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: | 0.1-2 |
Depends: | R (≥ 3.1.0), lme4, partykit (≥ 1.0-4) |
Imports: | graphics, stats, utils, Formula |
Suggests: | vcd, lattice |
Published: | 2019-02-20 |
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 |
CRAN checks: | glmertree results |
Reference manual: | glmertree.pdf |
Vignettes: |
Detecting Treatment-Subgroup Interactions with Generalized Linear Mixed-Effects Model Trees |
Package source: | glmertree_0.1-2.tar.gz |
Windows binaries: | r-devel: glmertree_0.1-2.zip, r-release: glmertree_0.1-2.zip, r-oldrel: glmertree_0.1-2.zip |
OS X binaries: | r-release: glmertree_0.1-2.tgz, r-oldrel: glmertree_0.1-2.tgz |
Old sources: | glmertree archive |
Reverse suggests: | pre |
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