Inference for Bugs model at "/home/kubo/abiesdispersal/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.sp -2.373 0.247 -2.829 -2.536 -2.375 -2.198 -1.905 1.071 33 log.sd 3.213 0.105 2.975 3.147 3.213 3.276 3.416 1.058 230 logit.sv 0.782 0.204 0.393 0.641 0.775 0.930 1.174 1.009 310 tau.log.spMt 3.431 1.603 1.494 2.412 3.130 4.037 8.241 1.015 150 tau.log.spFl 0.412 0.107 0.232 0.335 0.404 0.474 0.647 1.026 77 tau.log.sdMt 1.447 0.336 0.920 1.198 1.414 1.641 2.223 1.019 100 tau.logit.svFl 1.048 0.445 0.434 0.727 0.980 1.275 2.097 1.059 40 log.spMt[1] 0.866 0.425 0.039 0.579 0.866 1.166 1.701 1.006 280 log.spMt[2] -0.031 0.519 -1.140 -0.312 -0.012 0.296 0.905 1.002 590 log.spMt[3] -0.201 0.501 -1.234 -0.543 -0.177 0.120 0.734 1.001 600 log.spMt[4] -0.446 0.516 -1.432 -0.783 -0.438 -0.100 0.653 1.011 160 log.spMt[5] -0.047 0.547 -1.219 -0.396 -0.032 0.290 1.024 1.008 600 log.spMt[6] -0.404 0.467 -1.269 -0.720 -0.422 -0.081 0.527 1.001 600 log.spMt[7] -0.421 0.495 -1.395 -0.745 -0.405 -0.106 0.550 1.002 540 log.spMt[8] -0.362 0.518 -1.363 -0.719 -0.358 0.003 0.644 1.000 600 log.spMt[9] 0.059 0.475 -0.773 -0.250 0.039 0.368 1.130 1.007 400 log.spMt[10] 0.221 0.390 -0.537 -0.058 0.218 0.508 0.998 0.999 600 log.spMt[11] -0.023 0.385 -0.798 -0.280 -0.026 0.237 0.729 1.007 240 log.spMt[12] 0.681 0.264 0.192 0.492 0.670 0.840 1.217 1.021 130 log.spMt[13] 0.646 0.251 0.144 0.474 0.653 0.811 1.142 1.026 84 log.spMt[14] 0.250 0.271 -0.254 0.069 0.237 0.427 0.813 1.026 75 log.spMt[15] -0.113 0.397 -0.919 -0.397 -0.121 0.128 0.695 1.010 350 log.spMt[16] -0.144 0.240 -0.597 -0.305 -0.150 0.008 0.336 1.019 99 log.spMt[17] 0.109 0.379 -0.599 -0.159 0.097 0.358 0.828 1.001 600 log.spMt[18] -0.018 0.494 -1.073 -0.328 0.006 0.289 0.956 1.015 150 log.spMt[19] -0.275 0.360 -0.933 -0.518 -0.297 -0.033 0.415 1.006 470 log.spMt[20] -0.005 0.529 -1.066 -0.336 -0.005 0.320 1.041 1.001 600 log.spMt[21] 0.063 0.366 -0.608 -0.203 0.038 0.285 0.796 1.017 370 log.spMt[22] -0.641 0.562 -1.751 -1.019 -0.673 -0.255 0.421 1.023 86 log.spMt[23] 0.217 0.413 -0.595 -0.056 0.197 0.481 1.048 1.011 170 log.spMt[24] 0.051 0.544 -0.993 -0.269 0.055 0.375 1.095 1.007 600 log.spMt[25] 0.456 0.543 -0.590 0.107 0.438 0.795 1.539 1.000 600 log.spMt[26] -0.172 0.419 -1.059 -0.429 -0.163 0.118 0.642 1.000 600 log.spMt[27] -0.355 0.452 -1.290 -0.655 -0.357 -0.020 0.482 1.002 600 log.spMt[28] -0.147 0.439 -1.126 -0.409 -0.130 0.139 0.702 1.001 600 log.spMt[29] 0.639 0.306 0.051 0.429 0.627 0.850 1.252 1.014 140 log.spMt[30] -0.287 0.503 -1.374 -0.607 -0.273 0.033 0.684 1.007 420 log.spMt[31] -0.006 0.510 -1.028 -0.337 -0.010 0.340 0.995 1.003 570 log.spMt[32] -0.291 0.496 -1.371 -0.598 -0.270 0.040 0.631 0.999 600 log.spMt[33] -0.386 0.484 -1.330 -0.682 -0.389 -0.050 0.528 1.001 600 log.spMt[34] 0.410 0.367 -0.291 0.180 0.412 0.634 1.141 1.004 570 log.spMt[35] 0.393 0.405 -0.368 0.126 0.393 0.649 1.209 1.007 340 log.spMt[36] -0.056 0.433 -0.920 -0.334 -0.056 0.241 0.764 1.009 340 log.spMt[37] -0.127 0.502 -1.160 -0.449 -0.127 0.191 0.815 1.020 110 log.spMt[38] -0.407 0.533 -1.431 -0.743 -0.408 -0.061 0.740 1.027 75 log.spMt[39] -0.295 0.517 -1.386 -0.625 -0.286 0.046 0.644 1.000 600 log.spMt[40] -0.038 0.480 -1.045 -0.349 -0.031 0.298 0.867 1.001 600 log.spMt[41] -0.352 0.421 -1.129 -0.629 -0.332 -0.072 0.410 1.003 410 log.spMt[42] 0.013 0.505 -1.064 -0.297 0.019 0.357 0.963 1.000 600 log.spMt[43] 0.207 0.518 -0.796 -0.120 0.199 0.518 1.233 1.003 540 log.spMt[44] -0.605 0.459 -1.606 -0.910 -0.567 -0.288 0.218 1.000 600 log.spMt[45] 0.004 0.412 -0.779 -0.268 -0.006 0.296 0.777 1.035 59 log.spMt[46] -0.164 0.500 -1.226 -0.490 -0.152 0.176 0.755 1.007 240 log.spMt[47] 0.046 0.533 -0.888 -0.352 0.042 0.380 1.188 1.003 440 log.spMt[48] 0.047 0.452 -0.779 -0.283 0.042 0.357 0.970 1.001 600 log.spMt[49] 0.418 0.413 -0.339 0.144 0.427 0.685 1.265 1.007 260 log.spMt[50] -0.168 0.397 -0.925 -0.438 -0.165 0.111 0.546 1.006 280 log.spMt[51] -0.027 0.515 -1.089 -0.352 -0.031 0.326 1.005 1.012 220 log.spMt[52] 0.043 0.536 -1.084 -0.302 0.077 0.403 1.007 1.000 600 log.spMt[53] -0.078 0.507 -1.068 -0.422 -0.079 0.257 0.915 1.004 450 log.spMt[54] 0.382 0.478 -0.518 0.069 0.404 0.705 1.297 1.012 570 log.spMt[55] -0.223 0.509 -1.230 -0.570 -0.196 0.133 0.669 1.001 600 log.spMt[56] -0.750 0.468 -1.697 -1.057 -0.704 -0.426 0.082 1.019 170 log.spMt[57] -0.469 0.503 -1.462 -0.759 -0.456 -0.116 0.424 0.999 600 log.spMt[58] 0.392 0.427 -0.381 0.083 0.394 0.714 1.197 1.000 600 log.spMt[59] -0.229 0.443 -1.152 -0.523 -0.201 0.067 0.578 1.008 260 log.spMt[60] -0.528 0.500 -1.566 -0.864 -0.517 -0.181 0.387 1.006 280 log.spMt[61] 0.729 0.381 0.020 0.464 0.726 0.988 1.470 1.005 310 log.spMt[62] 0.510 0.388 -0.221 0.246 0.518 0.768 1.271 1.015 160 log.spMt[63] -0.219 0.501 -1.332 -0.506 -0.228 0.112 0.798 1.001 600 log.spMt[64] -0.004 0.492 -0.941 -0.323 -0.016 0.320 0.998 1.005 330 log.spMt[65] 0.085 0.522 -0.921 -0.258 0.086 0.417 1.176 1.002 600 log.spMt[66] -0.141 0.492 -1.089 -0.461 -0.144 0.214 0.819 1.003 470 log.spMt[67] 0.002 0.511 -1.039 -0.349 0.014 0.379 0.951 1.000 600 log.spMt[68] 0.929 0.400 0.194 0.640 0.931 1.203 1.767 1.002 530 log.spMt[69] -0.098 0.461 -1.077 -0.370 -0.065 0.198 0.754 1.002 540 log.spMt[70] 0.134 0.492 -0.865 -0.175 0.172 0.436 1.081 1.003 600 log.spMt[71] 0.577 0.475 -0.307 0.248 0.576 0.876 1.509 1.002 600 log.spMt[72] -0.179 0.370 -0.904 -0.413 -0.180 0.058 0.535 1.001 600 log.spMt[73] -0.251 0.494 -1.181 -0.578 -0.230 0.094 0.681 1.002 540 log.spMt[74] -0.535 0.432 -1.385 -0.839 -0.516 -0.235 0.246 1.000 600 log.spMt[75] 0.267 0.355 -0.473 0.034 0.285 0.510 0.916 1.001 600 log.spMt[76] -0.291 0.427 -1.098 -0.593 -0.267 -0.010 0.563 1.006 600 log.spMt[77] 0.064 0.490 -0.927 -0.238 0.072 0.405 1.009 1.018 110 log.spMt[78] 0.034 0.487 -0.898 -0.286 0.040 0.337 0.989 1.004 600 log.spMt[79] 0.598 0.375 -0.093 0.336 0.595 0.843 1.339 1.008 260 log.spMt[80] -0.130 0.483 -1.083 -0.426 -0.118 0.178 0.828 1.002 520 log.spMt[81] 0.170 0.526 -0.871 -0.168 0.144 0.526 1.198 1.020 110 log.spMt[82] 0.065 0.418 -0.767 -0.200 0.071 0.333 0.898 1.000 600 log.sdMt[1] 0.434 0.224 0.026 0.282 0.429 0.560 0.920 1.007 600 log.sdMt[2] 1.291 0.399 0.591 0.990 1.260 1.571 2.149 1.009 410 log.sdMt[3] 0.931 0.540 0.117 0.525 0.844 1.314 2.129 1.014 150 log.sdMt[4] -0.231 0.883 -1.918 -0.799 -0.083 0.385 1.279 1.011 270 log.sdMt[5] -0.593 0.513 -1.308 -0.946 -0.708 -0.320 0.693 1.013 300 log.sdMt[6] 0.155 0.651 -0.796 -0.410 0.053 0.599 1.486 1.008 260 log.sdMt[7] 0.542 0.683 -0.264 0.036 0.314 0.950 2.128 0.999 600 log.sdMt[8] 0.459 0.675 -0.369 -0.033 0.227 0.811 2.037 1.005 600 log.sdMt[9] 0.070 0.345 -0.455 -0.160 0.021 0.247 0.888 1.004 540 log.sdMt[10] 0.268 0.264 -0.157 0.083 0.248 0.422 0.857 1.005 490 log.sdMt[11] -0.803 0.268 -1.302 -0.993 -0.825 -0.610 -0.243 1.003 410 log.sdMt[12] -0.174 0.194 -0.537 -0.309 -0.190 -0.050 0.251 1.009 600 log.sdMt[13] -0.017 0.193 -0.359 -0.143 -0.026 0.111 0.397 1.001 600 log.sdMt[14] 0.177 0.212 -0.186 0.027 0.167 0.318 0.612 1.042 61 log.sdMt[15] -0.152 0.369 -0.705 -0.436 -0.197 0.072 0.698 1.005 600 log.sdMt[16] -0.915 0.213 -1.269 -1.056 -0.928 -0.800 -0.448 1.028 89 log.sdMt[17] -1.038 0.185 -1.397 -1.162 -1.039 -0.925 -0.636 1.015 170 log.sdMt[18] -1.074 0.176 -1.398 -1.198 -1.079 -0.961 -0.715 1.009 380 log.sdMt[19] 0.255 0.262 -0.221 0.067 0.238 0.418 0.810 1.014 500 log.sdMt[20] -1.059 0.478 -2.047 -1.320 -1.047 -0.748 -0.184 1.004 520 log.sdMt[21] -1.064 0.255 -1.580 -1.234 -1.058 -0.869 -0.566 1.003 600 log.sdMt[22] 0.951 0.664 -0.315 0.471 0.993 1.463 2.070 1.028 90 log.sdMt[23] -0.539 0.281 -1.032 -0.752 -0.547 -0.362 0.036 1.000 600 log.sdMt[24] -0.588 0.529 -1.397 -0.958 -0.656 -0.350 0.678 1.007 430 log.sdMt[25] 1.771 0.297 1.258 1.568 1.739 1.971 2.417 1.007 600 log.sdMt[26] -1.037 0.312 -1.668 -1.237 -1.034 -0.824 -0.473 1.000 600 log.sdMt[27] -0.550 0.371 -1.253 -0.770 -0.552 -0.340 0.181 1.012 240 log.sdMt[28] -0.966 0.365 -1.669 -1.226 -0.947 -0.732 -0.255 1.003 600 log.sdMt[29] -0.630 0.143 -0.932 -0.725 -0.631 -0.531 -0.365 1.027 360 log.sdMt[30] -0.261 0.623 -1.182 -0.743 -0.350 0.066 1.168 1.000 600 log.sdMt[31] -0.538 0.630 -1.636 -0.974 -0.592 -0.131 0.817 1.002 600 log.sdMt[32] -1.426 0.673 -2.638 -1.909 -1.443 -0.967 -0.089 1.012 180 log.sdMt[33] -0.504 0.663 -1.973 -0.814 -0.482 -0.166 0.835 1.014 600 log.sdMt[34] -0.330 0.192 -0.675 -0.460 -0.350 -0.213 0.057 1.008 240 log.sdMt[35] -0.239 0.252 -0.659 -0.418 -0.263 -0.077 0.309 1.002 600 log.sdMt[36] 0.118 0.331 -0.543 -0.109 0.112 0.340 0.752 0.999 600 log.sdMt[37] -0.166 0.546 -0.999 -0.577 -0.223 0.175 1.077 1.000 600 log.sdMt[38] -0.193 1.013 -1.727 -1.327 0.118 0.571 1.440 1.022 89 log.sdMt[39] -0.087 0.696 -1.709 -0.509 -0.083 0.412 1.136 1.009 600 log.sdMt[40] 0.844 0.493 0.127 0.478 0.768 1.133 1.955 1.002 600 log.sdMt[41] -0.533 0.373 -1.224 -0.790 -0.532 -0.265 0.146 1.012 500 log.sdMt[42] -0.202 0.315 -0.691 -0.427 -0.245 -0.010 0.491 1.007 250 log.sdMt[43] -0.333 0.282 -0.804 -0.546 -0.363 -0.165 0.297 1.009 390 log.sdMt[44] -0.159 0.734 -1.105 -0.617 -0.352 0.036 1.888 1.036 160 log.sdMt[45] -0.897 0.304 -1.520 -1.107 -0.879 -0.680 -0.386 1.062 36 log.sdMt[46] 0.043 0.559 -0.711 -0.357 -0.083 0.295 1.408 1.001 600 log.sdMt[47] 0.691 0.477 -0.077 0.343 0.659 1.003 1.762 1.000 600 log.sdMt[48] -1.173 0.379 -1.871 -1.446 -1.163 -0.896 -0.483 1.008 220 log.sdMt[49] -0.293 0.195 -0.671 -0.429 -0.294 -0.161 0.086 1.010 180 log.sdMt[50] 0.900 0.367 0.320 0.645 0.870 1.120 1.764 1.010 180 log.sdMt[51] 1.047 0.439 0.357 0.711 0.987 1.327 1.980 1.002 600 log.sdMt[52] 0.260 0.438 -0.463 -0.054 0.212 0.575 1.217 1.003 540 log.sdMt[53] 0.191 0.510 -0.559 -0.163 0.107 0.470 1.478 1.005 600 log.sdMt[54] -0.372 0.235 -0.848 -0.530 -0.356 -0.215 0.067 1.006 480 log.sdMt[55] -0.561 0.498 -1.429 -0.951 -0.556 -0.228 0.312 1.010 600 log.sdMt[56] -0.192 0.673 -1.077 -0.628 -0.317 0.104 1.672 1.006 600 log.sdMt[57] 0.386 0.544 -0.511 0.038 0.318 0.658 1.767 1.000 600 log.sdMt[58] 1.126 0.296 0.603 0.903 1.089 1.342 1.706 1.006 280 log.sdMt[59] -0.344 0.594 -1.320 -0.809 -0.358 0.049 0.901 1.001 600 log.sdMt[60] 0.399 0.557 -0.504 0.039 0.369 0.702 1.681 1.007 270 log.sdMt[61] 0.047 0.244 -0.407 -0.103 0.037 0.200 0.542 1.008 600 log.sdMt[62] -0.410 0.277 -0.877 -0.605 -0.432 -0.251 0.181 1.005 320 log.sdMt[63] 0.384 0.496 -0.238 0.057 0.273 0.549 1.877 1.002 600 log.sdMt[64] 0.474 0.463 -0.238 0.170 0.396 0.695 1.645 1.005 600 log.sdMt[65] 1.410 0.396 0.760 1.132 1.379 1.628 2.315 1.002 600 log.sdMt[66] 0.780 0.442 0.012 0.467 0.732 1.055 1.712 1.016 180 log.sdMt[67] 0.011 0.501 -0.741 -0.332 -0.057 0.306 1.130 1.004 600 log.sdMt[68] 0.464 0.203 0.082 0.327 0.469 0.599 0.854 1.005 600 log.sdMt[69] 0.948 0.352 0.383 0.698 0.905 1.166 1.735 1.010 390 log.sdMt[70] -0.102 0.416 -0.751 -0.406 -0.182 0.184 0.785 1.000 600 log.sdMt[71] -0.174 0.338 -0.702 -0.433 -0.216 0.024 0.591 1.000 600 log.sdMt[72] -0.797 0.303 -1.287 -1.006 -0.834 -0.640 -0.079 1.003 600 log.sdMt[73] 0.163 0.607 -0.998 -0.244 0.165 0.556 1.385 0.999 600 log.sdMt[74] -0.148 0.543 -1.176 -0.544 -0.121 0.262 0.862 1.011 170 log.sdMt[75] 1.045 0.232 0.641 0.887 1.028 1.190 1.561 1.006 600 log.sdMt[76] -0.881 0.474 -1.654 -1.247 -0.912 -0.535 0.070 1.011 310 log.sdMt[77] 1.462 0.361 0.870 1.209 1.424 1.698 2.220 1.003 600 log.sdMt[78] 1.397 0.409 0.741 1.089 1.340 1.635 2.328 1.019 110 log.sdMt[79] -0.011 0.245 -0.455 -0.171 -0.040 0.132 0.477 1.009 200 log.sdMt[80] 0.027 0.601 -1.051 -0.419 -0.004 0.396 1.273 1.011 180 log.sdMt[81] 1.206 0.401 0.537 0.927 1.172 1.470 2.057 1.004 600 log.sdMt[82] -0.303 0.437 -1.031 -0.630 -0.333 -0.015 0.647 1.002 600 log.spFl[1] 3.372 0.314 2.736 3.167 3.373 3.594 3.971 1.079 30 log.spFl[2] 1.816 0.385 1.023 1.579 1.818 2.075 2.600 1.059 45 log.spFl[3] 2.857 0.414 2.066 2.576 2.862 3.142 3.664 1.048 45 log.spFl[4] 2.308 0.379 1.600 2.054 2.303 2.582 3.052 1.016 160 log.spFl[5] 1.538 0.630 0.260 1.137 1.530 1.987 2.768 1.016 120 log.spFl[6] -0.993 1.216 -3.475 -1.788 -0.909 -0.129 1.087 1.001 600 log.spFl[7] -0.128 0.933 -2.229 -0.697 -0.081 0.522 1.535 1.006 600 log.spFl[8] 1.306 0.675 -0.149 0.860 1.344 1.790 2.467 0.999 600 log.spFl[9] 2.416 0.652 1.038 2.015 2.435 2.849 3.616 1.006 360 log.spFl[10] -1.198 1.245 -3.957 -1.972 -1.183 -0.305 0.955 1.000 600 log.spFl[11] -0.668 1.233 -3.197 -1.496 -0.620 0.241 1.562 1.000 600 log.spFl[12] 1.535 1.230 -0.941 0.675 1.575 2.419 3.819 0.999 600 log.spFl[13] -0.346 1.355 -3.011 -1.252 -0.275 0.669 2.020 1.000 600 log.spFl[14] 1.245 0.580 0.043 0.859 1.262 1.615 2.312 1.003 500 log.spFl[15] -1.361 1.124 -3.784 -2.047 -1.263 -0.579 0.610 1.006 270 log.spFl[16] 1.814 0.560 0.725 1.433 1.830 2.190 2.847 1.012 150 log.spFl[17] -1.222 0.868 -3.136 -1.751 -1.168 -0.614 0.273 1.007 600 log.spFl[18] -1.492 1.123 -3.998 -2.181 -1.366 -0.698 0.422 1.000 600 log.spFl[19] 0.344 0.833 -1.346 -0.199 0.385 0.917 1.971 1.023 94 log.spFl[20] 1.725 0.630 0.424 1.323 1.744 2.178 2.837 1.000 600 log.spFl[21] -0.896 1.265 -3.652 -1.662 -0.866 0.013 1.251 1.011 200 log.spFl[22] -0.625 1.306 -3.605 -1.462 -0.573 0.310 1.643 1.010 190 log.spFl[23] 2.361 0.678 0.962 1.944 2.396 2.810 3.655 1.003 600 log.spFl[24] -0.823 1.309 -3.911 -1.582 -0.628 0.108 1.495 1.008 220 log.spFl[25] -0.758 1.348 -3.643 -1.585 -0.716 0.230 1.777 1.003 470 log.spFl[26] -1.318 1.180 -3.839 -2.013 -1.256 -0.519 0.791 1.011 170 log.spFl[27] 0.016 0.963 -2.044 -0.585 0.070 0.696 1.748 1.005 600 log.spFl[28] 1.285 0.596 0.090 0.916 1.276 1.718 2.387 1.021 100 log.spFl[29] 1.668 0.480 0.650 1.362 1.684 1.991 2.573 1.048 80 log.spFl[30] -1.151 1.266 -3.878 -1.962 -1.051 -0.287 1.081 1.003 460 log.spFl[31] -0.907 1.180 -3.423 -1.664 -0.849 -0.068 1.253 0.999 600 log.spFl[32] 0.854 0.546 -0.248 0.499 0.866 1.228 1.896 1.011 180 log.spFl[33] 0.853 1.114 -1.495 0.180 0.975 1.684 2.640 1.002 590 log.spFl[34] -0.599 1.368 -3.510 -1.441 -0.485 0.335 1.717 1.004 390 log.spFl[35] -0.225 1.525 -3.365 -1.220 -0.127 0.839 2.699 1.007 300 log.spFl[36] -0.589 1.277 -3.180 -1.373 -0.556 0.259 1.705 1.009 210 log.spFl[37] -0.732 1.336 -3.490 -1.601 -0.711 0.206 1.727 1.003 600 log.spFl[38] -0.556 1.376 -3.665 -1.391 -0.429 0.405 1.703 0.999 600 log.spFl[39] -0.470 1.385 -3.414 -1.320 -0.357 0.406 1.958 1.001 600 log.spFl[40] -0.698 1.346 -3.498 -1.504 -0.619 0.282 1.682 1.000 600 log.spFl[41] -2.188 1.029 -4.519 -2.769 -2.153 -1.468 -0.406 1.015 130 log.spFl[42] -1.193 1.152 -3.626 -1.924 -1.081 -0.427 0.866 1.009 220 log.spFl[43] -1.107 1.307 -3.752 -1.944 -0.973 -0.218 1.250 0.999 600 log.spFl[44] 0.987 0.803 -0.567 0.450 1.038 1.560 2.402 1.006 370 log.spFl[45] -0.594 1.266 -3.148 -1.450 -0.601 0.230 1.891 1.002 600 log.spFl[46] -0.554 1.387 -3.550 -1.472 -0.406 0.412 1.865 1.008 210 log.spFl[47] -0.236 0.882 -2.210 -0.773 -0.151 0.405 1.221 1.004 600 log.spFl[48] -0.994 1.218 -3.518 -1.861 -0.868 -0.099 1.074 0.999 600 log.spFl[49] -0.637 1.330 -3.347 -1.547 -0.553 0.320 1.750 1.008 220 log.spFl[50] -0.817 1.194 -3.200 -1.529 -0.708 0.002 1.323 1.002 600 log.spFl[51] -0.710 1.305 -3.418 -1.536 -0.634 0.198 1.627 1.007 380 log.spFl[52] -0.366 0.870 -2.278 -0.878 -0.272 0.218 1.138 1.000 600 log.spFl[53] -0.987 1.210 -3.609 -1.772 -0.850 -0.079 0.973 1.000 600 log.spFl[54] -0.648 1.246 -3.345 -1.367 -0.487 0.202 1.452 1.000 600 log.spFl[55] -0.642 1.350 -3.495 -1.525 -0.515 0.234 1.755 1.001 600 log.spFl[56] -0.712 1.342 -3.458 -1.600 -0.589 0.265 1.691 1.000 600 log.spFl[57] -0.538 1.276 -3.380 -1.377 -0.495 0.340 1.680 1.000 600 log.spFl[58] -0.580 1.354 -3.369 -1.475 -0.537 0.383 1.717 0.999 600 log.spFl[59] -0.949 1.295 -3.516 -1.779 -0.869 -0.012 1.272 1.006 300 log.spFl[60] -0.510 1.291 -3.109 -1.357 -0.430 0.361 1.832 1.003 600 log.spFl[61] -0.858 1.257 -3.287 -1.623 -0.824 0.039 1.415 1.002 530 log.spFl[62] 1.346 0.687 0.007 0.902 1.335 1.846 2.597 1.012 150 log.spFl[63] -0.703 1.237 -3.255 -1.480 -0.700 0.262 1.498 1.000 600 log.spFl[64] -0.370 1.378 -3.134 -1.317 -0.319 0.608 2.136 1.004 430 log.spFl[65] -1.002 1.234 -3.629 -1.784 -0.953 -0.100 1.239 1.000 600 log.spFl[66] -1.130 1.231 -3.569 -1.891 -1.024 -0.257 1.066 1.008 430 log.spFl[67] -0.809 1.219 -3.427 -1.519 -0.724 0.006 1.304 1.001 600 log.spFl[68] -1.067 1.239 -3.711 -1.840 -0.944 -0.199 1.039 1.002 600 log.spFl[69] -0.813 1.273 -3.387 -1.694 -0.664 0.126 1.177 1.004 370 log.spFl[70] 0.078 0.684 -1.287 -0.358 0.097 0.526 1.408 1.007 370 log.spFl[71] -0.298 0.872 -1.959 -0.868 -0.244 0.275 1.292 1.000 600 log.spFl[72] 0.839 0.648 -0.562 0.426 0.882 1.280 2.038 1.001 600 log.spFl[73] -1.057 1.168 -3.635 -1.802 -0.966 -0.219 0.987 1.006 480 log.spFl[74] -1.747 1.082 -4.216 -2.400 -1.620 -0.991 0.002 1.002 600 log.spFl[75] -1.907 1.045 -3.994 -2.596 -1.815 -1.173 -0.109 1.006 270 log.spFl[76] -1.296 1.157 -3.715 -2.058 -1.248 -0.450 0.664 1.006 370 log.spFl[77] 0.150 0.759 -1.584 -0.303 0.159 0.661 1.537 1.009 250 log.spFl[78] 2.376 0.748 0.785 1.920 2.422 2.915 3.686 1.024 96 log.spFl[79] 0.063 0.988 -2.229 -0.483 0.117 0.767 1.714 0.999 600 log.spFl[80] -0.229 1.404 -2.991 -1.243 -0.144 0.767 2.432 0.999 600 log.spFl[81] -1.307 1.210 -3.888 -2.058 -1.225 -0.405 0.724 1.002 520 log.spFl[82] 1.303 0.612 0.064 0.882 1.309 1.719 2.490 1.003 430 log.spFl[83] 0.840 0.764 -0.691 0.327 0.876 1.365 2.235 1.001 600 log.spFl[84] 1.876 0.502 0.912 1.558 1.901 2.192 2.848 1.001 600 log.spFl[85] -0.411 0.680 -1.775 -0.887 -0.393 0.083 0.847 1.018 100 log.spFl[86] 0.346 0.751 -1.248 -0.120 0.371 0.836 1.782 1.007 230 log.spFl[87] -1.308 1.168 -4.030 -1.974 -1.215 -0.483 0.655 0.999 600 log.spFl[88] 1.068 0.610 -0.170 0.657 1.131 1.478 2.248 1.031 65 log.spFl[89] 2.828 0.518 1.764 2.507 2.843 3.182 3.760 1.033 98 log.spFl[90] -0.954 1.238 -3.548 -1.749 -0.851 -0.063 1.133 1.010 260 log.spFl[91] 0.391 0.740 -1.182 -0.093 0.455 0.906 1.642 1.006 500 log.spFl[92] 2.139 0.384 1.386 1.890 2.130 2.404 2.836 1.024 91 log.spFl[93] -1.071 1.135 -3.575 -1.803 -1.014 -0.279 1.024 1.007 250 log.spFl[94] 1.801 0.408 1.008 1.536 1.804 2.049 2.613 1.038 74 log.spFl[95] -1.442 1.074 -3.809 -2.151 -1.378 -0.688 0.455 1.004 600 log.spFl[96] -1.191 1.198 -3.793 -1.873 -1.072 -0.353 0.752 1.003 600 log.spFl[97] 0.028 0.750 -1.488 -0.459 0.101 0.535 1.326 1.009 230 log.spFl[98] -0.286 0.714 -1.831 -0.714 -0.266 0.205 1.071 1.009 190 log.spFl[99] -0.102 0.757 -1.726 -0.553 -0.050 0.403 1.296 1.004 350 log.spFl[100] -0.102 0.926 -2.035 -0.637 -0.069 0.566 1.451 1.002 520 log.spFl[101] 1.451 0.720 -0.173 0.973 1.522 1.934 2.717 1.008 250 log.spFl[102] -0.137 0.695 -1.606 -0.546 -0.106 0.353 1.051 1.005 300 log.spFl[103] 1.941 0.478 1.035 1.630 1.958 2.256 2.874 1.028 110 log.spFl[104] -1.435 1.109 -3.924 -2.104 -1.332 -0.635 0.351 1.004 450 log.spFl[105] -0.063 0.961 -2.084 -0.679 0.022 0.641 1.569 1.000 600 log.spFl[106] 0.891 0.558 -0.362 0.531 0.934 1.276 1.874 0.999 600 log.spFl[107] -1.013 1.205 -3.440 -1.671 -0.928 -0.162 1.052 1.006 290 log.spFl[108] 1.182 0.563 0.049 0.831 1.212 1.583 2.224 1.003 460 log.spFl[109] 1.778 0.444 0.842 1.498 1.791 2.070 2.661 1.008 200 log.spFl[110] 1.351 0.886 -0.509 0.769 1.455 1.956 2.910 1.005 600 log.spFl[111] 0.854 1.040 -1.612 0.220 0.943 1.538 2.608 1.006 370 log.spFl[112] -0.226 1.427 -3.250 -1.082 -0.145 0.806 2.165 1.006 600 logit.svFl[1] 0.745 0.265 0.249 0.546 0.749 0.918 1.250 1.006 260 logit.svFl[2] -1.539 0.424 -2.376 -1.801 -1.511 -1.252 -0.733 1.004 600 logit.svFl[3] -1.445 0.369 -2.188 -1.689 -1.426 -1.196 -0.801 1.002 540 logit.svFl[4] 0.201 0.307 -0.386 -0.025 0.205 0.420 0.752 1.005 600 logit.svFl[5] 0.077 0.583 -0.988 -0.344 0.053 0.444 1.281 1.003 600 logit.svFl[6] -0.034 1.131 -2.188 -0.725 -0.019 0.762 2.027 1.009 490 logit.svFl[7] 0.485 0.895 -1.156 -0.115 0.494 1.109 2.275 1.007 230 logit.svFl[8] 0.386 0.735 -0.998 -0.089 0.402 0.805 1.955 1.003 430 logit.svFl[9] -1.126 0.809 -2.929 -1.565 -1.101 -0.575 0.235 1.096 28 logit.svFl[10] 0.067 1.007 -1.845 -0.598 0.066 0.649 2.233 1.000 600 logit.svFl[11] 0.029 1.016 -1.969 -0.631 0.025 0.697 2.019 1.003 600 logit.svFl[12] 0.550 0.926 -1.213 -0.035 0.495 1.154 2.443 1.001 600 logit.svFl[13] 0.030 1.013 -1.866 -0.663 0.051 0.688 1.954 1.003 520 logit.svFl[14] 0.776 0.719 -0.534 0.297 0.733 1.279 2.160 0.999 600 logit.svFl[15] 0.027 1.097 -2.143 -0.697 0.060 0.683 2.199 1.006 360 logit.svFl[16] -0.237 0.591 -1.396 -0.578 -0.230 0.145 0.877 1.013 210 logit.svFl[17] -0.468 0.953 -2.627 -1.062 -0.456 0.131 1.390 1.017 170 logit.svFl[18] 0.113 1.064 -2.100 -0.482 0.146 0.818 2.086 1.002 600 logit.svFl[19] -0.240 0.689 -1.776 -0.666 -0.243 0.206 1.090 1.000 600 logit.svFl[20] -0.396 0.702 -1.740 -0.889 -0.401 0.082 0.972 1.001 600 logit.svFl[21] 0.047 1.083 -2.126 -0.649 0.068 0.705 2.145 1.005 600 logit.svFl[22] -0.052 1.095 -2.069 -0.778 -0.045 0.664 2.015 1.004 340 logit.svFl[23] -0.427 0.739 -1.944 -0.877 -0.415 0.053 1.045 1.003 600 logit.svFl[24] 0.025 0.993 -2.059 -0.602 0.056 0.657 1.836 1.005 600 logit.svFl[25] -0.039 1.080 -2.280 -0.747 -0.015 0.648 2.040 1.001 600 logit.svFl[26] 0.057 1.169 -2.080 -0.752 0.054 0.808 2.492 1.014 600 logit.svFl[27] -0.475 0.891 -2.336 -1.037 -0.438 0.118 1.233 1.013 370 logit.svFl[28] 0.124 0.620 -1.090 -0.322 0.116 0.538 1.398 1.003 430 logit.svFl[29] 0.789 0.530 -0.200 0.412 0.793 1.116 1.850 1.003 410 logit.svFl[30] 0.052 1.044 -2.021 -0.632 0.061 0.718 2.061 1.001 600 logit.svFl[31] -0.031 1.026 -1.956 -0.684 -0.040 0.680 2.015 0.999 600 logit.svFl[32] 0.322 0.685 -0.920 -0.127 0.282 0.691 1.678 1.008 600 logit.svFl[33] -0.467 0.930 -2.271 -1.030 -0.435 0.114 1.253 1.005 590 logit.svFl[34] -0.011 1.065 -2.089 -0.676 -0.012 0.644 2.336 1.010 600 logit.svFl[35] -0.011 0.994 -1.892 -0.671 -0.027 0.553 2.132 1.012 270 logit.svFl[36] 0.034 1.023 -1.999 -0.629 0.036 0.669 2.153 1.002 600 logit.svFl[37] 0.025 1.099 -2.080 -0.719 -0.016 0.728 2.019 1.008 600 logit.svFl[38] -0.069 1.018 -2.113 -0.754 -0.041 0.600 1.990 1.008 220 logit.svFl[39] -0.011 1.066 -2.050 -0.723 -0.049 0.679 2.078 1.004 600 logit.svFl[40] -0.015 1.015 -2.184 -0.650 -0.036 0.615 1.922 1.007 600 logit.svFl[41] 0.022 1.018 -2.091 -0.586 -0.020 0.622 2.117 0.999 600 logit.svFl[42] -0.104 1.035 -2.367 -0.824 -0.037 0.547 1.918 1.009 300 logit.svFl[43] 0.012 1.015 -2.191 -0.643 0.082 0.712 1.977 1.000 600 logit.svFl[44] -0.835 0.845 -2.703 -1.376 -0.812 -0.235 0.759 1.002 590 logit.svFl[45] -0.085 1.091 -2.163 -0.800 -0.096 0.666 1.997 1.003 600 logit.svFl[46] -0.008 1.058 -2.198 -0.633 -0.028 0.708 2.032 1.002 600 logit.svFl[47] 0.489 0.911 -1.127 -0.090 0.424 1.010 2.457 1.027 110 logit.svFl[48] -0.074 1.115 -2.248 -0.733 -0.077 0.630 2.136 1.010 600 logit.svFl[49] 0.028 1.046 -2.175 -0.667 -0.020 0.712 1.965 1.005 320 logit.svFl[50] 0.042 1.103 -2.098 -0.596 0.088 0.693 2.171 1.000 600 logit.svFl[51] 0.001 1.044 -2.139 -0.674 -0.050 0.709 2.211 1.000 600 logit.svFl[52] 0.498 0.932 -1.254 -0.120 0.442 1.078 2.596 1.011 600 logit.svFl[53] 0.000 1.106 -2.143 -0.662 0.006 0.677 2.223 1.021 440 logit.svFl[54] -0.026 1.031 -2.160 -0.700 0.007 0.643 1.892 1.003 600 logit.svFl[55] -0.012 1.012 -2.054 -0.681 0.014 0.628 2.107 1.008 360 logit.svFl[56] -0.020 1.097 -2.069 -0.706 -0.057 0.667 2.171 1.002 600 logit.svFl[57] 0.040 1.043 -2.063 -0.632 0.061 0.743 2.188 1.013 150 logit.svFl[58] 0.005 0.993 -1.848 -0.657 0.002 0.632 1.972 1.005 290 logit.svFl[59] -0.010 1.071 -2.164 -0.617 0.010 0.644 1.889 1.001 600 logit.svFl[60] 0.049 1.029 -1.962 -0.595 0.022 0.673 2.326 1.005 600 logit.svFl[61] 0.002 1.043 -1.922 -0.700 -0.007 0.714 2.089 1.010 420 logit.svFl[62] -0.198 0.746 -1.618 -0.690 -0.250 0.316 1.251 1.008 600 logit.svFl[63] -0.078 1.035 -2.165 -0.734 -0.091 0.554 1.933 1.009 280 logit.svFl[64] -0.001 1.072 -2.142 -0.688 0.039 0.716 2.168 1.001 600 logit.svFl[65] 0.077 1.084 -1.852 -0.611 0.017 0.812 2.245 1.006 370 logit.svFl[66] -0.037 1.048 -2.178 -0.665 -0.022 0.669 1.910 1.005 500 logit.svFl[67] -0.094 1.066 -2.099 -0.781 -0.114 0.585 2.133 1.006 600 logit.svFl[68] 0.180 1.055 -1.839 -0.561 0.209 0.834 2.292 1.014 130 logit.svFl[69] 0.016 1.008 -1.983 -0.695 0.060 0.685 1.972 1.007 540 logit.svFl[70] 0.420 0.742 -0.975 -0.063 0.359 0.908 1.923 1.010 600 logit.svFl[71] -0.453 0.898 -2.234 -1.012 -0.450 0.129 1.266 1.024 100 logit.svFl[72] -0.249 0.735 -1.598 -0.758 -0.283 0.218 1.235 1.011 600 logit.svFl[73] 0.020 1.055 -1.979 -0.661 -0.026 0.694 2.156 1.009 600 logit.svFl[74] 0.032 1.071 -2.178 -0.657 0.049 0.760 2.233 1.005 380 logit.svFl[75] -0.070 1.107 -2.042 -0.789 -0.075 0.600 2.212 1.006 270 logit.svFl[76] -0.049 1.090 -2.005 -0.774 -0.041 0.621 2.135 1.005 580 logit.svFl[77] 0.083 0.745 -1.379 -0.384 0.083 0.546 1.507 1.008 600 logit.svFl[78] 0.457 0.755 -0.911 -0.059 0.414 1.000 2.043 1.008 270 logit.svFl[79] 0.503 0.893 -1.040 -0.083 0.461 1.048 2.307 1.001 600 logit.svFl[80] -0.084 1.027 -2.101 -0.727 -0.146 0.589 2.134 1.000 600 logit.svFl[81] -0.010 1.020 -2.096 -0.648 -0.002 0.621 1.992 1.010 600 logit.svFl[82] 1.200 0.817 -0.287 0.644 1.167 1.723 2.818 1.024 83 logit.svFl[83] 0.120 0.814 -1.360 -0.423 0.093 0.616 1.930 1.018 120 logit.svFl[84] 0.799 0.535 -0.190 0.455 0.750 1.134 1.918 1.007 440 logit.svFl[85] -0.227 0.727 -1.512 -0.714 -0.289 0.220 1.347 1.004 390 logit.svFl[86] 0.853 0.890 -0.723 0.242 0.793 1.392 2.816 1.016 120 logit.svFl[87] 0.065 1.050 -2.044 -0.615 0.058 0.692 2.400 1.005 460 logit.svFl[88] -1.200 0.849 -2.978 -1.749 -1.159 -0.590 0.242 1.017 110 logit.svFl[89] 0.913 0.586 -0.172 0.491 0.895 1.305 2.127 1.006 270 logit.svFl[90] 0.011 1.049 -1.980 -0.688 0.004 0.696 2.098 1.006 310 logit.svFl[91] -0.763 0.922 -2.703 -1.272 -0.722 -0.162 0.830 1.014 410 logit.svFl[92] 0.704 0.483 -0.208 0.402 0.713 1.028 1.581 1.021 120 logit.svFl[93] 0.012 1.125 -2.106 -0.727 -0.040 0.792 2.252 1.002 600 logit.svFl[94] -0.893 0.537 -1.987 -1.240 -0.879 -0.516 0.070 1.012 190 logit.svFl[95] -0.067 1.115 -2.298 -0.752 -0.074 0.604 2.156 1.012 600 logit.svFl[96] -0.005 1.060 -2.289 -0.722 0.055 0.658 1.999 1.007 600 logit.svFl[97] 0.088 0.785 -1.357 -0.421 0.076 0.579 1.767 1.003 600 logit.svFl[98] 0.850 0.915 -0.840 0.262 0.831 1.317 2.898 1.003 410 logit.svFl[99] 0.810 0.873 -0.985 0.241 0.751 1.371 2.636 1.012 150 logit.svFl[100] -0.477 0.921 -2.365 -1.037 -0.419 0.127 1.215 0.999 600 logit.svFl[101] 0.413 0.731 -0.907 -0.109 0.383 0.852 2.028 1.018 180 logit.svFl[102] -0.849 0.887 -2.826 -1.375 -0.762 -0.245 0.683 1.001 600 logit.svFl[103] 0.802 0.618 -0.355 0.426 0.776 1.222 2.093 1.000 600 logit.svFl[104] 0.029 0.991 -1.999 -0.577 0.033 0.620 2.071 1.006 550 logit.svFl[105] 0.561 0.877 -0.996 -0.007 0.493 1.080 2.366 1.009 200 logit.svFl[106] -1.390 0.748 -3.161 -1.792 -1.328 -0.937 -0.072 1.025 110 logit.svFl[107] 0.033 0.998 -2.113 -0.627 0.033 0.661 1.985 1.005 600 logit.svFl[108] -1.257 0.765 -3.001 -1.747 -1.240 -0.716 0.167 1.022 120 logit.svFl[109] 0.077 0.553 -1.029 -0.283 0.087 0.428 1.199 1.002 600 logit.svFl[110] 0.871 0.895 -0.728 0.287 0.808 1.403 2.969 1.004 370 logit.svFl[111] 0.562 0.920 -1.183 -0.024 0.528 1.108 2.367 1.004 600 logit.svFl[112] -0.004 1.042 -2.128 -0.704 0.047 0.673 2.005 1.014 600 deviance 1377.712 23.554 1333.000 1362.000 1377.000 1393.000 1425.000 1.016 120 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 = 164.8 and DIC = 1542.5 DIC is an estimate of expected predictive error (lower deviance is better).