"Call:"
"RoBMA(d = -d, se = d_se, effect_direction = \"negative\", model_type = \"PSMA\", "
"    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)                                                                     0.00221               0.010    10143      1.000"
"    20 Normal(0, 1)            Spike(0)           omega[two-sided: .05] ~ CumDirichlet(1, 1)                0.00378               0.014     4852      1.000"
"    21 Normal(0, 1)            Spike(0)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)             0.00352               0.016     3990      1.003"
"    22 Normal(0, 1)            Spike(0)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00401               0.015     4169      1.001"
"    23 Normal(0, 1)            Spike(0)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00366               0.016     3808      1.000"
"    24 Normal(0, 1)            Spike(0)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00381               0.016     3699      1.001"
"    25 Normal(0, 1)            Spike(0) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00360               0.017     3359      1.001"
"    26 Normal(0, 1)            Spike(0)                             PET ~ Cauchy(0, 1)[0, Inf]              0.01375               0.023     1947      1.002"
"    27 Normal(0, 1)            Spike(0)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.01859               0.018     3248      1.000"
"    28 Normal(0, 1)   InvGamma(1, 0.15)                                                                     0.00321               0.012     6922      1.001"
"    29 Normal(0, 1)   InvGamma(1, 0.15)           omega[two-sided: .05] ~ CumDirichlet(1, 1)                0.00380               0.015     4697      1.001"
"    30 Normal(0, 1)   InvGamma(1, 0.15)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)             0.00356               0.017     3606      1.001"
"    31 Normal(0, 1)   InvGamma(1, 0.15)           omega[one-sided: .05] ~ CumDirichlet(1, 1)                0.00377               0.015     4675      1.001"
"    32 Normal(0, 1)   InvGamma(1, 0.15)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)             0.00376               0.017     3654      1.000"
"    33 Normal(0, 1)   InvGamma(1, 0.15)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)             0.00579               0.019     2730      1.001"
"    34 Normal(0, 1)   InvGamma(1, 0.15) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)          0.00550               0.018     3035      1.001"
"    35 Normal(0, 1)   InvGamma(1, 0.15)                             PET ~ Cauchy(0, 1)[0, Inf]              0.01545               0.023     1912      1.000"
"    36 Normal(0, 1)   InvGamma(1, 0.15)                           PEESE ~ Cauchy(0, 5)[0, Inf]              0.02397               0.018     2948      1.002"
