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>).
    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 | 
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