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Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. The package is described in Iddi and Donohue (2022) <doi:10.32614/RJ-2022-022>. Relevant formulas are derived by Liu and Liang (1997) <doi:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <doi:10.2202/1557-4679.1098>.
Version: | 1.0.27 |
Depends: | R (≥ 3.0.0), lme4 (≥ 1.0), nlme |
Imports: | methods |
Suggests: | gee, testthat, knitr, rmarkdown |
Published: | 2024-09-05 |
DOI: | 10.32614/CRAN.package.longpower |
Author: | Michael C. Donohue [aut, cre], Steve D. Edland [ctb], Nan Hu [ctb] |
Maintainer: | Michael C. Donohue <mdonohue at usc.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/mcdonohue/longpower |
NeedsCompilation: | no |
Citation: | longpower citation info |
In views: | ClinicalTrials, MixedModels |
CRAN checks: | longpower results |
Reference manual: | longpower.pdf |
Vignettes: |
Power for linear models of longitudinal data with applications to Alzheimer's Disease Phase II study design (source, R code) |
Package source: | longpower_1.0.27.tar.gz |
Windows binaries: | r-devel: longpower_1.0.27.zip, r-release: longpower_1.0.27.zip, r-oldrel: longpower_1.0.27.zip |
macOS binaries: | r-release (arm64): longpower_1.0.27.tgz, r-oldrel (arm64): longpower_1.0.27.tgz, r-release (x86_64): longpower_1.0.27.tgz, r-oldrel (x86_64): longpower_1.0.27.tgz |
Old sources: | longpower archive |
Reverse imports: | PSS.Health |
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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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