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glmertree: Generalized Linear Mixed Model Trees

Recursive partitioning based on (generalized) linear mixed models (GLMMs) combining lmer()/glmer() from 'lme4' and lmtree()/glmtree() from 'partykit'. The fitting algorithm is described in more detail in Fokkema, Smits, Zeileis, Hothorn & Kelderman (2018; <doi:10.3758/s13428-017-0971-x>).

Version: 0.2-4
Depends: R (≥ 4.0.0), lme4, partykit (≥ 1.0-4)
Imports: graphics, stats, utils, Formula
Suggests: vcd, lattice, betareg, glmmTMB
Published: 2023-09-09
Author: Marjolein Fokkema [aut, cre], Achim Zeileis [aut]
Maintainer: Marjolein Fokkema <M.Fokkema at fsw.leidenuniv.nl>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: glmertree citation info
Materials: NEWS
In views: MachineLearning, MixedModels
CRAN checks: glmertree results

Documentation:

Reference manual: glmertree.pdf
Vignettes: Fitting Generalized Linear Mixed-Effects Model Trees

Downloads:

Package source: glmertree_0.2-4.tar.gz
Windows binaries: r-devel: glmertree_0.2-4.zip, r-release: glmertree_0.2-4.zip, r-oldrel: glmertree_0.2-4.zip
macOS binaries: r-release (arm64): glmertree_0.2-4.tgz, r-oldrel (arm64): glmertree_0.2-4.tgz, r-release (x86_64): glmertree_0.2-4.tgz, r-oldrel (x86_64): glmertree_0.2-4.tgz
Old sources: glmertree archive

Reverse dependencies:

Reverse imports: FREEtree
Reverse suggests: buildmer, pre

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glmertree 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.
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