JAGS output for model '2_PFG_IPM_Model.txt', generated by jagsUI. Estimates based on 3 chains of 350000 iterations, adaptation = 100 iterations (sufficient), burn-in = 3e+05 iterations and thin rate = 1, yielding 150000 total samples from the joint posterior. MCMC ran in parallel for 7.285 minutes at time 2023-05-29 12:23:25. mean sd 2.5% 50% 97.5% overlap0 f Rhat n.eff Nm[1] 33.381 2.570 28.517 33.341 38.586 FALSE 1 1.012 169 Nm[2] 35.205 2.524 30.382 35.173 40.288 FALSE 1 1.010 211 Nm[3] 39.135 2.670 33.989 39.100 44.469 FALSE 1 1.008 263 Nm[4] 42.772 2.787 37.391 42.749 48.342 FALSE 1 1.007 310 Nm[5] 44.416 2.798 38.965 44.392 49.968 FALSE 1 1.006 362 Nm[6] 43.242 2.601 38.141 43.244 48.373 FALSE 1 1.005 413 Nm[7] 43.265 2.503 38.375 43.260 48.209 FALSE 1 1.006 337 Nm[8] 43.643 2.447 38.861 43.637 48.504 FALSE 1 1.004 479 Nm[9] 49.594 2.654 44.447 49.579 54.847 FALSE 1 1.003 593 Nm[10] 47.396 2.420 42.691 47.370 52.231 FALSE 1 1.003 780 Nm[11] 47.984 2.408 43.282 47.969 52.767 FALSE 1 1.002 975 Nm[12] 49.385 2.433 44.627 49.377 54.186 FALSE 1 1.003 815 Nm[13] 52.175 2.538 47.244 52.165 57.198 FALSE 1 1.003 665 Nm[14] 54.710 2.597 49.662 54.696 59.856 FALSE 1 1.004 594 Nm[15] 56.621 2.710 51.396 56.581 62.009 FALSE 1 1.005 467 Nm[16] 64.545 2.870 59.043 64.501 70.234 FALSE 1 1.002 1325 Nm[17] 67.002 2.969 61.332 66.958 72.946 FALSE 1 1.003 850 Nm[18] 67.992 3.045 62.216 67.938 74.173 FALSE 1 1.004 597 Nm[19] 70.470 2.872 65.033 70.403 76.312 FALSE 1 1.002 1140 Nm[20] 79.101 2.984 73.464 79.022 85.157 FALSE 1 1.000 5278 Nm[21] 76.847 2.850 71.352 76.801 82.573 FALSE 1 1.000 8389 Nm[22] 76.716 2.903 71.076 76.690 82.496 FALSE 1 1.001 2992 Nm[23] 73.881 2.897 68.221 73.860 79.628 FALSE 1 1.002 822 Nm[24] 68.566 2.779 63.074 68.570 74.063 FALSE 1 1.004 493 Nm[25] 68.828 2.980 62.890 68.852 74.621 FALSE 1 1.006 371 Nm[26] 73.607 3.017 67.537 73.658 79.437 FALSE 1 1.000 5961 Nm[27] 63.984 2.820 58.342 64.023 69.439 FALSE 1 1.003 780 Nm[28] 71.059 3.603 64.118 71.004 78.305 FALSE 1 1.003 814 Nm[29] 68.809 3.639 61.964 68.701 76.256 FALSE 1 1.001 2834 Nm[30] 70.884 4.860 61.470 70.843 80.593 FALSE 1 1.000 7084 Nm[31] 61.644 5.122 52.757 61.222 72.806 FALSE 1 1.000 6625 Nm[32] 62.792 5.865 51.080 62.822 74.353 FALSE 1 1.000 68857 Nn[1] 35.553 2.806 30.212 35.500 41.206 FALSE 1 1.009 236 Nn[2] 37.683 2.866 32.221 37.637 43.422 FALSE 1 1.007 290 Nn[3] 42.227 3.065 36.326 42.199 48.345 FALSE 1 1.005 403 Nn[4] 45.846 3.288 39.475 45.822 52.407 FALSE 1 1.004 519 Nn[5] 45.529 3.114 39.512 45.508 51.689 FALSE 1 1.003 713 Nn[6] 45.148 2.989 39.317 45.132 51.052 FALSE 1 1.003 800 Nn[7] 44.820 2.849 39.294 44.800 50.459 FALSE 1 1.004 527 Nn[8] 49.826 2.990 43.990 49.820 55.734 FALSE 1 1.003 661 Nn[9] 52.687 3.129 46.618 52.662 58.919 FALSE 1 1.002 1027 Nn[10] 49.049 2.874 43.481 49.019 54.786 FALSE 1 1.002 839 Nn[11] 52.566 2.898 46.896 52.562 58.275 FALSE 1 1.002 971 Nn[12] 54.044 2.966 48.235 54.033 59.899 FALSE 1 1.003 684 Nn[13] 58.728 3.114 52.640 58.705 64.910 FALSE 1 1.003 756 Nn[14] 60.071 3.233 53.750 60.042 66.474 FALSE 1 1.004 495 Nn[15] 67.411 3.346 60.948 67.374 74.043 FALSE 1 1.002 1497 Nn[16] 68.813 3.633 61.830 68.763 76.033 FALSE 1 1.003 884 Nn[17] 70.245 3.784 63.018 70.197 77.845 FALSE 1 1.004 486 Nn[18] 77.352 3.769 70.183 77.294 84.914 FALSE 1 1.002 1294 Nn[19] 85.503 3.836 78.212 85.423 93.276 FALSE 1 1.001 4336 Nn[20] 86.375 3.856 78.943 86.306 94.122 FALSE 1 1.000 73096 Nn[21] 79.165 3.694 71.952 79.148 86.475 FALSE 1 1.001 3614 Nn[22] 81.528 3.889 73.882 81.525 89.156 FALSE 1 1.001 1446 Nn[23] 79.868 3.817 72.404 79.858 87.379 FALSE 1 1.004 561 Nn[24] 69.900 3.683 62.631 69.903 77.122 FALSE 1 1.005 409 Nn[25] 85.297 3.850 77.603 85.332 92.781 FALSE 1 1.000 9629 Nn[26] 76.107 3.906 68.228 76.165 83.650 FALSE 1 1.002 1208 Nn[27] 84.195 4.683 75.100 84.143 93.505 FALSE 1 1.003 807 Nn[28] 76.315 4.534 67.555 76.260 85.437 FALSE 1 1.001 1950 Nn[29] 76.369 5.476 66.098 76.190 87.633 FALSE 1 1.003 920 Nn[30] 71.321 5.711 60.366 71.251 82.757 FALSE 1 1.000 32859 Nn[31] 66.121 6.211 55.403 65.600 79.682 FALSE 1 1.000 4539 tau.mlp 34.537 10.972 16.916 33.196 59.584 FALSE 1 1.001 3432 tau.m 96.942 43.675 33.555 89.629 202.232 FALSE 1 1.000 9139 tau.n 202.816 345.322 7.354 59.888 1314.556 FALSE 1 1.078 85 bias[1] 0.957 0.190 0.654 0.926 1.462 FALSE 1 1.001 1547 bias[2] 0.960 0.189 0.659 0.929 1.464 FALSE 1 1.002 1652 bias[3] 0.835 0.173 0.572 0.804 1.297 FALSE 1 1.001 2515 bias[4] 0.817 0.171 0.557 0.786 1.276 FALSE 1 1.001 4739 bias[5] 0.776 0.164 0.530 0.747 1.216 FALSE 1 1.000 7297 bias[6] 0.897 0.179 0.617 0.866 1.381 FALSE 1 1.001 2821 bias[7] 1.062 0.194 0.737 1.032 1.569 FALSE 1 1.001 2096 bias[8] 0.836 0.171 0.576 0.805 1.300 FALSE 1 1.002 2119 bias[9] 0.870 0.175 0.601 0.839 1.343 FALSE 1 1.002 2741 bias[10] 0.976 0.186 0.676 0.944 1.476 FALSE 1 1.001 2168 bias[11] 0.852 0.171 0.588 0.821 1.314 FALSE 1 1.001 3079 bias[12] 0.849 0.172 0.586 0.818 1.318 FALSE 1 1.001 2433 bias[13] 0.906 0.177 0.628 0.874 1.393 FALSE 1 1.002 2353 bias[14] 0.921 0.180 0.639 0.889 1.411 FALSE 1 1.002 1634 bias[15] 0.884 0.174 0.609 0.853 1.359 FALSE 1 1.001 2792 bias[16] 0.928 0.180 0.643 0.896 1.419 FALSE 1 1.001 3019 bias[17] 0.952 0.181 0.660 0.922 1.443 FALSE 1 1.002 1985 bias[18] 0.773 0.160 0.535 0.743 1.207 FALSE 1 1.001 2708 bias[19] 0.811 0.165 0.564 0.780 1.268 FALSE 1 1.000 150000 bias[20] 0.981 0.184 0.681 0.950 1.482 FALSE 1 1.001 4178 bias[21] 0.835 0.168 0.578 0.804 1.293 FALSE 1 1.001 4670 bias[22] 0.887 0.173 0.615 0.856 1.355 FALSE 1 1.002 2047 bias[23] 0.982 0.183 0.682 0.950 1.479 FALSE 1 1.001 2403 bias[24] 1.127 0.192 0.787 1.101 1.618 FALSE 1 1.001 1884 bias[25] 1.174 0.191 0.818 1.150 1.648 FALSE 1 1.001 2933 bias[26] 1.001 0.185 0.693 0.971 1.496 FALSE 1 1.001 2985 bias[27] 1.145 0.193 0.795 1.120 1.625 FALSE 1 1.001 21127 bias[28] 1.128 0.193 0.785 1.103 1.615 FALSE 1 1.001 92387 bias[29] 1.450 0.193 1.013 1.463 1.769 FALSE 1 1.001 5044 bias[30] 1.381 0.199 0.957 1.383 1.750 FALSE 1 1.000 8911 bias[31] 1.490 0.196 1.036 1.514 1.781 FALSE 1 1.001 2647 theta[1] 0.873 0.044 0.775 0.878 0.947 FALSE 1 1.000 150000 theta[2] 0.872 0.045 0.774 0.877 0.946 FALSE 1 1.000 28139 theta[3] 0.872 0.045 0.773 0.876 0.946 FALSE 1 1.000 22111 theta[4] 0.876 0.044 0.778 0.880 0.947 FALSE 1 1.000 124019 theta[5] 0.876 0.044 0.779 0.880 0.947 FALSE 1 1.000 115434 theta[6] 0.876 0.043 0.779 0.880 0.948 FALSE 1 1.000 150000 theta[7] 0.873 0.044 0.775 0.877 0.946 FALSE 1 1.000 21540 theta[8] 0.875 0.044 0.776 0.880 0.948 FALSE 1 1.000 64792 theta[9] 0.878 0.043 0.782 0.883 0.949 FALSE 1 1.000 109473 theta[10] 0.879 0.042 0.784 0.884 0.949 FALSE 1 1.000 37016 theta[11] 0.883 0.041 0.791 0.887 0.951 FALSE 1 1.000 10095 theta[12] 0.883 0.041 0.790 0.888 0.951 FALSE 1 1.000 150000 theta[13] 0.886 0.040 0.797 0.891 0.952 FALSE 1 1.000 141886 theta[14] 0.885 0.041 0.795 0.889 0.952 FALSE 1 1.000 150000 theta[15] 0.889 0.039 0.801 0.893 0.954 FALSE 1 1.000 22301 theta[16] 0.882 0.042 0.789 0.887 0.951 FALSE 1 1.000 39714 theta[17] 0.882 0.042 0.789 0.886 0.950 FALSE 1 1.000 150000 theta[18] 0.886 0.040 0.796 0.890 0.952 FALSE 1 1.000 17737 theta[19] 0.895 0.037 0.813 0.899 0.956 FALSE 1 1.000 17176 theta[20] 0.896 0.037 0.813 0.900 0.957 FALSE 1 1.000 57772 theta[21] 0.887 0.040 0.798 0.891 0.953 FALSE 1 1.000 24210 theta[22] 0.887 0.040 0.797 0.891 0.952 FALSE 1 1.000 50339 theta[23] 0.886 0.040 0.797 0.891 0.952 FALSE 1 1.000 33315 theta[24] 0.890 0.039 0.802 0.894 0.954 FALSE 1 1.000 77912 theta[25] 0.893 0.038 0.809 0.897 0.955 FALSE 1 1.000 19201 theta[26] 0.875 0.044 0.778 0.880 0.947 FALSE 1 1.000 45009 theta[27] 0.871 0.045 0.774 0.875 0.945 FALSE 1 1.000 9894 theta[28] 0.872 0.045 0.772 0.876 0.945 FALSE 1 1.000 150000 theta[29] 0.877 0.043 0.782 0.881 0.947 FALSE 1 1.000 150000 theta[30] 0.872 0.045 0.773 0.877 0.946 FALSE 1 1.000 18118 theta[31] 0.876 0.044 0.779 0.880 0.948 FALSE 1 1.000 29778 s[1] 0.914 0.024 0.862 0.916 0.954 FALSE 1 1.000 4042 s[2] 0.948 0.025 0.890 0.951 0.985 FALSE 1 1.000 5223 s[3] 0.926 0.025 0.872 0.929 0.967 FALSE 1 1.000 29835 s[4] 0.860 0.026 0.805 0.862 0.908 FALSE 1 1.000 40872 s[5] 0.847 0.031 0.781 0.848 0.903 FALSE 1 1.001 3422 s[6] 0.858 0.034 0.786 0.860 0.918 FALSE 1 1.002 1389 s[7] 0.882 0.023 0.835 0.883 0.923 FALSE 1 1.000 150000 s[8] 0.916 0.025 0.862 0.919 0.959 FALSE 1 1.000 10554 s[9] 0.796 0.026 0.743 0.796 0.845 FALSE 1 1.000 7874 s[10] 0.875 0.023 0.828 0.876 0.916 FALSE 1 1.000 5742 s[11] 0.853 0.021 0.809 0.854 0.893 FALSE 1 1.000 12076 s[12] 0.878 0.019 0.839 0.879 0.914 FALSE 1 1.000 10815 s[13] 0.843 0.017 0.808 0.844 0.876 FALSE 1 1.000 24912 s[14] 0.855 0.015 0.823 0.855 0.884 FALSE 1 1.000 7117 s[15] 0.869 0.018 0.832 0.870 0.903 FALSE 1 1.000 7212 s[16] 0.873 0.023 0.824 0.874 0.915 FALSE 1 1.000 18831 s[17] 0.872 0.025 0.819 0.873 0.917 FALSE 1 1.001 2572 s[18] 0.810 0.024 0.760 0.811 0.856 FALSE 1 1.000 12800 s[19] 0.825 0.025 0.774 0.826 0.872 FALSE 1 1.000 14564 s[20] 0.786 0.022 0.742 0.787 0.828 FALSE 1 1.000 7445 s[21] 0.860 0.023 0.812 0.861 0.901 FALSE 1 1.000 9121 s[22] 0.800 0.029 0.741 0.801 0.854 FALSE 1 1.000 6141 s[23] 0.770 0.030 0.708 0.770 0.827 FALSE 1 1.000 5565 s[24] 0.841 0.022 0.796 0.841 0.881 FALSE 1 1.000 136835 s[25] 0.778 0.021 0.737 0.779 0.818 FALSE 1 1.000 13380 s[26] 0.746 0.020 0.705 0.746 0.784 FALSE 1 1.000 6939 s[27] 0.741 0.025 0.690 0.742 0.790 FALSE 1 1.000 7840 s[28] 0.814 0.036 0.740 0.816 0.880 FALSE 1 1.000 8073 s[29] 0.805 0.068 0.664 0.809 0.925 FALSE 1 1.001 1764 s[30] 0.745 0.094 0.577 0.739 0.945 FALSE 1 1.000 6567 s[31] 0.841 0.103 0.613 0.854 0.991 FALSE 1 1.000 14514 r[1] 0.184 0.011 0.164 0.184 0.205 FALSE 1 1.027 80 r[2] 0.216 0.009 0.199 0.216 0.232 FALSE 1 1.023 94 r[3] 0.216 0.009 0.199 0.216 0.232 FALSE 1 1.023 94 r[4] 0.231 0.008 0.215 0.231 0.246 FALSE 1 1.017 122 r[5] 0.161 0.012 0.138 0.160 0.186 FALSE 1 1.028 79 r[6] 0.184 0.011 0.164 0.184 0.205 FALSE 1 1.027 80 r[7] 0.158 0.013 0.134 0.157 0.183 FALSE 1 1.028 79 r[8] 0.276 0.009 0.259 0.276 0.295 FALSE 1 1.003 708 r[9] 0.206 0.009 0.189 0.206 0.224 FALSE 1 1.025 87 r[10] 0.172 0.012 0.151 0.172 0.195 FALSE 1 1.028 79 r[11] 0.221 0.008 0.205 0.221 0.237 FALSE 1 1.021 101 r[12] 0.221 0.008 0.205 0.221 0.237 FALSE 1 1.021 101 r[13] 0.253 0.008 0.237 0.252 0.268 FALSE 1 1.008 261 r[14] 0.221 0.008 0.205 0.221 0.237 FALSE 1 1.021 101 r[15] 0.347 0.019 0.310 0.347 0.384 FALSE 1 1.012 204 r[16] 0.216 0.009 0.199 0.216 0.232 FALSE 1 1.023 94 r[17] 0.193 0.010 0.174 0.192 0.213 FALSE 1 1.027 81 r[18] 0.303 0.012 0.279 0.302 0.326 FALSE 1 1.005 440 r[19] 0.389 0.027 0.338 0.388 0.443 FALSE 1 1.016 153 r[20] 0.247 0.008 0.232 0.247 0.262 FALSE 1 1.010 203 r[21] 0.193 0.010 0.174 0.192 0.213 FALSE 1 1.027 81 r[22] 0.226 0.008 0.210 0.226 0.242 FALSE 1 1.019 109 r[23] 0.236 0.008 0.221 0.236 0.252 FALSE 1 1.015 139 r[24] 0.236 0.008 0.221 0.236 0.252 FALSE 1 1.015 139 r[25] 0.435 0.037 0.366 0.435 0.511 FALSE 1 1.019 131 r[26] 0.184 0.011 0.164 0.184 0.205 FALSE 1 1.027 80 r[27] 0.535 0.061 0.424 0.533 0.662 FALSE 1 1.022 112 r[28] 0.231 0.008 0.215 0.231 0.246 FALSE 1 1.017 122 r[29] 0.355 0.020 0.316 0.355 0.395 FALSE 1 1.013 190 r[30] 0.180 0.011 0.160 0.180 0.202 FALSE 1 1.028 79 r[31] 0.258 0.008 0.243 0.258 0.274 FALSE 1 1.006 348 psi[1] 0.152 0.008 0.138 0.152 0.167 FALSE 1 1.027 81 psi[2] 0.172 0.006 0.161 0.172 0.183 FALSE 1 1.022 99 psi[3] 0.173 0.006 0.162 0.173 0.184 FALSE 1 1.022 99 psi[4] 0.181 0.005 0.170 0.181 0.190 FALSE 1 1.019 123 psi[5] 0.134 0.009 0.118 0.134 0.152 FALSE 1 1.027 83 psi[6] 0.151 0.007 0.137 0.150 0.165 FALSE 1 1.027 80 psi[7] 0.133 0.009 0.116 0.132 0.151 FALSE 1 1.028 80 psi[8] 0.212 0.005 0.201 0.212 0.222 FALSE 1 1.003 796 psi[9] 0.165 0.006 0.154 0.165 0.177 FALSE 1 1.025 86 psi[10] 0.142 0.008 0.127 0.142 0.158 FALSE 1 1.029 77 psi[11] 0.176 0.005 0.166 0.176 0.187 FALSE 1 1.021 100 psi[12] 0.176 0.006 0.166 0.176 0.187 FALSE 1 1.022 99 psi[13] 0.197 0.005 0.188 0.197 0.206 FALSE 1 1.008 257 psi[14] 0.177 0.006 0.166 0.177 0.187 FALSE 1 1.021 99 psi[15] 0.250 0.010 0.230 0.250 0.269 FALSE 1 1.012 210 psi[16] 0.171 0.006 0.160 0.171 0.182 FALSE 1 1.023 92 psi[17] 0.156 0.007 0.142 0.156 0.169 FALSE 1 1.027 81 psi[18] 0.224 0.007 0.211 0.224 0.237 FALSE 1 1.005 455 psi[19] 0.270 0.014 0.243 0.270 0.297 FALSE 1 1.016 149 psi[20] 0.190 0.005 0.181 0.190 0.200 FALSE 1 1.010 209 psi[21] 0.154 0.007 0.141 0.154 0.167 FALSE 1 1.026 83 psi[22] 0.176 0.005 0.166 0.176 0.186 FALSE 1 1.019 114 psi[23] 0.184 0.005 0.174 0.184 0.193 FALSE 1 1.016 130 psi[24] 0.177 0.005 0.167 0.177 0.187 FALSE 1 1.014 148 psi[25] 0.292 0.018 0.257 0.292 0.326 FALSE 1 1.018 132 psi[26] 0.150 0.008 0.135 0.150 0.164 FALSE 1 1.027 81 psi[27] 0.336 0.026 0.287 0.337 0.387 FALSE 1 1.021 116 psi[28] 0.181 0.005 0.171 0.181 0.191 FALSE 1 1.016 129 psi[29] 0.245 0.011 0.223 0.246 0.267 FALSE 1 1.013 190 psi[30] 0.145 0.008 0.130 0.145 0.160 FALSE 1 1.027 83 psi[31] 0.196 0.005 0.186 0.196 0.205 FALSE 1 1.005 390 beta0 -1.850 0.080 -2.007 -1.853 -1.698 FALSE 1 1.029 77 beta1 0.451 0.068 0.318 0.453 0.583 FALSE 1 1.026 89 harvn[1] 3.017 1.750 0.618 2.687 7.329 FALSE 1 1.000 74394 harvn[2] 8.926 2.991 4.069 8.587 15.707 FALSE 1 1.000 150000 harvn[3] 5.073 2.273 1.635 4.742 10.385 FALSE 1 1.000 123677 harvn[4] 8.909 2.973 4.051 8.588 15.599 FALSE 1 1.000 150000 harvn[5] 8.898 2.959 4.073 8.575 15.578 FALSE 1 1.000 76311 harvn[6] 8.987 2.991 4.127 8.660 15.711 FALSE 1 1.000 40560 harvn[7] 7.011 2.640 2.824 6.679 13.065 FALSE 1 1.000 92021 harvn[8] 10.053 3.165 4.817 9.722 17.142 FALSE 1 1.000 150000 harvn[9] 15.020 3.892 8.386 14.679 23.585 FALSE 1 1.000 150000 harvn[10] 5.954 2.432 2.192 5.616 11.568 FALSE 1 1.000 55545 harvn[11] 7.968 2.818 3.436 7.633 14.345 FALSE 1 1.000 150000 harvn[12] 7.911 2.792 3.424 7.584 14.229 FALSE 1 1.000 150000 harvn[13] 11.882 3.430 6.121 11.549 19.511 FALSE 1 1.000 150000 harvn[14] 13.927 3.724 7.622 13.593 22.163 FALSE 1 1.000 150000 harvn[15] 17.732 4.193 10.486 17.395 26.833 FALSE 1 1.000 21506 harvn[16] 22.879 4.744 14.578 22.551 33.086 FALSE 1 1.000 150000 harvn[17] 26.749 5.148 17.640 26.412 37.741 FALSE 1 1.000 61993 harvn[18] 26.846 5.157 17.691 26.515 37.838 FALSE 1 1.000 150000 harvn[19] 31.555 5.601 21.563 31.233 43.369 FALSE 1 1.000 101818 harvn[20] 34.273 5.810 23.832 33.939 46.559 FALSE 1 1.000 99141 harvn[21] 22.737 4.729 14.448 22.406 32.907 FALSE 1 1.000 150000 harvn[22] 20.775 4.546 12.827 20.441 30.587 FALSE 1 1.000 25320 harvn[23] 18.824 4.324 11.335 18.504 28.201 FALSE 1 1.000 127154 harvn[24] 32.437 5.639 22.341 32.114 44.446 FALSE 1 1.000 72206 harvn[25] 35.395 5.907 24.749 35.088 47.894 FALSE 1 1.000 91078 harvn[26] 27.019 5.193 17.836 26.703 38.086 FALSE 1 1.000 64797 harvn[27] 37.187 6.096 26.273 36.831 50.093 FALSE 1 1.000 25443 harvn[28] 38.178 6.181 27.017 37.843 51.233 FALSE 1 1.000 150000 harvn[29] 48.848 6.954 36.152 48.533 63.353 FALSE 1 1.000 150000 harvn[30] 22.177 4.727 13.903 21.836 32.405 FALSE 1 1.000 150000 harvn[31] 27.911 5.295 18.538 27.570 39.196 FALSE 1 1.000 150000 harvd[1] 26.990 5.190 17.764 26.673 38.073 FALSE 1 1.000 24017 harvd[2] 24.919 4.987 16.125 24.583 35.609 FALSE 1 1.000 46131 harvd[3] 28.212 5.335 18.734 27.863 39.519 FALSE 1 1.000 17215 harvd[4] 29.657 5.361 20.021 29.337 41.075 FALSE 1 1.000 35376 harvd[5] 21.739 4.661 13.583 21.399 31.740 FALSE 1 1.002 1243 harvd[6] 26.919 5.163 17.777 26.580 37.986 FALSE 1 1.000 28727 harvd[7] 16.030 4.035 9.148 15.732 24.837 FALSE 1 1.001 6530 harvd[8] 22.021 4.681 13.843 21.686 32.103 FALSE 1 1.000 36665 harvd[9] 27.852 5.245 18.599 27.517 39.075 FALSE 1 1.000 19948 harvd[10] 26.120 5.252 16.867 25.838 37.345 FALSE 1 1.002 1298 harvd[11] 27.748 5.215 18.495 27.404 38.833 FALSE 1 1.000 35911 harvd[12] 24.707 4.908 15.975 24.407 35.136 FALSE 1 1.000 9739 harvd[13] 22.796 4.779 14.370 22.493 32.988 FALSE 1 1.000 91461 harvd[14] 18.802 4.271 11.402 18.487 28.000 FALSE 1 1.000 9325 harvd[15] 43.422 6.571 31.605 43.059 57.310 FALSE 1 1.000 19441 harvd[16] 42.510 6.521 30.671 42.167 56.139 FALSE 1 1.000 5762 harvd[17] 52.582 7.251 39.397 52.266 67.742 FALSE 1 1.000 150000 harvd[18] 63.371 7.912 48.851 63.025 79.777 FALSE 1 1.000 126353 harvd[19] 63.810 7.925 49.197 63.497 80.170 FALSE 1 1.000 4877 harvd[20] 68.428 8.150 53.448 68.075 85.461 FALSE 1 1.000 112249 harvd[21] 86.847 9.241 69.673 86.524 105.858 FALSE 1 1.000 26780 harvd[22] 88.961 9.385 71.553 88.629 108.454 FALSE 1 1.000 23016 harvd[23] 122.276 11.017 101.669 121.936 144.783 FALSE 1 1.000 5308 harvd[24] 88.613 9.239 71.309 88.301 107.629 FALSE 1 1.000 20200 harvd[25] 134.441 11.475 112.672 134.140 157.904 FALSE 1 1.000 81612 harvd[26] 99.754 9.937 81.254 99.451 120.199 FALSE 1 1.000 28357 harvd[27] 104.120 10.144 85.125 103.798 124.887 FALSE 1 1.000 6400 harvd[28] 90.963 9.517 73.311 90.607 110.448 FALSE 1 1.000 76360 harvd[29] 121.572 10.979 101.078 121.206 144.033 FALSE 1 1.000 63662 harvd[30] 72.395 8.502 56.793 72.039 90.052 FALSE 1 1.001 5211 harvd[31] 69.756 8.330 54.374 69.394 87.075 FALSE 1 1.000 11453 H[1] 3.001 0.548 2.022 2.967 4.163 FALSE 1 1.000 19000 H[2] 3.384 0.582 2.338 3.349 4.613 FALSE 1 1.000 79755 H[3] 3.328 0.581 2.295 3.294 4.555 FALSE 1 1.000 15470 H[4] 3.857 0.611 2.745 3.827 5.144 FALSE 1 1.000 42924 H[5] 3.064 0.551 2.081 3.030 4.235 FALSE 1 1.001 2057 H[6] 3.591 0.597 2.516 3.557 4.854 FALSE 1 1.000 139044 H[7] 2.304 0.482 1.457 2.271 3.339 FALSE 1 1.001 7859 H[8] 3.207 0.565 2.196 3.175 4.404 FALSE 1 1.000 110793 H[9] 4.287 0.653 3.110 4.254 5.662 FALSE 1 1.000 24778 H[10] 3.207 0.578 2.179 3.178 4.434 FALSE 1 1.002 1535 H[11] 3.572 0.594 2.506 3.537 4.827 FALSE 1 1.000 39161 H[12] 3.262 0.564 2.246 3.233 4.450 FALSE 1 1.000 13063 H[13] 3.468 0.587 2.411 3.437 4.696 FALSE 1 1.000 150000 H[14] 3.273 0.567 2.260 3.239 4.471 FALSE 1 1.000 18067 H[15] 6.115 0.778 4.689 6.079 7.733 FALSE 1 1.000 22248 H[16] 6.539 0.805 5.055 6.507 8.204 FALSE 1 1.000 11273 H[17] 7.933 0.890 6.291 7.897 9.771 FALSE 1 1.000 150000 H[18] 9.022 0.945 7.270 8.986 10.969 FALSE 1 1.000 150000 H[19] 9.536 0.967 7.737 9.506 11.514 FALSE 1 1.000 5884 H[20] 10.270 1.000 8.410 10.238 12.323 FALSE 1 1.000 150000 H[21] 10.958 1.038 9.021 10.926 13.087 FALSE 1 1.000 23761 H[22] 10.974 1.040 9.037 10.943 13.110 FALSE 1 1.000 13230 H[23] 14.110 1.182 11.887 14.076 16.506 FALSE 1 1.000 5247 H[24] 12.105 1.083 10.065 12.074 14.317 FALSE 1 1.000 46747 H[25] 16.984 1.290 14.537 16.954 19.605 FALSE 1 1.000 133991 H[26] 12.677 1.120 10.576 12.646 14.972 FALSE 1 1.000 43579 H[27] 14.131 1.183 11.903 14.099 16.541 FALSE 1 1.000 5565 H[28] 12.914 1.133 10.789 12.882 15.220 FALSE 1 1.000 100638 H[29] 17.042 1.302 14.588 17.010 19.701 FALSE 1 1.000 94215 H[30] 9.457 0.973 7.646 9.423 11.459 FALSE 1 1.000 7667 H[31] 9.767 0.986 7.926 9.731 11.796 FALSE 1 1.000 14458 hn[1] 0.007 0.004 0.001 0.006 0.018 FALSE 1 1.000 9437 hn[2] 0.020 0.007 0.009 0.019 0.035 FALSE 1 1.000 11831 hn[3] 0.010 0.005 0.003 0.009 0.021 FALSE 1 1.000 38533 hn[4] 0.016 0.005 0.007 0.015 0.028 FALSE 1 1.000 23253 hn[5] 0.017 0.006 0.007 0.016 0.029 FALSE 1 1.000 62174 hn[6] 0.017 0.006 0.008 0.016 0.029 FALSE 1 1.000 10192 hn[7] 0.013 0.005 0.005 0.013 0.025 FALSE 1 1.000 14484 hn[8] 0.016 0.005 0.008 0.016 0.028 FALSE 1 1.000 26636 hn[9] 0.024 0.006 0.013 0.023 0.037 FALSE 1 1.000 17355 hn[10] 0.010 0.004 0.004 0.010 0.020 FALSE 1 1.000 27855 hn[11] 0.013 0.005 0.005 0.012 0.023 FALSE 1 1.000 51425 hn[12] 0.012 0.004 0.005 0.012 0.022 FALSE 1 1.000 23282 hn[13] 0.017 0.005 0.009 0.016 0.028 FALSE 1 1.000 25148 hn[14] 0.019 0.005 0.010 0.019 0.031 FALSE 1 1.000 16417 hn[15] 0.021 0.005 0.012 0.020 0.031 FALSE 1 1.000 12708 hn[16] 0.027 0.006 0.017 0.027 0.040 FALSE 1 1.000 20560 hn[17] 0.031 0.006 0.020 0.031 0.045 FALSE 1 1.001 3247 hn[18] 0.027 0.005 0.018 0.027 0.039 FALSE 1 1.000 20568 hn[19] 0.028 0.005 0.019 0.028 0.039 FALSE 1 1.000 17888 hn[20] 0.032 0.006 0.022 0.031 0.044 FALSE 1 1.000 50899 hn[21] 0.023 0.005 0.015 0.023 0.034 FALSE 1 1.000 16471 hn[22] 0.020 0.005 0.013 0.020 0.030 FALSE 1 1.000 30793 hn[23] 0.019 0.004 0.011 0.019 0.029 FALSE 1 1.000 7819 hn[24] 0.035 0.006 0.024 0.035 0.049 FALSE 1 1.000 9488 hn[25] 0.031 0.005 0.021 0.030 0.042 FALSE 1 1.000 150000 hn[26] 0.029 0.006 0.019 0.029 0.042 FALSE 1 1.000 24847 hn[27] 0.032 0.006 0.022 0.032 0.044 FALSE 1 1.000 5992 hn[28] 0.041 0.007 0.028 0.040 0.055 FALSE 1 1.000 22431 hn[29] 0.047 0.007 0.033 0.046 0.062 FALSE 1 1.001 4049 hn[30] 0.025 0.006 0.015 0.025 0.038 FALSE 1 1.000 28786 hn[31] 0.033 0.007 0.021 0.033 0.048 FALSE 1 1.000 19128 hd[1] 0.065 0.013 0.042 0.064 0.094 FALSE 1 1.001 1613 hd[2] 0.055 0.012 0.035 0.054 0.079 FALSE 1 1.001 3037 hd[3] 0.056 0.011 0.036 0.055 0.080 FALSE 1 1.000 4367 hd[4] 0.052 0.010 0.035 0.052 0.074 FALSE 1 1.001 3208 hd[5] 0.040 0.009 0.025 0.040 0.060 FALSE 1 1.002 926 hd[6] 0.050 0.010 0.032 0.049 0.071 FALSE 1 1.000 44216 hd[7] 0.031 0.008 0.017 0.030 0.048 FALSE 1 1.001 2671 hd[8] 0.036 0.008 0.022 0.035 0.053 FALSE 1 1.000 8244 hd[9] 0.044 0.009 0.029 0.043 0.062 FALSE 1 1.000 13090 hd[10] 0.045 0.009 0.029 0.044 0.065 FALSE 1 1.003 794 hd[11] 0.044 0.009 0.029 0.043 0.062 FALSE 1 1.000 5620 hd[12] 0.038 0.008 0.024 0.038 0.055 FALSE 1 1.001 3327 hd[13] 0.032 0.007 0.020 0.031 0.047 FALSE 1 1.000 27088 hd[14] 0.026 0.006 0.016 0.026 0.039 FALSE 1 1.001 3730 hd[15] 0.050 0.008 0.036 0.050 0.067 FALSE 1 1.000 9916 hd[16] 0.050 0.008 0.036 0.050 0.068 FALSE 1 1.002 1644 hd[17] 0.062 0.009 0.045 0.061 0.081 FALSE 1 1.001 2891 hd[18] 0.064 0.009 0.049 0.064 0.082 FALSE 1 1.000 24945 hd[19] 0.057 0.008 0.043 0.056 0.073 FALSE 1 1.001 2234 hd[20] 0.063 0.008 0.049 0.063 0.080 FALSE 1 1.000 67484 hd[21] 0.089 0.010 0.070 0.088 0.110 FALSE 1 1.000 4279 hd[22] 0.088 0.010 0.069 0.087 0.109 FALSE 1 1.000 8142 hd[23] 0.123 0.013 0.100 0.123 0.149 FALSE 1 1.002 971 hd[24] 0.096 0.011 0.076 0.096 0.119 FALSE 1 1.001 1344 hd[25] 0.117 0.012 0.095 0.117 0.142 FALSE 1 1.000 9654 hd[26] 0.108 0.012 0.086 0.108 0.133 FALSE 1 1.001 2610 hd[27] 0.090 0.011 0.070 0.089 0.112 FALSE 1 1.001 3437 hd[28] 0.097 0.011 0.076 0.096 0.121 FALSE 1 1.000 7933 hd[29] 0.116 0.013 0.092 0.115 0.143 FALSE 1 1.001 2914 hd[30] 0.082 0.011 0.062 0.082 0.107 FALSE 1 1.001 12162 hd[31] 0.083 0.012 0.061 0.082 0.108 FALSE 1 1.000 4003 ho[1] 0.026 0.011 0.008 0.025 0.052 FALSE 1 1.000 6260 ho[2] 0.031 0.009 0.016 0.030 0.050 FALSE 1 1.000 4974 ho[3] 0.034 0.010 0.017 0.033 0.055 FALSE 1 1.000 7861 ho[4] 0.045 0.013 0.027 0.044 0.067 FALSE 1 1.020 9224 ho[5] 0.035 0.008 0.021 0.034 0.053 FALSE 1 1.002 1001 ho[6] 0.035 0.008 0.022 0.035 0.053 FALSE 1 1.000 47573 ho[7] 0.025 0.007 0.014 0.024 0.039 FALSE 1 1.001 2753 ho[8] 0.021 0.006 0.011 0.021 0.035 FALSE 1 1.000 15913 ho[9] 0.030 0.006 0.019 0.029 0.044 FALSE 1 1.000 12802 ho[10] 0.043 0.009 0.027 0.042 0.062 FALSE 1 1.003 785 ho[11] 0.027 0.006 0.016 0.026 0.041 FALSE 1 1.000 7074 ho[12] 0.028 0.006 0.018 0.028 0.042 FALSE 1 1.001 3730 ho[13] 0.023 0.005 0.014 0.023 0.034 FALSE 1 1.000 28452 ho[14] 0.019 0.005 0.011 0.019 0.030 FALSE 1 1.001 4369 ho[15] 0.032 0.006 0.022 0.032 0.044 FALSE 1 1.000 11184 ho[16] 0.032 0.006 0.022 0.031 0.044 FALSE 1 1.002 1726 ho[17] 0.026 0.005 0.018 0.026 0.036 FALSE 1 1.001 3555 ho[18] 0.034 0.006 0.024 0.034 0.047 FALSE 1 1.000 23757 ho[19] 0.036 0.005 0.026 0.035 0.047 FALSE 1 1.001 2282 ho[20] 0.034 0.005 0.025 0.034 0.045 FALSE 1 1.000 60443 ho[21] 0.051 0.007 0.039 0.051 0.065 FALSE 1 1.000 5775 ho[22] 0.050 0.007 0.038 0.049 0.064 FALSE 1 1.000 10387 ho[23] 0.044 0.005 0.034 0.043 0.055 FALSE 1 1.002 1230 ho[24] 0.076 0.009 0.059 0.075 0.095 FALSE 1 1.001 1414 ho[25] 0.040 0.005 0.031 0.040 0.050 FALSE 1 1.000 11180 ho[26] 0.031 0.005 0.023 0.031 0.041 FALSE 1 1.001 3815 ho[27] 0.033 0.005 0.024 0.033 0.044 FALSE 1 1.000 7331 ho[28] 0.017 0.004 0.011 0.017 0.025 FALSE 1 1.000 21588 ho[29] 0.060 0.007 0.047 0.059 0.074 FALSE 1 1.001 3255 ho[30] 0.054 0.008 0.040 0.053 0.070 FALSE 1 1.001 10684 ho[31] 0.045 0.007 0.032 0.044 0.060 FALSE 1 1.000 4266 h[1] 0.072 0.014 0.047 0.071 0.102 FALSE 1 1.001 1420 h[2] 0.074 0.014 0.050 0.073 0.103 FALSE 1 1.001 2611 h[3] 0.066 0.012 0.044 0.065 0.092 FALSE 1 1.000 4097 h[4] 0.068 0.012 0.047 0.067 0.093 FALSE 1 1.001 3001 h[5] 0.057 0.011 0.038 0.056 0.080 FALSE 1 1.002 1315 h[6] 0.066 0.012 0.046 0.066 0.091 FALSE 1 1.000 15575 h[7] 0.044 0.010 0.028 0.043 0.065 FALSE 1 1.001 2478 h[8] 0.053 0.010 0.035 0.052 0.073 FALSE 1 1.000 7475 h[9] 0.067 0.011 0.048 0.066 0.090 FALSE 1 1.000 8956 h[10] 0.055 0.010 0.037 0.054 0.077 FALSE 1 1.002 865 h[11] 0.057 0.010 0.039 0.056 0.078 FALSE 1 1.000 5439 h[12] 0.050 0.009 0.034 0.050 0.069 FALSE 1 1.001 3213 h[13] 0.049 0.009 0.033 0.048 0.067 FALSE 1 1.000 14389 h[14] 0.045 0.008 0.031 0.045 0.063 FALSE 1 1.001 3711 h[15] 0.071 0.010 0.053 0.070 0.091 FALSE 1 1.000 7994 h[16] 0.078 0.010 0.059 0.077 0.099 FALSE 1 1.001 1835 h[17] 0.093 0.011 0.072 0.093 0.117 FALSE 1 1.001 1697 h[18] 0.092 0.011 0.072 0.091 0.113 FALSE 1 1.000 13660 h[19] 0.085 0.010 0.067 0.085 0.105 FALSE 1 1.001 2331 h[20] 0.095 0.010 0.076 0.095 0.116 FALSE 1 1.000 52378 h[21] 0.112 0.012 0.091 0.112 0.136 FALSE 1 1.001 3608 h[22] 0.108 0.011 0.087 0.107 0.132 FALSE 1 1.000 7163 h[23] 0.142 0.014 0.117 0.142 0.171 FALSE 1 1.002 912 h[24] 0.131 0.013 0.107 0.131 0.159 FALSE 1 1.002 1330 h[25] 0.148 0.014 0.122 0.147 0.177 FALSE 1 1.000 11735 h[26] 0.138 0.014 0.112 0.137 0.166 FALSE 1 1.001 2643 h[27] 0.122 0.013 0.098 0.121 0.149 FALSE 1 1.001 2716 h[28] 0.137 0.014 0.111 0.137 0.167 FALSE 1 1.000 6743 h[29] 0.162 0.017 0.131 0.162 0.197 FALSE 1 1.001 2170 h[30] 0.108 0.014 0.083 0.107 0.136 FALSE 1 1.000 14756 h[31] 0.116 0.015 0.088 0.115 0.148 FALSE 1 1.000 4006 alpha[1] 0.406 0.149 0.140 0.399 0.708 FALSE 1 1.000 23364 alpha[2] 0.570 0.105 0.361 0.572 0.767 FALSE 1 1.000 150000 alpha[3] 0.607 0.122 0.359 0.611 0.828 FALSE 1 1.000 57550 alpha[4] 0.856 0.091 0.638 0.873 0.983 FALSE 1 1.000 79518 alpha[5] 0.863 0.072 0.696 0.874 0.969 FALSE 1 1.000 134101 alpha[6] 0.711 0.073 0.559 0.715 0.842 FALSE 1 1.000 41280 alpha[7] 0.808 0.046 0.711 0.811 0.889 FALSE 1 1.000 150000 alpha[8] 0.593 0.103 0.386 0.596 0.783 FALSE 1 1.000 150000 alpha[9] 0.686 0.054 0.575 0.687 0.786 FALSE 1 1.000 114000 alpha[10] 0.958 0.024 0.901 0.962 0.991 FALSE 1 1.000 37317 alpha[11] 0.613 0.080 0.452 0.616 0.763 FALSE 1 1.000 138800 alpha[12] 0.747 0.049 0.646 0.749 0.836 FALSE 1 1.000 104078 alpha[13] 0.720 0.056 0.605 0.722 0.822 FALSE 1 1.000 150000 alpha[14] 0.742 0.082 0.566 0.748 0.885 FALSE 1 1.000 150000 alpha[15] 0.633 0.051 0.530 0.634 0.731 FALSE 1 1.000 150000 alpha[16] 0.630 0.041 0.547 0.631 0.709 FALSE 1 1.000 67660 alpha[17] 0.421 0.040 0.344 0.421 0.500 FALSE 1 1.000 150000 alpha[18] 0.535 0.052 0.432 0.535 0.636 FALSE 1 1.000 34245 alpha[19] 0.628 0.036 0.557 0.628 0.696 FALSE 1 1.000 81290 alpha[20] 0.537 0.041 0.457 0.537 0.616 FALSE 1 1.000 150000 alpha[21] 0.577 0.036 0.505 0.577 0.647 FALSE 1 1.000 150000 alpha[22] 0.567 0.039 0.490 0.568 0.643 FALSE 1 1.000 94031 alpha[23] 0.353 0.024 0.306 0.353 0.402 FALSE 1 1.000 87510 alpha[24] 0.786 0.029 0.726 0.787 0.840 FALSE 1 1.000 150000 alpha[25] 0.343 0.023 0.299 0.342 0.388 FALSE 1 1.000 150000 alpha[26] 0.286 0.028 0.232 0.285 0.343 FALSE 1 1.000 129470 alpha[27] 0.368 0.034 0.302 0.368 0.436 FALSE 1 1.000 76194 alpha[28] 0.177 0.033 0.117 0.176 0.247 FALSE 1 1.000 150000 alpha[29] 0.515 0.016 0.483 0.515 0.547 FALSE 1 1.000 150000 alpha[30] 0.651 0.024 0.604 0.651 0.697 FALSE 1 1.000 60764 alpha[31] 0.542 0.039 0.466 0.543 0.617 FALSE 1 1.000 67679 dv 1.696 0.143 1.431 1.692 1.989 FALSE 1 1.001 11650 mlp_fit_stat 14.591 2.650 10.467 14.232 20.771 FALSE 1 1.002 1143 mlp_fit_pred_stat 13.789 6.057 5.627 12.617 28.757 FALSE 1 1.000 10485 mc_fit_stat 2.684 0.674 1.695 2.575 4.303 FALSE 1 1.001 4369 mc_fit_pred_stat 3.129 2.116 0.801 2.599 8.627 FALSE 1 1.000 15946 n_fit_stat 15.278 17.835 0.333 7.703 63.211 FALSE 1 1.002 1104 n_fit_pred_stat 16.688 22.300 0.331 7.698 77.658 FALSE 1 1.002 1552 w_fit_stat 3.066 0.863 1.645 2.976 4.999 FALSE 1 1.000 150000 w_fit_pred_stat 3.254 0.999 1.695 3.122 5.582 FALSE 1 1.000 150000 p_fit_stat 6.811 1.727 3.864 6.668 10.603 FALSE 1 1.000 61931 p_fit_pred_stat 6.707 1.704 3.796 6.559 10.438 FALSE 1 1.000 150000 hnor_fit_stat 7.972 2.086 4.442 7.784 12.561 FALSE 1 1.000 145826 hnor_fit_pred_stat 8.261 2.282 4.515 8.011 13.433 FALSE 1 1.000 149820 hden_fit_stat 8.170 2.107 4.583 7.987 12.817 FALSE 1 1.000 150000 hden_fit_pred_stat 7.861 2.015 4.453 7.691 12.292 FALSE 1 1.000 150000 deviance 1382.487 47.799 1284.847 1387.485 1461.037 FALSE 1 1.015 189 Successful convergence based on Rhat values (all < 1.1). Rhat is the potential scale reduction factor (at convergence, Rhat=1). For each parameter, n.eff is a crude measure of effective sample size. overlap0 checks if 0 falls in the parameter's 95% credible interval. f is the proportion of the posterior with the same sign as the mean; i.e., our confidence that the parameter is positive or negative. DIC info: (pD = var(deviance)/2) pD = 1130.3 and DIC = 2512.755 DIC is an estimate of expected predictive error (lower is better).