"Call:"
"RoBMA(d = d, se = d_se, study_ids = c(1, 1, 2), chains = 1, sample = 1000, "
"    burnin = 500, adapt = 100, thin = 2, parallel = TRUE, autofit = FALSE, "
"    seed = 1)"
""
"Robust Bayesian meta-analysis"
"Models overview:"
" Model Prior Effect Prior Heterogeneity Prior Var. allocation                         Prior Bias                         Prior prob. log(marglik)"
"     1     Spike(0)            Spike(0)                                                                                        0.125        -0.83"
"     2     Spike(0)            Spike(0)                                 omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.28"
"     3     Spike(0)            Spike(0)                             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.41"
"     4     Spike(0)            Spike(0)                                 omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.29"
"     5     Spike(0)            Spike(0)                           omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.01"
"     6     Spike(0)            Spike(0)                             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.54"
"     7     Spike(0)            Spike(0)                       omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.77"
"     8     Spike(0)            Spike(0)                                                   PET ~ Cauchy(0, 1)[0, Inf]           0.031         0.15"
"     9     Spike(0)            Spike(0)                                                 PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -0.88"
"    10     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)                                                                  0.125        -0.58"
"    11     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.34"
"    12     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.53"
"    13     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.27"
"    14     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.05"
"    15     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.61"
"    16     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.81"
"    17     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.04"
"    18     Spike(0)   InvGamma(1, 0.15)            Beta(1, 1)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -0.88"
"    19 Normal(0, 1)            Spike(0)                                                                                        0.125        -0.03"
"    20 Normal(0, 1)            Spike(0)                                 omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.10"
"    21 Normal(0, 1)            Spike(0)                             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.41"
"    22 Normal(0, 1)            Spike(0)                                 omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.28"
"    23 Normal(0, 1)            Spike(0)                           omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.31"
"    24 Normal(0, 1)            Spike(0)                             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010         0.22"
"    25 Normal(0, 1)            Spike(0)                       omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.27"
"    26 Normal(0, 1)            Spike(0)                                                   PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.61"
"    27 Normal(0, 1)            Spike(0)                                                 PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -1.54"
"    28 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)                                                                  0.125        -0.37"
"    29 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)           omega[two-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.52"
"    30 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)       omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.84"
"    31 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)           omega[one-sided: .05] ~ CumDirichlet(1, 1)             0.010        -0.64"
"    32 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)     omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)          0.010        -0.67"
"    33 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)       omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)          0.010        -0.03"
"    34 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1) omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)       0.010         0.04"
"    35 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)                             PET ~ Cauchy(0, 1)[0, Inf]           0.031        -0.83"
"    36 Normal(0, 1)   InvGamma(1, 0.15)            Beta(1, 1)                           PEESE ~ Cauchy(0, 5)[0, Inf]           0.031        -1.66"
" Post. prob. Inclusion BF"
"       0.076        0.574"
"       0.011        1.057"
"       0.010        0.924"
"       0.011        1.049"
"       0.014        1.386"
"       0.025        2.433"
"       0.031        3.086"
"       0.051        1.657"
"       0.018        0.574"
"       0.098        0.760"
"       0.010        0.992"
"       0.009        0.824"
"       0.011        1.064"
"       0.014        1.329"
"       0.027        2.621"
"       0.033        3.214"
"       0.042        1.359"
"       0.018        0.570"
"       0.169        1.426"
"       0.013        1.269"
"       0.010        0.928"
"       0.011        1.057"
"       0.011        1.029"
"       0.018        1.747"
"       0.019        1.846"
"       0.024        0.756"
"       0.009        0.294"
"       0.121        0.963"
"       0.009        0.826"
"       0.006        0.598"
"       0.008        0.733"
"       0.007        0.710"
"       0.014        1.361"
"       0.015        1.457"
"       0.019        0.601"
"       0.008        0.259"
"[0;31mModel (6): ESS 427 is lower than the set target (500).[0m"
"[0;31mModel (7): ESS 408 is lower than the set target (500).[0m"
"[0;31mModel (12): ESS 440 is lower than the set target (500).[0m"
"[0;31mModel (14): ESS 472 is lower than the set target (500).[0m"
"[0;31mModel (15): ESS 338 is lower than the set target (500).[0m"
"[0;31mThere were another 11 warnings. To see all warnings call 'check_RoBMA(fit)'.[0m"
