Pwr.lme: Performs power calculations

In SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies

Performs power calculations

Description

This is method for Pwr() generic function. It is a modified version from the one described by Galecki and Burzykowski implemented in nlmeU package (nlmeU::Pwr.lme).

Usage

## S3 method for class 'lme'
Pwr(
  object,
  ...,
  type = c("sequential", "marginal"),
  Terms,
  L,
  verbose = FALSE,
  sigma,
  ddf = numeric(0),
  alpha = 0.05,
  altB = NULL,
  tol = 1e-10
)

Arguments

object	an object containing lme fit, which provides information needed for power calculations
...	some additional arguments may be required.
type	an optional character string specifying the type of sum of squares to be used in F-tests needed for power calculations. Syntax is the same as for anova.lme() in nlme package.
Terms	an optional integer or character vector specifying which terms in the model should be jointly tested to be zero using a Wald F-test. See anova.lme in nlme package for details.
L	an optional numeric vector or array specifying linear combinations of the coefficients in the model that should be tested to be zero. See anova.lme in nlme package for details.
verbose	an optional logical value. See anova.lme in nlme package for details.
sigma	numeric scalar value.
ddf	numeric scalar value. Argument can be used to redefine default number of denominator degrees of freedom
alpha	numeric scalar value. By default 0.05.
altB	matrix/vector containing alternative values for beta parameters
tol	numeric scalar value.

Value

a data frame inheriting from class Pwr.lme

References

• Andrzej Galecki & Tomasz Burzykowski (2013) Linear Mixed-Effects Models Using R: A Step-by-Step Approach First Edition. Springer, New York. ISBN 978-1-4614-3899-1

See Also

nlme::anova.lme, nlmeU::Pwr.lme

SynergyLMM documentation built on April 4, 2025, 4:13 a.m.