"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"
"Models overview:"
" Model Distribution              Prior x_fac3              Prior prob. log(marglik) Post. prob. Inclusion BF"
"     1      exp-aft        orthonormal contrast: mSpike(0)       0.100      -317.64       0.601       13.580"
"     2  weibull-aft        orthonormal contrast: mSpike(0)       0.100      -320.26       0.044        0.412"
"     3    lnorm-aft        orthonormal contrast: mSpike(0)       0.100      -329.97       0.000        0.000"
"     4   llogis-aft        orthonormal contrast: mSpike(0)       0.100      -324.44       0.001        0.006"
"     5    gamma-aft        orthonormal contrast: mSpike(0)       0.100      -319.95       0.060        0.571"
"     6      exp-aft orthonormal contrast: mNormal(0, 0.25)       0.100      -318.51       0.250        2.996"
"     7  weibull-aft orthonormal contrast: mNormal(0, 0.25)       0.100      -321.10       0.019        0.172"
"     8    lnorm-aft orthonormal contrast: mNormal(0, 0.25)       0.100      -330.17       0.000        0.000"
"     9   llogis-aft orthonormal contrast: mNormal(0, 0.25)       0.100      -324.24       0.001        0.007"
"    10    gamma-aft orthonormal contrast: mNormal(0, 0.25)       0.100      -320.81       0.025        0.232"
