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).
- Version0.2-6
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- glmertree citation info
- Last release11/05/2024
Documentation
Team
Marjolein Fokkema
Achim Zeileis
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Last 30 days
This package has been downloaded 1,184 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 49 times.
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Last 365 days
This package has been downloaded 13,281 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Nov 05, 2024 with 164 downloads.
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Dependencies
- Depends2 packages
- Imports1 package
- Suggests5 packages
- Reverse Imports1 package
- Reverse Suggests2 packages