# Power Calculation for Stepped Wedge Designs

## Documentation for package ‘SteppedPower’ version 0.1.0

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

## Help Pages

compute_wlsPower | Compute Power via weighted least squares
construct_CovBlk | Construct a Block of the Covariance Matrix
construct_CovMat | Construct a Covariance Matrix constructs a (block diagonal) covariance matrix. This function calls 'construct_CovBlk' (or 'construct_CovSubMat' in case of repeated observations of the same individuals) for each block.
construct_CovSubMat | Construct a Block of the Covariance Matrix

construct_DesMat

Construct the Design Matrix Constructs the design matrix with one column for every (fixed) parameter to be estimated and one row for every cluster for every timepoint. This function calls 'construct_trtMat' to construct a matrix with '#cluster' columns and '#timepoints' rows, indicating treatment status fore each cluster at each timepoint. This is then transformed into the first column of the design matrix. 'construct_CovMat' further calls 'construct_timeajust' to get the fixed effect(s) of the timepoints. Note: Unlike the usual notation, the treatment effect is in the first column (for easier access by higher level functions).

construct_timeadjust | Construct the time period adjustment in the design matrix
construct_trtMat | Construct Treatment Matrix
plot.DesMat | plot.DesMat
plot.wlsPower | plot an object of class 'wlsPower'
print.DesMat | print.DesMat
print.wlsPower | print.wlsPower
SteppedPower-pkg | SteppedPower
tTestPwr | Compute Power of a Wald Test computes the power of a scaled Wald test given a standard error, an effect size, the degrees of freedom of the t-distribution and a significance level. Computes the exact power, see second example
wlsPower | Compute power