"Call:"
"RoBMA(d = d, se = d_se, priors_effect = NULL, priors_heterogeneity = NULL, "
"    priors_bias = NULL, parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis                                                               "
" Model              1             Parameter prior distributions"
" Prior prob.    0.333                             mu ~ Spike(0)"
" log(marglik)   -0.83                            tau ~ Spike(0)"
" Post. prob.    0.073                                          "
" Inclusion BF   0.157                                          "
""
"Parameter estimates:"
"[1] Mean           SD             lCI            Median         uCI            error(MCMC)    error(MCMC)/SD ESS            R-hat         "
"<0 rows> (or 0-length row.names)"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                               "
" Model              2             Parameter prior distributions"
" Prior prob.    0.667                   mu ~ Normal(0, 1)[0, 1]"
" log(marglik)    1.02                  tau ~ Spike(0)          "
" Post. prob.    0.927                                          "
" Inclusion BF   6.381                                          "
""
"Parameter estimates:"
"    Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu 0.483 0.206 0.087  0.484 0.888     0.00207          0.010 9837 1.001"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
