"Call:"
"RoBMA(r = r, n = n, model_type = \"PSMA\", parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis"
"Models overview:"
" Model Prior Effect Prior Heterogeneity                         Prior Bias                         Prior prob. log(marglik) Post. prob. Inclusion BF"
"     1     Spike(0)            Spike(0)                                                                  0.125        -0.83       0.075        0.565"
"     2     Spike(0)            Spike(0)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.22       0.012        1.108"
"     3     Spike(0)            Spike(0)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.28       0.011        1.044"
"     4     Spike(0)            Spike(0)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.22       0.011        1.100"
"     5     Spike(0)            Spike(0)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010         0.12       0.016        1.567"
"     6     Spike(0)            Spike(0)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.59       0.026        2.525"
"     7     Spike(0)            Spike(0) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.85       0.033        3.281"
"     8     Spike(0)            Spike(0)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031         0.16       0.050        1.640"
"     9     Spike(0)            Spike(0)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -0.86       0.018        0.574"
"    10     Spike(0)   InvGamma(1, 0.15)                                                                  0.125        -0.62       0.093        0.716"
"    11     Spike(0)   InvGamma(1, 0.15)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.28       0.011        1.042"
"    12     Spike(0)   InvGamma(1, 0.15)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.42       0.009        0.906"
"    13     Spike(0)   InvGamma(1, 0.15)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.21       0.012        1.112"
"    14     Spike(0)   InvGamma(1, 0.15)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010         0.03       0.015        1.430"
"    15     Spike(0)   InvGamma(1, 0.15)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.67       0.028        2.751"
"    16     Spike(0)   InvGamma(1, 0.15) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.85       0.034        3.297"
"    17     Spike(0)   InvGamma(1, 0.15)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.11       0.039        1.245"
"    18     Spike(0)   InvGamma(1, 0.15)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -0.97       0.016        0.515"
"    19 Normal(0, 1)            Spike(0)                                                                  0.125        -0.03       0.167        1.405"
"    20 Normal(0, 1)            Spike(0)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.04       0.014        1.331"
"    21 Normal(0, 1)            Spike(0)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.29       0.011        1.027"
"    22 Normal(0, 1)            Spike(0)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.23       0.011        1.098"
"    23 Normal(0, 1)            Spike(0)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.21       0.012        1.122"
"    24 Normal(0, 1)            Spike(0)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.27       0.019        1.809"
"    25 Normal(0, 1)            Spike(0) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.33       0.020        1.923"
"    26 Normal(0, 1)            Spike(0)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.59       0.024        0.755"
"    27 Normal(0, 1)            Spike(0)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -1.53       0.009        0.292"
"    28 Normal(0, 1)   InvGamma(1, 0.15)                                                                  0.125        -0.39       0.116        0.921"
"    29 Normal(0, 1)   InvGamma(1, 0.15)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.46       0.009        0.863"
"    30 Normal(0, 1)   InvGamma(1, 0.15)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.74       0.007        0.655"
"    31 Normal(0, 1)   InvGamma(1, 0.15)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.58       0.008        0.765"
"    32 Normal(0, 1)   InvGamma(1, 0.15)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.58       0.008        0.770"
"    33 Normal(0, 1)   InvGamma(1, 0.15)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.06       0.015        1.471"
"    34 Normal(0, 1)   InvGamma(1, 0.15) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.10       0.016        1.521"
"    35 Normal(0, 1)   InvGamma(1, 0.15)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.87       0.018        0.570"
"    36 Normal(0, 1)   InvGamma(1, 0.15)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -1.71       0.008        0.242"
