R: Creates Group Sequential Trial Designs when Early Outcomes are Available

# Creates Group Sequential Trial Designs when Early Outcomes are Available

## Documentation for package ‘gsearly’ version 1.0.0

- DESCRIPTION file

## Help Pages

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