"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"
"Distributions summary:"
"            Models Prior prob. Post. prob. Inclusion BF"
"exp-aft       2/10       0.200       0.851       22.878"
"weibull-aft   2/10       0.200       0.063        0.267"
"lnorm-aft     2/10       0.200       0.000        0.000"
"llogis-aft    2/10       0.200       0.001        0.006"
"gamma-aft     2/10       0.200       0.085        0.370"
""
"Components summary:"
"       Models Prior prob. Post. prob. Inclusion BF"
"x_fac3   5/10       0.500       0.294        0.417"
""
"Model-averaged estimates:"
"                  Mean Median  0.025 0.975"
"x_fac3 [dif: A] -0.027  0.000 -0.214 0.036"
"x_fac3 [dif: B] -0.003  0.000 -0.132 0.113"
"x_fac3 [dif: C]  0.030  0.000 -0.024 0.228"
