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
Last 365 days
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
- Imports2 packages
- Suggests2 packages
- Linking To7 packages