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glmmrOptim (version 0.3.6)

Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models

Description

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 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) .

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install.packages('glmmrOptim')

Monthly Downloads

225

Version

0.3.6

License

GPL (>= 2)

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Maintainer

Sam Watson

Last Published

December 17th, 2024

Functions in glmmrOptim (0.3.6)

DesignSpace

A GLMM Design Space
glmmrOptim-package

tools:::Rd_package_title("glmmrOptim")
apportion

Generate exact designs from approximate weights
setParallelOptim

Disable or enable parallelised computing