Power Calculation for Stepped Wedge Designs

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Documentation for package ‘SteppedPower’ version 0.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

alpha012_to_RandEff	Correlation structure: transform alpha to random effects
compute_glsPower	Compute power via weighted least squares
compute_InfoContent	Title Formula-based calculation of information content
construct_CovBlk	Construct a Single Block of the Covariance Matrix
construct_CovMat	Construct a Covariance Matrix
construct_CovSubMat	Construct a Block of the Covariance Matrix
construct_DesMat	Construct the Design Matrix
construct_incompMat	Constructs a matrix of 0 and 1 for unobserved and observed cluster periods, respectively.
construct_timeAdjust	Construct the time period adjustment in the design matrix
construct_trtMat	Construct Treatment Matrix
glsPower	Compute power via weighted least squares
plot.DesMat	plot.DesMat
plot.glsPower	plot an object of class 'glsPower'
plot_CellWeights	plot cell contributions (weights) of a gls object
plot_CovMat	Visualise a Covariance Matrix
plot_InfoContent	plot the information content of a gls object
print.DesMat	print.DesMat
print.glsPower	Print an object of class 'glsPower'
RandEff_to_alpha012	Correlation structure: transform random effects to alpha
SteppedPower-pkg	SteppedPower
tTestPwr	Compute Power of a Wald Test
VarClosed_Kasza	Closed formula for treatment variance in open cohort settings
VarClosed_Li	Closed formula for treatment variance, with proportional decay