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

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Documentation for package ‘CopulaSCR’ version 1.0.4

• DESCRIPTION file
• Package README

Help Pages

as.data.frame.summary.scrsurv	Convert a Summary of an 'scrsurv' Object to a Data Frame
association_estimates	Extract Association Estimates
association_estimates.mscr	Extract Association Estimates from an 'mscr' Object
association_estimates.scrassonp	Extract Association Estimates
brier_scores	Extract Brier Scores
brier_scores.dyBS	Extract Brier Scores
Calitau	Dependence Measures for Bivariate Copulas
Caltau	Dependence Measures for Bivariate Copulas
coef.scrassonp	Coefficients of an 'scrassonp' Object
confint.scrassonp	Confidence Intervals for an 'scrassonp' Object
dyBS	Brier Scores for Terminal Survival Prediction
integrated_brier_score	Extract the Integrated Brier Score
integrated_brier_score.dyBS	Extract the Integrated Brier Score
logLik.mscr	Extract Pseudo-Log-Likelihood from an 'mscr' Object
marginal_fit	Extract a Marginal Fit
marginal_fit.mscr	Extract a Marginal Fit
mimiv_demo	MIMIC-IV Demo Dataset
model.frame.scrassonp	Model Frame of an 'scrassonp' Object
mscr	Association Analysis for Semi-Competing Risks Data with Multiple Intermediate Event Times
mscr-methods	Standard Methods for 'mscr' Objects
mSCRdata	Example Semi-Competing Risks Dataset with Multiple Intermediate Events
nobs.scrassonp	Number of Observations for an 'scrassonp' Object
plot.mscr	Plot an 'mscr' Object
plot.scrassonp	Plot an 'scrassonp' Object
plot.scrsurv	Plot of Marginal Survival Curves for Nonterminal and Terminal Event Times
predchr	Survival Prediction
predcsurv	Survival Prediction
predict.mscr	Dynamic Terminal Survival Prediction
predict.scrsurv	Survival Prediction
predicted_values	Extract Predicted Values
predicted_values.predchr	Extract Predicted Values
predicted_values.predcsurv	Extract Predicted Values
predicted_values.predjsurv	Extract Predicted Values
predicted_values.predmscr	Extract Predicted Values
predicted_values.predmsurv	Extract Predicted Values
predictscr	Survival Prediction
predjsurv	Survival Prediction
print.mscr	Print an 'mscr' Object
print.predmscr	Print a 'predmscr' Object
print.scrassonp	Print an 'scrassonp' Object
print.scrsurv	Print an 'scrsurv' Object
print.summary.mscr	Print a 'summary.mscr' Object
print.summary.scrsurv	Print a 'summary.scrsurv' Object
run_app	Launch the CopulaSCR Analysis Application
scrassonp	Concordance Estimator for the Association Parameter
scrassonp-methods	Standard Methods for 'scrassonp' Objects
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
scrsurv-methods	Standard Methods for 'scrsurv' Objects
simSCR	Simulate Semi-Competing Risks Data from a Copula-Based Parametric Model
simSCRmul	Simulate Semi-Competing Risks Data with Multiple Intermediate Events
simSCRtr	Simulate Stratified Semi-Competing Risks Data from a Copula-Based Parametric Model
summary.mscr	Summarize an 'mscr' Object
summary.scrassonp	Summarize an 'scrassonp' Object
summary.scrsurv	Summarize an 'scrsurv' Object
terminal_survival	Extract the Terminal Survival Function
terminal_survival.mscr	Extract the Terminal Survival Function
vcov.scrassonp	Covariance Matrix of an 'scrassonp' Object