmLasso

Linking:

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