R: Bayesian Cure Rate Modeling for Time-to-Event Data

# Bayesian Cure Rate Modeling for Time-to-Event Data

## Documentation for package ‘bayesCureRateModel’ version 1.6

- DESCRIPTION file

## Help Pages

bayesCureRateModel-package | Bayesian Cure Rate Modeling for Time-to-Event Data
bayesCureRateModel | Bayesian Cure Rate Modeling for Time-to-Event Data
complete_log_likelihood_general | Logarithm of the complete log-likelihood for the general cure rate model.
compute_fdr_tpr | Compute the achieved FDR and TPR
cure_rate_MC3 | Main function of the package
cure_rate_mcmc | The basic MCMC scheme.
logLik.bayesCureModel | Extract the log-likelihood.
log_dagum | PDF and CDF of the Dagum distribution
log_gamma | PDF and CDF of the Gamma distribution
log_gamma_mixture | PDF and CDF of a Gamma mixture distribution
log_gompertz | PDF and CDF of the Gompertz distribution
log_logLogistic | PDF and CDF of the log-Logistic distribution.
log_lomax | PDF and CDF of the Lomax distribution
log_user_mixture | Define a finite mixture of a given family of distributions.
log_weibull | PDF and CDF of the Weibull distribution
marriage_dataset | Marriage data
plot.bayesCureModel | Plot method
plot.predict_bayesCureModel | Plot method
predict.bayesCureModel | Predict method.
print.bayesCureModel | Print method
print.predict_bayesCureModel | Print method for the 'predict' object
print.summary_bayesCureModel | Print method for the summary
residuals.bayesCureModel | Computation of residuals.
sim_mix_data | Simulated dataset
summary.bayesCureModel | Summary method.
summary.predict_bayesCureModel | Summary method for predictions.
Surv | Create a Survival Object