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WRSS()
- Compute the sample size for standard win ratio test
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WRrec()
- Generalized win ratio tests
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base()
- Compute the baseline parameters needed for sample size calculation for standard win ratio test
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gbc
- A subset of the German Breast Cancer study data
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gumbel.est()
- Estimate baseline parameters in the Gumbel–Hougaard model for sample size calculation using pilot data
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hfaction_cpx9
- A subset of the HF-ACTION study data on high-risk non-ischemic heart failure patients
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non_ischemic
- A subset of the HF-ACTION study data on non-ischemic heart failure patients with full covariate measurement.
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plot(<pwreg.score>)
- Plot the standardized score processes
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print(<WRrec>)
- Print the results of the two-sample recurrent-event win ratio analysis
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print(<pwreg>)
- Print the results of the proportional win-fractions regression model
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print(<pwreg.score>)
- Print information on the content of the pwreg.score object
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print(<pwreg1>)
- Print model information for a proportional win-fractions regression
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pwreg()
- Fit a standard proportional win-fractions (PW) regression model
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pwreg1()
- A test version of pwreg
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score.proc()
- Computes the standardized score processes
