Man pages for bayesCureRateModel
Bayesian Cure Rate Modeling for Time-to-Event Data
| bayesCureRateModel-package | Bayesian Cure Rate Modeling for Time-to-Event Data |
| complete_log_likelihood_general | Logarithm of the complete log-likelihood for the general cure... |
| compute_fdr_tpr | Compute the achieved FDR and TPR |
| cure_rate_MC3 | Main function of the package |
| cure_rate_mcmc | The basic MCMC scheme. |
| 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 |
| logLik.bayesCureModel | Extract the log-likelihood. |
| 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. |
