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: | 1.0-21 |
Depends: | R (≥ 3.0.0), lme4 (≥ 1.0), nlme |
Suggests: | knitr, gee, testthat, methods |
Published: | 2020-04-21 |
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 |
Reference manual: | longpower.pdf |
Vignettes: |
Power calculations for longitudinal data |
Package source: | longpower_1.0-21.tar.gz |
Windows binaries: | r-devel: longpower_1.0-21.zip, r-release: longpower_1.0-21.zip, r-oldrel: longpower_1.0-21.zip |
macOS binaries: | r-release: longpower_1.0-21.tgz, r-oldrel: longpower_1.0-21.tgz |
Old sources: | longpower archive |
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