"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_fac3, data = df, "
"    priors = list(x_fac3 = prior_factor(\"mnormal\", list(0, 0.25), "
"        contrast = \"orthonormal\")), test_predictors = \"x_fac3\", "
"    parallel = TRUE, seed = 5, rescale_data = TRUE)"
""
"Robust Bayesian survival analysis"
"Diagnostics overview:"
" Model Distribution              Prior x_fac3              max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1      exp-aft        orthonormal contrast: mSpike(0)          0.00072               0.010     9447      1.000"
"     2  weibull-aft        orthonormal contrast: mSpike(0)          0.00081               0.011     8116      1.001"
"     3    lnorm-aft        orthonormal contrast: mSpike(0)          0.00105               0.012     7504      1.000"
"     4   llogis-aft        orthonormal contrast: mSpike(0)          0.00089               0.011     8477      1.000"
"     5    gamma-aft        orthonormal contrast: mSpike(0)          0.00294               0.024     1805      1.001"
"     6      exp-aft orthonormal contrast: mNormal(0, 0.25)          0.00075               0.010     1774      1.008"
"     7  weibull-aft orthonormal contrast: mNormal(0, 0.25)          0.00080               0.011     1828      1.003"
"     8    lnorm-aft orthonormal contrast: mNormal(0, 0.25)          0.00109               0.012     1981      1.004"
"     9   llogis-aft orthonormal contrast: mNormal(0, 0.25)          0.00089               0.012     1918      1.001"
"    10    gamma-aft orthonormal contrast: mNormal(0, 0.25)          0.00287               0.023     1787      1.004"
