# Power Calculation for Stepped Wedge Designs

## Documentation for package ‘SteppedPower’ version 0.3.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## 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