R: Win Time Methods for Time-to-Event Data in Clinical Trials

# Win Time Methods for Time-to-Event Data in Clinical Trials

## Documentation for package ‘wintime’ version 0.4.4

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

## Help Pages

bootstrap | Resample using bootstraps
COMP | Run composite analysis
EWT | Expected win time
EWTP | Expected win time against trial population
EWTPR | Expected win time against trial population With redistribution to the right
EWTR | Expected win time against reference
getWintimeIntegral | Helper functions for package functions
getWintimeIntegral_rest | Win time difference with time restriction
km | Fit a Kaplan-Meier model
markov | Fit a Markov model
perm | Resample using permutations
PWT | Pairwise win time
REWTP | Expected win time against trial population
REWTPR | Time Restricted Expected win time against trial population With redistribution to the right
RMT | Restricted mean survival in favor of treatment
RPWT | Time Restricted Pairwise win time
RWTR | Restricted win time ratio
setEventTimes | Created a sorted vector of event times
setKM | Set event times and indicators used in the Kaplan-Meier survival curve calculation
wintime | Run a win time calculation
WTR | Win time ratio