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>.
Version: 0.3.6 Depends: R (≥ 3.4.0), Matrix, glmmrBase Imports: methods, Rcpp (≥ 1.0.7), digest LinkingTo: Rcpp (≥ 1.0.7), RcppEigen, RcppProgress, glmmrBase (≥ 0.4.6), SparseChol (≥ 0.2.1), BH, rminqa (≥ 0.2.2) Suggests: testthat, CVXR Published: 2024-12-17 DOI: 10.32614/CRAN.package.glmmrOptim 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=glmmrOptim to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4