"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ 1, data = df, "
"    parallel = TRUE, seed = 1, rescale_data = TRUE)"
""
"Robust Bayesian survival analysis"
"Diagnostics overview:"
" Model Distribution max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1      exp-aft          0.00072               0.010     9271      1.000"
"     2  weibull-aft          0.00075               0.011     8391      1.001"
"     3    lnorm-aft          0.00106               0.012     7440      1.001"
"     4   llogis-aft          0.00096               0.011     7924      1.001"
"     5    gamma-aft          0.00303               0.024     1724      1.001"
