# Cox Non-Proportional Hazards Model with Time-Varying Coefficients

## Documentation for package ‘surtvep’ version 1.0.0

- DESCRIPTION file
- Package README

## Help Pages

baseline | calculating baseline hazard and baseline cumulative hazard using the result from a 'coxtv' or 'coxtp' object
confint.coxtp | get confidence intervals of time-varying coefficients from a fitted object
confint.coxtv | get confidence intervals of time-varying coefficients from a fitted object
coxtp | fit a Cox non-proportional hazards model with P-spline or Smoothing-spline, with penalization tuning parameter chosen by information criteria or cross-validation
coxtv | fit a Cox non-proportional hazards model
cv.coxtp | fit a cross-validated Cox non-proportional hazards model with P-spline or Smoothing-spline where penalization tuning parameter is provided by cross-validation
ExampleData | example data with 2000 observations of 2 continuous variables
ExampleDataBinary | example data with 2000 observations of 2 binary variables
get.tvcoef | helper function to get time-varying coefficients
IC | calculating information criteria from a 'coxtp' object
plot.baseline | plotting the baseline hazard
plot.coxtp | plotting results from a fitted 'coxtp' object
plot.coxtv | plotting results from a fitted 'coxtv' object
StrataExample | example data for stratified model illustration
support | Study to Understand Prognoses Preferences Outcomes and Risks of Treatment
tvef.ph | testing the proportional hazards assumption from a 'coxtv' or 'coxtp' object
tvef.zero | testing the significance of the covariates from a 'coxtv' or 'coxtp' object
tvef.zero.time | testing the significance of the covariates from a 'coxtv' or 'coxtp' object using a Wald test statistic