"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_cont, data = df, "
"    parallel = TRUE, seed = 3, rescale_data = TRUE)"
""
"Robust Bayesian survival analysis"
"Models overview:"
" Model Distribution Prior x_cont Prior prob. log(marglik) Post. prob. Inclusion BF"
"     1      exp-aft     Spike(0)       0.100      -317.64       0.779       31.723"
"     2  weibull-aft     Spike(0)       0.100      -320.25       0.057        0.541"
"     3    lnorm-aft     Spike(0)       0.100      -329.97       0.000        0.000"
"     4   llogis-aft     Spike(0)       0.100      -324.44       0.001        0.008"
"     5    gamma-aft     Spike(0)       0.100      -319.95       0.077        0.753"
"     6      exp-aft Normal(0, 1)       0.100      -320.00       0.073        0.711"
"     7  weibull-aft Normal(0, 1)       0.100      -322.59       0.005        0.050"
"     8    lnorm-aft Normal(0, 1)       0.100      -332.09       0.000        0.000"
"     9   llogis-aft Normal(0, 1)       0.100      -326.51       0.000        0.001"
"    10    gamma-aft Normal(0, 1)       0.100      -322.29       0.007        0.067"
