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.
- Version0.3.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/02/2024
Team
Sam Watson
MaintainerShow author detailsYi Pan
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 235 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 5,694 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 73 downloads.
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Dependencies
- Depends2 packages
- Imports2 packages
- Suggests2 packages
- Linking To7 packages