Inference for Bugs model at "/home/kubo/tanabe/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 bb[1] 0.984 0.133 0.717 0.899 0.985 1.076 1.232 1.041 54 bb[2] 0.430 0.152 0.111 0.341 0.436 0.526 0.726 1.017 130 bb[3] 2.347 0.124 2.104 2.266 2.335 2.431 2.614 1.108 24 bb[4] 2.495 0.042 2.412 2.468 2.496 2.524 2.570 1.010 240 bb[5] 2.139 0.074 2.005 2.086 2.138 2.187 2.282 1.002 600 bb[6] 2.423 0.121 2.198 2.344 2.424 2.496 2.672 1.024 530 bc[1,1] -0.104 0.020 -0.143 -0.118 -0.104 -0.091 -0.064 1.004 360 bc[1,2] -0.046 0.024 -0.091 -0.063 -0.045 -0.029 0.002 1.003 600 bc[1,3] -0.795 0.207 -1.204 -0.932 -0.808 -0.653 -0.385 1.034 65 bc[1,4] -0.691 0.173 -1.023 -0.810 -0.689 -0.571 -0.344 1.029 93 bc[1,5] 1.415 0.267 0.932 1.241 1.398 1.571 1.940 1.034 60 bc[2,1] -0.089 0.022 -0.130 -0.104 -0.091 -0.074 -0.043 1.002 600 bc[2,2] -0.036 0.026 -0.084 -0.052 -0.037 -0.020 0.017 1.031 70 bc[2,3] -0.637 0.259 -1.109 -0.810 -0.644 -0.475 -0.079 1.010 390 bc[2,4] -0.495 0.198 -0.891 -0.626 -0.490 -0.379 -0.094 1.009 600 bc[2,5] 1.009 0.304 0.337 0.831 1.014 1.211 1.545 1.019 180 bc[3,1] 0.419 0.013 0.394 0.410 0.419 0.428 0.444 1.004 350 bc[3,2] 0.006 0.021 -0.034 -0.009 0.006 0.021 0.046 1.065 36 bc[3,3] -0.065 0.179 -0.395 -0.192 -0.063 0.057 0.299 1.015 130 bc[3,4] -0.102 0.155 -0.406 -0.206 -0.100 -0.005 0.215 1.074 31 bc[3,5] 0.222 0.184 -0.162 0.096 0.242 0.350 0.566 1.013 160 bc[4,1] 0.389 0.009 0.372 0.382 0.388 0.395 0.407 1.009 250 bc[4,2] 0.016 0.007 0.003 0.011 0.016 0.021 0.031 1.002 600 bc[4,3] -0.211 0.069 -0.338 -0.257 -0.215 -0.166 -0.077 1.005 380 bc[4,4] -0.071 0.056 -0.175 -0.110 -0.076 -0.033 0.038 1.025 130 bc[4,5] -0.101 0.086 -0.267 -0.163 -0.099 -0.041 0.065 1.011 190 bc[5,1] 0.238 0.018 0.203 0.225 0.238 0.252 0.274 1.006 300 bc[5,2] 0.052 0.015 0.022 0.042 0.051 0.061 0.081 1.000 600 bc[5,3] 0.140 0.127 -0.117 0.059 0.140 0.222 0.380 0.999 600 bc[5,4] -0.300 0.105 -0.503 -0.367 -0.301 -0.229 -0.097 1.005 290 bc[5,5] 0.208 0.154 -0.109 0.111 0.213 0.302 0.514 1.000 600 bc[6,1] 0.411 0.015 0.382 0.401 0.412 0.421 0.440 1.000 600 bc[6,2] -0.089 0.021 -0.136 -0.102 -0.089 -0.074 -0.051 1.001 600 bc[6,3] 0.043 0.198 -0.359 -0.078 0.045 0.185 0.401 1.011 230 bc[6,4] 0.035 0.160 -0.299 -0.052 0.033 0.139 0.326 1.022 220 bc[6,5] -0.577 0.232 -1.004 -0.731 -0.598 -0.433 -0.114 1.012 150 bs[1,1] -0.122 0.134 -0.388 -0.209 -0.122 -0.034 0.136 1.017 180 bs[1,2] 0.087 0.146 -0.181 -0.016 0.082 0.191 0.386 1.001 600 bs[1,3] -0.040 0.117 -0.260 -0.118 -0.045 0.037 0.196 1.014 250 bs[1,4] 0.083 0.193 -0.251 -0.060 0.073 0.210 0.470 1.026 89 bs[1,5] 0.254 0.123 -0.002 0.170 0.252 0.328 0.495 1.013 160 bs[1,6] 0.033 0.137 -0.229 -0.064 0.034 0.129 0.308 1.006 280 bs[1,7] 0.027 0.120 -0.198 -0.053 0.022 0.100 0.284 1.018 270 bs[1,8] -0.057 0.116 -0.286 -0.129 -0.060 0.010 0.199 1.022 130 bs[1,9] -0.016 0.146 -0.296 -0.116 -0.013 0.088 0.255 1.026 77 bs[1,10] -0.038 0.144 -0.321 -0.133 -0.035 0.063 0.254 1.020 96 bs[1,11] 0.348 0.150 0.072 0.238 0.344 0.443 0.663 1.023 88 bs[1,12] -0.445 0.167 -0.766 -0.559 -0.446 -0.326 -0.123 1.015 120 bs[1,13] 0.344 0.171 -0.004 0.230 0.338 0.440 0.700 1.022 90 bs[1,14] 0.068 0.176 -0.283 -0.049 0.063 0.179 0.434 1.016 120 bs[1,15] -0.155 0.218 -0.610 -0.292 -0.148 -0.007 0.239 0.999 600 bs[1,16] 0.274 0.174 -0.068 0.157 0.269 0.388 0.636 1.002 570 bs[1,17] -0.436 0.182 -0.819 -0.540 -0.426 -0.321 -0.095 1.006 280 bs[1,18] 0.027 0.146 -0.260 -0.074 0.024 0.124 0.310 1.000 600 bs[1,19] 0.002 0.136 -0.275 -0.095 0.009 0.101 0.248 1.003 600 bs[1,20] 0.156 0.149 -0.124 0.055 0.148 0.253 0.448 1.009 190 bs[1,21] 0.437 0.181 0.113 0.311 0.425 0.559 0.802 1.006 300 bs[1,22] -0.136 0.159 -0.466 -0.236 -0.130 -0.034 0.175 1.000 600 bs[1,23] -0.299 0.117 -0.533 -0.374 -0.293 -0.220 -0.058 1.001 600 bs[1,24] 0.321 0.190 -0.049 0.198 0.321 0.451 0.681 0.999 600 bs[1,25] -0.263 0.165 -0.565 -0.378 -0.263 -0.150 0.046 1.007 600 bs[1,26] -0.063 0.170 -0.374 -0.186 -0.067 0.046 0.263 1.004 430 bs[1,27] -0.375 0.179 -0.703 -0.496 -0.376 -0.259 -0.021 1.011 170 bs[1,28] -0.073 0.178 -0.433 -0.188 -0.066 0.048 0.257 1.007 600 bs[1,29] 0.182 0.173 -0.129 0.066 0.176 0.302 0.526 1.011 280 bs[2,1] -0.013 0.140 -0.333 -0.098 -0.014 0.084 0.259 1.021 99 bs[2,2] -0.122 0.152 -0.431 -0.216 -0.118 -0.019 0.168 1.029 74 bs[2,3] 0.018 0.133 -0.243 -0.073 0.025 0.114 0.274 1.058 40 bs[2,4] -0.062 0.207 -0.445 -0.206 -0.072 0.078 0.345 1.040 55 bs[2,5] -0.170 0.141 -0.429 -0.276 -0.163 -0.076 0.110 1.055 41 bs[2,6] 0.109 0.159 -0.218 0.008 0.114 0.214 0.417 1.068 34 bs[2,7] -0.193 0.136 -0.463 -0.286 -0.189 -0.092 0.066 1.070 33 bs[2,8] 0.400 0.139 0.124 0.311 0.407 0.488 0.669 1.036 58 bs[2,9] -0.206 0.165 -0.507 -0.313 -0.210 -0.111 0.123 1.006 460 bs[2,10] 0.109 0.166 -0.185 -0.006 0.105 0.207 0.483 1.003 420 bs[2,11] 0.214 0.168 -0.108 0.102 0.207 0.318 0.574 1.027 93 bs[2,12] 0.017 0.190 -0.331 -0.108 0.016 0.135 0.374 1.010 600 bs[2,13] 0.211 0.221 -0.207 0.047 0.220 0.359 0.643 1.013 350 bs[2,14] 0.420 0.212 0.035 0.277 0.406 0.569 0.844 1.046 64 bs[2,15] -0.100 0.230 -0.531 -0.257 -0.096 0.055 0.358 1.000 600 bs[2,16] -0.276 0.190 -0.666 -0.395 -0.276 -0.137 0.083 1.007 270 bs[2,17] 0.162 0.179 -0.203 0.043 0.167 0.278 0.504 1.007 240 bs[2,18] -0.100 0.162 -0.406 -0.214 -0.105 0.013 0.219 1.002 600 bs[2,19] 0.433 0.145 0.152 0.329 0.420 0.537 0.715 1.036 98 bs[2,20] 0.192 0.168 -0.123 0.087 0.182 0.296 0.524 1.003 410 bs[2,21] -0.049 0.198 -0.450 -0.174 -0.046 0.076 0.323 1.000 600 bs[2,22] -0.377 0.178 -0.723 -0.493 -0.375 -0.249 -0.042 1.000 600 bs[2,23] 0.041 0.130 -0.217 -0.047 0.043 0.130 0.289 1.002 600 bs[2,24] -0.032 0.199 -0.457 -0.160 -0.024 0.102 0.352 0.999 600 bs[2,25] -0.130 0.172 -0.455 -0.245 -0.138 -0.014 0.229 1.019 110 bs[2,26] -0.169 0.180 -0.528 -0.290 -0.174 -0.054 0.205 1.002 600 bs[2,27] -0.673 0.214 -1.087 -0.828 -0.669 -0.528 -0.249 1.028 120 bs[2,28] 0.162 0.194 -0.212 0.034 0.162 0.287 0.560 1.010 230 bs[2,29] 0.371 0.201 -0.017 0.252 0.361 0.495 0.771 1.003 440 bs[3,1] -0.086 0.114 -0.308 -0.161 -0.089 -0.012 0.132 1.025 91 bs[3,2] 0.061 0.118 -0.179 -0.025 0.060 0.135 0.302 1.017 140 bs[3,3] 0.097 0.110 -0.108 0.024 0.096 0.168 0.318 1.037 66 bs[3,4] 0.122 0.161 -0.198 0.008 0.124 0.238 0.453 1.178 15 bs[3,5] 0.192 0.110 -0.011 0.117 0.186 0.265 0.416 1.053 47 bs[3,6] 0.429 0.132 0.189 0.336 0.418 0.519 0.699 1.067 35 bs[3,7] 0.100 0.112 -0.096 0.023 0.096 0.166 0.340 1.037 70 bs[3,8] -0.738 0.117 -0.960 -0.820 -0.738 -0.654 -0.507 1.043 57 bs[3,9] -0.110 0.134 -0.387 -0.201 -0.103 -0.018 0.140 1.050 51 bs[3,10] -0.248 0.137 -0.529 -0.341 -0.236 -0.156 0.004 1.049 48 bs[3,11] 0.136 0.129 -0.118 0.049 0.142 0.215 0.394 1.099 26 bs[3,12] 0.099 0.161 -0.251 -0.002 0.113 0.210 0.394 1.013 160 bs[3,13] -0.169 0.151 -0.480 -0.269 -0.163 -0.071 0.129 1.009 220 bs[3,14] -0.249 0.144 -0.532 -0.341 -0.241 -0.150 0.026 1.020 100 bs[3,15] 0.154 0.167 -0.139 0.033 0.160 0.259 0.487 1.020 97 bs[3,16] 0.135 0.126 -0.098 0.043 0.134 0.223 0.371 1.005 600 bs[3,17] 0.007 0.118 -0.223 -0.066 0.002 0.090 0.230 1.026 80 bs[3,18] -0.029 0.106 -0.232 -0.095 -0.030 0.042 0.174 1.013 200 bs[3,19] -0.291 0.117 -0.512 -0.379 -0.286 -0.212 -0.050 1.025 91 bs[3,20] -0.036 0.108 -0.240 -0.110 -0.037 0.039 0.171 1.004 410 bs[3,21] 0.084 0.134 -0.174 -0.005 0.091 0.177 0.333 1.013 150 bs[3,22] -0.110 0.113 -0.334 -0.189 -0.110 -0.032 0.103 1.002 600 bs[3,23] -0.052 0.088 -0.229 -0.111 -0.046 0.008 0.118 1.011 190 bs[3,24] 0.082 0.132 -0.173 -0.006 0.076 0.172 0.340 1.019 100 bs[3,25] -0.180 0.142 -0.450 -0.281 -0.179 -0.076 0.069 1.034 75 bs[3,26] 0.091 0.118 -0.134 0.014 0.086 0.169 0.322 1.004 600 bs[3,27] 0.449 0.147 0.144 0.348 0.456 0.546 0.715 1.024 87 bs[3,28] 0.178 0.128 -0.064 0.094 0.177 0.260 0.434 0.999 600 bs[3,29] -0.080 0.126 -0.311 -0.166 -0.081 0.006 0.172 1.002 600 bs[4,1] -0.146 0.048 -0.246 -0.178 -0.145 -0.112 -0.058 1.016 190 bs[4,2] -0.023 0.052 -0.130 -0.057 -0.022 0.011 0.076 1.006 270 bs[4,3] 0.036 0.043 -0.050 0.008 0.037 0.064 0.114 1.018 160 bs[4,4] -0.062 0.058 -0.177 -0.100 -0.064 -0.026 0.059 1.013 180 bs[4,5] 0.018 0.042 -0.068 -0.007 0.016 0.047 0.099 1.010 300 bs[4,6] 0.025 0.053 -0.075 -0.012 0.026 0.060 0.120 1.010 600 bs[4,7] -0.011 0.044 -0.097 -0.039 -0.011 0.019 0.080 1.018 200 bs[4,8] 0.117 0.045 0.030 0.087 0.118 0.147 0.204 1.005 600 bs[4,9] -0.031 0.051 -0.130 -0.066 -0.032 0.003 0.081 1.006 320 bs[4,10] 0.056 0.050 -0.033 0.021 0.054 0.088 0.155 0.999 600 bs[4,11] 0.075 0.047 -0.014 0.044 0.073 0.105 0.178 1.007 250 bs[4,12] -0.051 0.054 -0.156 -0.090 -0.053 -0.017 0.055 0.999 600 bs[4,13] 0.016 0.064 -0.127 -0.024 0.018 0.055 0.158 1.000 600 bs[4,14] 0.023 0.060 -0.104 -0.013 0.024 0.060 0.136 0.999 600 bs[4,15] -0.023 0.073 -0.169 -0.072 -0.019 0.027 0.121 1.001 600 bs[4,16] -0.062 0.063 -0.183 -0.104 -0.060 -0.018 0.055 1.002 600 bs[4,17] 0.056 0.058 -0.059 0.016 0.056 0.097 0.157 1.005 350 bs[4,18] -0.084 0.054 -0.201 -0.119 -0.081 -0.050 0.020 1.006 600 bs[4,19] 0.044 0.048 -0.046 0.011 0.044 0.078 0.139 0.999 600 bs[4,20] 0.055 0.059 -0.065 0.014 0.059 0.094 0.172 1.007 290 bs[4,21] 0.012 0.063 -0.110 -0.031 0.009 0.054 0.137 1.005 430 bs[4,22] -0.041 0.063 -0.165 -0.081 -0.040 0.000 0.081 1.005 290 bs[4,23] -0.081 0.045 -0.177 -0.109 -0.078 -0.051 0.005 1.006 250 bs[4,24] -0.041 0.068 -0.170 -0.087 -0.040 0.007 0.085 1.006 260 bs[4,25] -0.066 0.054 -0.170 -0.101 -0.066 -0.028 0.041 1.002 600 bs[4,26] 0.106 0.061 -0.017 0.067 0.101 0.145 0.227 0.999 600 bs[4,27] -0.046 0.058 -0.169 -0.082 -0.046 -0.009 0.060 0.999 600 bs[4,28] 0.020 0.067 -0.107 -0.022 0.019 0.064 0.154 0.999 600 bs[4,29] 0.058 0.064 -0.071 0.017 0.058 0.099 0.186 1.005 600 bs[5,1] -0.103 0.092 -0.289 -0.160 -0.101 -0.044 0.067 1.003 530 bs[5,2] -0.048 0.106 -0.255 -0.116 -0.051 0.020 0.161 1.003 600 bs[5,3] -0.017 0.076 -0.157 -0.068 -0.016 0.033 0.128 1.008 600 bs[5,4] 0.075 0.108 -0.119 -0.004 0.076 0.145 0.299 0.999 600 bs[5,5] 0.043 0.083 -0.128 -0.007 0.044 0.096 0.197 1.002 560 bs[5,6] -0.019 0.097 -0.200 -0.089 -0.019 0.048 0.163 1.013 200 bs[5,7] -0.063 0.089 -0.234 -0.121 -0.063 -0.005 0.108 1.002 600 bs[5,8] 0.208 0.085 0.056 0.152 0.207 0.266 0.381 1.013 210 bs[5,9] 0.056 0.092 -0.135 -0.006 0.059 0.120 0.228 1.001 600 bs[5,10] 0.091 0.098 -0.090 0.027 0.091 0.156 0.276 1.001 600 bs[5,11] -0.228 0.089 -0.408 -0.288 -0.225 -0.170 -0.057 1.001 600 bs[5,12] -0.003 0.105 -0.232 -0.070 0.006 0.064 0.202 1.002 600 bs[5,13] -0.071 0.114 -0.303 -0.142 -0.066 0.003 0.161 0.999 600 bs[5,14] -0.144 0.109 -0.349 -0.219 -0.140 -0.073 0.083 1.002 600 bs[5,15] 0.108 0.141 -0.159 0.020 0.097 0.189 0.394 1.000 600 bs[5,16] -0.158 0.139 -0.449 -0.246 -0.154 -0.061 0.092 1.005 600 bs[5,17] 0.124 0.121 -0.094 0.042 0.122 0.203 0.360 1.004 370 bs[5,18] 0.092 0.115 -0.131 0.015 0.089 0.167 0.319 1.006 250 bs[5,19] 0.061 0.094 -0.125 -0.002 0.059 0.118 0.263 1.011 370 bs[5,20] -0.092 0.116 -0.327 -0.170 -0.093 -0.007 0.134 1.002 560 bs[5,21] -0.069 0.122 -0.330 -0.148 -0.065 0.012 0.164 1.000 600 bs[5,22] -0.143 0.119 -0.387 -0.217 -0.139 -0.065 0.076 1.001 600 bs[5,23] 0.061 0.084 -0.100 0.006 0.061 0.114 0.222 1.005 600 bs[5,24] -0.094 0.127 -0.356 -0.179 -0.096 -0.005 0.132 1.001 600 bs[5,25] 0.055 0.106 -0.130 -0.018 0.051 0.117 0.273 1.002 530 bs[5,26] 0.128 0.121 -0.109 0.053 0.127 0.215 0.365 0.999 600 bs[5,27] 0.221 0.111 0.007 0.140 0.215 0.294 0.452 0.999 600 bs[5,28] -0.081 0.132 -0.344 -0.175 -0.077 0.016 0.147 1.009 190 bs[5,29] 0.038 0.122 -0.208 -0.039 0.036 0.118 0.270 1.000 600 bs[6,1] 0.047 0.110 -0.172 -0.023 0.047 0.116 0.268 1.029 170 bs[6,2] 0.104 0.126 -0.147 0.022 0.101 0.182 0.349 1.009 410 bs[6,3] 0.129 0.109 -0.083 0.066 0.125 0.190 0.348 1.028 210 bs[6,4] -0.191 0.159 -0.510 -0.292 -0.192 -0.086 0.114 1.015 330 bs[6,5] 0.057 0.111 -0.165 -0.008 0.057 0.123 0.282 1.013 410 bs[6,6] 0.017 0.127 -0.239 -0.066 0.016 0.104 0.263 1.010 580 bs[6,7] -0.002 0.112 -0.240 -0.071 -0.007 0.069 0.227 1.027 150 bs[6,8] -0.336 0.112 -0.556 -0.414 -0.334 -0.260 -0.128 1.027 290 bs[6,9] -0.050 0.135 -0.329 -0.131 -0.052 0.033 0.206 1.023 600 bs[6,10] 0.425 0.137 0.131 0.344 0.426 0.507 0.690 1.013 510 bs[6,11] 0.200 0.131 -0.056 0.121 0.201 0.283 0.453 1.031 300 bs[6,12] -0.480 0.158 -0.833 -0.579 -0.487 -0.381 -0.167 1.010 600 bs[6,13] 0.269 0.173 -0.050 0.155 0.258 0.374 0.622 1.015 220 bs[6,14] -0.091 0.152 -0.371 -0.191 -0.090 0.006 0.209 1.009 600 bs[6,15] -0.095 0.173 -0.414 -0.213 -0.103 0.019 0.235 1.001 600 bs[6,16] 0.079 0.146 -0.195 -0.026 0.077 0.177 0.371 1.000 600 bs[6,17] -0.256 0.140 -0.522 -0.344 -0.266 -0.166 0.027 1.000 600 bs[6,18] 0.118 0.122 -0.103 0.036 0.112 0.195 0.376 1.006 420 bs[6,19] 0.000 0.117 -0.242 -0.083 0.005 0.082 0.218 1.007 250 bs[6,20] -0.071 0.132 -0.317 -0.156 -0.081 0.024 0.177 1.002 590 bs[6,21] 0.405 0.154 0.097 0.300 0.398 0.512 0.735 1.019 230 bs[6,22] 0.044 0.130 -0.228 -0.043 0.042 0.131 0.314 1.002 560 bs[6,23] 0.308 0.092 0.140 0.244 0.306 0.363 0.509 1.011 340 bs[6,24] -0.122 0.156 -0.421 -0.223 -0.121 -0.014 0.171 0.999 600 bs[6,25] 0.105 0.149 -0.211 0.010 0.112 0.200 0.384 1.005 310 bs[6,26] -0.420 0.146 -0.718 -0.518 -0.423 -0.319 -0.135 1.009 190 bs[6,27] -0.145 0.152 -0.427 -0.253 -0.146 -0.037 0.159 1.011 390 bs[6,28] 0.003 0.146 -0.278 -0.096 0.003 0.097 0.294 0.999 600 bs[6,29] -0.026 0.145 -0.320 -0.117 -0.022 0.067 0.237 0.999 600 log.conv12[1] -0.268 0.016 -0.298 -0.279 -0.269 -0.258 -0.238 1.002 570 log.conv12[2] -0.416 0.026 -0.465 -0.431 -0.416 -0.399 -0.364 1.000 600 tau[1] 6.264 0.384 5.538 6.003 6.242 6.507 7.017 1.016 140 tau[2] 5.606 0.358 4.964 5.349 5.585 5.849 6.327 1.000 600 tau[3] 20.663 1.776 17.549 19.350 20.605 21.795 24.431 1.032 71 tau[4] 18.944 1.141 16.869 18.150 18.915 19.780 21.103 1.025 83 tau[5] 7.162 0.574 6.096 6.763 7.165 7.571 8.215 1.033 66 tau[6] 5.681 0.276 5.147 5.502 5.684 5.858 6.230 1.011 180 tau.bs[1] 13.904 5.090 6.103 10.147 13.225 16.600 26.028 1.000 600 tau.bs[2] 11.369 3.897 4.788 8.733 10.910 13.515 20.401 1.002 600 tau.bs[3] 15.314 4.739 7.452 12.007 14.895 17.915 25.905 1.008 220 tau.bs[4] 143.043 52.950 65.670 106.075 133.000 173.475 262.536 1.014 140 tau.bs[5] 47.581 22.868 16.515 31.290 43.315 59.337 102.615 1.001 600 tau.bs[6] 16.352 5.695 7.436 12.467 15.405 19.467 31.109 1.005 600 tau.err[1] 0.661 0.257 0.273 0.421 0.682 0.869 1.102 1.064 97 tau.err[2] 1.465 0.301 1.069 1.246 1.410 1.602 2.325 1.145 24 tau.err[3] 0.941 0.918 0.032 0.291 0.640 1.370 3.185 0.999 600 tolerancy[1] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[2] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[3] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[4] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[5] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[6] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[7] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[8] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[9] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[10] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[11] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[12] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[13] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[14] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[15] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[16] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[17] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[18] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[19] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[20] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[21] 0.998 0.041 1.000 1.000 1.000 1.000 1.000 1.291 600 tolerancy[22] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[23] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[24] 0.995 0.071 1.000 1.000 1.000 1.000 1.000 1.133 600 tolerancy[25] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[26] 0.998 0.041 1.000 1.000 1.000 1.000 1.000 1.291 600 tolerancy[27] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 tolerancy[28] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 tolerancy[29] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 deviance 13799.100 976.937 11739.750 13197.499 13690.000 14610.000 15690.999 1.113 24 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 = 4706.9 and DIC = 18505.9 DIC is an estimate of expected predictive error (lower deviance is better).