Inference for Bugs model at "/home/kubo/shioderaAB/winbugs/model.bug.txt", fit using winbugs, 3 chains, each with 15000 iterations (first 5000 discarded), n.thin = 50 n.sims = 600 iterations saved mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff betaB[1] 3.590 0.121 3.362 3.506 3.586 3.674 3.826 1.062 38 betaB[2] 0.845 0.259 0.303 0.673 0.881 1.016 1.279 1.159 40 betaB[3] 0.082 0.113 -0.140 0.005 0.080 0.153 0.316 1.013 150 betaS[1,1] 0.091 0.165 -0.245 -0.018 0.100 0.206 0.404 1.060 38 betaS[1,2] 0.054 0.375 -0.710 -0.197 0.042 0.300 0.760 1.015 250 betaS[1,3] -0.042 0.237 -0.531 -0.187 -0.030 0.105 0.475 1.023 550 betaS[2,1] -0.556 0.193 -0.945 -0.681 -0.555 -0.422 -0.196 1.033 69 betaS[2,2] 0.855 0.312 0.289 0.654 0.829 1.044 1.606 1.092 26 betaS[2,3] -0.085 0.222 -0.537 -0.225 -0.070 0.069 0.312 1.035 66 betaS[3,1] 0.050 0.171 -0.288 -0.059 0.048 0.155 0.410 1.029 73 betaS[3,2] 0.304 0.359 -0.376 0.074 0.285 0.512 1.081 1.051 49 betaS[3,3] 0.007 0.236 -0.463 -0.148 0.003 0.150 0.497 1.017 330 betaS[4,1] 0.177 0.168 -0.166 0.066 0.180 0.302 0.498 1.016 130 betaS[4,2] 0.215 0.367 -0.478 -0.037 0.205 0.419 1.036 1.015 150 betaS[4,3] -0.343 0.275 -0.952 -0.501 -0.323 -0.159 0.153 1.001 600 betaS[5,1] 0.052 0.173 -0.286 -0.070 0.053 0.182 0.375 1.032 70 betaS[5,2] -0.031 0.366 -0.733 -0.281 -0.042 0.215 0.692 1.016 130 betaS[5,3] 0.214 0.235 -0.231 0.052 0.226 0.369 0.665 1.001 600 betaS[6,1] 0.339 0.154 0.054 0.218 0.348 0.448 0.634 1.030 69 betaS[6,2] -0.263 0.313 -0.814 -0.487 -0.283 -0.047 0.377 1.035 85 betaS[6,3] 0.085 0.232 -0.390 -0.055 0.096 0.249 0.502 1.001 600 betaS[7,1] 0.405 0.160 0.108 0.298 0.409 0.512 0.710 1.032 64 betaS[7,2] -1.442 0.453 -2.391 -1.745 -1.437 -1.127 -0.570 1.026 80 betaS[7,3] 0.398 0.233 -0.061 0.242 0.398 0.562 0.823 1.015 140 betaS[8,1] -0.779 0.198 -1.166 -0.898 -0.775 -0.649 -0.413 1.033 64 betaS[8,2] 1.096 0.326 0.478 0.865 1.087 1.308 1.756 1.125 22 betaS[8,3] -0.372 0.266 -0.900 -0.546 -0.354 -0.186 0.118 1.015 260 betaS[9,1] 0.866 0.164 0.563 0.755 0.875 0.982 1.186 1.022 89 betaS[9,2] -1.052 0.389 -1.783 -1.319 -1.064 -0.794 -0.292 1.012 170 betaS[9,3] 0.070 0.241 -0.438 -0.083 0.083 0.233 0.488 1.006 290 betaS[10,1] 1.145 0.153 0.842 1.044 1.153 1.250 1.438 1.019 130 betaS[10,2] -2.886 0.690 -4.633 -3.253 -2.812 -2.410 -1.763 1.008 600 betaS[10,3] 0.626 0.309 0.005 0.437 0.627 0.812 1.246 1.002 600 betaS[11,1] -0.013 0.155 -0.331 -0.114 -0.014 0.091 0.286 1.020 110 betaS[11,2] 0.643 0.321 0.050 0.422 0.623 0.857 1.320 1.037 78 betaS[11,3] -0.281 0.217 -0.734 -0.414 -0.273 -0.133 0.139 1.007 480 betaS[12,1] 0.487 0.155 0.178 0.380 0.488 0.596 0.775 1.047 46 betaS[12,2] -0.968 0.377 -1.692 -1.232 -0.977 -0.696 -0.253 1.051 44 betaS[12,3] 0.264 0.232 -0.195 0.102 0.275 0.422 0.685 1.015 130 betaS[13,1] -0.040 0.160 -0.345 -0.149 -0.040 0.072 0.249 1.019 110 betaS[13,2] -0.790 0.361 -1.488 -1.039 -0.806 -0.528 -0.086 1.019 110 betaS[13,3] 0.280 0.190 -0.098 0.156 0.277 0.407 0.643 1.002 600 betaS[14,1] 0.289 0.161 -0.034 0.176 0.296 0.407 0.568 1.028 100 betaS[14,2] -0.354 0.350 -1.021 -0.600 -0.362 -0.127 0.335 1.057 39 betaS[14,3] 0.191 0.231 -0.287 0.041 0.190 0.340 0.645 1.022 93 betaS[15,1] -0.622 0.195 -1.022 -0.742 -0.624 -0.492 -0.234 1.024 110 betaS[15,2] 1.460 0.324 0.872 1.231 1.450 1.675 2.116 1.036 73 betaS[15,3] -0.452 0.248 -0.981 -0.629 -0.441 -0.280 -0.030 1.007 330 betaS[16,1] 0.542 0.158 0.222 0.438 0.540 0.646 0.849 1.039 92 betaS[16,2] -1.270 0.385 -1.999 -1.527 -1.252 -1.020 -0.526 1.027 120 betaS[16,3] 0.199 0.248 -0.352 0.043 0.222 0.365 0.672 1.009 200 betaS[17,1] -0.053 0.174 -0.365 -0.181 -0.052 0.061 0.278 1.030 72 betaS[17,2] -0.790 0.422 -1.640 -1.077 -0.787 -0.498 0.003 1.014 130 betaS[17,3] 0.401 0.274 -0.161 0.204 0.411 0.587 0.910 1.005 310 betaS[18,1] -0.630 0.186 -0.999 -0.746 -0.631 -0.503 -0.299 1.009 250 betaS[18,2] 0.636 0.370 -0.062 0.377 0.608 0.858 1.392 1.074 32 betaS[18,3] 0.048 0.221 -0.392 -0.096 0.058 0.204 0.456 1.013 180 betaS[19,1] -0.078 0.161 -0.392 -0.197 -0.075 0.036 0.227 1.039 54 betaS[19,2] 0.554 0.330 -0.073 0.330 0.527 0.761 1.277 1.045 54 betaS[19,3] -0.206 0.212 -0.669 -0.332 -0.195 -0.067 0.161 1.012 150 betaT[1,1] -0.007 0.235 -0.472 -0.153 -0.003 0.150 0.432 1.004 380 betaT[1,2] 0.259 0.232 -0.222 0.103 0.262 0.413 0.696 1.031 66 betaT[2,1] 0.029 0.280 -0.493 -0.154 0.024 0.203 0.582 1.001 600 betaT[2,2] 0.205 0.466 -0.702 -0.106 0.193 0.513 1.068 1.004 410 betaT[3,1] 0.229 0.188 -0.150 0.115 0.239 0.350 0.566 1.007 240 betaT[3,2] 0.006 0.282 -0.563 -0.183 0.001 0.203 0.558 1.006 600 betaT[4,1] 0.129 0.217 -0.324 -0.004 0.142 0.287 0.504 1.007 250 betaT[4,2] -0.704 0.378 -1.397 -0.971 -0.705 -0.462 0.007 1.009 600 betaT[5,1] 0.365 0.141 0.063 0.277 0.372 0.455 0.638 1.002 600 betaT[5,2] -0.585 0.370 -1.332 -0.852 -0.571 -0.322 0.087 1.000 600 betaT[6,1] -0.041 0.215 -0.496 -0.175 -0.026 0.111 0.334 1.012 150 betaT[6,2] -0.861 0.530 -2.071 -1.195 -0.836 -0.504 0.153 1.003 590 betaT[7,1] 0.154 0.230 -0.314 0.017 0.158 0.307 0.571 1.006 330 betaT[7,2] -0.449 0.595 -1.646 -0.841 -0.454 -0.037 0.679 1.004 420 betaT[8,1] 0.337 0.245 -0.166 0.167 0.354 0.514 0.766 1.006 320 betaT[8,2] 0.247 0.390 -0.550 -0.016 0.268 0.500 0.952 1.004 600 betaT[9,1] 0.151 0.160 -0.174 0.053 0.149 0.251 0.458 1.002 600 betaT[9,2] -0.150 0.411 -1.009 -0.419 -0.121 0.138 0.559 1.002 600 betaT[10,1] 0.491 0.163 0.135 0.387 0.500 0.602 0.790 1.000 600 betaT[10,2] -0.702 0.552 -1.808 -1.055 -0.680 -0.330 0.339 1.004 600 betaT[11,1] 0.281 0.185 -0.075 0.165 0.286 0.405 0.627 1.022 89 betaT[11,2] -0.181 0.256 -0.643 -0.354 -0.181 0.000 0.304 1.003 420 betaT[12,1] -0.236 0.219 -0.697 -0.364 -0.225 -0.098 0.160 0.999 600 betaT[12,2] 0.274 0.239 -0.207 0.122 0.279 0.438 0.716 1.005 460 betaT[13,1] -0.138 0.166 -0.461 -0.251 -0.131 -0.029 0.184 1.004 470 betaT[13,2] 0.774 0.369 0.067 0.526 0.769 1.021 1.517 1.008 220 betaT[14,1] -0.054 0.202 -0.457 -0.184 -0.040 0.087 0.307 1.010 180 betaT[14,2] -0.044 0.264 -0.598 -0.209 -0.039 0.119 0.473 1.015 120 betaT[15,1] -0.086 0.271 -0.630 -0.260 -0.070 0.095 0.412 1.007 240 betaT[15,2] -0.473 0.274 -1.037 -0.653 -0.479 -0.284 0.043 1.033 68 betaT[16,1] -0.015 0.269 -0.565 -0.186 -0.011 0.162 0.504 1.002 600 betaT[16,2] 0.108 0.255 -0.395 -0.070 0.113 0.279 0.579 1.022 98 betaT[17,1] 0.099 0.197 -0.289 -0.027 0.096 0.224 0.478 1.012 150 betaT[17,2] 1.025 0.305 0.463 0.810 1.016 1.225 1.692 0.999 600 betaT[18,1] 0.015 0.170 -0.342 -0.094 0.022 0.137 0.308 1.004 600 betaT[18,2] 0.695 0.276 0.152 0.509 0.696 0.872 1.217 1.003 600 betaT[19,1] -0.089 0.251 -0.594 -0.259 -0.097 0.095 0.405 1.007 360 betaT[19,2] -0.027 0.308 -0.656 -0.223 -0.018 0.185 0.558 1.033 69 betaT[20,1] 0.125 0.168 -0.230 0.020 0.131 0.241 0.438 1.001 600 betaT[20,2] -0.523 0.344 -1.257 -0.731 -0.501 -0.299 0.101 1.002 600 betaT[21,1] 0.346 0.144 0.054 0.265 0.344 0.443 0.618 1.010 250 betaT[21,2] 1.895 0.398 1.088 1.621 1.902 2.149 2.645 1.016 150 betaT[22,1] 0.438 0.139 0.179 0.341 0.434 0.535 0.691 1.032 200 betaT[22,2] 0.039 0.418 -0.746 -0.235 0.045 0.329 0.815 0.999 600 betaT[23,1] -0.174 0.213 -0.594 -0.307 -0.174 -0.035 0.249 1.000 600 betaT[23,2] -0.268 0.270 -0.796 -0.456 -0.254 -0.093 0.287 1.002 600 betaT[24,1] 0.042 0.260 -0.478 -0.126 0.054 0.211 0.530 1.000 600 betaT[24,2] 0.360 0.272 -0.177 0.184 0.363 0.540 0.915 1.031 78 betaT[25,1] 0.044 0.269 -0.509 -0.130 0.056 0.234 0.523 1.006 600 betaT[25,2] -0.098 0.291 -0.694 -0.286 -0.090 0.092 0.468 1.028 80 betaT[26,1] 0.470 0.161 0.145 0.374 0.471 0.579 0.774 1.003 600 betaT[26,2] -0.181 0.435 -1.052 -0.486 -0.173 0.147 0.629 1.019 120 betaT[27,1] 0.239 0.136 -0.010 0.142 0.235 0.333 0.496 1.004 400 betaT[27,2] 0.960 0.250 0.473 0.808 0.966 1.120 1.466 1.002 600 betaT[28,1] -0.128 0.238 -0.609 -0.286 -0.109 0.037 0.300 1.007 290 betaT[28,2] -0.736 0.562 -1.917 -1.101 -0.710 -0.352 0.272 1.000 600 betaT[29,1] -0.082 0.249 -0.603 -0.235 -0.076 0.070 0.392 1.003 480 betaT[29,2] 0.102 0.279 -0.443 -0.093 0.121 0.303 0.579 1.040 57 betaT[30,1] -0.113 0.212 -0.535 -0.246 -0.096 0.035 0.272 1.004 370 betaT[30,2] 0.282 0.367 -0.504 0.055 0.285 0.495 1.020 1.000 600 betaT[31,1] -0.340 0.232 -0.847 -0.485 -0.320 -0.177 0.076 0.999 600 betaT[31,2] -1.077 0.510 -2.069 -1.424 -1.062 -0.705 -0.200 1.004 510 betaT[32,1] 0.321 0.151 0.043 0.222 0.317 0.415 0.636 1.007 310 betaT[32,2] -0.193 0.336 -0.843 -0.419 -0.181 0.053 0.408 1.000 600 betaT[33,1] -0.103 0.166 -0.438 -0.211 -0.098 0.006 0.216 1.004 600 betaT[33,2] 1.662 0.287 1.116 1.461 1.665 1.856 2.234 1.007 310 betaT[34,1] -0.095 0.221 -0.546 -0.243 -0.092 0.059 0.323 1.004 600 betaT[34,2] -0.481 0.379 -1.282 -0.736 -0.479 -0.228 0.239 1.005 510 betaT[35,1] 0.134 0.202 -0.273 0.007 0.133 0.262 0.508 1.000 600 betaT[35,2] -0.616 0.311 -1.251 -0.826 -0.611 -0.391 -0.044 1.003 500 betaT[36,1] -0.054 0.197 -0.443 -0.181 -0.047 0.081 0.307 1.006 290 betaT[36,2] -0.925 0.333 -1.589 -1.149 -0.933 -0.675 -0.340 1.000 600 betaT[37,1] 0.060 0.188 -0.301 -0.065 0.064 0.187 0.400 1.003 600 betaT[37,2] -0.126 0.281 -0.666 -0.312 -0.122 0.049 0.443 1.001 600 betaT[38,1] -0.013 0.268 -0.527 -0.213 0.006 0.169 0.498 1.000 600 betaT[38,2] -0.414 0.287 -1.035 -0.602 -0.380 -0.209 0.111 1.061 38 betaT[39,1] -0.379 0.168 -0.715 -0.487 -0.373 -0.275 -0.070 1.002 600 betaT[39,2] 1.550 0.292 0.979 1.366 1.541 1.732 2.145 1.003 410 betaT[40,1] 0.235 0.228 -0.241 0.083 0.240 0.370 0.658 1.001 600 betaT[40,2] -0.142 0.256 -0.620 -0.326 -0.131 0.034 0.352 1.009 280 betaT[41,1] 0.035 0.174 -0.292 -0.074 0.031 0.154 0.362 1.003 460 betaT[41,2] 0.893 0.396 0.031 0.672 0.914 1.148 1.602 1.022 600 betaT[42,1] -0.038 0.243 -0.509 -0.204 -0.034 0.133 0.444 1.002 560 betaT[42,2] 0.010 0.259 -0.505 -0.163 0.019 0.196 0.502 1.033 74 betaT[43,1] 0.066 0.206 -0.341 -0.074 0.079 0.205 0.450 0.999 600 betaT[43,2] 0.244 0.292 -0.298 0.046 0.248 0.446 0.818 1.002 600 betaT[44,1] -0.209 0.204 -0.604 -0.349 -0.195 -0.074 0.149 1.000 600 betaT[44,2] -0.822 0.556 -1.932 -1.166 -0.787 -0.416 0.237 1.000 600 betaT[45,1] 0.594 0.144 0.317 0.509 0.595 0.696 0.867 1.014 600 betaT[45,2] -0.659 0.456 -1.614 -0.939 -0.652 -0.347 0.173 1.005 420 betaT[46,1] -0.046 0.196 -0.440 -0.181 -0.042 0.088 0.318 1.000 600 betaT[46,2] -0.742 0.569 -2.024 -1.120 -0.706 -0.353 0.289 1.005 520 betaT[47,1] 0.041 0.281 -0.484 -0.154 0.042 0.223 0.569 1.006 310 betaT[47,2] -0.348 0.263 -0.921 -0.525 -0.338 -0.167 0.122 1.045 55 betaT[48,1] -0.017 0.257 -0.554 -0.177 -0.003 0.156 0.445 1.018 120 betaT[48,2] 0.310 0.249 -0.168 0.151 0.297 0.474 0.784 1.030 85 betaT[49,1] -0.009 0.242 -0.495 -0.159 0.000 0.155 0.432 1.000 600 betaT[49,2] 0.382 0.220 -0.025 0.232 0.377 0.539 0.837 1.024 85 betaT[50,1] -0.002 0.248 -0.514 -0.163 0.006 0.167 0.438 1.002 600 betaT[50,2] -0.408 0.271 -0.932 -0.611 -0.386 -0.215 0.080 1.041 55 betaT[51,1] 0.161 0.267 -0.407 -0.011 0.175 0.356 0.646 1.002 570 betaT[51,2] 0.009 0.250 -0.498 -0.160 0.018 0.184 0.478 1.001 600 betaT[52,1] 0.137 0.177 -0.207 0.023 0.141 0.254 0.475 0.999 600 betaT[52,2] -0.480 0.583 -1.595 -0.851 -0.465 -0.039 0.536 0.999 600 betaT[53,1] 0.145 0.257 -0.377 -0.008 0.162 0.322 0.604 1.002 600 betaT[53,2] 0.788 0.297 0.220 0.581 0.785 0.974 1.377 1.021 110 betaT[54,1] -0.044 0.282 -0.620 -0.224 -0.038 0.146 0.489 1.011 200 betaT[54,2] -0.637 0.611 -1.850 -1.051 -0.605 -0.207 0.480 1.000 600 betaT[55,1] -0.017 0.217 -0.464 -0.149 -0.006 0.132 0.389 1.000 600 betaT[55,2] -0.778 0.576 -1.954 -1.152 -0.760 -0.389 0.335 1.000 600 betaT[56,1] -0.265 0.220 -0.743 -0.400 -0.253 -0.124 0.149 1.010 190 betaT[56,2] 0.475 0.425 -0.402 0.188 0.478 0.761 1.262 1.004 390 betaT[57,1] -0.322 0.194 -0.742 -0.445 -0.306 -0.179 0.012 1.002 600 betaT[57,2] 0.430 0.349 -0.215 0.182 0.423 0.664 1.154 1.000 600 betaT[58,1] -0.140 0.245 -0.663 -0.287 -0.116 0.030 0.292 1.004 550 betaT[58,2] 0.348 0.548 -0.737 -0.013 0.328 0.694 1.437 1.005 600 betaT[59,1] 0.228 0.236 -0.273 0.075 0.237 0.387 0.654 1.000 600 betaT[59,2] -0.951 0.536 -2.014 -1.288 -0.926 -0.590 -0.004 1.005 330 betaT[60,1] 0.005 0.229 -0.456 -0.151 0.014 0.166 0.435 1.002 580 betaT[60,2] -0.739 0.558 -1.907 -1.079 -0.743 -0.357 0.279 0.999 600 betaT[61,1] 0.185 0.183 -0.214 0.061 0.187 0.315 0.512 1.004 600 betaT[61,2] 0.433 0.270 -0.085 0.239 0.426 0.626 0.967 1.009 190 betaT[62,1] 0.513 0.163 0.201 0.400 0.512 0.621 0.834 1.014 560 betaT[62,2] -0.454 0.336 -1.105 -0.662 -0.437 -0.240 0.187 1.005 600 betaT[63,1] -0.170 0.278 -0.717 -0.350 -0.162 0.021 0.399 1.000 600 betaT[63,2] 0.196 0.234 -0.261 0.031 0.195 0.352 0.675 1.002 600 betaT[64,1] 0.190 0.176 -0.162 0.072 0.193 0.308 0.514 1.000 600 betaT[64,2] 0.223 0.294 -0.360 0.019 0.227 0.432 0.771 1.000 600 betaT[65,1] -0.046 0.250 -0.569 -0.208 -0.042 0.125 0.410 1.004 370 betaT[65,2] -0.622 0.280 -1.188 -0.798 -0.625 -0.428 -0.049 1.008 270 betaT[66,1] -0.098 0.218 -0.557 -0.234 -0.103 0.054 0.315 1.018 100 betaT[66,2] -0.244 0.265 -0.778 -0.402 -0.250 -0.066 0.282 1.016 120 betaT[67,1] -0.113 0.269 -0.662 -0.309 -0.108 0.066 0.407 1.004 420 betaT[67,2] 0.195 0.279 -0.373 0.015 0.198 0.378 0.724 1.021 110 betaT[68,1] -0.007 0.176 -0.355 -0.127 0.001 0.120 0.318 1.004 600 betaT[68,2] -0.462 0.594 -1.729 -0.859 -0.422 -0.053 0.577 1.004 580 betaT[69,1] -0.329 0.223 -0.813 -0.458 -0.332 -0.177 0.082 1.002 600 betaT[69,2] -0.312 0.628 -1.643 -0.727 -0.319 0.114 0.857 1.000 600 betaT[70,1] -0.063 0.263 -0.594 -0.240 -0.063 0.112 0.432 1.008 520 betaT[70,2] 0.347 0.247 -0.120 0.185 0.340 0.521 0.811 1.028 86 betaT[71,1] -0.036 0.215 -0.445 -0.180 -0.032 0.118 0.398 1.002 600 betaT[71,2] 0.172 0.289 -0.441 0.000 0.171 0.354 0.769 1.013 240 betaT[72,1] -0.113 0.245 -0.686 -0.261 -0.108 0.061 0.323 0.999 600 betaT[72,2] 0.387 0.448 -0.617 0.120 0.403 0.688 1.239 1.010 210 betaT[73,1] -0.046 0.236 -0.526 -0.190 -0.036 0.112 0.394 1.006 260 betaT[73,2] 0.748 0.351 0.145 0.501 0.748 1.010 1.437 1.002 600 betaT[74,1] -0.015 0.238 -0.537 -0.164 -0.005 0.145 0.413 1.007 330 betaT[74,2] -0.529 0.611 -1.732 -0.907 -0.511 -0.132 0.635 1.004 380 betaT[75,1] -0.096 0.247 -0.625 -0.258 -0.091 0.083 0.338 1.009 190 betaT[75,2] -0.246 0.662 -1.549 -0.711 -0.254 0.217 1.073 1.003 600 betaT[76,1] -0.289 0.240 -0.836 -0.440 -0.265 -0.124 0.115 0.999 600 betaT[76,2] -0.068 0.678 -1.458 -0.516 -0.063 0.408 1.186 1.000 600 betaT[77,1] -0.107 0.248 -0.597 -0.274 -0.111 0.070 0.355 1.002 600 betaT[77,2] -0.106 0.658 -1.416 -0.544 -0.110 0.342 1.260 1.002 600 betaT[78,1] -0.101 0.267 -0.648 -0.264 -0.102 0.082 0.420 1.001 600 betaT[78,2] -0.099 0.673 -1.428 -0.558 -0.100 0.331 1.160 1.002 590 betaT[79,1] 0.198 0.236 -0.281 0.051 0.199 0.356 0.643 0.999 600 betaT[79,2] -0.473 0.595 -1.687 -0.918 -0.463 -0.059 0.629 1.000 600 betaT[80,1] 0.013 0.242 -0.480 -0.148 0.020 0.186 0.457 1.011 280 betaT[80,2] -0.314 0.634 -1.581 -0.733 -0.296 0.109 0.901 1.000 600 betaT[81,1] 0.128 0.215 -0.312 -0.003 0.138 0.276 0.538 1.004 600 betaT[81,2] 0.200 0.426 -0.682 -0.103 0.220 0.497 1.037 1.003 410 betaT[82,1] -0.016 0.188 -0.431 -0.134 -0.006 0.103 0.328 1.010 180 betaT[82,2] 0.456 0.283 -0.074 0.255 0.456 0.650 0.998 0.999 600 betaT[83,1] -0.006 0.264 -0.562 -0.173 0.010 0.173 0.476 1.004 480 betaT[83,2] 0.081 0.299 -0.582 -0.122 0.101 0.275 0.638 1.036 63 betaT[84,1] 0.016 0.261 -0.467 -0.176 0.018 0.204 0.495 0.999 600 betaT[84,2] 0.736 0.290 0.142 0.536 0.737 0.931 1.300 1.003 420 betaT[85,1] -0.043 0.220 -0.480 -0.178 -0.038 0.120 0.361 1.000 600 betaT[85,2] -0.059 0.363 -0.758 -0.285 -0.058 0.178 0.647 1.003 600 betaT[86,1] 0.185 0.223 -0.279 0.040 0.189 0.333 0.604 1.002 600 betaT[86,2] -0.234 0.456 -1.193 -0.494 -0.198 0.056 0.596 1.002 510 betaT[87,1] -0.180 0.230 -0.650 -0.306 -0.162 -0.035 0.224 1.000 600 betaT[87,2] 1.035 0.403 0.252 0.759 1.035 1.296 1.865 1.001 600 betaT[88,1] -0.009 0.173 -0.353 -0.120 -0.010 0.099 0.325 1.014 140 betaT[88,2] 0.960 0.341 0.311 0.724 0.979 1.175 1.596 1.002 550 betaT[89,1] -0.234 0.224 -0.649 -0.381 -0.232 -0.082 0.155 1.001 600 betaT[89,2] -0.286 0.414 -1.062 -0.556 -0.284 0.009 0.442 1.004 600 betaT[90,1] -0.059 0.259 -0.577 -0.233 -0.042 0.120 0.412 1.006 330 betaT[90,2] -0.202 0.320 -0.882 -0.408 -0.191 0.003 0.413 1.024 93 betaT[91,1] -0.498 0.175 -0.835 -0.619 -0.496 -0.372 -0.193 1.003 600 betaT[91,2] -0.035 0.717 -1.424 -0.502 -0.046 0.401 1.407 1.004 430 betaT[92,1] -0.611 0.171 -0.970 -0.727 -0.601 -0.497 -0.283 1.003 430 betaT[92,2] -0.002 0.710 -1.419 -0.483 -0.017 0.488 1.328 1.000 600 betaT[93,1] -0.463 0.184 -0.839 -0.581 -0.452 -0.343 -0.109 1.013 140 betaT[93,2] -0.024 0.669 -1.309 -0.468 -0.003 0.435 1.312 1.005 600 betaT[94,1] 0.431 0.122 0.170 0.356 0.436 0.516 0.658 1.005 380 betaT[94,2] -0.362 0.598 -1.514 -0.736 -0.350 0.020 0.842 1.001 600 betaT[95,1] 0.049 0.137 -0.202 -0.046 0.049 0.147 0.317 1.015 160 betaT[95,2] -0.076 0.703 -1.456 -0.554 -0.080 0.364 1.243 1.003 450 betaT[96,1] -0.319 0.167 -0.687 -0.423 -0.313 -0.204 -0.010 1.002 520 betaT[96,2] 0.018 0.719 -1.574 -0.451 0.005 0.468 1.534 1.002 600 betaT[97,1] 0.634 0.166 0.295 0.533 0.634 0.739 0.954 0.999 600 betaT[97,2] 0.593 0.308 -0.016 0.404 0.584 0.788 1.209 1.001 600 betaT[98,1] -0.053 0.229 -0.533 -0.201 -0.051 0.112 0.364 1.015 160 betaT[98,2] 0.497 0.282 -0.096 0.328 0.495 0.668 1.076 1.005 600 betaT[99,1] 0.035 0.119 -0.197 -0.050 0.039 0.115 0.280 1.005 300 betaT[99,2] 0.203 0.585 -0.996 -0.187 0.194 0.597 1.382 1.006 410 betaT[100,1] -0.109 0.230 -0.597 -0.266 -0.094 0.042 0.316 1.003 520 betaT[100,2] 0.072 0.324 -0.571 -0.130 0.080 0.257 0.747 1.007 600 betaT[101,1] 0.237 0.127 0.005 0.147 0.238 0.327 0.490 0.999 600 betaT[101,2] -0.403 0.619 -1.700 -0.828 -0.408 0.047 0.746 0.999 600 betaT[102,1] -0.278 0.222 -0.729 -0.422 -0.272 -0.126 0.144 1.000 600 betaT[102,2] 0.490 0.310 -0.207 0.316 0.494 0.672 1.095 1.017 130 betaT[103,1] -0.157 0.254 -0.659 -0.339 -0.159 0.034 0.308 1.000 600 betaT[103,2] 0.361 0.255 -0.112 0.189 0.372 0.538 0.826 0.999 600 betaT[104,1] -0.139 0.217 -0.591 -0.283 -0.130 0.014 0.245 1.005 350 betaT[104,2] 0.256 0.354 -0.488 0.027 0.258 0.483 0.987 1.015 130 betaT[105,1] 0.167 0.165 -0.154 0.059 0.167 0.286 0.465 1.010 180 betaT[105,2] -0.265 0.416 -1.092 -0.535 -0.254 0.012 0.526 1.000 600 betaT[106,1] 0.390 0.144 0.079 0.303 0.389 0.486 0.651 1.007 440 betaT[106,2] 0.175 0.343 -0.525 -0.041 0.171 0.400 0.833 1.006 600 betaT[107,1] 0.182 0.169 -0.158 0.075 0.185 0.292 0.507 1.000 600 betaT[107,2] 0.287 0.463 -0.576 -0.040 0.281 0.572 1.188 1.005 330 betaT[108,1] -0.099 0.255 -0.596 -0.256 -0.101 0.059 0.393 1.007 350 betaT[108,2] -0.081 0.272 -0.642 -0.262 -0.071 0.103 0.428 1.040 59 betaT[109,1] 0.168 0.239 -0.307 0.000 0.181 0.335 0.590 1.002 600 betaT[109,2] -0.578 0.570 -1.742 -0.948 -0.532 -0.184 0.480 1.001 600 betaT[110,1] 0.413 0.127 0.156 0.326 0.416 0.504 0.645 1.016 130 betaT[110,2] -0.512 0.596 -1.742 -0.888 -0.500 -0.094 0.596 1.003 510 betaT[111,1] -0.310 0.224 -0.777 -0.448 -0.295 -0.157 0.090 0.999 600 betaT[111,2] 0.003 0.719 -1.418 -0.469 -0.001 0.512 1.387 1.000 600 betaT[112,1] -0.156 0.204 -0.579 -0.286 -0.148 -0.017 0.228 1.004 450 betaT[112,2] -0.117 0.677 -1.462 -0.578 -0.086 0.336 1.194 1.001 600 betaT[113,1] -0.139 0.220 -0.605 -0.276 -0.129 0.009 0.245 1.002 510 betaT[113,2] -0.737 0.591 -1.923 -1.132 -0.714 -0.326 0.352 1.001 600 betaT[114,1] 0.110 0.178 -0.286 0.003 0.120 0.226 0.429 1.006 600 betaT[114,2] 0.277 0.332 -0.328 0.053 0.267 0.508 0.926 1.006 330 betaT[115,1] -0.096 0.183 -0.456 -0.211 -0.092 0.035 0.263 1.004 350 betaT[115,2] -0.143 0.480 -1.005 -0.486 -0.137 0.201 0.712 1.006 280 betaT[116,1] -0.013 0.216 -0.449 -0.137 -0.010 0.125 0.380 1.007 540 betaT[116,2] -0.102 0.257 -0.609 -0.277 -0.106 0.069 0.409 1.005 360 betaT[117,1] -0.059 0.228 -0.515 -0.224 -0.041 0.106 0.331 1.004 600 betaT[117,2] -0.377 0.416 -1.204 -0.658 -0.360 -0.111 0.430 1.002 570 betaT[118,1] 0.019 0.212 -0.434 -0.116 0.029 0.169 0.387 1.002 540 betaT[118,2] 0.185 0.236 -0.259 0.018 0.204 0.332 0.634 1.004 390 betaT[119,1] 0.678 0.115 0.445 0.596 0.682 0.749 0.884 1.005 300 betaT[119,2] -0.322 0.645 -1.732 -0.753 -0.313 0.115 0.848 1.003 600 betaT[120,1] -0.160 0.243 -0.659 -0.298 -0.138 -0.001 0.251 1.009 210 betaT[120,2] 1.390 0.350 0.721 1.158 1.378 1.624 2.061 0.999 600 betaT[121,1] -0.330 0.226 -0.775 -0.478 -0.310 -0.178 0.046 1.003 500 betaT[121,2] 0.018 0.497 -0.929 -0.274 -0.009 0.348 0.954 1.009 600 betaT[122,1] -0.105 0.241 -0.592 -0.266 -0.098 0.058 0.356 1.005 600 betaT[122,2] -0.094 0.644 -1.390 -0.526 -0.074 0.366 1.100 0.999 600 betaT[123,1] -0.002 0.215 -0.459 -0.137 0.001 0.147 0.400 1.000 600 betaT[123,2] 1.083 0.459 0.207 0.800 1.085 1.349 2.057 1.008 600 betaT[124,1] 0.169 0.152 -0.136 0.072 0.168 0.260 0.476 0.999 600 betaT[124,2] -0.517 0.606 -1.810 -0.909 -0.495 -0.112 0.557 1.003 600 betaT[125,1] 0.283 0.163 -0.052 0.179 0.288 0.388 0.602 1.005 290 betaT[125,2] 0.157 0.357 -0.602 -0.058 0.171 0.381 0.817 1.001 600 betaT[126,1] -0.043 0.203 -0.447 -0.186 -0.033 0.103 0.339 1.000 600 betaT[126,2] -0.742 0.297 -1.320 -0.935 -0.735 -0.532 -0.167 1.000 600 betaT[127,1] 0.088 0.171 -0.255 -0.020 0.087 0.207 0.405 1.002 600 betaT[127,2] 0.960 0.282 0.359 0.783 0.958 1.141 1.502 1.001 600 betaT[128,1] 0.220 0.205 -0.251 0.095 0.235 0.358 0.571 1.000 600 betaT[128,2] -0.180 0.393 -0.985 -0.445 -0.169 0.108 0.506 1.006 280 betaT[129,1] -0.114 0.224 -0.562 -0.257 -0.098 0.034 0.283 1.002 580 betaT[129,2] 0.367 0.269 -0.157 0.198 0.383 0.555 0.877 0.999 600 betaT[130,1] 0.210 0.199 -0.219 0.086 0.219 0.344 0.570 1.012 180 betaT[130,2] 0.512 0.278 -0.031 0.333 0.507 0.702 1.049 1.002 600 betaT[131,1] -0.147 0.217 -0.556 -0.287 -0.150 -0.006 0.279 1.000 600 betaT[131,2] 0.282 0.254 -0.213 0.123 0.280 0.446 0.765 1.002 600 betaT[132,1] -0.128 0.250 -0.635 -0.296 -0.109 0.042 0.327 0.999 600 betaT[132,2] -0.243 0.281 -0.849 -0.429 -0.234 -0.057 0.279 1.002 600 betaT[133,1] -0.078 0.246 -0.551 -0.246 -0.079 0.092 0.383 1.002 600 betaT[133,2] -0.052 0.487 -0.989 -0.349 -0.060 0.264 0.870 1.023 84 betaT[134,1] 0.128 0.230 -0.329 -0.017 0.126 0.298 0.546 0.999 600 betaT[134,2] -1.210 0.508 -2.172 -1.532 -1.196 -0.858 -0.339 1.000 600 betaT[135,1] -0.126 0.224 -0.594 -0.269 -0.118 0.041 0.275 1.000 600 betaT[135,2] 0.372 0.347 -0.282 0.124 0.367 0.585 1.045 1.008 220 betaT[136,1] -0.026 0.243 -0.526 -0.189 -0.021 0.150 0.417 1.001 600 betaT[136,2] -0.176 0.660 -1.458 -0.586 -0.149 0.278 1.228 1.000 600 betaT[137,1] -0.040 0.212 -0.454 -0.175 -0.030 0.104 0.353 1.002 600 betaT[137,2] 0.910 0.288 0.407 0.699 0.897 1.097 1.512 1.001 600 betaT[138,1] -0.228 0.210 -0.656 -0.368 -0.214 -0.072 0.165 0.999 600 betaT[138,2] -0.052 0.701 -1.439 -0.496 -0.060 0.384 1.400 1.000 600 betaT[139,1] 0.063 0.185 -0.300 -0.046 0.059 0.175 0.439 1.000 600 betaT[139,2] -0.435 0.611 -1.727 -0.846 -0.433 -0.031 0.726 0.999 600 betaT[140,1] 0.564 0.133 0.305 0.482 0.569 0.647 0.817 1.001 600 betaT[140,2] 0.836 0.354 0.153 0.581 0.837 1.060 1.525 1.004 600 betaT[141,1] -0.265 0.238 -0.709 -0.429 -0.255 -0.105 0.181 0.999 600 betaT[141,2] -0.087 0.697 -1.451 -0.541 -0.091 0.372 1.293 1.002 600 betaT[142,1] 0.179 0.166 -0.150 0.077 0.185 0.295 0.492 1.009 360 betaT[142,2] -0.325 0.408 -1.141 -0.598 -0.313 -0.040 0.415 1.008 270 betaT[143,1] -0.228 0.205 -0.646 -0.367 -0.222 -0.090 0.154 1.019 100 betaT[143,2] -0.283 0.645 -1.585 -0.708 -0.266 0.158 0.941 1.002 600 betaT[144,1] 0.130 0.168 -0.203 0.018 0.144 0.243 0.436 1.001 600 betaT[144,2] -0.011 0.314 -0.663 -0.207 -0.006 0.206 0.543 1.003 600 betaT[145,1] -0.111 0.207 -0.534 -0.249 -0.092 0.033 0.265 1.008 210 betaT[145,2] 0.254 0.369 -0.505 -0.008 0.256 0.516 0.980 1.004 470 betaT[146,1] -0.163 0.266 -0.724 -0.334 -0.146 0.018 0.305 1.004 520 betaT[146,2] -0.033 0.670 -1.479 -0.467 -0.030 0.397 1.258 1.000 600 betaT[147,1] -0.186 0.223 -0.643 -0.337 -0.184 -0.025 0.234 0.999 600 betaT[147,2] -0.188 0.664 -1.493 -0.616 -0.174 0.255 1.055 0.999 600 betaT[148,1] 0.104 0.281 -0.462 -0.096 0.104 0.310 0.639 1.004 530 betaT[148,2] -0.534 0.623 -1.764 -0.931 -0.498 -0.116 0.620 1.014 150 betaT[149,1] 0.137 0.203 -0.313 0.013 0.152 0.276 0.501 1.000 600 betaT[149,2] -0.126 0.498 -1.127 -0.476 -0.123 0.245 0.783 1.001 600 betaT[150,1] -0.398 0.204 -0.841 -0.530 -0.381 -0.245 -0.051 0.999 600 betaT[150,2] -0.159 0.668 -1.436 -0.608 -0.165 0.313 1.157 1.000 600 betaT[151,1] -0.224 0.181 -0.586 -0.337 -0.218 -0.108 0.120 1.003 600 betaT[151,2] 0.570 0.545 -0.493 0.194 0.581 0.944 1.590 1.003 600 betaT[152,1] 0.130 0.213 -0.330 -0.004 0.146 0.271 0.495 0.999 600 betaT[152,2] -0.255 0.331 -0.855 -0.490 -0.238 -0.032 0.352 1.001 600 betaT[153,1] -0.245 0.218 -0.687 -0.378 -0.252 -0.100 0.159 1.000 600 betaT[153,2] -0.087 0.437 -0.908 -0.399 -0.088 0.200 0.772 1.005 600 betaT[154,1] 0.080 0.134 -0.183 -0.003 0.090 0.171 0.322 1.000 600 betaT[154,2] 1.165 0.546 0.168 0.785 1.145 1.582 2.242 1.003 600 betaT[155,1] 0.333 0.167 0.011 0.225 0.333 0.444 0.660 1.001 600 betaT[155,2] 0.534 0.333 -0.116 0.325 0.540 0.750 1.159 1.008 600 betaT[156,1] 0.580 0.169 0.243 0.471 0.585 0.691 0.911 1.004 360 betaT[156,2] -0.459 0.285 -1.034 -0.655 -0.452 -0.256 0.112 1.001 600 betaT[157,1] 0.224 0.137 -0.062 0.142 0.224 0.308 0.505 1.005 600 betaT[157,2] 0.183 0.422 -0.650 -0.103 0.164 0.476 1.025 0.999 600 betaT[158,1] -0.129 0.222 -0.579 -0.268 -0.127 0.024 0.280 1.001 600 betaT[158,2] 0.069 0.304 -0.526 -0.134 0.072 0.259 0.702 0.999 600 betaT[159,1] -0.048 0.253 -0.585 -0.207 -0.021 0.121 0.394 1.001 600 betaT[159,2] -0.871 0.504 -1.876 -1.180 -0.860 -0.530 0.075 1.004 360 betaT[160,1] 0.182 0.153 -0.130 0.077 0.186 0.284 0.479 1.001 600 betaT[160,2] -0.521 0.341 -1.129 -0.758 -0.519 -0.293 0.116 1.001 600 betaT[161,1] 0.058 0.200 -0.388 -0.061 0.065 0.196 0.417 1.001 600 betaT[161,2] -1.335 0.500 -2.331 -1.694 -1.324 -0.990 -0.433 0.999 600 betaT[162,1] 0.283 0.172 -0.096 0.164 0.295 0.403 0.580 1.005 320 betaT[162,2] 0.123 0.249 -0.341 -0.052 0.118 0.300 0.632 1.022 93 betaT[163,1] -0.218 0.261 -0.734 -0.392 -0.209 -0.023 0.224 1.000 600 betaT[163,2] -0.298 0.614 -1.507 -0.717 -0.270 0.142 0.820 1.007 500 betaT[164,1] 0.251 0.196 -0.137 0.125 0.265 0.398 0.603 1.005 600 betaT[164,2] 0.098 0.250 -0.388 -0.073 0.099 0.269 0.580 1.003 490 betaT[165,1] 0.125 0.162 -0.193 0.017 0.125 0.231 0.438 0.999 600 betaT[165,2] -0.454 0.614 -1.678 -0.852 -0.460 -0.029 0.701 1.003 600 betaT[166,1] 0.869 0.122 0.647 0.787 0.872 0.948 1.098 1.000 600 betaT[166,2] -0.075 0.392 -0.824 -0.356 -0.058 0.183 0.723 1.001 600 betaT[167,1] 0.094 0.168 -0.246 -0.017 0.101 0.210 0.418 0.999 600 betaT[167,2] 1.371 0.295 0.795 1.172 1.377 1.554 1.942 1.003 430 betaT[168,1] -0.193 0.203 -0.607 -0.317 -0.188 -0.059 0.177 1.003 570 betaT[168,2] 0.689 0.291 0.102 0.491 0.695 0.881 1.252 1.000 600 betaT[169,1] -0.262 0.217 -0.695 -0.403 -0.249 -0.115 0.134 1.003 550 betaT[169,2] -0.197 0.655 -1.573 -0.636 -0.189 0.240 1.052 1.009 180 betaT[170,1] -0.121 0.220 -0.553 -0.256 -0.118 0.022 0.325 1.015 150 betaT[170,2] -0.772 0.400 -1.553 -1.048 -0.766 -0.500 0.024 1.007 240 betaT[171,1] 0.002 0.274 -0.509 -0.180 0.006 0.188 0.506 1.004 350 betaT[171,2] 0.250 0.303 -0.415 0.052 0.248 0.449 0.846 1.009 580 betaT[172,1] -0.217 0.224 -0.714 -0.358 -0.212 -0.047 0.174 0.999 600 betaT[172,2] 0.465 0.325 -0.236 0.257 0.470 0.675 1.064 1.000 600 betaT[173,1] -0.562 0.204 -0.996 -0.691 -0.538 -0.427 -0.186 1.002 600 betaT[173,2] 1.104 0.524 0.069 0.756 1.107 1.456 2.114 1.004 370 betaT[174,1] 0.158 0.271 -0.396 -0.027 0.159 0.346 0.631 1.011 260 betaT[174,2] 0.310 0.323 -0.380 0.098 0.308 0.510 0.962 1.026 87 betaT[175,1] -0.069 0.217 -0.501 -0.194 -0.066 0.085 0.304 1.001 600 betaT[175,2] 0.132 0.378 -0.608 -0.115 0.136 0.400 0.818 1.001 600 betaT[176,1] -0.096 0.246 -0.588 -0.265 -0.087 0.077 0.362 1.001 600 betaT[176,2] -0.246 0.288 -0.849 -0.436 -0.230 -0.057 0.283 1.000 600 betaT[177,1] -0.091 0.275 -0.605 -0.281 -0.098 0.095 0.445 1.006 310 betaT[177,2] -0.446 0.645 -1.716 -0.871 -0.409 -0.019 0.675 1.017 280 betaT[178,1] -0.230 0.175 -0.601 -0.333 -0.226 -0.108 0.114 0.999 600 betaT[178,2] -0.492 0.599 -1.606 -0.870 -0.483 -0.122 0.712 1.006 360 betaT[179,1] -0.086 0.204 -0.484 -0.221 -0.078 0.051 0.287 1.006 600 betaT[179,2] -0.194 0.345 -0.892 -0.419 -0.194 0.006 0.502 1.001 600 betaT[180,1] -0.203 0.252 -0.767 -0.363 -0.205 -0.019 0.252 1.004 380 betaT[180,2] -0.179 0.655 -1.556 -0.574 -0.179 0.290 1.032 1.000 600 betaT[181,1] -0.126 0.275 -0.708 -0.301 -0.119 0.066 0.425 1.011 190 betaT[181,2] 0.145 0.272 -0.353 -0.041 0.135 0.327 0.679 1.017 140 betaT[182,1] -0.131 0.272 -0.684 -0.302 -0.144 0.036 0.400 1.003 600 betaT[182,2] -0.127 0.242 -0.619 -0.305 -0.118 0.039 0.325 1.023 90 betaT[183,1] -0.058 0.204 -0.471 -0.194 -0.045 0.086 0.307 1.011 170 betaT[183,2] 0.727 0.325 0.073 0.533 0.720 0.936 1.324 1.012 170 betaT[184,1] -0.012 0.226 -0.508 -0.156 0.012 0.137 0.393 1.005 290 betaT[184,2] -0.127 0.305 -0.690 -0.341 -0.128 0.096 0.466 1.003 600 betaT[185,1] -0.309 0.207 -0.761 -0.433 -0.296 -0.160 0.067 1.006 280 betaT[185,2] -0.091 0.668 -1.464 -0.516 -0.088 0.335 1.148 1.001 600 betaT[186,1] 0.000 0.265 -0.533 -0.178 0.004 0.179 0.504 1.002 600 betaT[186,2] 0.127 0.273 -0.398 -0.063 0.137 0.316 0.651 1.004 400 betaT[187,1] -0.017 0.211 -0.469 -0.161 -0.009 0.132 0.360 1.001 600 betaT[187,2] 0.822 0.414 0.025 0.529 0.812 1.099 1.664 1.005 560 betaT[188,1] -0.181 0.270 -0.719 -0.365 -0.168 0.015 0.317 1.004 510 betaT[188,2] 0.070 0.276 -0.495 -0.106 0.086 0.262 0.551 1.005 600 betaT[189,1] -0.066 0.260 -0.570 -0.227 -0.070 0.110 0.437 0.999 600 betaT[189,2] 0.402 0.409 -0.360 0.109 0.389 0.662 1.219 1.004 360 betaT[190,1] 0.054 0.122 -0.188 -0.029 0.060 0.136 0.286 1.008 280 betaT[190,2] 0.235 0.461 -0.679 -0.068 0.242 0.541 1.129 0.999 600 betaT[191,1] 0.172 0.199 -0.210 0.031 0.168 0.317 0.554 1.002 600 betaT[191,2] 0.062 0.333 -0.618 -0.155 0.066 0.292 0.660 0.999 600 betaT[192,1] -0.247 0.219 -0.701 -0.388 -0.240 -0.087 0.132 0.999 600 betaT[192,2] -0.121 0.649 -1.497 -0.534 -0.094 0.336 1.105 1.003 410 betaT[193,1] 0.013 0.199 -0.378 -0.129 0.015 0.157 0.366 1.004 600 betaT[193,2] -0.653 0.586 -1.809 -1.011 -0.643 -0.255 0.479 1.003 510 betaT[194,1] -0.088 0.198 -0.464 -0.221 -0.080 0.041 0.294 0.999 600 betaT[194,2] -0.609 0.564 -1.824 -0.942 -0.590 -0.225 0.484 1.008 230 betaT[195,1] 0.083 0.206 -0.364 -0.045 0.101 0.214 0.462 1.003 600 betaT[195,2] 0.261 0.372 -0.417 0.008 0.250 0.512 1.023 1.009 190 betaT[196,1] 0.092 0.233 -0.368 -0.059 0.096 0.251 0.538 1.002 600 betaT[196,2] -1.042 0.522 -2.197 -1.355 -1.010 -0.702 -0.098 1.002 510 betaT[197,1] -0.145 0.206 -0.593 -0.260 -0.137 -0.004 0.242 0.999 600 betaT[197,2] -0.723 0.557 -1.852 -1.092 -0.717 -0.353 0.332 1.001 600 betaT[198,1] -0.339 0.210 -0.765 -0.472 -0.329 -0.196 0.055 1.004 440 betaT[198,2] -0.345 0.627 -1.513 -0.768 -0.365 0.051 0.937 1.004 600 betaT[199,1] -0.053 0.264 -0.611 -0.231 -0.048 0.131 0.433 1.009 220 betaT[199,2] -0.073 0.266 -0.622 -0.239 -0.068 0.111 0.399 1.008 240 betaT[200,1] -0.227 0.180 -0.586 -0.347 -0.228 -0.109 0.108 1.008 210 betaT[200,2] -0.048 0.682 -1.426 -0.490 -0.070 0.374 1.279 1.000 600 betaT[201,1] 0.063 0.268 -0.474 -0.127 0.060 0.240 0.562 1.011 160 betaT[201,2] 0.062 0.265 -0.426 -0.104 0.063 0.229 0.592 1.003 600 betaT[202,1] -0.040 0.237 -0.498 -0.206 -0.042 0.134 0.401 1.000 600 betaT[202,2] -0.387 0.618 -1.643 -0.773 -0.376 0.005 0.801 1.004 600 betaT[203,1] -0.149 0.199 -0.566 -0.271 -0.136 -0.012 0.222 1.015 380 betaT[203,2] 0.341 0.269 -0.204 0.170 0.348 0.516 0.854 1.000 600 tau.err 0.002 0.000 0.002 0.002 0.002 0.002 0.002 1.003 600 tau.betaT[1] 10.507 1.688 7.312 9.366 10.455 11.572 13.990 1.000 600 tau.betaT[2] 2.098 0.405 1.435 1.796 2.067 2.336 2.997 1.002 600 vc[1,1] 0.313 0.130 0.149 0.227 0.291 0.363 0.617 1.005 300 vc[1,2] -0.495 0.230 -1.025 -0.583 -0.454 -0.345 -0.207 1.010 510 vc[1,3] 0.100 0.081 -0.018 0.048 0.089 0.138 0.263 1.014 340 vc[2,1] -0.495 0.230 -1.025 -0.583 -0.454 -0.345 -0.207 1.010 510 vc[2,2] 1.305 0.595 0.607 0.921 1.176 1.541 2.671 1.002 600 vc[2,3] -0.312 0.196 -0.799 -0.394 -0.275 -0.183 -0.062 1.002 600 vc[3,1] 0.100 0.081 -0.018 0.048 0.089 0.138 0.263 1.014 340 vc[3,2] -0.312 0.196 -0.799 -0.394 -0.275 -0.183 -0.062 1.002 600 vc[3,3] 0.175 0.085 0.066 0.114 0.156 0.213 0.381 1.001 600 rho[1,1] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 rho[1,2] -0.774 0.107 -0.915 -0.850 -0.794 -0.718 -0.520 1.006 480 rho[1,3] 0.421 0.233 -0.080 0.280 0.446 0.598 0.770 1.006 280 rho[2,1] -0.774 0.107 -0.915 -0.850 -0.794 -0.718 -0.520 1.006 480 rho[2,2] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 rho[2,3] -0.637 0.186 -0.895 -0.781 -0.669 -0.540 -0.187 1.001 600 rho[3,1] 0.421 0.233 -0.080 0.280 0.446 0.598 0.770 1.006 280 rho[3,2] -0.637 0.186 -0.895 -0.781 -0.669 -0.540 -0.187 1.001 600 rho[3,3] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 deviance 13023.733 27.959 12970.000 13000.000 13020.000 13040.000 13080.000 1.001 600 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). pD = 260.0 and DIC = 13283.8 (using the rule, pD = Dbar-Dhat) DIC is an estimate of expected predictive error (lower deviance is better).