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]

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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:

9 exports 2 stars 2.13 score 10 dependencies 1 dependents 4 mentions 23 scripts 1.9k downloads

Last updated 13 days agofrom:189c4b023a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 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 Sep 04 2024.

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