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
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longpower_1.0.27.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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:

5.49 score 5 stars 31 scripts 730 downloads 4 mentions 9 exports 13 dependencies

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

Target	Result	Time
linux-devel	OK	150
source / vignettes	OK	193
linux-release	OK	172
macos-release	OK	151
macos-oldrel	OK	152
windows-devel	OK	95
windows-release	OK	92
windows-oldrel	OK	94
wasm-release	OK	119

Exports:cprm.power diggle.linear.power edland.linear.power hu.mackey.thomas.linear.power liu.liang.linear.power lmmpower power.longtest power.mmrm power.mmrm.ar1

Dependencies:boot lattice lme4 MASS Matrix minqa nlme nloptr rbibutils Rcpp RcppEigen Rdpack reformulas

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

Introduction | Power calculations | Exchangeable correlation and random intercept models | General correlation and random slope models | References

Rendered fromlongpower.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Chronic progressive repeated measures (CPRM) model sample size calculations.	cprm.power
Sample size calculations for difference in slopes between two groups.	diggle.linear.power
Linear mixed model sample size calculations.	edland.linear.power
Random coefficient regression models (RCRM) sample size calculations	hu.mackey.thomas.linear.power
Linear mixed model sample size calculations from Liu & Liang (1997).	liu.liang.linear.power
Sample size calculations for linear mixed models of rate of change based on lmer, lme, or gee "placebo" pilot estimates.	lmmpower lmmpower,ANY-method lmmpower,merMod-method lmmpower-methods lmmpower.default lmmpower.double lmmpower.gee lmmpower.lme lmmpower.numeric
Constructor function for class '"power.longtest"'	power.longtest
Linear mixed model sample size calculations.	power.mmrm
Linear mixed model sample size calculations.	power.mmrm.ar1
Print method for longitudinal data power calculation object	print.power.longtest