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
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.