R: Win Ratio Analysis of Composite Time-to-Event Outcomes

# Win Ratio Analysis of Composite Time-to-Event Outcomes

## Documentation for package ‘WR’ version 1.0

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

## Help Pages

base | Compute the baseline parameters needed for sample size calculation for standard win ratio test
gbc | A subset of the German Breast Cancer study data
gumbel.est | Estimate baseline parameters in the Gumbel-Hougaard model for sample size calculation using pilot data
hfaction_cpx9 | A subset of the HF-ACTION study data on high-risk non-ischemic heart failure patients
non_ischemic | A subset of the HF-ACTION study data on non-ischemic heart failure patients with full covariate measurement.
plot.pwreg.score | Plot the standardized score processes
print.pwreg | Print the results of the proportional win-fractions regression model
print.pwreg.score | Print information on the content of the pwreg.score object
print.WRrec | Print the results of the two-sample recurrent-event win ratio analysis
pwreg | Fit a standard proportional win-fractions (PW) regression model
score.proc | Computes the standardized score processes
WRrec | Generalized win ratio tests
WRSS | Compute the sample size for standard win ratio test