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-4.5)longpower_1.0.27.zip(r-4.4)longpower_1.0.27.zip(r-4.3)
longpower_1.0.27.tgz(r-4.4-any)longpower_1.0.27.tgz(r-4.3-any)
longpower_1.0.27.tar.gz(r-4.5-noble)longpower_1.0.27.tar.gz(r-4.4-noble)
longpower_1.0.27.tgz(r-4.4-emscripten)longpower_1.0.27.tgz(r-4.3-emscripten)
longpower.pdf |longpower.html✨
longpower/json (API)

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

Peer review:

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

On CRAN:

5.95 score 2 stars 1 packages 22 scripts 1.1k downloads 4 mentions 9 exports 10 dependencies

Last updated 2 months agofrom:189c4b023a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

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

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen

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

Michael C. Donohue

Rendered fromlongpower.Rmdusingknitr::rmarkdownon Nov 03 2024.

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