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 and Pan (2022) <arXiv:2207.09183>.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.4.0), Matrix, glmmrBase |
| Imports: | methods, Rcpp (≥ 1.0.7), digest |
| LinkingTo: | Rcpp (≥ 1.0.7), RcppEigen, glmmrBase (≥ 0.2.3) |
| Suggests: | testthat, CVXR |
| Published: | 2023-01-20 |
| Author: | Sam Watson [aut, cre], Yi Pan [aut] |
| Maintainer: | Sam Watson <S.I.Watson at bham.ac.uk> |
| BugReports: | https://github.com/samuel-watson/glmmrOptim/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/samuel-watson/glmmrOptim |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | glmmrOptim results |
| Reference manual: | glmmrOptim.pdf |
| Package source: | glmmrOptim_0.2.2.tar.gz |
| Windows binaries: | r-devel: glmmrOptim_0.2.2.zip, r-release: glmmrOptim_0.2.2.zip, r-oldrel: glmmrOptim_0.2.2.zip |
| macOS binaries: | r-release (arm64): glmmrOptim_0.2.2.tgz, r-oldrel (arm64): glmmrOptim_0.2.2.tgz, r-release (x86_64): glmmrOptim_0.2.2.tgz, r-oldrel (x86_64): glmmrOptim_0.2.2.tgz |
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