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 |
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:
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