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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 |
Reference manual: | mermboost.pdf |
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 |
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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.