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simr: Power Analysis for Generalised Linear Mixed Models by Simulation

Calculate power for generalised linear mixed models, using simulation. Designed to work with models fit using the 'lme4' package. Described in Green and MacLeod, 2016 <doi:10.1111/2041-210X.12504>.

Version: 1.0.7
Depends: lme4 (≥ 1.1-16)
Imports: binom, iterators, pbkrtest, plotrix, plyr, RLRsim, stringr, stats, methods, utils, graphics, grDevices, car, lmerTest (≥ 3.0-0)
Suggests: testthat, knitr, rmarkdown
Published: 2023-04-13
Author: Peter Green ORCID iD [aut, cre], Catriona MacLeod [aut], Phillip Alday [ctb]
Maintainer: Peter Green <simr.peter at gmail.com>
BugReports: https://github.com/pitakakariki/simr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/pitakakariki/simr
NeedsCompilation: no
Citation: simr citation info
Materials: README NEWS
In views: MixedModels
CRAN checks: simr results

Documentation:

Reference manual: simr.pdf
Vignettes: Test examples
Power analysis from scratch

Downloads:

Package source: simr_1.0.7.tar.gz
Windows binaries: r-devel: simr_1.0.7.zip, r-release: simr_1.0.7.zip, r-oldrel: simr_1.0.7.zip
macOS binaries: r-release (arm64): simr_1.0.7.tgz, r-oldrel (arm64): simr_1.0.7.tgz, r-release (x86_64): simr_1.0.7.tgz, r-oldrel (x86_64): simr_1.0.7.tgz
Old sources: simr archive

Reverse dependencies:

Reverse suggests: mlpwr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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