"Call:"
"RoBMA.reg(formula = ~mod_cat + mod_con, data = df_reg, priors_bias = NULL, "
"    parallel = TRUE, seed = 1)"
""
"Robust Bayesian meta-analysis                                                                                      "
" Model                1                                  Parameter prior distributions"
" Prior prob.      0.062                      tau ~ Spike(0)                           "
" log(marglik)   -485.86             mu_intercept ~ Spike(0)                           "
" Post. prob.      0.000             (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Inclusion BF     0.000               mu_mod_con ~ Spike(0)                           "
""
"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.    0.062             (mu) intercept ~ Spike(0)                           "
" log(marglik)   -9.89               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.    0.000               (mu) mod_con ~ Spike(0)                           "
" Inclusion BF   0.000                        tau ~ InvGamma(1, 0.15)                  "
""
"Parameter estimates:"
"     Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"tau 0.800 0.155 0.565  0.776 1.164     0.00162          0.010 9090 1.000"
"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.      0.062             (mu) intercept ~ Normal(0, 1)                       "
" log(marglik)   -489.55               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.      0.000               (mu) mod_con ~ Spike(0)                           "
" Inclusion BF     0.000                        tau ~ Spike(0)                           "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.000 0.025 -0.050  0.000 0.048     0.00025          0.010 9932 1.001"
"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.     0.062             (mu) intercept ~ Normal(0, 1)                       "
" log(marglik)   -11.49               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.     0.000               (mu) mod_con ~ Spike(0)                           "
" Inclusion BF    0.000                        tau ~ InvGamma(1, 0.15)                  "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.000 0.210 -0.420  0.001 0.417     0.00218          0.010 9267 1.001"
"tau       0.826 0.165  0.574  0.802 1.219     0.00180          0.011 8365 1.000"
"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.     0.062             (mu) intercept ~ Spike(0)                                  "
" log(marglik)    18.06               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.     0.476               (mu) mod_con ~ Spike(0)                                  "
" Inclusion BF   13.608                        tau ~ Spike(0)                                  "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_cat [dif: A] -0.945 0.034 -1.010 -0.945 -0.877     0.00028          0.008 1880 1.002"
"mod_cat [dif: B]  0.000 0.035 -0.070  0.000  0.068     0.00029          0.008 1773 1.002"
"mod_cat [dif: C]  0.945 0.035  0.874  0.945  1.013     0.00029          0.008 1703 1.002"
"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.    0.062             (mu) intercept ~ Spike(0)                                  "
" log(marglik)   14.62               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.015               (mu) mod_con ~ Spike(0)                                  "
" Inclusion BF   0.233                        tau ~ InvGamma(1, 0.15)                         "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_cat [dif: A] -0.940 0.040 -1.020 -0.941 -0.865     0.00032          0.008 1906 1.004"
"mod_cat [dif: B]  0.001 0.040 -0.078  0.000  0.079     0.00033          0.008 1837 1.001"
"mod_cat [dif: C]  0.939 0.040  0.861  0.940  1.017     0.00032          0.008 1950 1.002"
"tau               0.049 0.019  0.022  0.045  0.093     0.00022          0.012 7219 1.001"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                             "
" Model              7                                           Parameter prior distributions"
" Prior prob.    0.062             (mu) intercept ~ Normal(0, 1)                              "
" log(marglik)   14.36               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.012               (mu) mod_con ~ Spike(0)                                  "
" Inclusion BF   0.180                        tau ~ Spike(0)                                  "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept         0.000 0.025 -0.048  0.000  0.049     0.00025          0.010 9865 1.000"
"mod_cat [dif: A] -0.946 0.035 -1.013 -0.946 -0.877     0.00028          0.008 1817 1.003"
"mod_cat [dif: B]  0.000 0.036 -0.071  0.002  0.069     0.00029          0.008 1836 1.003"
"mod_cat [dif: C]  0.946 0.035  0.875  0.946  1.015     0.00029          0.008 1825 1.003"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                             "
" Model              8                                           Parameter prior distributions"
" Prior prob.    0.062             (mu) intercept ~ Normal(0, 1)                              "
" log(marglik)   11.05               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.000               (mu) mod_con ~ Spike(0)                                  "
" Inclusion BF   0.006                        tau ~ InvGamma(1, 0.15)                         "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept         0.000 0.028 -0.055  0.000  0.057     0.00028          0.010 9929 1.000"
"mod_cat [dif: A] -0.939 0.040 -1.013 -0.940 -0.860     0.00032          0.008 1777 1.002"
"mod_cat [dif: B]  0.001 0.040 -0.078  0.003  0.079     0.00033          0.008 1693 1.000"
"mod_cat [dif: C]  0.937 0.040  0.859  0.938  1.013     0.00032          0.008 1844 1.003"
"tau               0.050 0.020  0.022  0.047  0.098     0.00026          0.013 5937 1.000"
"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.     0.062             (mu) intercept ~ Spike(0)                           "
" log(marglik)   -28.92               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.     0.000               (mu) mod_con ~ Normal(0, 0.25)                    "
" Inclusion BF    0.000                        tau ~ Spike(0)                           "
""
"Parameter estimates:"
"         Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_con 0.764 0.025 0.714  0.764 0.812     0.00026          0.010 9167 1.001"
"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.    0.062             (mu) intercept ~ Spike(0)                           "
" log(marglik)    2.10               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.    0.000               (mu) mod_con ~ Normal(0, 0.25)                    "
" Inclusion BF   0.000                        tau ~ InvGamma(1, 0.15)                  "
""
"Parameter estimates:"
"         Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_con 0.704 0.077 0.540  0.707 0.844     0.00091          0.012 7137 1.000"
"tau     0.263 0.063 0.167  0.254 0.410     0.00073          0.012 7513 1.000"
"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.     0.062             (mu) intercept ~ Normal(0, 1)                       "
" log(marglik)   -32.61               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.     0.000               (mu) mod_con ~ Normal(0, 0.25)                    "
" Inclusion BF    0.000                        tau ~ Spike(0)                           "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.000 0.025 -0.049  0.000 0.050     0.00026          0.011 8926 1.000"
"mod_con   0.764 0.025  0.714  0.764 0.814     0.00026          0.010 9602 1.000"
"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.    0.062             (mu) intercept ~ Normal(0, 1)                       "
" log(marglik)   -0.53               (mu) mod_cat ~ mean difference contrast: mSpike(0)"
" Post. prob.    0.000               (mu) mod_con ~ Normal(0, 0.25)                    "
" Inclusion BF   0.000                        tau ~ InvGamma(1, 0.15)                  "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.000 0.076 -0.151  0.000 0.150     0.00082          0.011 8631 1.000"
"mod_con   0.699 0.082  0.519  0.703 0.847     0.00098          0.012 7022 1.000"
"tau       0.277 0.069  0.175  0.266 0.443     0.00092          0.013 5633 1.000"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                              "
" Model              13                                           Parameter prior distributions"
" Prior prob.     0.062             (mu) intercept ~ Spike(0)                                  "
" log(marglik)    18.03               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.     0.463               (mu) mod_con ~ Normal(0, 0.25)                           "
" Inclusion BF   12.936                        tau ~ Spike(0)                                  "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_cat [dif: A] -0.822 0.083 -0.983 -0.821 -0.660     0.00046          0.006  501 1.002"
"mod_cat [dif: B]  0.001 0.035 -0.068  0.001  0.071     0.00020          0.006 3855 1.000"
"mod_cat [dif: C]  0.821 0.084  0.661  0.820  0.984     0.00046          0.006  520 1.001"
"mod_con           0.112 0.069 -0.025  0.112  0.248     0.00300          0.043  536 1.001"
"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.    0.062             (mu) intercept ~ Spike(0)                                  "
" log(marglik)   14.96               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.022               (mu) mod_con ~ Normal(0, 0.25)                           "
" Inclusion BF   0.330                        tau ~ InvGamma(1, 0.15)                         "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mod_cat [dif: A] -0.790 0.095 -0.968 -0.792 -0.586     0.00055          0.006  405 1.001"
"mod_cat [dif: B]  0.001 0.041 -0.080  0.001  0.084     0.00024          0.006 3502 1.001"
"mod_cat [dif: C]  0.789 0.095  0.593  0.791  0.964     0.00055          0.006  457 1.002"
"mod_con           0.137 0.078 -0.010  0.135  0.300     0.00349          0.044  505 1.001"
"tau               0.054 0.023  0.022  0.049  0.109     0.00032          0.014 5028 1.000"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                             "
" Model             15                                           Parameter prior distributions"
" Prior prob.    0.062             (mu) intercept ~ Normal(0, 1)                              "
" log(marglik)   14.34               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.012               (mu) mod_con ~ Normal(0, 0.25)                           "
" Inclusion BF   0.175                        tau ~ Spike(0)                                  "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"intercept         0.000 0.025 -0.049  0.000  0.050     0.00018          0.007 19835 1.000"
"mod_cat [dif: A] -0.819 0.083 -0.981 -0.816 -0.661     0.00046          0.006   492 1.007"
"mod_cat [dif: B]  0.000 0.035 -0.070  0.000  0.069     0.00019          0.006  4166 1.001"
"mod_cat [dif: C]  0.819 0.083  0.662  0.817  0.981     0.00046          0.006   529 1.008"
"mod_con           0.114 0.069 -0.022  0.115  0.246     0.00297          0.043   544 1.004"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
""
"                                                                                             "
" Model             16                                           Parameter prior distributions"
" Prior prob.    0.062             (mu) intercept ~ Normal(0, 1)                              "
" log(marglik)   11.42               (mu) mod_cat ~ mean difference contrast: mNormal(0, 0.25)"
" Post. prob.    0.001               (mu) mod_con ~ Normal(0, 0.25)                           "
" Inclusion BF   0.009                        tau ~ InvGamma(1, 0.15)                         "
""
"Parameter estimates:"
"                   Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"intercept         0.000 0.030 -0.058  0.000  0.060     0.00019          0.006 23705 1.000"
"mod_cat [dif: A] -0.781 0.104 -0.973 -0.787 -0.559     0.00053          0.005   482 1.008"
"mod_cat [dif: B]  0.001 0.042 -0.083  0.001  0.084     0.00021          0.005  4182 1.001"
"mod_cat [dif: C]  0.780 0.103  0.566  0.786  0.973     0.00052          0.005   463 1.010"
"mod_con           0.143 0.085 -0.016  0.140  0.320     0.00371          0.044   528 1.006"
"tau               0.057 0.026  0.024  0.052  0.122     0.00046          0.018  3097 1.002"
"The estimates are summarized on the Cohen's d scale (priors were specified on the Cohen's d scale)."
