longpower: Sample Size Calculations for Longitudinal Data

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. 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: 1.0.23
Depends: R (≥ 3.0.0), lme4 (≥ 1.0), nlme
Suggests: gee, testthat, methods, knitr, rmarkdown
Published: 2021-04-20
Author: Michael C. Donohue [aut, cre], Steve D. Edland [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
CRAN checks: longpower results

Downloads:

Reference manual: longpower.pdf
Vignettes: Power for linear models of longitudinal data with applications to Alzheimer's Disease Phase II study design
Package source: longpower_1.0.23.tar.gz
Windows binaries: r-devel: longpower_1.0-21.zip, r-release: longpower_1.0.23.zip, r-oldrel: longpower_1.0-21.zip
macOS binaries: r-release: longpower_1.0.23.tgz, r-oldrel: longpower_1.0.23.tgz
Old sources: longpower archive

Reverse dependencies:

Reverse imports: PSS.Health

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