"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"
"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] ~ CumDirichlet(1, 1)            0.00359               0.015     4649      1.001"
"     2 Normal(0, 1)   InvGamma(1, 0.15)                  PET ~ Normal(0, 1)[0, Inf]          0.00656               0.014     4821      1.001"
