Creates Group Sequential Trial Designs when Early Outcomes are Available

Documentation for package ‘gsearly’ version 1.0.0

gsearly-package	Group sequential designs with early outcomes
corrExp	Exponential correlation matrix
corrUnif	Uniform correlation matrix
dataOrder	Order a data frame by subject and ordered time variable
expectSampsize	Expected sample size for a gsearly model
fixedSampsize	Fixed model sample size for a gsearly model
gsearly	Group sequential designs with early outcomes
gsearlyFit	Fit a generalized least squares model
gsearlyModel	Model based estimates of sample size and power for group sequential designs with early outcomes
gsearlySimulate	Simulates data for a previously fitted gsearly model
gsearlyUser	User input estimates of sample size and power for group sequential designs with early outcomes
modelParameters	Estimates model parameters from raw data
plot.gsearly	Plot a gsearly model
plotBoundary	A boundary plot for a gsearly model
plotInform	An information plot for a gsearly model
plotPower	A power plot for a gsearly model
plotRecruit	A recruitment plot for a gsearly model
print.gsearly	Print a gsearly model
print.summary.gsearly	Print a gsearly model summary
qol	Quality of life index for patients with knee pain
roundInterims	Round a gsearly design interim sample size to integer values
simdataExtract	Extract simulated data for a single trial
summary.gsearly	Summarise a gsearly model
tfuStandard	Standardize follow-up times