"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_cont + x_bin + "
"    x_fac3, data = df, test_predictors = FALSE, parallel = TRUE, "
"    seed = 2, rescale_data = TRUE)"
""
"Robust Bayesian survival analysis"
"Diagnostics overview:"
" Model Distribution Prior x_cont            Prior x_bin                     Prior x_fac3           max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1      exp-aft Normal(0, 1) treatment contrast: Normal(0, 1) treatment contrast: Normal(0, 1)          0.00325               0.024     1716      1.006"
"     2  weibull-aft Normal(0, 1) treatment contrast: Normal(0, 1) treatment contrast: Normal(0, 1)          0.00339               0.024     1759      1.001"
"     3    lnorm-aft Normal(0, 1) treatment contrast: Normal(0, 1) treatment contrast: Normal(0, 1)          0.00419               0.024     1677      1.001"
"     4   llogis-aft Normal(0, 1) treatment contrast: Normal(0, 1) treatment contrast: Normal(0, 1)          0.00398               0.025     1617      1.001"
"     5    gamma-aft Normal(0, 1) treatment contrast: Normal(0, 1) treatment contrast: Normal(0, 1)          0.00523               0.030     1115      1.002"
