"Call:"
"RoBMA(d = d, se = d_se, priors_bias = list(prior_weightfunction(\"one-sided\", "
"    list(c(0.1), c(1, 1))), prior_PET(\"normal\", list(0, 1))), "
"    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.    0.500                               mu ~ Normal(0, 1)      "
" log(marglik)   -0.83                              tau ~ InvGamma(1, 0.15) "
" Post. prob.    0.443             omega[one-sided: .1] ~ CumDirichlet(1, 1)"
" Inclusion BF   0.796                                                      "
""
"Parameter estimates:"
"              Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu           0.361 0.292 -0.249  0.370 0.895     0.00357          0.012 6664 1.000"
"tau          0.216 0.209  0.038  0.153 0.767     0.00263          0.013 6290 1.000"
"omega[0,0.1] 1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.1,1] 0.624 0.245  0.139  0.649 0.984     0.00359          0.015 4649 1.001"
"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.    0.500                 mu ~ Normal(0, 1)        "
" log(marglik)   -0.60                tau ~ InvGamma(1, 0.15)   "
" Post. prob.    0.557                PET ~ Normal(0, 1)[0, Inf]"
" Inclusion BF   1.256                                          "
""
"Parameter estimates:"
"     Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu  0.207 0.340 -0.518  0.227 0.826     0.00490          0.014 4821 1.001"
"tau 0.223 0.223  0.037  0.155 0.809     0.00271          0.012 6751 1.001"
"PET 0.665 0.512  0.024  0.556 1.917     0.00656          0.013 6085 1.000"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
