Inference for Bugs model at "/home/kubo/takadamayura/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.shieldbug[1] -3.855 2.916 -10.602 -5.232 -3.347 -1.857 0.058 1.030 81 log.shieldbug[2] 0.319 0.820 -1.608 -0.089 0.440 0.884 1.566 0.999 600 log.shieldbug[3] -4.964 3.422 -13.184 -6.830 -4.290 -2.474 -0.200 1.025 84 log.shieldbug[4] -3.934 3.006 -11.482 -5.423 -3.319 -1.835 0.155 1.028 120 log.shieldbug[5] 1.982 0.368 1.195 1.759 2.008 2.246 2.604 1.000 600 log.shieldbug[6] -3.675 2.976 -11.383 -4.935 -2.967 -1.668 0.273 1.022 120 log.shieldbug[7] 2.406 0.304 1.754 2.196 2.422 2.620 2.945 0.999 600 log.shieldbug[8] 2.183 0.335 1.504 1.977 2.202 2.397 2.804 1.007 600 log.shieldbug[9] -3.828 3.048 -12.434 -5.284 -3.192 -1.753 0.012 1.026 180 log.shieldbug[10] -10.135 7.243 -27.307 -13.110 -8.643 -5.256 -1.173 1.042 99 log.shieldbug[11] -4.235 3.092 -11.994 -5.665 -3.570 -2.111 0.035 1.010 410 log.shieldbug[12] -3.855 3.100 -11.725 -5.555 -3.054 -1.681 -0.095 1.041 73 log.shieldbug[13] 2.710 0.261 2.174 2.528 2.726 2.880 3.226 0.999 600 log.shieldbug[14] 1.199 0.534 -0.007 0.871 1.260 1.589 2.082 1.001 600 log.shieldbug[15] 3.511 0.173 3.158 3.404 3.521 3.626 3.827 1.001 600 log.shieldbug[16] 1.106 0.574 -0.188 0.795 1.137 1.488 2.067 1.001 600 log.shieldbug[17] 3.761 0.151 3.443 3.661 3.769 3.866 4.028 0.999 600 log.shieldbug[18] 1.372 0.513 0.175 1.092 1.402 1.728 2.196 1.002 600 log.shieldbug[19] -3.975 3.292 -12.047 -5.509 -3.183 -1.788 0.052 1.030 95 log.shieldbug[20] -5.668 4.087 -15.185 -7.531 -4.827 -2.835 -0.308 1.030 75 log.shieldbug[21] -3.685 3.106 -12.071 -4.732 -2.997 -1.628 0.286 1.012 160 log.shieldbug[22] -6.774 4.928 -19.030 -9.145 -5.680 -3.372 -0.511 1.035 95 log.shieldbug[23] -8.734 6.082 -24.317 -11.533 -7.427 -4.494 -1.023 1.039 89 log.shieldbug[24] -4.971 3.406 -13.111 -6.721 -4.162 -2.568 -0.596 1.016 160 log.shieldbug[25] -6.798 5.017 -19.738 -9.285 -5.839 -3.332 -0.536 1.054 63 log.shieldbug[26] -3.338 2.886 -10.704 -4.536 -2.768 -1.369 0.343 1.033 92 log.shieldbug[27] 2.340 0.315 1.708 2.130 2.364 2.560 2.868 1.004 600 log.shieldbug[28] -6.007 4.358 -18.294 -7.895 -4.979 -2.953 -0.264 1.031 85 log.shieldbug[29] -3.628 2.807 -10.325 -4.923 -3.085 -1.663 0.170 1.005 330 log.shieldbug[30] -6.748 5.072 -19.853 -8.953 -5.489 -3.323 -0.606 1.033 130 log.shieldbug[31] -3.223 3.159 -11.101 -4.206 -2.518 -1.301 0.443 1.092 55 log.spider[1] 1.049 0.494 0.068 0.749 1.076 1.380 1.932 1.002 510 log.spider[2] 2.016 0.311 1.375 1.818 2.022 2.232 2.628 1.009 180 log.spider[3] 2.249 0.279 1.702 2.062 2.247 2.443 2.789 1.003 470 log.spider[4] 1.995 0.343 1.295 1.760 2.004 2.240 2.603 0.999 600 log.spider[5] 1.614 0.342 0.923 1.388 1.637 1.838 2.243 0.999 600 log.spider[6] 1.773 0.387 0.888 1.536 1.793 2.057 2.445 0.999 600 log.spider[7] 1.282 0.429 0.325 1.011 1.309 1.580 2.068 1.010 180 log.spider[8] 2.339 0.281 1.785 2.166 2.347 2.536 2.840 0.999 600 log.spider[9] 1.967 0.331 1.276 1.758 1.977 2.212 2.537 1.001 600 log.spider[10] 3.555 0.157 3.261 3.446 3.552 3.655 3.861 0.999 600 log.spider[11] 1.723 0.358 0.947 1.476 1.757 1.976 2.324 1.008 360 log.spider[12] 1.873 0.354 1.101 1.664 1.891 2.107 2.506 1.018 600 log.spider[13] 2.063 0.286 1.465 1.876 2.079 2.266 2.575 1.001 600 log.spider[14] 1.734 0.352 0.994 1.523 1.776 1.963 2.373 1.011 400 log.spider[15] 1.306 0.431 0.377 1.029 1.334 1.612 2.057 1.000 600 log.spider[16] 2.057 0.313 1.337 1.853 2.074 2.258 2.659 1.001 600 log.spider[17] 2.614 0.243 2.127 2.438 2.640 2.781 3.038 1.001 600 log.spider[18] 1.969 0.370 1.176 1.741 1.970 2.240 2.627 1.001 600 log.spider[19] 1.540 0.387 0.661 1.286 1.568 1.814 2.225 1.004 600 log.spider[20] 3.010 0.215 2.560 2.882 3.011 3.157 3.428 1.001 600 log.spider[21] 1.827 0.358 1.065 1.606 1.842 2.084 2.491 1.009 600 log.spider[22] 3.078 0.211 2.646 2.918 3.078 3.239 3.466 1.001 600 log.spider[23] 3.344 0.184 2.982 3.215 3.349 3.472 3.683 1.013 140 log.spider[24] 2.236 0.312 1.546 2.050 2.244 2.452 2.805 1.001 600 log.spider[25] 2.930 0.231 2.460 2.778 2.939 3.080 3.373 1.015 190 log.spider[26] 1.528 0.402 0.672 1.289 1.548 1.811 2.212 1.001 600 log.spider[27] 1.836 0.339 1.156 1.609 1.829 2.075 2.461 1.002 600 log.spider[28] 2.724 0.228 2.293 2.565 2.735 2.887 3.119 1.005 310 log.spider[29] 1.392 0.472 0.425 1.142 1.414 1.718 2.170 1.003 420 log.spider[30] 3.079 0.214 2.648 2.929 3.094 3.226 3.461 1.006 600 log.spider[31] 1.391 0.442 0.433 1.112 1.411 1.711 2.152 1.006 600 log.weed[1] -2.985 2.577 -8.720 -4.344 -2.556 -1.104 0.476 1.004 600 log.weed[2] -3.058 2.552 -9.178 -4.336 -2.514 -1.262 0.320 1.015 250 log.weed[3] -2.955 2.374 -9.003 -4.211 -2.518 -1.224 0.306 1.031 84 log.weed[4] -2.941 2.452 -9.113 -4.233 -2.495 -1.141 0.633 1.001 600 log.weed[5] 4.089 0.130 3.839 4.012 4.085 4.176 4.334 1.001 600 log.weed[6] -3.010 2.492 -9.052 -4.361 -2.510 -1.160 0.358 1.002 600 log.weed[7] 3.025 0.223 2.567 2.866 3.026 3.186 3.441 1.000 600 log.weed[8] 3.054 0.235 2.598 2.893 3.069 3.207 3.505 1.017 600 log.weed[9] 1.839 0.391 1.043 1.582 1.874 2.131 2.543 1.022 260 log.weed[10] 3.272 0.200 2.878 3.145 3.279 3.407 3.646 1.009 600 log.weed[11] -3.188 2.571 -10.070 -4.466 -2.638 -1.322 0.413 1.034 170 log.weed[12] 1.710 0.427 0.766 1.442 1.746 2.022 2.443 1.007 600 log.weed[13] 4.250 0.124 4.004 4.161 4.260 4.329 4.482 1.000 600 log.weed[14] 4.133 0.129 3.893 4.052 4.139 4.212 4.393 1.006 310 log.weed[15] 5.427 0.063 5.304 5.386 5.429 5.473 5.538 1.006 600 log.weed[16] 2.233 0.318 1.600 2.029 2.235 2.449 2.809 1.013 600 log.weed[17] 5.750 0.058 5.639 5.708 5.751 5.789 5.853 0.999 600 log.weed[18] 5.920 0.051 5.819 5.888 5.917 5.953 6.023 1.002 600 log.weed[19] -2.805 2.444 -8.984 -4.105 -2.371 -1.051 0.761 1.022 170 log.weed[20] 3.916 0.147 3.622 3.819 3.911 4.015 4.183 1.000 600 log.weed[21] -3.278 2.567 -8.500 -4.569 -2.781 -1.405 0.185 1.020 210 log.weed[22] -3.067 2.583 -9.050 -4.320 -2.588 -1.135 0.421 1.008 510 log.weed[23] -2.994 2.468 -8.866 -4.117 -2.689 -1.284 0.548 1.010 200 log.weed[24] -3.138 2.691 -9.905 -4.439 -2.669 -1.288 0.482 1.004 600 log.weed[25] -3.326 2.755 -10.219 -4.705 -2.766 -1.327 0.411 1.008 600 log.weed[26] 2.520 0.282 1.985 2.304 2.538 2.729 3.030 1.004 600 log.weed[27] 4.679 0.097 4.486 4.616 4.684 4.739 4.865 1.002 540 log.weed[28] 1.722 0.422 0.823 1.447 1.754 1.995 2.463 1.005 600 log.weed[29] -2.997 2.457 -8.394 -4.432 -2.503 -1.200 0.563 1.005 340 log.weed[30] -3.058 2.302 -7.660 -4.455 -2.624 -1.330 0.291 1.004 380 log.weed[31] 2.905 0.234 2.402 2.750 2.925 3.069 3.371 1.000 600 mu.log.weed 0.591 0.914 -1.393 0.097 0.682 1.191 2.089 1.010 260 beta[1] -0.607 1.884 -4.742 -1.645 -0.455 0.466 2.750 1.008 600 beta[2] -0.269 0.212 -0.760 -0.369 -0.226 -0.122 0.013 1.041 100 beta[3] 0.021 0.009 0.007 0.014 0.019 0.025 0.044 1.019 130 beta[4] 2.134 0.196 1.715 2.012 2.150 2.257 2.508 1.008 210 beta[5] 0.000 0.002 -0.004 -0.001 0.000 0.001 0.003 1.007 380 gamma[1,1] 0.135 0.922 -1.440 -0.278 0.032 0.451 2.298 1.004 360 gamma[1,2] 0.211 0.918 -1.352 -0.189 0.082 0.461 2.306 1.004 460 gamma[1,3] 0.014 0.825 -1.882 -0.332 0.017 0.319 2.022 1.013 600 gamma[1,4] 0.255 1.072 -1.158 -0.184 0.079 0.432 3.178 1.005 600 gamma[1,5] -0.311 1.181 -3.254 -0.597 -0.094 0.179 1.630 1.005 600 gamma[1,6] -0.681 1.318 -4.231 -1.007 -0.216 0.023 0.804 1.008 600 gamma[1,7] 0.472 0.981 -0.860 -0.088 0.179 0.749 2.950 1.011 170 gamma[1,8] 0.143 0.903 -1.485 -0.230 0.035 0.423 2.526 1.020 130 gamma[2,1] 0.046 0.265 -0.502 -0.091 0.034 0.166 0.666 0.999 600 gamma[2,2] 0.223 0.289 -0.218 0.025 0.181 0.394 0.906 1.009 180 gamma[2,3] -0.029 0.266 -0.660 -0.166 -0.020 0.119 0.474 1.000 600 gamma[2,4] 0.098 0.261 -0.357 -0.063 0.061 0.228 0.723 1.012 190 gamma[2,5] 0.189 0.292 -0.284 -0.011 0.136 0.359 0.870 1.008 210 gamma[2,6] -0.093 0.247 -0.632 -0.224 -0.076 0.052 0.322 1.004 420 gamma[2,7] -0.200 0.267 -0.805 -0.360 -0.172 -0.017 0.270 1.000 600 gamma[2,8] -0.232 0.335 -1.023 -0.401 -0.167 -0.015 0.320 1.011 260 tau.gamma[1] 15.237 36.496 0.079 0.760 2.961 13.140 110.581 0.999 600 tau.gamma[2] 29.909 46.636 1.572 5.706 12.315 31.582 187.002 1.004 350 tau[1] 0.146 0.100 0.025 0.071 0.124 0.199 0.399 1.057 42 tau[2] 2.276 0.938 1.040 1.629 2.091 2.713 4.485 1.000 600 tau[3] 0.074 0.029 0.030 0.052 0.069 0.089 0.144 1.006 270 deviance 331.654 12.341 309.600 322.400 331.650 339.700 358.435 1.004 360 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 = 63.3 and DIC = 394.9 DIC is an estimate of expected predictive error (lower deviance is better).