Man pages for RoBSA
Robust Bayesian Survival Analysis
| calibrate_meta_analytic | Create meta-analytic predictive prior distributions |
| calibrate_quartiles | Calibrate prior distributions based on quartiles |
| check_RoBSA | Check fitted RoBSA object for errors and warnings |
| check_setup | Prints summary of '"RoBSA"' corresponding to the input |
| contr.meandif | Mean difference contrast matrix |
| contr.orthonormal | Orthornomal contrast matrix |
| default_prior | Default prior distributions |
| diagnostics | Visualizes MCMC diagnostics for a fitted RoBSA object |
| exp-aft | Exponential AFT parametric family. |
| extract_flexsurv | Extract parameter estimates from 'flexsurv' object |
| gamma-aft | Gamma AFT parametric family. |
| is.RoBSA | Reports whether x is a RoBSA object |
| llogis-aft | Log-logistic AFT parametric family. |
| lnorm-aft | Log-normal AFT parametric family. |
| plot_models | Models plot for a RoBSA object |
| plot_prediction | Survival plots for a RoBSA object |
| plot.RoBSA | Plots a fitted RoBSA object |
| predict.RoBSA | Predict method for RoBSA objects. |
| print.RoBSA | Prints a fitted RoBSA object |
| print.summary.RoBSA | Prints summary object for RoBSA method |
| prior | Creates a prior distribution |
| prior_factor | Creates a prior distribution for factors |
| prior_informed | Creates an informed prior distribution based on research |
| prior_informed_medicine_names | Names of medical subfields from the Cochrane database of... |
| prior_none | Creates a prior distribution |
| RoBSA | Fit Robust Bayesian Survival Analysis |
| RoBSA_control | Control MCMC fitting process |
| RoBSA_options | Options for the RoBSA package |
| RoBSA-package | RoBSA: Robust Bayesian survival analysis |
| summary.RoBSA | Summarize fitted RoBSA object |
| update.RoBSA | Updates a fitted RoBSA object |
| weibull-aft | Weibull AFT parametric family. |
