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>). For detecting and modeling subgroups in growth curves with GLMM trees see Fokkema & Zeileis (2024; <doi:10.3758/s13428-024-02389-1>).
Version: 0.2-6 Depends: R (≥ 4.0.0), lme4, partykit (≥ 1.0-4) Imports: graphics, stats, utils, Formula Suggests: vcd, lattice, betareg, glmmTMB, lmerTest Published: 2024-11-05 DOI: 10.32614/CRAN.package.glmertree 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=glmertree to link to this page.
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