R: Analysis of Semi-Competing Risks Data Using Copula-Based Models

# Analysis of Semi-Competing Risks Data Using Copula-Based Models

## Documentation for package ‘CopulaSCR’ version 1.0.1

- DESCRIPTION file
- Package README

## Help Pages

Calitau | Dependence Measures for Bivariate Copulas
Caltau | Dependence Measures for Bivariate Copulas
dyBS | Brier Scores for terminal survival prediction
mscr | Association analysis for semi-competing risks data with multiple intermediate event times
mSCRdata | Example semi-competing risks dataset with multiple intermediate events
plot.mscr | Plot of 'mscr' object
plot.scrsurv | Plot of marginal survival curves of nonterminal and terminal event times
predchr | Survival prediction
predcsurv | Survival prediction
predict.mscr | Dynamic terminal survival prediction
predict.scrsurv | Survival prediction
predictscr | Survival prediction
predjsurv | Survival prediction
print.mscr | Print objects in the mscr library
print.scrassonp | Print objects in the scrassonp library
print.scrsurv | Print objects in the scrsurv library
scrassonp | Concordance estimator for association parameter
SCRdata | Example semi-competing risks dataset with a single intermediate event
SCRdata_by_tr | Example semi-competing risks dataset by treatment group
scrsurv | Nonparametric estimation of marginal survival functions
simSCR | Simulating a semi-competing risks data from a copula-based parametric model
simSCRmul | Simulating a semi-competing risks data with multiple intermediate events
simSCRtr | Simulating a semi-competing risks data from a copula-based parametric model
summary.scrassonp | Summary method for scrassonp objects.