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. 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:	1.0.25
Depends:	R (≥ 3.0.0), lme4 (≥ 1.0), nlme
Imports:	methods
Suggests:	gee, testthat, knitr, rmarkdown
Published:	2024-01-24
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

Documentation:

Reference manual:	longpower.pdf
Vignettes:	Power for linear models of longitudinal data with applications to Alzheimer's Disease Phase II study design

Downloads:

Package source:	longpower_1.0.25.tar.gz
Windows binaries:	r-devel: longpower_1.0.25.zip, r-release: longpower_1.0.25.zip, r-oldrel: longpower_1.0.25.zip
macOS binaries:	r-release (arm64): longpower_1.0.25.tgz, r-oldrel (arm64): longpower_1.0.25.tgz, r-release (x86_64): longpower_1.0.25.tgz, r-oldrel (x86_64): longpower_1.0.25.tgz
Old sources:	longpower archive

Reverse dependencies:

Reverse imports:

PSS.Health

Linking:

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