"Call:"
"RoBMA.reg(formula = ~mod_cat + mod_con, data = df_reg, priors_bias = NULL, "
"    parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis"
"Components summary:"
"              Models Prior prob. Post. prob. Inclusion BF"
"Effect          8/16       0.500       0.024        0.025"
"Heterogeneity   8/16       0.500       0.038        0.039"
"Bias            0/16       0.000       0.000        0.000"
""
"Meta-regression components summary:"
"        Models Prior prob. Post. prob. Inclusion BF"
"mod_cat   8/16       0.500       1.000 16741134.735"
"mod_con   8/16       0.500       0.497        0.987"
""
"Model-averaged estimates:"
"     Mean Median 0.025 0.975"
"mu  0.000  0.000 0.000 0.000"
"tau 0.002  0.000 0.000 0.040"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"Model-averaged meta-regression estimates:"
"                   Mean Median  0.025  0.975"
"intercept         0.000  0.000  0.000  0.000"
"mod_cat [dif: A] -0.883 -0.909 -1.006 -0.685"
"mod_cat [dif: B]  0.001  0.001 -0.071  0.071"
"mod_cat [dif: C]  0.882  0.908  0.681  1.008"
"mod_con           0.056  0.000 -0.003  0.229"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
