glmmr-package: Design and analysis for generalised linear mixed models in R
In samuel-watson/glmmr: Design and analysis for generalised linear mixed models in R
glmmr-package R Documentation
Design and analysis for generalised linear mixed models in R
Description
Design analysis tools for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and spatio-temporal epidemiological models, and split-plot designs.
Package Content
Index: This package was not yet installed at build time.
Maintainer
Sam Watson <S.I.Watson@bham.ac.uk>
Author(s)
Sam Watson [aut, cre],
Yi Pan [aut]
samuel-watson/glmmr documentation built on July 27, 2022, 10:30 p.m.
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| glmmr-package | R Documentation |
Design and analysis for generalised linear mixed models in R
Description
Design analysis tools for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and spatio-temporal epidemiological models, and split-plot designs.
Package Content
Index: This package was not yet installed at build time.
Maintainer
Sam Watson <S.I.Watson@bham.ac.uk>
Author(s)
Sam Watson [aut, cre], Yi Pan [aut]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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