"Call:"
"RoBMA(y = d, se = d_se, priors_bias = list(prior_weightfunction(\"two-sided\", "
"    list(c(0.1), c(1, 1))), prior_PET(\"normal\", list(0, 1))), "
"    parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis"
"Components summary:"
"              Models Prior prob. Post. prob. Inclusion BF"
"Effect          6/12       0.500       0.459        0.847"
"Heterogeneity   6/12       0.500       0.442        0.793"
"Bias            8/12       0.667       0.721        1.293"
""
"Model-averaged estimates:"
"              Mean Median  0.025 0.975"
"mu           0.169  0.000 -0.092 0.780"
"tau          0.098  0.000  0.000 0.566"
"omega[0,0.1] 1.000  1.000  1.000 1.000"
"omega[0.1,1] 0.886  1.000  0.200 1.000"
"PET          0.383  0.000  0.000 1.679"
"The estimates are summarized on the none scale (priors were specified on the none scale)."
"(Estimated publication weights omega correspond to two-sided p-values.)"
