"Call:"
"RoBMA(d = d, se = d_se, priors_bias = prior_weightfunction(\"one-sided.fixed\", "
"    list(c(0.1), c(1, 0.5))), priors_effect_null = NULL, priors_heterogeneity_null = NULL, "
"    priors_bias_null = NULL, parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis                                                                          "
" Model              1                        Parameter prior distributions"
" Prior prob.    1.000                               mu ~ Normal(0, 1)     "
" log(marglik)   -1.04                              tau ~ InvGamma(1, 0.15)"
" Post. prob.    1.000             omega[one-sided: .1] = (0.5, 1)         "
" Inclusion BF     Inf                                                     "
""
"Parameter estimates:"
"              Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu           0.353 0.275 -0.195  0.357 0.883     0.00306          0.011 8076 1.000"
"tau          0.211 0.204  0.037  0.149 0.738     0.00249          0.012 6744 1.000"
"omega[0,0.1] 1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.1,1] 0.500 0.000  0.500  0.500 0.500          NA             NA   NA    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
