longpower (1.0-16.1)

0 users

Sample Size Calculations for Longitudinal Data.


The longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle et al (2002). Either formula is expressed in terms of marginal model or Generalized Estimating Equations (GEE) parameters. This package contains functions which translate pilot mixed effect model parameters (e.g. random intercept and/or slope) into marginal model parameters so that the formulas of Diggle et al or Liu and Liang formula can be applied to produce sample size calculations for two sample longitudinal designs assuming known variance.

Maintainer: Michael C. Donohue
Author(s): Michael C. Donohue, Anthony C. Gamst, Steven D. Edland

License: GPL (>= 2)

Uses: lme4, nlme, gee, testthat, knitr

Released 5 months ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of longpower yet. Want to be the first? Write one now.

Related packages: GroupSeq, HH, Hmisc, asypow, blockrand, clinfun, coin, conf.design, epibasix, experiment, ldbounds, meta, multcomp, pwr, qtlDesign, rmeta, ssanv, survival, FrF2, MCPMod(20 best matches, based on common tags.)

Search for longpower on google, google scholar, r-help, r-devel.

Visit longpower on R Graphical Manual.