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.
|Author||Michael C. Donohue, Anthony C. Gamst, Steven D. Edland|
|Date of publication||2016-07-25 20:36:27|
|Maintainer||Michael C. Donohue <firstname.lastname@example.org>|
|License||GPL (>= 2)|
diggle.linear.power: Sample size calculations for difference in slopes between two...
edland.linear.power: Linear mixed model sample size calculations.
liu.liang.linear.power: Linear mixed model sample size calculations from Liu & Liang...
lmmpower: Sample size calculations for linear mixed models of rate of...
longpower-package: Sample size calculations for longitudinal data
power.longtest: Constructor function for class '"power.longtest"'
power.mmrm: Linear mixed model sample size calculations.
power.mmrm.ar1: Linear mixed model sample size calculations.
print.power.longtest: Print method for longitudinal data power calculation object