glmmrOptim
Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) <doi:10.1177/09622802231202379>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.7 |
2026-04-09 windows/windows R-4.5 | glmmrOptim_0.3.7.zip |
889.6 KiB |
0.3.6 |
2025-04-20 source/ R- | glmmrOptim_0.3.6.tar.gz |
35.2 KiB |