Package: glmmrOptim 0.5.1
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>.
Authors:
glmmrOptim_0.5.1.tar.gz
glmmrOptim_0.5.1.zip(r-4.7)glmmrOptim_0.5.1.zip(r-4.6)glmmrOptim_0.5.1.zip(r-4.5)
glmmrOptim_0.5.1.tgz(r-4.6-x86_64)glmmrOptim_0.5.1.tgz(r-4.6-arm64)glmmrOptim_0.5.1.tgz(r-4.5-x86_64)glmmrOptim_0.5.1.tgz(r-4.5-arm64)
glmmrOptim_0.5.1.tar.gz(r-4.7-arm64)glmmrOptim_0.5.1.tar.gz(r-4.7-x86_64)glmmrOptim_0.5.1.tar.gz(r-4.6-arm64)glmmrOptim_0.5.1.tar.gz(r-4.6-x86_64)
glmmrOptim_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
glmmrOptim/json (API)
| # Install 'glmmrOptim' in R: |
| install.packages('glmmrOptim', repos = c('https://samuel-watson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/samuel-watson/glmmroptim/issues
Last updated from:43ceb87374. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 202 | ||
| linux-devel-x86_64 | OK | 196 | ||
| source / vignettes | OK | 268 | ||
| linux-release-arm64 | OK | 180 | ||
| linux-release-x86_64 | OK | 203 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-release-x86_64 | OK | 261 | ||
| macos-oldrel-arm64 | OK | 115 | ||
| macos-oldrel-x86_64 | OK | 339 | ||
| windows-devel | OK | 199 | ||
| windows-release | OK | 202 | ||
| windows-oldrel | OK | 196 | ||
| wasm-release | OK | 146 |
Exports:apportionDesignSpacesetParallelOptim
Dependencies:BHdigestglmmrBaselatticeMatrixR6RcppRcppEigenRcppParallelRcppProgressrminqaSparseChol
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models | glmmrOptim-package glmmrOptim |
| Generate exact designs from approximate weights | apportion |
| A GLMM Design Space | DesignSpace |
| Disable or enable parallelised computing | setParallelOptim |
