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mermboost: Gradient Boosting for Generalized Additive Mixed Models

Provides a novel framework to estimate mixed models via gradient boosting. The implemented functions are based on 'mboost' and 'lme4'. Hence, the family range is predetermined by 'lme4'. A correction mechanism for cluster-constant covariates is implemented as well as an estimation of random effects' covariance.

Version: 0.1.0
Depends: R (≥ 3.5.0), mboost, lme4
Imports: stabs, data.table, MASS, Matrix, parallel, stringr, tibble
Published: 2025-02-24
DOI: 10.32614/CRAN.package.mermboost
Author: Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth Bergherr [aut], Colin Griesbach [aut]
Maintainer: Lars Knieper <lars.knieper at uni-goettingen.de>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: mermboost results

Documentation:

Reference manual: mermboost.pdf

Downloads:

Package source: mermboost_0.1.0.tar.gz
Windows binaries: r-devel: mermboost_0.1.0.zip, r-release: mermboost_0.1.0.zip, r-oldrel: mermboost_0.1.0.zip
macOS binaries: r-devel (arm64): mermboost_0.1.0.tgz, r-release (arm64): mermboost_0.1.0.tgz, r-oldrel (arm64): mermboost_0.1.0.tgz, r-devel (x86_64): mermboost_0.1.0.tgz, r-release (x86_64): mermboost_0.1.0.tgz, r-oldrel (x86_64): mermboost_0.1.0.tgz

Linking:

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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.