Inference for Bugs model at "/home/kubo/hirata/winbugs/model.bug.txt", fit using WinBUGS, 3 chains, each with 2000 iterations (first 1000 discarded), n.thin = 5 n.sims = 600 iterations saved mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff log.w[1] 1.328 0.031 1.264 1.310 1.331 1.348 1.385 1.003 420 log.w[2] 2.245 0.012 2.222 2.237 2.245 2.252 2.267 1.015 260 log.w[3] 1.723 0.020 1.683 1.709 1.722 1.736 1.761 1.006 400 log.w[4] 2.137 0.014 2.109 2.128 2.137 2.145 2.163 1.016 420 log.w[5] 1.496 0.026 1.443 1.479 1.497 1.512 1.548 1.009 600 log.w[6] 1.376 0.030 1.313 1.356 1.378 1.395 1.431 1.025 150 log.w[7] 1.572 0.023 1.528 1.557 1.572 1.587 1.617 1.010 230 log.w[8] 1.802 0.018 1.767 1.789 1.802 1.813 1.838 1.007 600 log.w[9] 1.593 0.022 1.548 1.578 1.593 1.609 1.637 1.024 140 log.w[10] 1.229 0.035 1.155 1.208 1.229 1.252 1.300 1.012 600 log.w[11] 0.680 0.053 0.570 0.646 0.681 0.716 0.785 1.003 590 log.w[12] 1.101 0.038 1.027 1.076 1.101 1.126 1.173 1.021 230 log.w[13] 1.871 0.018 1.835 1.860 1.870 1.884 1.907 1.027 250 log.w[14] 1.650 0.021 1.608 1.637 1.650 1.664 1.690 1.020 130 log.w[15] 1.092 0.037 1.016 1.069 1.093 1.116 1.160 1.013 600 log.w[16] 1.282 0.030 1.219 1.264 1.281 1.303 1.340 1.012 600 log.w[17] 0.884 0.045 0.792 0.856 0.885 0.913 0.971 1.002 600 log.w[18] 1.270 0.030 1.214 1.249 1.270 1.290 1.332 1.013 500 log.w[19] 1.391 0.030 1.328 1.371 1.393 1.411 1.449 1.017 300 log.w[20] 1.553 0.023 1.507 1.539 1.553 1.569 1.600 1.008 600 log.w[21] 1.903 0.016 1.871 1.892 1.903 1.914 1.936 1.003 600 log.w[22] 2.096 0.014 2.067 2.087 2.096 2.104 2.124 1.028 120 log.w[23] 1.847 0.019 1.808 1.834 1.848 1.859 1.886 1.023 600 log.w[24] 1.621 0.022 1.575 1.607 1.621 1.637 1.661 1.004 420 log.w[25] 1.407 0.025 1.355 1.391 1.408 1.423 1.455 1.013 600 log.w[26] 1.250 0.033 1.187 1.230 1.251 1.274 1.314 1.025 200 log.w[27] 1.337 0.029 1.280 1.317 1.337 1.356 1.400 1.008 600 log.w[28] 1.513 0.023 1.471 1.497 1.513 1.529 1.557 1.005 600 log.w[29] 0.527 0.060 0.402 0.491 0.527 0.565 0.645 1.021 230 log.w[30] 1.324 0.030 1.260 1.304 1.324 1.344 1.383 1.009 200 log.w[31] 1.515 0.023 1.469 1.500 1.515 1.530 1.559 1.029 72 log.w[32] 1.870 0.016 1.839 1.859 1.871 1.881 1.902 1.007 600 log.w[33] 1.927 0.017 1.893 1.916 1.928 1.937 1.959 1.018 470 log.w[34] 1.631 0.022 1.589 1.617 1.631 1.644 1.673 1.014 420 log.w[35] 1.473 0.026 1.420 1.456 1.474 1.490 1.524 1.000 600 log.w[36] 0.278 0.074 0.128 0.235 0.280 0.324 0.416 1.015 600 log.w[37] 1.020 0.039 0.942 0.993 1.019 1.048 1.094 1.004 600 log.w[38] 1.595 0.022 1.549 1.582 1.596 1.610 1.636 1.009 340 log.w[39] 1.556 0.023 1.508 1.540 1.555 1.572 1.601 1.002 600 log.w[40] 1.096 0.040 1.005 1.071 1.099 1.122 1.170 1.008 520 log.w[41] 1.742 0.019 1.701 1.730 1.743 1.753 1.780 1.025 250 log.w[42] 2.030 0.015 1.999 2.021 2.030 2.040 2.062 1.011 600 log.w[43] 1.846 0.017 1.811 1.836 1.846 1.858 1.879 1.004 600 log.w[44] 1.893 0.017 1.861 1.882 1.893 1.904 1.923 1.028 85 log.w[45] 1.550 0.022 1.508 1.535 1.549 1.564 1.595 1.006 280 log.w[46] 1.748 0.019 1.708 1.735 1.749 1.761 1.782 1.012 190 log.w[47] 1.268 0.032 1.204 1.246 1.270 1.290 1.331 1.010 230 log.w[48] 1.930 0.016 1.895 1.921 1.930 1.940 1.963 1.006 340 log.w[49] 1.704 0.021 1.664 1.691 1.704 1.718 1.745 1.000 600 log.w[50] 1.351 0.030 1.290 1.333 1.350 1.372 1.407 1.035 160 log.w[51] 0.841 0.048 0.742 0.813 0.845 0.875 0.925 1.016 170 log.w[52] 0.811 0.048 0.719 0.780 0.813 0.841 0.903 1.009 600 log.w[53] 1.855 0.018 1.821 1.844 1.854 1.867 1.891 1.006 600 log.w[54] 1.105 0.037 1.036 1.081 1.104 1.126 1.182 1.039 100 log.w[55] 0.306 0.075 0.149 0.261 0.307 0.353 0.450 1.001 600 log.w[56] 1.176 0.033 1.111 1.155 1.174 1.198 1.244 1.005 600 log.w[57] 1.668 0.021 1.628 1.654 1.668 1.682 1.707 1.006 440 log.w[58] 1.748 0.020 1.707 1.736 1.749 1.761 1.787 1.010 210 log.w[59] 1.779 0.019 1.742 1.768 1.779 1.791 1.816 1.002 600 log.w[60] 1.997 0.016 1.962 1.987 1.996 2.006 2.026 1.018 470 log.w[61] 1.231 0.031 1.164 1.213 1.232 1.251 1.284 1.002 600 log.w[62] 0.688 0.049 0.585 0.656 0.691 0.718 0.787 1.010 600 log.w[63] 1.856 0.018 1.820 1.845 1.857 1.868 1.893 1.031 550 log.w[64] 1.656 0.021 1.614 1.644 1.657 1.669 1.698 1.036 100 log.w[65] 2.068 0.014 2.042 2.059 2.069 2.077 2.094 1.001 600 log.w[66] 1.557 0.022 1.511 1.542 1.557 1.572 1.598 1.005 370 log.w[67] 1.788 0.019 1.745 1.776 1.788 1.800 1.824 1.046 59 log.w[68] 1.895 0.017 1.861 1.884 1.895 1.906 1.925 1.016 160 log.w[69] 1.356 0.027 1.303 1.338 1.359 1.374 1.406 1.003 490 log.w[70] 0.518 0.061 0.384 0.482 0.520 0.557 0.623 1.004 600 log.w[71] 1.454 0.026 1.402 1.437 1.453 1.471 1.504 1.010 320 log.w[72] 1.373 0.027 1.321 1.355 1.373 1.390 1.426 1.044 55 log.w[73] 0.149 0.092 -0.062 0.094 0.156 0.211 0.311 1.008 600 log.w[74] 2.110 0.015 2.084 2.101 2.109 2.120 2.142 1.000 600 log.w[75] 0.783 0.051 0.672 0.751 0.786 0.816 0.877 1.012 600 log.w[76] -0.154 0.121 -0.421 -0.225 -0.150 -0.078 0.062 1.028 100 log.w[77] 1.244 0.032 1.187 1.223 1.245 1.266 1.307 1.007 600 log.w[78] 0.977 0.040 0.899 0.948 0.977 1.001 1.055 1.003 600 log.w[79] 1.544 0.022 1.500 1.530 1.544 1.559 1.587 1.005 600 log.w[80] 1.461 0.027 1.406 1.445 1.462 1.477 1.511 1.011 600 log.w[81] 0.786 0.049 0.690 0.753 0.790 0.818 0.885 1.013 240 log.w[82] 1.023 0.041 0.943 0.995 1.023 1.053 1.095 1.032 96 log.w[83] 1.674 0.022 1.633 1.661 1.674 1.689 1.718 1.000 600 log.w[84] 1.104 0.035 1.039 1.082 1.102 1.126 1.182 1.005 330 log.w[85] 0.880 0.045 0.790 0.851 0.880 0.909 0.973 1.011 200 log.w[86] 1.492 0.025 1.440 1.476 1.492 1.508 1.541 1.009 440 log.w[87] 1.455 0.027 1.402 1.439 1.457 1.472 1.509 1.022 600 log.w[88] 1.663 0.021 1.623 1.648 1.664 1.675 1.704 1.006 600 log.w[89] 1.882 0.018 1.846 1.872 1.882 1.892 1.916 1.017 250 log.w[90] 1.376 0.030 1.311 1.357 1.378 1.396 1.428 1.012 600 log.w[91] 1.592 0.022 1.545 1.578 1.593 1.607 1.637 1.012 200 log.w[92] 1.436 0.025 1.384 1.417 1.436 1.454 1.483 1.032 100 log.w[93] 0.486 0.066 0.338 0.450 0.490 0.530 0.600 1.003 600 log.w[94] 0.344 0.073 0.188 0.300 0.343 0.393 0.484 1.004 600 log.w[95] 1.316 0.029 1.257 1.298 1.316 1.336 1.375 1.011 240 log.w[96] 1.641 0.021 1.593 1.626 1.641 1.655 1.681 1.015 210 log.w[97] 1.799 0.019 1.762 1.787 1.799 1.811 1.837 1.014 600 log.w[98] 1.106 0.038 1.027 1.080 1.108 1.132 1.180 1.007 320 log.w[99] 1.445 0.028 1.387 1.428 1.446 1.462 1.501 1.021 170 log.w[100] 1.312 0.029 1.252 1.291 1.312 1.332 1.366 1.002 600 log.w[101] 1.370 0.029 1.310 1.352 1.369 1.388 1.424 1.008 600 log.w[102] 1.364 0.029 1.309 1.346 1.366 1.382 1.422 1.033 62 log.w[103] 1.483 0.026 1.432 1.465 1.483 1.501 1.532 1.015 600 log.w[104] 0.989 0.041 0.898 0.962 0.993 1.016 1.066 1.005 600 log.w[105] 0.651 0.059 0.521 0.614 0.655 0.690 0.760 1.000 600 log.w[106] -0.327 0.157 -0.698 -0.418 -0.313 -0.228 -0.047 1.040 210 log.w[107] 1.113 0.039 1.032 1.087 1.114 1.140 1.183 1.031 130 log.w[108] 0.875 0.047 0.775 0.847 0.876 0.907 0.966 1.006 600 log.w[109] 1.126 0.039 1.044 1.103 1.127 1.154 1.196 1.003 600 log.w[110] 1.408 0.028 1.351 1.391 1.410 1.425 1.455 1.010 480 log.w[111] 1.818 0.018 1.780 1.805 1.817 1.831 1.852 1.003 600 log.w[112] 0.931 0.043 0.839 0.905 0.933 0.958 1.008 1.002 600 log.w[113] 1.557 0.024 1.512 1.541 1.556 1.572 1.604 1.028 73 log.w[114] 1.439 0.027 1.384 1.423 1.438 1.456 1.490 1.012 150 log.w[115] 1.162 0.033 1.099 1.140 1.161 1.184 1.231 1.021 130 log.w[116] 0.636 0.059 0.517 0.598 0.639 0.674 0.748 1.020 600 log.w[117] 1.117 0.037 1.036 1.093 1.118 1.140 1.188 1.012 400 log.w[118] 0.867 0.045 0.774 0.841 0.869 0.893 0.954 1.007 600 log.w[119] 1.132 0.036 1.057 1.109 1.135 1.155 1.197 1.006 430 log.w[120] 1.487 0.026 1.436 1.469 1.490 1.504 1.538 1.034 290 log.w[121] 1.285 0.031 1.221 1.266 1.286 1.307 1.344 1.017 340 log.w[122] 0.312 0.078 0.158 0.268 0.318 0.360 0.455 1.008 600 log.w[123] 1.638 0.022 1.596 1.623 1.637 1.653 1.681 1.004 600 log.w[124] 1.711 0.020 1.673 1.697 1.710 1.724 1.751 1.013 380 log.w[125] 1.450 0.026 1.395 1.433 1.452 1.466 1.497 1.008 300 log.w[126] 1.607 0.023 1.558 1.593 1.607 1.623 1.648 1.020 160 log.w[127] 1.174 0.035 1.105 1.153 1.174 1.196 1.240 1.008 600 log.w[128] 1.232 0.033 1.165 1.212 1.234 1.253 1.293 1.032 83 log.w[129] 1.372 0.029 1.315 1.353 1.372 1.391 1.428 1.006 600 log.w[130] 1.913 0.016 1.882 1.904 1.914 1.923 1.945 1.009 240 log.w[131] 2.231 0.012 2.207 2.223 2.230 2.238 2.254 1.009 440 log.w[132] 1.434 0.024 1.383 1.420 1.433 1.449 1.482 1.006 350 log.w[133] 2.179 0.012 2.156 2.171 2.179 2.188 2.203 1.015 240 log.w[134] 1.399 0.026 1.343 1.383 1.400 1.416 1.449 1.013 320 log.w[135] 2.197 0.013 2.167 2.188 2.197 2.205 2.220 1.016 190 log.w[136] 1.858 0.018 1.820 1.846 1.859 1.870 1.891 1.013 600 log.w[137] 1.271 0.029 1.215 1.252 1.271 1.289 1.327 1.014 130 log.w[138] 1.278 0.029 1.222 1.260 1.278 1.296 1.336 1.004 600 log.w[139] 1.428 0.027 1.374 1.410 1.428 1.446 1.483 1.003 600 log.w[140] 2.048 0.013 2.020 2.039 2.048 2.055 2.075 1.005 600 log.w[141] 1.934 0.016 1.900 1.924 1.934 1.944 1.965 1.007 600 log.w[142] 2.232 0.012 2.208 2.224 2.232 2.240 2.257 1.010 210 log.w[143] 1.821 0.017 1.788 1.809 1.821 1.832 1.854 1.000 600 log.w[144] 1.502 0.025 1.450 1.486 1.502 1.518 1.550 1.006 270 log.w[145] 0.469 0.070 0.326 0.427 0.468 0.517 0.599 1.014 600 log.w[146] 1.868 0.017 1.832 1.857 1.869 1.879 1.899 1.027 230 log.w[147] 1.171 0.031 1.110 1.150 1.171 1.190 1.232 1.027 82 log.w[148] 1.364 0.027 1.316 1.345 1.363 1.381 1.422 1.009 190 log.w[149] 1.411 0.028 1.354 1.393 1.412 1.430 1.469 1.008 600 log.w[150] 1.348 0.028 1.289 1.329 1.350 1.367 1.399 1.001 600 log.w[151] 1.476 0.025 1.425 1.460 1.475 1.492 1.523 1.007 600 log.w[152] 1.677 0.020 1.637 1.664 1.676 1.688 1.721 1.007 430 log.w[153] 1.152 0.036 1.086 1.129 1.152 1.175 1.221 1.002 600 log.w[154] 1.503 0.025 1.451 1.487 1.504 1.519 1.552 1.005 600 log.w[155] 1.982 0.015 1.952 1.973 1.982 1.992 2.011 1.002 600 log.w[156] 1.234 0.035 1.163 1.214 1.235 1.255 1.304 1.005 600 log.w[157] 1.241 0.031 1.175 1.221 1.243 1.261 1.298 1.012 270 log.w[158] 0.734 0.051 0.626 0.703 0.734 0.768 0.826 1.008 440 log.w[159] 0.565 0.062 0.436 0.523 0.572 0.606 0.679 1.034 97 log.w[160] 1.669 0.022 1.627 1.656 1.669 1.683 1.714 1.015 230 log.w[161] 1.293 0.029 1.237 1.274 1.293 1.313 1.348 1.010 360 log.w[162] 1.326 0.032 1.262 1.307 1.328 1.346 1.385 1.009 240 log.w[163] 1.477 0.027 1.423 1.458 1.477 1.495 1.532 1.015 190 log.w[164] 1.303 0.028 1.248 1.283 1.302 1.321 1.362 1.023 92 log.w[165] 0.775 0.051 0.681 0.739 0.776 0.810 0.872 1.005 600 log.w[166] 2.137 0.014 2.109 2.129 2.138 2.146 2.165 1.017 280 log.w[167] 0.892 0.046 0.793 0.864 0.892 0.923 0.976 1.006 600 log.w[168] 1.281 0.031 1.221 1.260 1.281 1.301 1.341 1.026 190 log.w[169] 1.523 0.025 1.470 1.509 1.523 1.541 1.569 1.004 550 log.w[170] 1.052 0.038 0.976 1.025 1.052 1.078 1.126 1.015 240 log.w[171] 1.084 0.039 1.013 1.062 1.085 1.108 1.157 1.038 340 log.w[172] 1.507 0.026 1.453 1.491 1.508 1.524 1.556 1.006 600 log.w[173] 1.710 0.020 1.670 1.696 1.710 1.724 1.752 1.005 410 log.w[174] 1.716 0.020 1.672 1.704 1.716 1.729 1.756 1.006 600 log.w[175] 1.237 0.032 1.174 1.216 1.236 1.258 1.299 1.003 440 log.w[176] 1.808 0.018 1.770 1.797 1.809 1.819 1.843 1.019 330 log.w[177] 1.440 0.027 1.386 1.424 1.440 1.458 1.491 1.024 150 log.w[178] 0.758 0.053 0.651 0.724 0.758 0.794 0.858 1.025 450 log.w[179] 1.108 0.035 1.039 1.082 1.109 1.132 1.175 1.004 390 log.w[180] 1.308 0.028 1.254 1.289 1.308 1.325 1.362 1.005 320 log.w[181] 0.835 0.045 0.744 0.804 0.834 0.862 0.933 1.003 580 log.w[182] 1.568 0.022 1.524 1.555 1.568 1.582 1.610 1.027 260 log.w[183] 1.044 0.039 0.961 1.019 1.045 1.071 1.119 1.008 600 log.w[184] 1.640 0.021 1.598 1.625 1.641 1.653 1.681 1.000 600 log.w[185] 0.969 0.041 0.885 0.943 0.971 0.996 1.050 1.015 290 log.w[186] 1.034 0.037 0.958 1.008 1.035 1.060 1.105 1.008 600 log.w[187] 0.678 0.056 0.561 0.643 0.678 0.713 0.790 1.020 600 log.w[188] 1.452 0.025 1.398 1.438 1.453 1.469 1.500 1.015 200 log.w[189] 1.643 0.022 1.600 1.629 1.643 1.657 1.685 1.011 530 log.w[190] 1.290 0.031 1.226 1.273 1.290 1.309 1.350 1.006 600 log.w[191] 0.324 0.079 0.164 0.277 0.324 0.379 0.470 1.000 600 log.w[192] 0.152 0.092 -0.044 0.096 0.156 0.217 0.316 1.010 180 log.w[193] 1.132 0.036 1.057 1.110 1.135 1.156 1.202 1.002 600 log.w[194] 1.550 0.023 1.502 1.535 1.550 1.565 1.598 1.006 410 log.w[195] 0.793 0.047 0.701 0.762 0.792 0.823 0.889 1.005 600 log.w[196] 1.491 0.026 1.442 1.474 1.491 1.508 1.541 1.020 260 log.w[197] 1.301 0.031 1.238 1.281 1.301 1.321 1.359 0.999 600 log.w[198] 0.504 0.073 0.341 0.462 0.510 0.554 0.620 1.120 130 log.w[199] 1.863 0.018 1.829 1.852 1.864 1.875 1.898 1.009 380 log.w[200] 1.540 0.023 1.493 1.525 1.542 1.555 1.581 1.016 180 log.w[201] 1.047 0.038 0.972 1.020 1.049 1.073 1.117 1.015 340 log.w[202] 1.637 0.023 1.593 1.622 1.636 1.649 1.683 1.016 600 log.w[203] 1.522 0.026 1.472 1.507 1.523 1.540 1.571 1.012 600 log.w[204] 1.212 0.035 1.143 1.190 1.214 1.234 1.282 1.003 410 log.w[205] 1.100 0.037 1.024 1.075 1.100 1.125 1.175 1.006 600 log.w[206] 1.791 0.018 1.755 1.780 1.792 1.803 1.823 1.024 160 log.w[207] 0.392 0.070 0.252 0.349 0.394 0.441 0.530 1.005 600 log.w[208] 1.136 0.037 1.062 1.115 1.136 1.161 1.207 0.999 600 log.w[209] 1.464 0.026 1.412 1.449 1.464 1.480 1.512 1.013 140 log.w[210] 1.632 0.022 1.585 1.619 1.633 1.646 1.672 1.002 600 log.w[211] 1.549 0.024 1.500 1.534 1.550 1.564 1.591 1.011 430 log.w[212] 0.787 0.046 0.692 0.760 0.786 0.815 0.874 1.012 210 log.w[213] 1.115 0.037 1.044 1.091 1.115 1.138 1.190 1.004 500 log.w[214] 1.832 0.017 1.794 1.821 1.833 1.844 1.864 1.008 600 log.w[215] 1.376 0.027 1.319 1.359 1.378 1.394 1.424 1.003 520 log.w[216] 1.727 0.020 1.686 1.715 1.727 1.741 1.766 1.010 210 log.w[217] 1.408 0.026 1.353 1.392 1.410 1.423 1.458 1.008 480 log.w[218] 1.369 0.027 1.314 1.351 1.368 1.385 1.423 1.004 490 log.w[219] 1.305 0.029 1.250 1.286 1.306 1.325 1.359 1.006 370 log.w[220] 1.560 0.023 1.517 1.545 1.561 1.575 1.602 1.012 230 log.w[221] 1.611 0.021 1.569 1.598 1.610 1.625 1.653 1.002 600 log.w[222] 1.169 0.034 1.104 1.147 1.167 1.193 1.233 1.023 150 log.w[223] 2.649 0.008 2.634 2.643 2.649 2.654 2.666 1.007 360 log.w[224] 0.857 0.047 0.763 0.829 0.858 0.890 0.948 1.002 600 log.w[225] 1.493 0.026 1.442 1.476 1.494 1.508 1.542 1.024 250 log.w[226] 1.905 0.018 1.868 1.895 1.905 1.916 1.940 1.022 200 log.w[227] 1.245 0.032 1.175 1.226 1.246 1.265 1.309 1.006 600 log.w[228] 0.938 0.039 0.859 0.912 0.939 0.964 1.014 1.012 600 log.w[229] 0.699 0.054 0.583 0.668 0.699 0.733 0.805 1.003 600 log.w[230] 0.541 0.062 0.411 0.503 0.543 0.580 0.657 1.017 600 log.w[231] 1.187 0.035 1.110 1.166 1.189 1.210 1.253 1.017 600 log.w[232] 0.801 0.050 0.693 0.769 0.804 0.835 0.902 1.000 600 log.w[233] 1.238 0.031 1.173 1.217 1.241 1.259 1.292 1.011 600 log.w[234] 2.412 0.009 2.394 2.406 2.413 2.418 2.430 1.006 600 log.w[235] 1.411 0.027 1.354 1.394 1.411 1.428 1.466 1.002 600 log.w[236] 1.330 0.028 1.272 1.313 1.329 1.347 1.383 1.013 270 log.w[237] 1.564 0.024 1.513 1.551 1.566 1.578 1.609 1.048 77 log.w[238] 1.161 0.034 1.088 1.137 1.165 1.184 1.222 1.022 150 log.w[239] 1.805 0.018 1.769 1.793 1.805 1.816 1.842 1.014 140 log.w[240] 1.665 0.021 1.622 1.651 1.664 1.677 1.704 1.011 600 log.w[241] 1.076 0.036 1.005 1.053 1.076 1.100 1.142 1.012 600 log.w[242] 0.843 0.048 0.735 0.816 0.846 0.877 0.925 1.009 260 log.w[243] 1.238 0.030 1.174 1.220 1.241 1.257 1.294 1.005 470 log.w[244] 1.125 0.036 1.052 1.101 1.127 1.149 1.193 1.012 240 log.w[245] 1.587 0.024 1.541 1.574 1.588 1.603 1.632 1.008 600 log.w[246] 1.420 0.027 1.370 1.404 1.421 1.437 1.469 1.003 600 log.w[247] 1.034 0.038 0.957 1.008 1.033 1.061 1.106 1.002 600 log.w[248] 1.521 0.023 1.474 1.507 1.520 1.536 1.569 1.025 130 log.w[249] 1.131 0.035 1.058 1.110 1.130 1.155 1.196 1.025 140 log.w[250] 1.818 0.018 1.782 1.806 1.818 1.829 1.854 1.007 600 log.w[251] 1.456 0.026 1.399 1.439 1.455 1.473 1.507 1.000 600 log.w[252] 1.503 0.025 1.456 1.488 1.503 1.518 1.552 1.022 120 log.w[253] 1.198 0.033 1.130 1.178 1.198 1.220 1.260 1.031 340 log.w[254] 1.249 0.031 1.187 1.228 1.248 1.270 1.305 1.006 350 log.w[255] 1.431 0.027 1.377 1.413 1.432 1.449 1.483 1.027 140 log.w[256] 1.477 0.025 1.429 1.461 1.478 1.494 1.524 1.006 600 log.w[257] 1.668 0.022 1.625 1.655 1.669 1.683 1.709 1.020 510 log.w[258] 1.791 0.019 1.752 1.779 1.791 1.805 1.828 1.010 320 log.w[259] 0.795 0.049 0.692 0.759 0.798 0.826 0.891 1.007 600 log.w[260] 0.797 0.046 0.701 0.768 0.798 0.827 0.884 1.005 550 log.w[261] 1.252 0.030 1.191 1.233 1.251 1.271 1.313 1.016 350 log.w[262] 1.463 0.026 1.416 1.446 1.462 1.480 1.519 1.005 600 log.w[263] 1.386 0.028 1.330 1.368 1.386 1.405 1.440 1.024 95 log.w[264] 1.271 0.030 1.208 1.253 1.270 1.291 1.329 1.012 600 log.w[265] 1.029 0.041 0.942 1.004 1.029 1.057 1.103 1.016 350 log.w[266] 0.625 0.060 0.504 0.586 0.628 0.664 0.740 1.006 380 log.w[267] 1.325 0.029 1.268 1.306 1.325 1.345 1.384 1.008 390 log.w[268] -0.491 0.238 -1.093 -0.601 -0.468 -0.331 -0.142 1.039 71 log.w[269] 0.896 0.042 0.816 0.870 0.894 0.922 0.978 1.014 150 log.w[270] 0.898 0.045 0.807 0.868 0.900 0.928 0.987 1.011 290 log.w[271] 1.740 0.020 1.700 1.727 1.741 1.753 1.778 1.010 260 log.w[272] 1.573 0.023 1.525 1.558 1.573 1.589 1.619 1.005 310 log.w[273] 1.038 0.041 0.958 1.013 1.039 1.066 1.115 1.015 300 log.w[274] 1.368 0.027 1.316 1.351 1.369 1.386 1.420 1.020 390 log.w[275] 1.993 0.016 1.961 1.983 1.991 2.003 2.024 1.012 510 log.w[276] 1.622 0.021 1.584 1.608 1.622 1.635 1.666 1.008 600 log.w[277] 1.633 0.022 1.586 1.620 1.633 1.648 1.674 1.006 600 log.w[278] 0.909 0.048 0.803 0.879 0.913 0.942 0.994 1.008 210 log.w[279] 1.432 0.028 1.370 1.415 1.433 1.451 1.481 1.017 260 log.w[280] 1.043 0.039 0.964 1.018 1.043 1.066 1.122 1.003 600 log.w[281] 0.944 0.045 0.855 0.918 0.945 0.974 1.026 1.025 140 log.w[282] 1.401 0.030 1.338 1.383 1.402 1.420 1.456 1.006 600 log.w[283] 2.058 0.015 2.029 2.049 2.059 2.069 2.086 1.012 600 log.w[284] 1.600 0.022 1.555 1.585 1.602 1.615 1.639 1.010 600 log.w[285] 1.480 0.026 1.422 1.465 1.482 1.498 1.528 1.010 600 log.w[286] 1.328 0.029 1.267 1.310 1.329 1.347 1.383 1.012 230 log.w[287] 1.211 0.033 1.147 1.189 1.211 1.232 1.277 1.010 600 log.w[288] 1.216 0.033 1.149 1.196 1.217 1.238 1.277 1.012 320 log.w[289] 0.967 0.041 0.880 0.942 0.968 0.994 1.043 1.009 600 log.w[290] 1.589 0.022 1.546 1.575 1.589 1.603 1.629 1.002 600 log.w[291] 1.557 0.023 1.508 1.543 1.557 1.573 1.599 1.022 100 log.w[292] 1.447 0.025 1.393 1.431 1.449 1.464 1.496 1.012 260 log.w[293] 1.079 0.037 1.008 1.053 1.081 1.102 1.150 1.005 600 log.w[294] 1.225 0.033 1.158 1.207 1.227 1.247 1.283 1.014 260 log.w[295] 1.609 0.021 1.568 1.594 1.609 1.622 1.652 1.001 600 log.w[296] 1.531 0.025 1.480 1.514 1.531 1.547 1.579 1.006 280 log.w[297] 1.337 0.025 1.285 1.319 1.339 1.354 1.382 1.004 550 log.w[298] 0.946 0.039 0.867 0.922 0.947 0.972 1.026 1.015 160 log.w[299] 1.339 0.029 1.275 1.322 1.340 1.358 1.395 1.004 470 log.w[300] 1.544 0.025 1.492 1.528 1.545 1.560 1.591 1.004 600 log.w[301] 1.377 0.027 1.321 1.359 1.376 1.395 1.428 1.004 390 log.w[302] 2.163 0.014 2.137 2.155 2.163 2.171 2.189 1.025 480 log.w[303] 2.226 0.013 2.201 2.218 2.227 2.234 2.253 1.006 600 log.w[304] 1.445 0.025 1.392 1.428 1.445 1.463 1.490 1.005 540 log.w[305] 1.547 0.021 1.506 1.533 1.547 1.559 1.593 1.018 130 log.w[306] 0.937 0.043 0.853 0.908 0.937 0.962 1.025 1.038 64 log.w[307] 2.269 0.011 2.248 2.262 2.269 2.276 2.290 1.003 600 log.w[308] 0.276 0.079 0.090 0.228 0.281 0.328 0.416 1.003 600 log.w[309] 1.841 0.018 1.804 1.829 1.842 1.853 1.874 1.001 600 log.w[310] 1.423 0.025 1.376 1.406 1.423 1.439 1.470 1.013 220 log.w[311] 1.567 0.022 1.523 1.554 1.566 1.580 1.610 1.008 600 log.w[312] 1.565 0.023 1.513 1.549 1.566 1.581 1.605 1.010 310 log.w[313] 1.846 0.017 1.811 1.835 1.846 1.857 1.879 1.005 450 log.w[314] 0.993 0.038 0.922 0.969 0.993 1.015 1.070 1.005 580 log.w[315] -0.184 0.130 -0.461 -0.269 -0.178 -0.092 0.053 1.018 450 log.w[316] 0.734 0.054 0.622 0.703 0.737 0.769 0.830 1.019 210 log.w[317] 0.530 0.062 0.408 0.487 0.529 0.572 0.647 1.020 220 log.w[318] 1.138 0.037 1.058 1.114 1.139 1.161 1.213 1.022 220 log.w[319] 1.705 0.021 1.660 1.692 1.706 1.719 1.750 1.010 490 log.w[320] 1.132 0.036 1.055 1.110 1.135 1.155 1.196 1.002 600 log.w[321] 0.532 0.070 0.384 0.491 0.535 0.576 0.666 1.029 170 log.w[322] 1.748 0.019 1.712 1.736 1.748 1.762 1.782 1.009 600 log.w[323] 1.485 0.025 1.440 1.468 1.484 1.501 1.536 1.016 150 log.w[324] 1.218 0.033 1.155 1.198 1.220 1.238 1.282 1.005 600 log.w[325] 1.068 0.039 0.990 1.045 1.067 1.091 1.147 1.029 100 log.w[326] 1.442 0.028 1.385 1.423 1.443 1.463 1.495 1.007 370 log.w[327] 1.521 0.023 1.472 1.508 1.522 1.536 1.564 1.006 520 log.w[328] 0.563 0.063 0.434 0.524 0.566 0.603 0.684 1.014 440 log.w[329] 1.052 0.040 0.971 1.028 1.054 1.077 1.132 1.025 110 log.w[330] 1.441 0.027 1.389 1.425 1.441 1.458 1.495 1.026 240 log.w[331] 1.735 0.018 1.696 1.723 1.736 1.746 1.769 1.019 240 log.w[332] 1.107 0.036 1.032 1.085 1.108 1.130 1.176 1.015 420 log.w[333] 1.643 0.021 1.605 1.630 1.643 1.656 1.681 1.034 64 log.w[334] 1.856 0.016 1.825 1.845 1.855 1.867 1.888 1.007 250 log.w[335] 1.116 0.035 1.045 1.094 1.114 1.140 1.185 1.013 280 log.w[336] 0.605 0.057 0.491 0.568 0.606 0.643 0.712 1.016 130 log.w[337] 0.324 0.087 0.138 0.270 0.329 0.384 0.479 1.010 210 log.w[338] 1.799 0.018 1.765 1.788 1.800 1.812 1.833 1.006 600 log.w[339] 0.363 0.078 0.198 0.317 0.363 0.415 0.512 1.015 350 log.w[340] 0.991 0.045 0.906 0.961 0.993 1.021 1.076 1.007 310 log.w[341] 1.580 0.023 1.533 1.565 1.581 1.596 1.626 1.003 440 log.w[342] 1.377 0.027 1.319 1.359 1.376 1.395 1.429 1.012 240 log.w[343] 1.156 0.038 1.078 1.134 1.158 1.182 1.220 1.026 150 log.w[344] 1.638 0.023 1.593 1.623 1.639 1.652 1.681 1.026 270 log.w[345] 1.380 0.027 1.327 1.362 1.378 1.397 1.433 1.005 600 log.w[346] 0.751 0.050 0.658 0.717 0.751 0.785 0.846 1.003 600 log.w[347] 1.511 0.024 1.460 1.497 1.511 1.526 1.555 1.016 250 log.w[348] 1.704 0.020 1.662 1.691 1.705 1.717 1.742 1.001 600 log.w[349] 0.343 0.079 0.181 0.293 0.350 0.399 0.479 1.018 180 log.w[350] 0.025 0.101 -0.175 -0.042 0.030 0.094 0.224 1.009 600 log.w[351] 1.089 0.040 1.004 1.066 1.092 1.112 1.164 1.011 600 log.w[352] 1.565 0.024 1.517 1.551 1.565 1.579 1.611 1.023 270 log.w[353] 1.651 0.021 1.611 1.638 1.651 1.665 1.694 1.008 270 log.w[354] 0.553 0.060 0.431 0.513 0.552 0.596 0.660 1.005 320 log.w[355] 0.970 0.041 0.886 0.944 0.971 0.998 1.048 1.011 370 log.w[356] 0.621 0.062 0.480 0.580 0.627 0.662 0.731 1.012 170 log.w[357] 1.047 0.037 0.974 1.022 1.047 1.073 1.121 0.999 600 log.w[358] 0.832 0.050 0.720 0.803 0.832 0.865 0.934 1.028 89 log.w[359] 1.665 0.021 1.624 1.650 1.666 1.678 1.706 1.013 160 log.w[360] 1.765 0.020 1.724 1.753 1.766 1.778 1.805 1.006 600 log.w[361] 1.769 0.019 1.730 1.757 1.769 1.783 1.805 1.009 600 log.w[362] 1.009 0.039 0.930 0.986 1.010 1.037 1.084 1.008 270 log.w[363] 1.485 0.026 1.434 1.469 1.484 1.503 1.535 1.019 230 log.w[364] 1.295 0.032 1.239 1.272 1.294 1.315 1.360 1.008 210 log.w[365] 1.247 0.030 1.189 1.228 1.248 1.267 1.300 1.006 340 log.w[366] 1.175 0.033 1.111 1.153 1.176 1.197 1.240 1.018 470 log.w[367] 1.736 0.021 1.694 1.722 1.736 1.750 1.776 1.028 75 log.w[368] 1.455 0.025 1.407 1.438 1.452 1.472 1.505 1.013 250 log.w[369] 1.866 0.018 1.830 1.854 1.865 1.877 1.902 1.007 600 log.w[370] 1.995 0.015 1.964 1.985 1.995 2.005 2.025 1.006 350 log.w[371] 2.000 0.016 1.970 1.989 1.999 2.010 2.033 1.008 600 log.w[372] 1.073 0.037 0.993 1.053 1.074 1.098 1.144 1.013 230 log.w[373] -0.257 0.135 -0.550 -0.336 -0.245 -0.166 -0.018 1.013 240 log.w[374] 0.738 0.054 0.632 0.702 0.744 0.773 0.841 1.041 63 log.w[375] 2.078 0.014 2.050 2.069 2.078 2.088 2.105 1.014 280 log.w[376] 1.776 0.018 1.738 1.765 1.776 1.788 1.810 1.004 380 log.w[377] 1.726 0.021 1.684 1.713 1.726 1.739 1.769 1.020 230 log.w[378] 1.227 0.032 1.157 1.208 1.229 1.248 1.284 1.006 560 log.w[379] 1.495 0.026 1.446 1.478 1.493 1.512 1.546 1.003 450 log.w[380] 1.234 0.031 1.174 1.214 1.234 1.253 1.293 1.022 180 log.w[381] 0.765 0.054 0.649 0.735 0.769 0.801 0.863 1.017 240 log.w[382] 0.906 0.046 0.813 0.878 0.906 0.932 1.002 1.022 140 log.w[383] 1.310 0.028 1.262 1.292 1.308 1.329 1.365 1.026 94 log.w[384] 1.348 0.028 1.298 1.330 1.348 1.365 1.405 1.012 180 log.w[385] 1.219 0.033 1.154 1.196 1.220 1.240 1.284 1.004 570 log.w[386] 1.893 0.016 1.860 1.883 1.894 1.904 1.924 1.021 110 log.w[387] 1.079 0.036 1.005 1.058 1.079 1.103 1.148 1.009 600 log.w[388] 1.672 0.022 1.627 1.659 1.674 1.687 1.711 1.016 600 log.w[389] 1.173 0.033 1.100 1.152 1.175 1.194 1.236 1.007 230 log.w[390] 1.360 0.029 1.302 1.341 1.359 1.378 1.417 1.016 160 log.w[391] 1.910 0.017 1.879 1.900 1.910 1.921 1.944 1.018 600 log.w[392] 1.988 0.016 1.958 1.979 1.989 1.998 2.018 1.004 440 log.w[393] 1.985 0.015 1.955 1.976 1.985 1.995 2.016 1.004 580 log.w[394] 1.816 0.017 1.782 1.805 1.815 1.828 1.849 1.010 600 log.w[395] 1.566 0.022 1.519 1.552 1.567 1.579 1.610 1.006 310 log.w[396] 2.079 0.014 2.048 2.070 2.079 2.087 2.106 1.020 280 log.w[397] 1.139 0.035 1.067 1.117 1.141 1.164 1.206 1.013 190 log.w[398] 1.674 0.021 1.635 1.661 1.674 1.688 1.717 1.015 450 log.w[399] 1.712 0.021 1.672 1.697 1.712 1.727 1.752 1.005 600 log.w[400] 1.111 0.037 1.038 1.088 1.111 1.135 1.188 1.010 600 log.w[401] -1.088 0.425 -2.105 -1.273 -0.991 -0.809 -0.554 1.085 70 log.w[402] 0.568 0.067 0.416 0.531 0.570 0.617 0.679 1.008 600 log.w[403] 0.399 0.083 0.195 0.356 0.407 0.454 0.530 1.064 83 beta[1] 1.375 0.061 1.249 1.339 1.379 1.416 1.492 1.024 120 beta[2] 0.353 0.038 0.277 0.328 0.352 0.378 0.431 1.000 600 beta.f[1,1] -0.024 0.328 -0.609 -0.251 -0.024 0.189 0.614 1.005 600 beta.f[1,2] -0.044 0.098 -0.221 -0.114 -0.046 0.018 0.145 1.002 540 beta.f[1,3] 0.086 0.081 -0.074 0.033 0.082 0.137 0.244 1.014 180 beta.f[1,4] 0.109 0.080 -0.047 0.059 0.108 0.157 0.291 1.015 150 beta.f[1,5] 0.146 0.085 -0.011 0.094 0.144 0.196 0.331 1.008 600 tau[1] 181.116 84.047 90.145 124.825 151.550 216.475 421.454 1.366 11 tau[2] 11.397 1.170 9.211 10.640 11.325 12.132 13.860 1.039 55 tau[3] 76.688 37.542 30.050 51.517 68.755 91.352 169.762 1.005 320 random.plot[1] -0.107 0.085 -0.273 -0.161 -0.107 -0.048 0.057 1.000 600 random.plot[2] 0.059 0.086 -0.104 -0.001 0.057 0.116 0.230 1.001 600 random.plot[3] 0.035 0.080 -0.123 -0.018 0.036 0.083 0.196 1.001 600 random.plot[4] 0.097 0.114 -0.136 0.023 0.095 0.171 0.335 1.004 380 random.plot[5] -0.060 0.107 -0.282 -0.127 -0.050 0.006 0.135 1.002 600 random.plot[6] 0.012 0.081 -0.151 -0.042 0.012 0.063 0.180 0.999 600 random.plot[7] -0.070 0.088 -0.239 -0.132 -0.068 -0.002 0.087 1.009 240 random.plot[8] -0.065 0.122 -0.333 -0.135 -0.060 0.016 0.153 1.015 130 random.plot[9] -0.004 0.079 -0.151 -0.061 -0.007 0.052 0.153 1.001 600 random.plot[10] -0.019 0.104 -0.234 -0.089 -0.014 0.047 0.164 1.004 390 random.plot[11] -0.002 0.129 -0.278 -0.077 0.000 0.088 0.226 1.002 600 random.plot[12] -0.041 0.080 -0.204 -0.088 -0.041 0.007 0.119 1.002 600 random.plot[13] 0.007 0.087 -0.161 -0.056 0.008 0.065 0.186 1.014 160 random.plot[14] -0.220 0.085 -0.390 -0.276 -0.218 -0.164 -0.065 1.000 600 random.plot[15] -0.136 0.088 -0.311 -0.194 -0.130 -0.075 0.024 1.004 350 random.plot[16] 0.074 0.104 -0.119 0.004 0.076 0.132 0.290 1.012 160 random.plot[17] 0.071 0.106 -0.124 0.000 0.066 0.134 0.286 1.010 260 random.plot[18] 0.079 0.084 -0.096 0.023 0.081 0.134 0.245 1.002 600 random.plot[19] -0.029 0.075 -0.175 -0.081 -0.028 0.025 0.118 1.000 600 random.plot[20] -0.008 0.088 -0.173 -0.070 -0.004 0.055 0.169 1.002 600 random.plot[21] 0.004 0.121 -0.225 -0.072 0.001 0.082 0.247 1.005 600 random.plot[22] -0.166 0.127 -0.435 -0.246 -0.151 -0.073 0.038 1.011 220 random.plot[23] -0.013 0.110 -0.223 -0.081 -0.016 0.058 0.209 1.003 450 random.plot[24] -0.076 0.081 -0.228 -0.134 -0.078 -0.021 0.094 1.011 170 random.plot[25] 0.037 0.096 -0.162 -0.028 0.034 0.103 0.223 1.005 350 random.plot[26] -0.019 0.089 -0.183 -0.083 -0.027 0.039 0.167 1.004 470 random.plot[27] 0.009 0.072 -0.137 -0.039 0.008 0.054 0.140 1.001 600 random.plot[28] 0.056 0.096 -0.122 -0.004 0.049 0.116 0.257 1.012 200 random.plot[29] 0.118 0.088 -0.040 0.057 0.112 0.176 0.315 1.011 170 random.plot[30] -0.087 0.088 -0.273 -0.144 -0.084 -0.026 0.073 1.011 210 random.plot[31] -0.068 0.110 -0.290 -0.139 -0.072 0.013 0.142 1.008 600 random.plot[32] 0.043 0.083 -0.124 -0.015 0.037 0.097 0.221 1.000 600 random.plot[33] -0.089 0.102 -0.304 -0.153 -0.084 -0.017 0.108 1.001 600 random.plot[34] 0.003 0.129 -0.240 -0.082 -0.001 0.079 0.292 1.007 260 random.plot[35] 0.112 0.075 -0.025 0.061 0.110 0.159 0.266 1.002 600 random.plot[36] 0.022 0.118 -0.218 -0.047 0.025 0.096 0.251 1.001 600 random.plot[37] 0.021 0.088 -0.153 -0.035 0.021 0.076 0.206 1.019 120 random.plot[38] -0.012 0.119 -0.232 -0.092 -0.012 0.067 0.230 1.002 550 random.plot[39] -0.067 0.097 -0.250 -0.131 -0.068 -0.001 0.122 1.003 600 random.plot[40] 0.069 0.077 -0.078 0.016 0.070 0.117 0.227 1.005 380 random.plot[41] -0.029 0.090 -0.201 -0.092 -0.028 0.031 0.140 1.005 330 random.plot[42] 0.123 0.088 -0.040 0.062 0.119 0.179 0.292 1.006 330 random.plot[43] 0.029 0.098 -0.162 -0.033 0.027 0.092 0.220 1.011 600 random.plot[44] 0.074 0.105 -0.129 0.000 0.077 0.142 0.281 1.000 600 random.plot[45] 0.131 0.083 -0.019 0.076 0.129 0.184 0.297 1.003 600 random.plot[46] 0.051 0.088 -0.122 -0.010 0.047 0.112 0.213 1.000 600 random.plot[47] -0.004 0.130 -0.267 -0.084 -0.004 0.075 0.255 1.008 250 random.plot[48] 0.092 0.087 -0.066 0.026 0.088 0.149 0.268 1.004 550 random.plot[49] -0.017 0.094 -0.196 -0.080 -0.018 0.040 0.177 0.999 600 random.plot[50] 0.020 0.102 -0.186 -0.047 0.020 0.089 0.211 1.006 300 deviance -1839.253 324.903 -2606.050 -2044.000 -1758.000 -1608.500 -1366.850 1.366 11 For each parameter, n.eff is a crude measure of effective sample size, and Rhat is the potential scale reduction factor (at convergence, Rhat=1). DIC info (using the rule, pD = Dbar-Dhat) pD = 797.1 and DIC = -1042.2 DIC is an estimate of expected predictive error (lower deviance is better).