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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