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RoBSA-package _PACKAGE RoBSA_package RoBSA.package
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RoBSA: Robust Bayesian survival analysis |
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RoBSA()
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Fit Robust Bayesian Survival Analysis |
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set_autofit_control() set_convergence_checks()
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Control MCMC fitting process |
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RoBSA.options() RoBSA.get_option()
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Options for the RoBSA package |
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calibrate_meta_analytic()
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Create meta-analytic predictive prior distributions |
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calibrate_quartiles()
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Calibrate prior distributions based on quartiles |
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check_RoBSA()
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Check fitted RoBSA object for errors and warnings |
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check_setup()
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Prints summary of "RoBSA" corresponding to the input |
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contr.orthonormal()
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Orthornomal contrast matrix |
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get_default_prior_beta_null() get_default_prior_beta_alt() get_default_prior_factor_null() get_default_prior_factor_alt() get_default_prior_intercept() get_default_prior_aux()
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Default prior distributions |
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diagnostics() diagnostics_autocorrelation() diagnostics_trace() diagnostics_density()
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Visualizes MCMC diagnostics for a fitted RoBSA object |
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exp_aft_log_density() exp_aft_log_hazard() exp_aft_log_survival() exp_aft_density() exp_aft_hazard() exp_aft_survival() exp_aft_mean() exp_aft_sd() exp_aft_r() exp_aft_q() exp_aft_p()
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Exponential AFT parametric family. |
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extract_flexsurv()
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Extract parameter estimates from flexsurv object |
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gamma_aft_log_density() gamma_aft_log_hazard() gamma_aft_log_survival() gamma_aft_density() gamma_aft_hazard() gamma_aft_survival() gamma_aft_mean() gamma_aft_sd() gamma_aft_r() gamma_aft_q() gamma_aft_p()
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Gamma AFT parametric family. |
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is.RoBSA()
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Reports whether x is a RoBSA object |
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llogis_aft_log_density() llogis_aft_log_hazard() llogis_aft_log_survival() llogis_aft_density() llogis_aft_hazard() llogis_aft_survival() llogis_aft_mean() llogis_aft_sd() llogis_aft_r() llogis_aft_q() llogis_aft_p()
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Log-logistic AFT parametric family. |
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lnorm_aft_log_density() lnorm_aft_log_hazard() lnorm_aft_log_survival() lnorm_aft_density() lnorm_aft_hazard() lnorm_aft_survival() lnorm_aft_mean() lnorm_aft_sd() lnorm_aft_r() lnorm_aft_q() lnorm_aft_p()
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Log-normal AFT parametric family. |
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plot(<RoBSA>)
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Plots a fitted RoBSA object |
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plot_models()
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Models plot for a RoBSA object |
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plot_prediction() plot_survival() plot_hazard() plot_density()
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Survival plots for a RoBSA object |
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predict(<RoBSA>)
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Predict method for RoBSA objects. |
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print(<RoBSA>)
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Prints a fitted RoBSA object |
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print(<summary.RoBSA>)
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Prints summary object for RoBSA method |
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prior()
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Creates a prior distribution |
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prior_factor()
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Creates a prior distribution for factors |
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prior_informed()
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Creates an informed prior distribution based on research |
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prior_informed_medicine_names
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Names of medical subfields from the Cochrane database of systematic reviews |
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prior_none()
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Creates a prior distribution |
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summary(<RoBSA>)
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Summarize fitted RoBSA object |
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update(<RoBSA>)
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Updates a fitted RoBSA object |
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weibull_aft_log_density() weibull_aft_log_hazard() weibull_aft_log_survival() weibull_aft_density() weibull_aft_hazard() weibull_aft_survival() weibull_aft_mean() weibull_aft_sd() weibull_aft_r() weibull_aft_q() weibull_aft_p()
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Weibull AFT parametric family. |