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


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Documentation for package ‘CopulaSCR’ version 1.0.1

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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.