Inference for Bugs model at "/home/kubo/public_html/ce/2008/car/model1.bug.txt", fit using WinBUGS,
 3 chains, each with 200 iterations (first 100 discarded)
 n.sims = 300 iterations saved
            mean    sd    2.5%     25%     50%     75%   97.5%  Rhat n.eff
beta       2.268 0.052   2.161   2.240   2.269   2.306   2.363 1.038    62
re[1]     -1.241 0.309  -1.942  -1.416  -1.228  -1.028  -0.681 1.022    93
re[2]     -1.086 0.247  -1.585  -1.263  -1.077  -0.910  -0.647 1.035    59
re[3]     -0.896 0.232  -1.361  -1.061  -0.880  -0.753  -0.423 1.053    46
re[4]     -0.596 0.196  -0.973  -0.746  -0.579  -0.455  -0.220 1.039    53
re[5]     -0.297 0.207  -0.716  -0.429  -0.312  -0.129   0.065 1.015   190
re[6]      0.035 0.198  -0.368  -0.097   0.044   0.164   0.404 1.027   140
re[7]      0.040 0.184  -0.313  -0.091   0.057   0.169   0.371 1.010   240
re[8]      0.177 0.180  -0.179   0.057   0.180   0.299   0.510 0.998   300
re[9]      0.190 0.177  -0.159   0.063   0.182   0.314   0.530 1.012   200
re[10]     0.242 0.161  -0.094   0.138   0.237   0.335   0.563 1.002   300
re[11]     0.426 0.166   0.127   0.310   0.424   0.543   0.771 1.009   180
re[12]     0.513 0.176   0.171   0.384   0.502   0.628   0.886 1.032   130
re[13]     0.496 0.177   0.191   0.372   0.493   0.619   0.855 1.011   180
re[14]     0.586 0.144   0.292   0.495   0.586   0.680   0.888 1.000   300
re[15]     0.594 0.145   0.345   0.493   0.585   0.694   0.897 1.004   260
re[16]     0.536 0.142   0.270   0.441   0.539   0.634   0.820 1.127    44
re[17]     0.426 0.169   0.047   0.323   0.450   0.526   0.750 1.014   130
re[18]     0.316 0.172  -0.023   0.187   0.317   0.427   0.651 1.017   100
re[19]     0.246 0.163  -0.087   0.132   0.260   0.376   0.503 1.024    80
re[20]     0.147 0.167  -0.189   0.039   0.141   0.261   0.500 1.002   300
re[21]     0.202 0.171  -0.149   0.095   0.211   0.314   0.513 1.014   110
re[22]     0.328 0.164   0.017   0.225   0.322   0.420   0.674 1.020    94
re[23]     0.422 0.164   0.116   0.308   0.417   0.534   0.749 1.035    56
re[24]     0.307 0.160   0.034   0.200   0.301   0.404   0.617 1.016   180
re[25]     0.307 0.167  -0.019   0.204   0.292   0.424   0.648 1.011   150
re[26]     0.420 0.173   0.092   0.299   0.424   0.531   0.762 1.008   160
re[27]     0.404 0.164   0.077   0.284   0.417   0.500   0.719 1.011   170
re[28]     0.403 0.158   0.090   0.291   0.409   0.515   0.698 1.040    64
re[29]     0.327 0.183  -0.059   0.218   0.326   0.439   0.676 1.077    31
re[30]     0.132 0.190  -0.231  -0.001   0.129   0.256   0.508 1.036    63
re[31]     0.040 0.175  -0.315  -0.079   0.049   0.148   0.386 1.001   300
re[32]     0.185 0.169  -0.100   0.071   0.167   0.296   0.529 1.016   160
re[33]     0.131 0.171  -0.199   0.018   0.125   0.248   0.456 1.013   190
re[34]     0.130 0.182  -0.248   0.037   0.132   0.237   0.461 1.017   110
re[35]     0.184 0.177  -0.151   0.074   0.179   0.301   0.515 1.018   110
re[36]     0.103 0.172  -0.265  -0.010   0.119   0.227   0.384 1.046    44
re[37]     0.245 0.180  -0.088   0.111   0.253   0.358   0.598 1.048    43
re[38]     0.297 0.176  -0.023   0.173   0.288   0.421   0.621 1.004   250
re[39]     0.290 0.175  -0.084   0.189   0.288   0.403   0.629 0.998   300
re[40]     0.254 0.174  -0.118   0.149   0.266   0.369   0.561 1.052    41
re[41]    -0.003 0.192  -0.357  -0.128   0.000   0.137   0.348 1.041    50
re[42]    -0.158 0.185  -0.509  -0.279  -0.155  -0.053   0.198 1.037    61
re[43]    -0.239 0.201  -0.593  -0.365  -0.242  -0.098   0.141 1.042    47
re[44]    -0.469 0.190  -0.858  -0.583  -0.457  -0.355  -0.114 1.042    61
re[45]    -0.573 0.195  -0.937  -0.711  -0.570  -0.436  -0.224 1.028    75
re[46]    -0.650 0.204  -1.057  -0.779  -0.652  -0.532  -0.212 1.014   110
re[47]    -0.727 0.214  -1.179  -0.874  -0.717  -0.570  -0.354 1.012   150
re[48]    -0.892 0.243  -1.327  -1.057  -0.916  -0.726  -0.398 1.013   130
re[49]    -1.062 0.302  -1.684  -1.238  -1.052  -0.861  -0.510 1.013   120
re[50]    -1.192 0.345  -1.888  -1.417  -1.211  -0.938  -0.560 1.018   120
tau       19.645 7.394   9.106  14.187  18.555  23.402  37.559 1.035    93
deviance 246.834 6.559 234.932 242.500 246.600 250.700 260.720 1.000   300

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 = 17.9 and DIC = 264.7
DIC is an estimate of expected predictive error (lower deviance is better).