"Call:"
"RoBMA(d = d, se = d_se, 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)            Spike(0)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00415               0.015     4248      1.001"
"     5     Spike(0)            Spike(0)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00410               0.017     3576      1.000"
"     6     Spike(0)            Spike(0)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00377               0.018     3065      1.000"
"     7     Spike(0)            Spike(0) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00343               0.021     2187      1.002"
"     8     Spike(0)            Spike(0)                             PET ~ Cauchy(0, 1)[0, Inf]              0.00533               0.011     8257      1.001"
"     9     Spike(0)            Spike(0)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.01077               0.011     9037      1.001"
"    10     Spike(0)   InvGamma(1, 0.15)                                                                     0.00301               0.011     8101      1.004"
"    11     Spike(0)   InvGamma(1, 0.15)           omega[two-sided: .05] ~ CumDirichlet(1, 1)                0.00403               0.015     4515      1.000"
"    12     Spike(0)   InvGamma(1, 0.15)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)             0.00369               0.016     4000      1.001"
"    13     Spike(0)   InvGamma(1, 0.15)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00404               0.015     4475      1.000"
"    14     Spike(0)   InvGamma(1, 0.15)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00397               0.016     3744      1.001"
"    15     Spike(0)   InvGamma(1, 0.15)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00381               0.019     2749      1.001"
"    16     Spike(0)   InvGamma(1, 0.15) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00355               0.019     2884      1.003"
"    17     Spike(0)   InvGamma(1, 0.15)                             PET ~ Cauchy(0, 1)[0, Inf]              0.00623               0.012     6972      1.000"
"    18     Spike(0)   InvGamma(1, 0.15)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.01282               0.012     7523      1.001"
"    19 Normal(0, 1)            Spike(0)                                                                     0.00218               0.010    10339      1.001"
"    20 Normal(0, 1)            Spike(0)           omega[two-sided: .05] ~ CumDirichlet(1, 1)                0.00369               0.014     5032      1.001"
"    21 Normal(0, 1)            Spike(0)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)             0.00349               0.016     4028      1.000"
"    22 Normal(0, 1)            Spike(0)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00385               0.015     4482      1.001"
"    23 Normal(0, 1)            Spike(0)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00359               0.016     3930      1.000"
"    24 Normal(0, 1)            Spike(0)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00387               0.017     3447      1.001"
"    25 Normal(0, 1)            Spike(0) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00352               0.018     3182      1.000"
"    26 Normal(0, 1)            Spike(0)                             PET ~ Cauchy(0, 1)[0, Inf]              0.01348               0.022     1990      1.001"
"    27 Normal(0, 1)            Spike(0)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.01716               0.017     3522      1.000"
"    28 Normal(0, 1)   InvGamma(1, 0.15)                                                                     0.00316               0.012     6929      1.000"
"    29 Normal(0, 1)   InvGamma(1, 0.15)           omega[two-sided: .05] ~ CumDirichlet(1, 1)                0.00379               0.015     4684      1.000"
"    30 Normal(0, 1)   InvGamma(1, 0.15)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)             0.00331               0.016     4150      1.001"
"    31 Normal(0, 1)   InvGamma(1, 0.15)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00382               0.015     4610      1.000"
"    32 Normal(0, 1)   InvGamma(1, 0.15)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00382               0.016     3978      1.001"
"    33 Normal(0, 1)   InvGamma(1, 0.15)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00607               0.019     2819      1.002"
"    34 Normal(0, 1)   InvGamma(1, 0.15) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00557               0.018     2954      1.001"
"    35 Normal(0, 1)   InvGamma(1, 0.15)                             PET ~ Cauchy(0, 1)[0, Inf]              0.01383               0.021     2184      1.003"
"    36 Normal(0, 1)   InvGamma(1, 0.15)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.02658               0.020     2480      1.001"
