Win Ratio Analysis of Composite Time-to-Event Outcomes

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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