"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_cont, data = df, "
"    parallel = TRUE, seed = 3, rescale_data = TRUE)"
""
"Robust Bayesian survival analysis"
"Diagnostics overview:"
" Model Distribution Prior x_cont max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1      exp-aft     Spike(0)          0.00072               0.010     9539      1.000"
"     2  weibull-aft     Spike(0)          0.00075               0.011     8848      1.001"
"     3    lnorm-aft     Spike(0)          0.00102               0.012     7175      1.001"
"     4   llogis-aft     Spike(0)          0.00090               0.011     8259      1.000"
"     5    gamma-aft     Spike(0)          0.00289               0.023     1892      1.003"
"     6      exp-aft Normal(0, 1)          0.00070               0.010     9757      1.000"
"     7  weibull-aft Normal(0, 1)          0.00076               0.010     9301      1.000"
"     8    lnorm-aft Normal(0, 1)          0.00102               0.011     7772      1.000"
"     9   llogis-aft Normal(0, 1)          0.00089               0.011     8879      1.001"
"    10    gamma-aft Normal(0, 1)          0.00282               0.023     1947      1.003"
