Bayesian Cure Rate Modeling for Time-to-Event Data

Documentation for package ‘bayesCureRateModel’ version 1.3

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.