"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"
"Diagnostics overview:"
" Model Prior Effect Prior Heterogeneity            Prior Bias           max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1 Normal(0, 1)   InvGamma(1, 0.15) omega[one-sided: .1] = (0.5, 1)          0.00306               0.012     6744      1.000"
