"Call:"
"RoBTT(x1 = x1, x2 = x2, parallel = FALSE, seed = 1)"
""
"Robust Bayesian t-test                                                                "
" Model               1             Parameter prior distributions"
" Prior prob.     0.125                        delta ~ Spike(0)  "
" log(marglik)   -24.40                          rho ~ Spike(0.5)"
" Post. prob.     0.175                                          "
" Inclusion BF    1.484                                          "
""
"Parameter estimates:"
"               Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"mu            2.120 1.173 -0.222  2.124  4.470     0.01179          0.010 9900 1.000"
"sigma2       13.632 8.295  5.006 11.497 35.168     0.09195          0.011 8139 1.000"
"pooled_sigma  3.566 0.956  2.237  3.391  5.930     0.01029          0.011 8634 1.000"
"sigma_i[1]    3.566 0.956  2.237  3.391  5.930     0.01029          0.011 8634 1.000"
"sigma_i[2]    3.566 0.956  2.237  3.391  5.930     0.01029          0.011 8634 1.000"
"mu_i[1]       2.120 1.173 -0.222  2.124  4.470     0.01179          0.010 9900 1.000"
"mu_i[2]       2.120 1.173 -0.222  2.124  4.470     0.01179          0.010 9900 1.000"
""
"                                                                "
" Model               2             Parameter prior distributions"
" Prior prob.     0.125                    delta ~ Spike(0)      "
" log(marglik)   -24.07                      rho ~ Spike(0.5)    "
" Post. prob.     0.243                       nu ~ Exponential(1)"
" Inclusion BF    2.250                                          "
""
"Parameter estimates:"
"                Mean       SD    lCI Median     uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu             1.679    0.993 -0.175  1.623   3.830     0.01025          0.010  9384 1.000"
"sigma2       148.134 2255.593  4.895 23.424 533.637    30.00721          0.013  5650 1.001"
"nu_p[1]        0.984    0.990  0.021  0.687   3.583     0.00975          0.010 10310 1.000"
"pooled_sigma   6.866   10.050  2.213  4.840  23.101     0.20359          0.020  2437 1.002"
"sigma_i[1]     6.866   10.050  2.213  4.840  23.101     0.20359          0.020  2437 1.002"
"sigma_i[2]     6.866   10.050  2.213  4.840  23.101     0.20359          0.020  2437 1.002"
"scale_i[1]     2.487    0.944  1.147  2.324   4.786     0.00777          0.008 14734 1.000"
"scale_i[2]     2.487    0.944  1.147  2.324   4.786     0.00777          0.008 14734 1.000"
"mu_i[1]        1.679    0.993 -0.175  1.623   3.830     0.01025          0.010  9384 1.000"
"mu_i[2]        1.679    0.993 -0.175  1.623   3.830     0.01025          0.010  9384 1.000"
"nu             2.984    0.990  2.021  2.687   5.583     0.00975          0.010 10310 1.000"
""
"                                                                "
" Model               3             Parameter prior distributions"
" Prior prob.     0.125                        delta ~ Spike(0)  "
" log(marglik)   -24.96                          rho ~ Beta(1, 1)"
" Post. prob.     0.100                                          "
" Inclusion BF    0.774                                          "
""
"Parameter estimates:"
"               Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            1.967 1.223 -0.431  1.943  4.434     0.01126          0.009 11792 1.000"
"sigma2       13.205 8.788  4.727 10.938 34.750     0.08511          0.010 10660 1.000"
"rho[1]        0.568 0.183  0.195  0.578  0.885     0.00156          0.008 13861 1.000"
"pooled_sigma  3.877 1.188  2.339  3.631  6.866     0.01141          0.010 10849 1.000"
"sigma_i[1]    3.495 1.379  1.822  3.196  6.946     0.01276          0.009 11663 1.000"
"sigma_i[2]    4.064 1.502  2.181  3.740  7.843     0.01333          0.009 12699 1.000"
"mu_i[1]       1.967 1.223 -0.431  1.943  4.434     0.01126          0.009 11792 1.000"
"mu_i[2]       1.967 1.223 -0.431  1.943  4.434     0.01126          0.009 11792 1.000"
""
"                                                                "
" Model               4             Parameter prior distributions"
" Prior prob.     0.125                    delta ~ Spike(0)      "
" log(marglik)   -24.54                      rho ~ Beta(1, 1)    "
" Post. prob.     0.152                       nu ~ Exponential(1)"
" Inclusion BF    1.255                                          "
""
"Parameter estimates:"
"               Mean      SD    lCI Median     uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            1.640   0.989 -0.218  1.597   3.713     0.00892          0.009 12304 1.000"
"sigma2       91.895 844.260  4.446 21.584 443.718     9.49006          0.011  7914 1.000"
"rho[1]        0.533   0.211  0.133  0.540   0.903     0.00170          0.008 15502 1.000"
"nu_p[1]       0.955   0.960  0.024  0.658   3.526     0.00797          0.008 14524 1.000"
"pooled_sigma  7.220   8.314  2.366  5.226  24.466     0.12370          0.015  4518 1.000"
"sigma_i[1]    6.727   8.295  1.875  4.775  23.083     0.11581          0.014  5131 1.000"
"sigma_i[2]    7.263   8.701  2.034  5.194  24.828     0.12686          0.015  4704 1.000"
"scale_i[1]    2.501   1.234  0.941  2.250   5.516     0.00999          0.008 15265 1.000"
"scale_i[2]    2.714   1.329  1.035  2.428   6.103     0.01031          0.008 16611 1.000"
"mu_i[1]       1.640   0.989 -0.218  1.597   3.713     0.00892          0.009 12304 1.000"
"mu_i[2]       1.640   0.989 -0.218  1.597   3.713     0.00892          0.009 12304 1.000"
"nu            2.955   0.960  2.024  2.658   5.526     0.00797          0.008 14524 1.000"
""
"                                                                "
" Model               5             Parameter prior distributions"
" Prior prob.     0.125                   delta ~ Cauchy(0, 0.71)"
" log(marglik)   -24.82                     rho ~ Spike(0.5)     "
" Post. prob.     0.115                                          "
" Inclusion BF    0.910                                          "
""
"Parameter estimates:"
"               Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            2.116 1.131 -0.160  2.113  4.371     0.01017          0.009 12377 1.000"
"sigma2       12.929 8.292  4.700 10.817 33.662     0.08356          0.010  9847 1.000"
"delta[1]      0.367 0.518 -0.572  0.331  1.487     0.00449          0.009 13323 1.000"
"pooled_sigma  3.467 0.952  2.168  3.289  5.802     0.00915          0.010 10812 1.000"
"sigma_i[1]    3.467 0.952  2.168  3.289  5.802     0.00915          0.010 10812 1.000"
"sigma_i[2]    3.467 0.952  2.168  3.289  5.802     0.00915          0.010 10812 1.000"
"mu_i[1]       1.524 1.440 -1.387  1.535  4.377     0.01220          0.008 13929 1.000"
"mu_i[2]       2.709 1.450 -0.129  2.688  5.667     0.01264          0.009 13174 1.000"
""
"                                                                "
" Model               6             Parameter prior distributions"
" Prior prob.     0.125                   delta ~ Cauchy(0, 0.71)"
" log(marglik)   -25.02                     rho ~ Spike(0.5)     "
" Post. prob.     0.094                      nu ~ Exponential(1) "
" Inclusion BF    0.726                                          "
""
"Parameter estimates:"
"               Mean     SD    lCI Median     uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            1.730  0.989 -0.126  1.691   3.803     0.00813          0.008 14812 1.000"
"sigma2       31.800 47.834  4.496 18.335 145.084     0.70003          0.015  4669 1.001"
"delta[1]      0.185  0.381 -0.524  0.163   1.020     0.00316          0.008 14554 1.001"
"nu_p[1]       1.210  1.028  0.090  0.929   3.927     0.00873          0.008 13881 1.000"
"pooled_sigma  4.972  2.662  2.120  4.282  12.045     0.03540          0.013  5652 1.001"
"sigma_i[1]    4.972  2.662  2.120  4.282  12.045     0.03540          0.013  5652 1.001"
"sigma_i[2]    4.972  2.662  2.120  4.282  12.045     0.03540          0.013  5652 1.001"
"scale_i[1]    2.463  0.897  1.158  2.311   4.598     0.00684          0.008 17203 1.000"
"scale_i[2]    2.463  0.897  1.158  2.311   4.598     0.00684          0.008 17203 1.000"
"mu_i[1]       1.317  1.275 -1.305  1.308   3.883     0.00967          0.008 17392 1.000"
"mu_i[2]       2.143  1.344 -0.327  2.055   5.050     0.01073          0.008 15690 1.000"
"nu            3.210  1.028  2.090  2.929   5.927     0.00873          0.008 13881 1.000"
""
"                                                                "
" Model               7             Parameter prior distributions"
" Prior prob.     0.125                   delta ~ Cauchy(0, 0.71)"
" log(marglik)   -25.42                     rho ~ Beta(1, 1)     "
" Post. prob.     0.063                                          "
" Inclusion BF    0.471                                          "
""
"Parameter estimates:"
"               Mean    SD    lCI Median    uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            2.041 1.191 -0.366  2.042  4.430     0.01071          0.009 12369 1.000"
"sigma2       12.375 7.526  4.515 10.460 31.705     0.06804          0.009 12235 1.000"
"delta[1]      0.340 0.511 -0.580  0.305  1.440     0.00416          0.008 15119 1.000"
"rho[1]        0.565 0.179  0.201  0.575  0.876     0.00134          0.007 17778 1.000"
"pooled_sigma  3.746 1.120  2.261  3.531  6.475     0.01026          0.009 11917 1.000"
"sigma_i[1]    3.393 1.300  1.800  3.101  6.733     0.01119          0.009 13509 1.000"
"sigma_i[2]    3.919 1.417  2.144  3.607  7.464     0.01194          0.008 14089 1.000"
"mu_i[1]       1.454 1.452 -1.489  1.453  4.370     0.01253          0.009 13427 1.000"
"mu_i[2]       2.628 1.600 -0.566  2.632  5.831     0.01346          0.008 14149 1.000"
"[0;31mThere were 1 divergent transitions.[0m"
""
"                                                                "
" Model               8             Parameter prior distributions"
" Prior prob.     0.125                   delta ~ Cauchy(0, 0.71)"
" log(marglik)   -25.50                     rho ~ Beta(1, 1)     "
" Post. prob.     0.058                      nu ~ Exponential(1) "
" Inclusion BF    0.433                                          "
""
"Parameter estimates:"
"               Mean     SD    lCI Median     uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"mu            1.729  1.032 -0.226  1.694   3.895     0.00866          0.008 14187 1.000"
"sigma2       31.480 57.282  4.047 17.181 144.238     0.87340          0.015  4301 1.000"
"delta[1]      0.176  0.368 -0.518  0.155   0.966     0.00319          0.009 13304 1.000"
"rho[1]        0.535  0.205  0.144  0.543   0.895     0.00157          0.008 17045 1.000"
"nu_p[1]       1.180  1.038  0.078  0.897   3.933     0.00896          0.009 13408 1.000"
"pooled_sigma  5.477  3.220  2.247  4.632  13.892     0.04534          0.014  5043 1.000"
"sigma_i[1]    5.114  3.436  1.782  4.223  14.180     0.04687          0.014  5375 1.000"
"sigma_i[2]    5.523  3.501  1.971  4.613  14.709     0.04458          0.013  6170 1.000"
"scale_i[1]    2.463  1.151  0.956  2.239   5.285     0.00881          0.008 17068 1.000"
"scale_i[2]    2.689  1.268  1.052  2.432   5.879     0.00949          0.007 17863 1.000"
"mu_i[1]       1.303  1.302 -1.337  1.303   3.944     0.00995          0.008 17114 1.000"
"mu_i[2]       2.155  1.445 -0.451  2.068   5.274     0.01243          0.009 13501 1.000"
"nu            3.180  1.038  2.078  2.897   5.933     0.00896          0.009 13408 1.000"
