"Call:"
"RoBMA(d = d, se = d_se, model_type = \"2w\", 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     Spike(0)            Spike(0)                                                                  NA                  NA       NA         NA"
"     2     Spike(0)            Spike(0)      omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.00414               0.015     4300      1.000"
"     3     Spike(0)            Spike(0)  omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.00371               0.016     4094      1.000"
"     4     Spike(0)   InvGamma(1, 0.15)                                                             0.00301               0.011     8101      1.004"
"     5     Spike(0)   InvGamma(1, 0.15)      omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.00403               0.015     4515      1.000"
"     6     Spike(0)   InvGamma(1, 0.15)  omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.00369               0.016     4000      1.001"
"     7 Normal(0, 1)            Spike(0)                                                             0.00218               0.010    10339      1.001"
"     8 Normal(0, 1)            Spike(0)      omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.00369               0.014     5032      1.001"
"     9 Normal(0, 1)            Spike(0)  omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.00349               0.016     4028      1.000"
"    10 Normal(0, 1)   InvGamma(1, 0.15)                                                             0.00316               0.012     6929      1.000"
"    11 Normal(0, 1)   InvGamma(1, 0.15)      omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.00379               0.015     4684      1.000"
"    12 Normal(0, 1)   InvGamma(1, 0.15)  omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.00331               0.016     4150      1.001"
