longpower: Sample Size Calculations for Longitudinal Data

The longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle et al (2002). Either formula is expressed in terms of marginal model or Generalized Estimating Equations (GEE) parameters. This package contains functions which translate pilot mixed effect model parameters (e.g. random intercept and/or slope) into marginal model parameters so that the formulas of Diggle et al or Liu and Liang formula can be applied to produce sample size calculations for two sample longitudinal designs assuming known variance.

Version: 1.0-16
Depends: R (≥ 3.0.0), lme4 (≥ 1.0), nlme
Suggests: knitr, gee, testthat, methods
Published: 2016-07-25
Author: Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Maintainer: Michael C. Donohue <mdonohue at usc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bitbucket.org/mdonohue/longpower
NeedsCompilation: no
Citation: longpower citation info
In views: ClinicalTrials
CRAN checks: longpower results


Reference manual: longpower.pdf
Vignettes: Power calculations for longitudinal data
Package source: longpower_1.0-16.tar.gz
Windows binaries: r-devel: longpower_1.0-16.zip, r-release: longpower_1.0-16.zip, r-oldrel: longpower_1.0-16.zip
OS X El Capitan binaries: r-release: longpower_1.0-16.tgz
OS X Mavericks binaries: r-oldrel: longpower_1.0-16.tgz
Old sources: longpower archive


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