Package: longpower 1.0.27

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>.

Authors:Michael C. Donohue [aut, cre], Steve D. Edland [ctb], Nan Hu [ctb]

longpower_1.0.27.tar.gz
longpower_1.0.27.zip(r-4.7)longpower_1.0.27.zip(r-4.6)longpower_1.0.27.zip(r-4.5)
longpower_1.0.27.tgz(r-4.6-any)longpower_1.0.27.tgz(r-4.5-any)
longpower_1.0.27.tar.gz(r-4.7-any)longpower_1.0.27.tar.gz(r-4.6-any)
longpower_1.0.27.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
longpower/json (API)

# Install 'longpower' in R:
install.packages('longpower', repos = c('https://mcdonohue.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mcdonohue/longpower/issues

On CRAN:

Conda:

5.77 score 3 stars 1 packages 30 scripts 1.1k downloads 4 mentions 9 exports 14 dependencies

Last updated from:189c4b023a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK189
linux-release-x86_64OK150
macos-release-arm64OK152
macos-oldrel-arm64OK143
windows-develOK92
windows-releaseOK99
windows-oldrelOK117
wasm-releaseOK113

Exports:cprm.powerdiggle.linear.poweredland.linear.powerhu.mackey.thomas.linear.powerliu.liang.linear.powerlmmpowerpower.longtestpower.mmrmpower.mmrm.ar1

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlang

Power for linear models of longitudinal data with applications to Alzheimer's Disease Phase II study design

Rendered fromlongpower.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2024-08-27
Started: 2020-04-20