Package: glmmrOptim 0.3.5

Sam Watson

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:Sam Watson [aut, cre], Yi Pan [aut]

glmmrOptim_0.3.5.tar.gz
glmmrOptim_0.3.5.zip(r-4.5)glmmrOptim_0.3.5.zip(r-4.4)glmmrOptim_0.3.5.zip(r-4.3)
glmmrOptim_0.3.5.tgz(r-4.4-x86_64)glmmrOptim_0.3.5.tgz(r-4.4-arm64)glmmrOptim_0.3.5.tgz(r-4.3-x86_64)glmmrOptim_0.3.5.tgz(r-4.3-arm64)
glmmrOptim_0.3.5.tar.gz(r-4.5-noble)glmmrOptim_0.3.5.tar.gz(r-4.4-noble)
glmmrOptim_0.3.5.tgz(r-4.4-emscripten)glmmrOptim_0.3.5.tgz(r-4.3-emscripten)
glmmrOptim.pdf |glmmrOptim.html✨
glmmrOptim/json (API)

Peer review:

Bug tracker:https://github.com/samuel-watson/glmmroptim/issues

On CRAN:

3 exports 1 stars 1.07 score 58 dependencies 877 downloads

Last updated 4 months agofrom:611701f1a5. Checks:OK: 9. Indexed: yes.

Exports:apportionDesignSpacesetParallelOptim

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdigestdistributionalfansifarvergenericsggplot2glmmrBasegluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelRcppProgressrlangrminqarstanrstantoolsscalesSparseCholStanHeaderstensorAtibbleutf8vctrsviridisLitewithr