"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                                                               "
" Model              1             Parameter prior distributions"
" Prior prob.    0.125                             mu ~ Spike(0)"
" log(marglik)   -0.83                            tau ~ Spike(0)"
" Post. prob.    0.076                                          "
" Inclusion BF   0.574                                          "
""
"Parameter estimates:"
"[1] Mean           SD             lCI            Median         uCI            error(MCMC)    error(MCMC)/SD ESS            R-hat         "
"<0 rows> (or 0-length row.names)"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model              2                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Spike(0)          "
" log(marglik)   -0.28                               tau ~ Spike(0)          "
" Post. prob.    0.011             omega[two-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   1.057                                                       "
""
"Parameter estimates:"
"               Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.05] 1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,1] 0.440 0.272 0.047  0.397 0.959     0.01159          0.043 551    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                   "
" Model              3                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Spike(0)             "
" log(marglik)   -0.41                                   tau ~ Spike(0)             "
" Post. prob.    0.010             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   0.924                                                              "
""
"Parameter estimates:"
"                 Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.05]   1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,0.1] 0.634 0.241 0.166  0.675 0.980     0.01035          0.043 545    NA"
"omega[0.1,1]    0.313 0.200 0.040  0.266 0.783     0.00725          0.036 757    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model              4                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Spike(0)          "
" log(marglik)   -0.29                               tau ~ Spike(0)          "
" Post. prob.    0.011             omega[one-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   1.049                                                       "
""
"Parameter estimates:"
"               Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.05] 1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,1] 0.435 0.276 0.054  0.392 0.963     0.01157          0.042 571    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                     "
" Model              5                                   Parameter prior distributions"
" Prior prob.    0.010                                      mu ~ Spike(0)             "
" log(marglik)   -0.01                                     tau ~ Spike(0)             "
" Post. prob.    0.014             omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   1.386                                                                "
""
"Parameter estimates:"
"                   Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.025]    1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.025,0.05] 0.608 0.244 0.136  0.618 0.975     0.01039          0.043 551    NA"
"omega[0.05,1]     0.268 0.197 0.027  0.219 0.715     0.00861          0.044 521    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                   "
" Model              6                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Spike(0)             "
" log(marglik)    0.54                                   tau ~ Spike(0)             "
" Post. prob.    0.025             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   2.433                                                              "
""
"Parameter estimates:"
"                 Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.05]   1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,0.5] 0.627 0.236 0.157  0.649 0.981     0.00979          0.041 582    NA"
"omega[0.5,1]    0.208 0.192 0.006  0.149 0.684     0.00929          0.048 427    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 427 is lower than the set target (500).[0m"
""
"                                                                                            "
" Model              7                                          Parameter prior distributions"
" Prior prob.    0.010                                          mu ~ Spike(0)                "
" log(marglik)    0.77                                         tau ~ Spike(0)                "
" Post. prob.    0.031             omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)"
" Inclusion BF   3.086                                                                       "
""
"Parameter estimates:"
"                   Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"omega[0,0.025]    1.000 0.000 1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.025,0.05] 0.726 0.200 0.285  0.765 0.990     0.00932          0.047 460    NA"
"omega[0.05,0.5]   0.456 0.216 0.090  0.437 0.872     0.00992          0.046 474    NA"
"omega[0.5,1]      0.148 0.149 0.005  0.101 0.534     0.00737          0.050 408    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 408 is lower than the set target (500).[0m"
""
"                                                               "
" Model              8             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Spike(0)            "
" log(marglik)    0.15                tau ~ Spike(0)            "
" Post. prob.    0.051                PET ~ Cauchy(0, 1)[0, Inf]"
" Inclusion BF   1.657                                          "
""
"Parameter estimates:"
"     Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"PET 0.881 0.471 0.114  0.850 1.955     0.01488          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                               "
" Model              9             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Spike(0)            "
" log(marglik)   -0.88                tau ~ Spike(0)            "
" Post. prob.    0.018              PEESE ~ Cauchy(0, 5)[0, Inf]"
" Inclusion BF   0.574                                          "
""
"Parameter estimates:"
"       Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"PEESE 1.811 1.015 0.198  1.748 4.017     0.03068          0.030 1094    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                               "
" Model             10             Parameter prior distributions"
" Prior prob.    0.125                    mu ~ Spike(0)         "
" log(marglik)   -0.58                   tau ~ InvGamma(1, 0.15)"
" Post. prob.    0.098                   rho ~ Beta(1, 1)       "
" Inclusion BF   0.760                                          "
""
"Parameter estimates:"
"     Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau 0.318 0.432 0.045  0.226 1.037     0.01366          0.032 1000    NA"
"rho 0.513 0.293 0.034  0.518 0.978     0.00927          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model             11                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Spike(0)          "
" log(marglik)   -0.34                               tau ~ InvGamma(1, 0.15) "
" Post. prob.    0.010             omega[two-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   0.992                               rho ~ Beta(1, 1)        "
""
"Parameter estimates:"
"               Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau           0.243 0.197 0.046  0.186 0.704     0.00827          0.042  568    NA"
"omega[0,0.05] 1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,1] 0.467 0.270 0.057  0.440 0.968     0.01192          0.044  513    NA"
"rho           0.500 0.288 0.028  0.498 0.980     0.00910          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                   "
" Model             12                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Spike(0)             "
" log(marglik)   -0.53                                   tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.009             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   0.824                                   rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                 Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau             0.220 0.205 0.041  0.169 0.671     0.00688          0.034  888    NA"
"omega[0,0.05]   1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,0.1] 0.650 0.233 0.192  0.674 0.985     0.01099          0.047  451    NA"
"omega[0.1,1]    0.363 0.213 0.049  0.330 0.827     0.01017          0.048  440    NA"
"rho             0.500 0.293 0.018  0.494 0.981     0.00921          0.031 1010    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 440 is lower than the set target (500).[0m"
""
"                                                                            "
" Model             13                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Spike(0)          "
" log(marglik)   -0.27                               tau ~ InvGamma(1, 0.15) "
" Post. prob.    0.011             omega[one-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   1.064                               rho ~ Beta(1, 1)        "
""
"Parameter estimates:"
"               Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau           0.254 0.223 0.049  0.185 0.819     0.00863          0.039  669    NA"
"omega[0,0.05] 1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,1] 0.456 0.255 0.062  0.434 0.936     0.00997          0.039  657    NA"
"rho           0.496 0.291 0.028  0.502 0.967     0.00919          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                     "
" Model             14                                   Parameter prior distributions"
" Prior prob.    0.010                                      mu ~ Spike(0)             "
" log(marglik)   -0.05                                     tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.014             omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   1.329                                     rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                   Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau               0.227 0.175 0.039  0.171 0.683     0.00735          0.042  570    NA"
"omega[0,0.025]    1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.025,0.05] 0.608 0.249 0.148  0.618 0.984     0.01135          0.046  482    NA"
"omega[0.05,1]     0.307 0.200 0.043  0.263 0.783     0.00922          0.046  472    NA"
"rho               0.504 0.289 0.029  0.504 0.982     0.00914          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 472 is lower than the set target (500).[0m"
""
"                                                                                   "
" Model             15                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Spike(0)             "
" log(marglik)    0.61                                   tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.027             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   2.621                                   rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                 Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau             0.265 0.231 0.040  0.195 0.905     0.00812          0.035  807    NA"
"omega[0,0.05]   1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,0.5] 0.628 0.238 0.145  0.653 0.983     0.01200          0.051  392    NA"
"omega[0.5,1]    0.210 0.195 0.005  0.152 0.727     0.01058          0.054  338    NA"
"rho             0.503 0.290 0.025  0.503 0.972     0.00916          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 338 is lower than the set target (500).[0m"
""
"                                                                                            "
" Model             16                                          Parameter prior distributions"
" Prior prob.    0.010                                          mu ~ Spike(0)                "
" log(marglik)    0.81                                         tau ~ InvGamma(1, 0.15)       "
" Post. prob.    0.033             omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)"
" Inclusion BF   3.214                                         rho ~ Beta(1, 1)              "
""
"Parameter estimates:"
"                   Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau               0.238 0.199 0.043  0.181 0.795     0.00747          0.038  710    NA"
"omega[0,0.025]    1.000 0.000 1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.025,0.05] 0.702 0.209 0.253  0.730 0.990     0.01061          0.051  389    NA"
"omega[0.05,0.5]   0.461 0.217 0.107  0.449 0.895     0.01116          0.051  378    NA"
"omega[0.5,1]      0.155 0.144 0.004  0.116 0.536     0.00979          0.068  215    NA"
"rho               0.493 0.290 0.034  0.483 0.979     0.00917          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 215 is lower than the set target (500).[0m"
""
"                                                               "
" Model             17             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Spike(0)            "
" log(marglik)   -0.04                tau ~ InvGamma(1, 0.15)   "
" Post. prob.    0.042                PET ~ Cauchy(0, 1)[0, Inf]"
" Inclusion BF   1.359                rho ~ Beta(1, 1)          "
""
"Parameter estimates:"
"     Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"tau 0.234 0.216 0.042  0.167 0.810     0.00810          0.037 712    NA"
"PET 0.856 0.507 0.065  0.784 1.954     0.01712          0.034 877    NA"
"rho 0.496 0.289 0.028  0.493 0.973     0.00976          0.034 875    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                               "
" Model             18             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Spike(0)            "
" log(marglik)   -0.88                tau ~ InvGamma(1, 0.15)   "
" Post. prob.    0.018              PEESE ~ Cauchy(0, 5)[0, Inf]"
" Inclusion BF   0.570                rho ~ Beta(1, 1)          "
""
"Parameter estimates:"
"       Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau   0.265 0.253 0.046  0.190 0.938     0.01033          0.041  602    NA"
"PEESE 1.854 1.135 0.123  1.725 4.124     0.04209          0.037  727    NA"
"rho   0.499 0.283 0.026  0.500 0.971     0.00896          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                               "
" Model             19             Parameter prior distributions"
" Prior prob.    0.125                         mu ~ Normal(0, 1)"
" log(marglik)   -0.03                        tau ~ Spike(0)    "
" Post. prob.    0.169                                          "
" Inclusion BF   1.426                                          "
""
"Parameter estimates:"
"    Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu 0.455 0.215 0.019  0.462 0.864     0.00749          0.035 824    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model             20                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Normal(0, 1)      "
" log(marglik)   -0.10                               tau ~ Spike(0)          "
" Post. prob.    0.013             omega[two-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   1.269                                                       "
""
"Parameter estimates:"
"               Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu            0.403 0.218 -0.025  0.393 0.832     0.00950          0.044 526    NA"
"omega[0,0.05] 1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,1] 0.529 0.265  0.071  0.525 0.972     0.01052          0.040 633    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                   "
" Model             21                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Normal(0, 1)         "
" log(marglik)   -0.41                                   tau ~ Spike(0)             "
" Post. prob.    0.010             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   0.928                                                              "
""
"Parameter estimates:"
"                 Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu              0.365 0.219 -0.057  0.360 0.790     0.00776          0.035 797    NA"
"omega[0,0.05]   1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,0.1] 0.693 0.221  0.216  0.747 0.987     0.00970          0.044 520    NA"
"omega[0.1,1]    0.405 0.217  0.068  0.383 0.844     0.00892          0.041 593    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model             22                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Normal(0, 1)      "
" log(marglik)   -0.28                               tau ~ Spike(0)          "
" Post. prob.    0.011             omega[one-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   1.057                                                       "
""
"Parameter estimates:"
"               Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu            0.405 0.240 -0.059  0.399 0.880     0.00890          0.037 728    NA"
"omega[0,0.05] 1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,1] 0.579 0.255  0.089  0.606 0.977     0.01040          0.041 603    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                     "
" Model             23                                   Parameter prior distributions"
" Prior prob.    0.010                                      mu ~ Normal(0, 1)         "
" log(marglik)   -0.31                                     tau ~ Spike(0)             "
" Post. prob.    0.011             omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   1.029                                                                "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu                0.350 0.234 -0.100  0.342 0.816     0.00833          0.036 793    NA"
"omega[0,0.025]    1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.025,0.05] 0.665 0.230  0.189  0.688 0.987     0.01031          0.045 497    NA"
"omega[0.05,1]     0.393 0.222  0.061  0.360 0.860     0.00928          0.042 575    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 497 is lower than the set target (500).[0m"
""
"                                                                                   "
" Model             24                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Normal(0, 1)         "
" log(marglik)    0.22                                   tau ~ Spike(0)             "
" Post. prob.    0.018             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   1.747                                                              "
""
"Parameter estimates:"
"                 Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu              0.355 0.254 -0.146  0.359 0.868     0.00872          0.034 852    NA"
"omega[0,0.05]   1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.05,0.5] 0.677 0.221  0.199  0.711 0.988     0.01187          0.054 348    NA"
"omega[0.5,1]    0.286 0.220  0.010  0.237 0.799     0.01014          0.046 471    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 348 is lower than the set target (500).[0m"
""
"                                                                                            "
" Model             25                                          Parameter prior distributions"
" Prior prob.    0.010                                          mu ~ Normal(0, 1)            "
" log(marglik)    0.27                                         tau ~ Spike(0)                "
" Post. prob.    0.019             omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)"
" Inclusion BF   1.846                                                                       "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu                0.323 0.253 -0.176  0.331 0.798     0.00928          0.037 742    NA"
"omega[0,0.025]    1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.025,0.05] 0.750 0.191  0.306  0.787 0.992     0.00876          0.046 473    NA"
"omega[0.05,0.5]   0.516 0.215  0.125  0.512 0.912     0.01027          0.048 437    NA"
"omega[0.5,1]      0.217 0.182  0.005  0.160 0.670     0.01165          0.064 243    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 243 is lower than the set target (500).[0m"
""
"                                                               "
" Model             26             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Normal(0, 1)        "
" log(marglik)   -0.61                tau ~ Spike(0)            "
" Post. prob.    0.024                PET ~ Cauchy(0, 1)[0, Inf]"
" Inclusion BF   0.756                                          "
""
"Parameter estimates:"
"     Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu  0.242 0.280 -0.386  0.264 0.744     0.01362          0.049 424    NA"
"PET 0.636 0.527  0.024  0.499 2.007     0.02942          0.056 321    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 321 is lower than the set target (500).[0m"
""
"                                                               "
" Model             27             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Normal(0, 1)        "
" log(marglik)   -1.54                tau ~ Spike(0)            "
" Post. prob.    0.009              PEESE ~ Cauchy(0, 5)[0, Inf]"
" Inclusion BF   0.294                                          "
""
"Parameter estimates:"
"       Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu    0.303 0.265 -0.288  0.313 0.778     0.01106          0.042 573    NA"
"PEESE 1.214 0.988  0.043  1.009 3.697     0.04477          0.045 487    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 487 is lower than the set target (500).[0m"
""
"                                                               "
" Model             28             Parameter prior distributions"
" Prior prob.    0.125                    mu ~ Normal(0, 1)     "
" log(marglik)   -0.37                   tau ~ InvGamma(1, 0.15)"
" Post. prob.    0.121                   rho ~ Beta(1, 1)       "
" Inclusion BF   0.963                                          "
""
"Parameter estimates:"
"     Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu  0.444 0.274 -0.135  0.465 0.920     0.01025          0.037  715    NA"
"tau 0.205 0.198  0.035  0.144 0.701     0.00860          0.043  531    NA"
"rho 0.490 0.292  0.033  0.482 0.968     0.00923          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model             29                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Normal(0, 1)      "
" log(marglik)   -0.52                               tau ~ InvGamma(1, 0.15) "
" Post. prob.    0.009             omega[two-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   0.826                               rho ~ Beta(1, 1)        "
""
"Parameter estimates:"
"               Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu            0.366 0.254 -0.086  0.360 0.892     0.01011          0.040  629    NA"
"tau           0.196 0.178  0.037  0.141 0.660     0.00755          0.042  557    NA"
"omega[0,0.05] 1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,1] 0.557 0.265  0.091  0.565 0.977     0.01124          0.042  556    NA"
"rho           0.500 0.285  0.033  0.505 0.970     0.00861          0.030 1096    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                   "
" Model             30                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Normal(0, 1)         "
" log(marglik)   -0.84                                   tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.006             omega[two-sided: .1, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   0.598                                   rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                 Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu              0.355 0.249 -0.094  0.349 0.855     0.00927          0.037  721    NA"
"tau             0.184 0.166  0.036  0.137 0.567     0.00612          0.037  736    NA"
"omega[0,0.05]   1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,0.1] 0.707 0.208  0.258  0.743 0.993     0.00893          0.043  543    NA"
"omega[0.1,1]    0.432 0.220  0.082  0.402 0.872     0.00941          0.043  544    NA"
"rho             0.501 0.295  0.024  0.503 0.979     0.00835          0.028 1245    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                            "
" Model             31                          Parameter prior distributions"
" Prior prob.    0.010                                mu ~ Normal(0, 1)      "
" log(marglik)   -0.64                               tau ~ InvGamma(1, 0.15) "
" Post. prob.    0.008             omega[one-sided: .05] ~ CumDirichlet(1, 1)"
" Inclusion BF   0.733                               rho ~ Beta(1, 1)        "
""
"Parameter estimates:"
"               Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu            0.333 0.302 -0.334  0.360 0.885     0.01247          0.041  588    NA"
"tau           0.219 0.204  0.037  0.160 0.743     0.00809          0.040  635    NA"
"omega[0,0.05] 1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,1] 0.578 0.260  0.091  0.594 0.983     0.01294          0.050  404    NA"
"rho           0.495 0.296  0.022  0.494 0.973     0.00935          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 404 is lower than the set target (500).[0m"
""
"                                                                                     "
" Model             32                                   Parameter prior distributions"
" Prior prob.    0.010                                      mu ~ Normal(0, 1)         "
" log(marglik)   -0.67                                     tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.007             omega[one-sided: .05, .025] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   0.710                                     rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu                0.283 0.295 -0.339  0.296 0.852     0.01231          0.042 575    NA"
"tau               0.222 0.242  0.036  0.147 0.812     0.00905          0.037 713    NA"
"omega[0,0.025]    1.000 0.000  1.000  1.000 1.000          NA             NA  NA    NA"
"omega[0.025,0.05] 0.673 0.231  0.175  0.721 0.986     0.01264          0.055 334    NA"
"omega[0.05,1]     0.402 0.228  0.056  0.373 0.879     0.01290          0.057 313    NA"
"rho               0.513 0.289  0.029  0.515 0.976     0.01000          0.035 834    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 313 is lower than the set target (500).[0m"
""
"                                                                                   "
" Model             33                                 Parameter prior distributions"
" Prior prob.    0.010                                    mu ~ Normal(0, 1)         "
" log(marglik)   -0.03                                   tau ~ InvGamma(1, 0.15)    "
" Post. prob.    0.014             omega[one-sided: .5, .05] ~ CumDirichlet(1, 1, 1)"
" Inclusion BF   1.361                                   rho ~ Beta(1, 1)           "
""
"Parameter estimates:"
"                 Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu              0.252 0.367 -0.573  0.282 0.856     0.01654          0.045  491    NA"
"tau             0.244 0.221  0.039  0.175 0.861     0.00939          0.043  554    NA"
"omega[0,0.05]   1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.05,0.5] 0.696 0.217  0.216  0.736 0.987     0.01024          0.047  450    NA"
"omega[0.5,1]    0.274 0.218  0.009  0.219 0.784     0.01099          0.050  394    NA"
"rho             0.493 0.293  0.023  0.505 0.969     0.00925          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 394 is lower than the set target (500).[0m"
""
"                                                                                            "
" Model             34                                          Parameter prior distributions"
" Prior prob.    0.010                                          mu ~ Normal(0, 1)            "
" log(marglik)    0.04                                         tau ~ InvGamma(1, 0.15)       "
" Post. prob.    0.015             omega[one-sided: .5, .05, .025] ~ CumDirichlet(1, 1, 1, 1)"
" Inclusion BF   1.457                                         rho ~ Beta(1, 1)              "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu                0.218 0.350 -0.518  0.237 0.840     0.01407          0.040  620    NA"
"tau               0.230 0.202  0.038  0.166 0.798     0.00919          0.045  483    NA"
"omega[0,0.025]    1.000 0.000  1.000  1.000 1.000          NA             NA   NA    NA"
"omega[0.025,0.05] 0.755 0.182  0.338  0.788 0.992     0.00991          0.054  338    NA"
"omega[0.05,0.5]   0.528 0.205  0.142  0.524 0.894     0.00981          0.048  438    NA"
"omega[0.5,1]      0.209 0.175  0.006  0.168 0.621     0.00973          0.055  325    NA"
"rho               0.505 0.287  0.025  0.514 0.977     0.00908          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 325 is lower than the set target (500).[0m"
""
"                                                               "
" Model             35             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Normal(0, 1)        "
" log(marglik)   -0.83                tau ~ InvGamma(1, 0.15)   "
" Post. prob.    0.019                PET ~ Cauchy(0, 1)[0, Inf]"
" Inclusion BF   0.601                rho ~ Beta(1, 1)          "
""
"Parameter estimates:"
"     Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD ESS R-hat"
"mu  0.199 0.376 -0.629  0.235 0.841     0.01710          0.045 485    NA"
"tau 0.240 0.242  0.039  0.163 0.825     0.01022          0.042 561    NA"
"PET 0.713 0.671  0.024  0.545 2.473     0.03946          0.059 290    NA"
"rho 0.516 0.293  0.033  0.513 0.983     0.00973          0.033 910    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 290 is lower than the set target (500).[0m"
""
"                                                               "
" Model             36             Parameter prior distributions"
" Prior prob.    0.031                 mu ~ Normal(0, 1)        "
" log(marglik)   -1.66                tau ~ InvGamma(1, 0.15)   "
" Post. prob.    0.008              PEESE ~ Cauchy(0, 5)[0, Inf]"
" Inclusion BF   0.259                rho ~ Beta(1, 1)          "
""
"Parameter estimates:"
"       Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu    0.218 0.365 -0.550  0.241 0.837     0.01544          0.042  558    NA"
"tau   0.272 0.287  0.040  0.184 0.993     0.01617          0.056  314    NA"
"PEESE 1.497 1.249  0.055  1.252 4.975     0.05806          0.046  463    NA"
"rho   0.506 0.294  0.026  0.505 0.974     0.00931          0.032 1000    NA"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
"[0;31mESS 314 is lower than the set target (500).[0m"
