glmertree

Generalized Linear Mixed Model Trees

CRAN Package

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).


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Insights

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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15 downloadsFeb 16, 2025
66 downloadsFeb 17, 2025
24 downloadsFeb 18, 2025
32 downloadsFeb 19, 2025
99 downloadsFeb 20, 2025
21 downloadsFeb 21, 2025
25 downloadsFeb 22, 2025
60 downloadsFeb 23, 2025
27 downloadsFeb 24, 2025
37 downloadsFeb 25, 2025
70 downloadsFeb 26, 2025
51 downloadsFeb 27, 2025
22 downloadsFeb 28, 2025
53 downloadsMar 1, 2025
27 downloadsMar 2, 2025
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45 downloadsMar 5, 2025
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55 downloadsMar 8, 2025
11 downloadsMar 9, 2025
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28 downloadsMar 11, 2025
29 downloadsMar 12, 2025
88 downloadsMar 13, 2025
21 downloadsMar 14, 2025
30 downloadsMar 15, 2025
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49 downloadsMar 17, 2025
0 downloadsMar 18, 2025
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0 downloadsMar 21, 2025
0 downloadsMar 22, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends2 packages
  • Imports1 package
  • Suggests5 packages
  • Reverse Imports1 package
  • Reverse Suggests2 packages