Bayesian Cure Rate Modeling for Time-to-Event Data


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Documentation for package ‘bayesCureRateModel’ version 1.4

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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