Man pages for SteppedPower
Power Calculation for Stepped Wedge Designs
| 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 'NA' and '1' for unobserved and... |
| construct_timeAdjust | Construct the time period adjustment in the design matrix |
| construct_trtMat | Construct Treatment Matrix |
| glsPower | Compute power via weighted least squares |
| plot_CellWeights | plot cell contributions (weights) of a gls object |
| plot_CovMat | Visualise a Covariance Matrix |
| plot.DesMat | plot.DesMat |
| plot.glsPower | plot an object of class 'glsPower' |
| 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... |
