SteppedPower-package |
SteppedPower |
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 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 |