Using valentetree.nex

gamma.rate.resid:     1 
gamma.shape.resid:    1 
gamma.rate.species:   1 
gamma.shape.species:  1 
beta.par:             6 
max.r:                0.5 

Inference for Bugs model at "traits-environment-with-phylo.txt", fit using jags,
 5 chains, each with 25000 iterations (first 5000 discarded), n.thin = 25
 n.sims = 4000 iterations saved
                    mu.vect sd.vect     2.5%      25%      50%      75%    97.5%  Rhat n.eff
Sigma.resid[1,1]      0.285   0.018    0.253    0.273    0.285    0.297    0.323 1.001  4000
Sigma.resid[2,1]      0.010   0.018   -0.024   -0.002    0.010    0.022    0.045 1.001  4000
Sigma.resid[3,1]      0.039   0.010    0.020    0.032    0.039    0.046    0.059 1.002  2600
Sigma.resid[4,1]     -0.124   0.012   -0.147   -0.132   -0.125   -0.116   -0.102 1.001  4000
Sigma.resid[1,2]      0.010   0.018   -0.024   -0.002    0.010    0.022    0.045 1.001  4000
Sigma.resid[2,2]      0.585   0.038    0.514    0.559    0.583    0.609    0.665 1.002  2300
Sigma.resid[3,2]     -0.004   0.014   -0.031   -0.014   -0.004    0.006    0.025 1.001  4000
Sigma.resid[4,2]      0.028   0.019   -0.010    0.015    0.028    0.041    0.066 1.002  1500
Sigma.resid[1,3]      0.039   0.010    0.020    0.032    0.039    0.046    0.059 1.002  2600
Sigma.resid[2,3]     -0.004   0.014   -0.031   -0.014   -0.004    0.006    0.025 1.001  4000
Sigma.resid[3,3]      0.187   0.012    0.165    0.178    0.186    0.195    0.212 1.001  4000
Sigma.resid[4,3]     -0.012   0.011   -0.034   -0.019   -0.012   -0.005    0.010 1.001  4000
Sigma.resid[1,4]     -0.124   0.012   -0.147   -0.132   -0.125   -0.116   -0.102 1.001  4000
Sigma.resid[2,4]      0.028   0.019   -0.010    0.015    0.028    0.041    0.066 1.002  1500
Sigma.resid[3,4]     -0.012   0.011   -0.034   -0.019   -0.012   -0.005    0.010 1.001  4000
Sigma.resid[4,4]      0.337   0.021    0.297    0.322    0.336    0.351    0.381 1.001  3500
Sigma.species[1,1]   24.300   5.737   15.057   20.176   23.535   27.701   37.080 1.001  4000
Sigma.species[2,1]   -0.901   1.951   -4.798   -2.189   -0.903    0.364    3.010 1.001  2800
Sigma.species[3,1]    0.824   2.753   -4.460   -1.027    0.826    2.574    6.535 1.001  3200
Sigma.species[4,1]   -2.240   2.074   -6.380   -3.598   -2.257   -0.882    1.955 1.001  4000
Sigma.species[1,2]   -0.901   1.951   -4.798   -2.189   -0.903    0.364    3.010 1.001  2800
Sigma.species[2,2]   12.587   3.727    6.864   10.073   12.048   14.565   21.364 1.001  4000
Sigma.species[3,2]   -2.963   1.960   -6.915   -4.219   -3.004   -1.731    0.997 1.001  2900
Sigma.species[4,2]    1.264   1.595   -1.950    0.215    1.271    2.292    4.427 1.001  4000
Sigma.species[1,3]    0.824   2.753   -4.460   -1.027    0.826    2.574    6.535 1.001  3200
Sigma.species[2,3]   -2.963   1.960   -6.915   -4.219   -3.004   -1.731    0.997 1.001  2900
Sigma.species[3,3]   28.590   6.117   18.896   24.127   27.896   32.179   42.409 1.001  4000
Sigma.species[4,3]   -0.530   2.275   -5.113   -2.049   -0.560    0.981    3.915 1.001  4000
Sigma.species[1,4]   -2.240   2.074   -6.380   -3.598   -2.257   -0.882    1.955 1.001  4000
Sigma.species[2,4]    1.264   1.595   -1.950    0.215    1.271    2.292    4.427 1.001  4000
Sigma.species[3,4]   -0.530   2.275   -5.113   -2.049   -0.560    0.981    3.915 1.001  4000
Sigma.species[4,4]   16.291   3.991   10.078   13.434   15.784   18.646   25.528 1.001  4000
beta.cdd[1]           0.087   0.055   -0.018    0.048    0.086    0.124    0.198 1.001  3800
beta.cdd[2]          -0.236   0.077   -0.387   -0.288   -0.234   -0.185   -0.087 1.002  1600
beta.cdd[3]          -0.035   0.045   -0.121   -0.065   -0.035   -0.006    0.056 1.001  4000
beta.cdd[4]           0.090   0.059   -0.025    0.051    0.089    0.128    0.209 1.004   950
beta.elev[1]         -0.214   0.108   -0.424   -0.290   -0.213   -0.139   -0.005 1.002  1700
beta.elev[2]         -0.279   0.133   -0.544   -0.367   -0.278   -0.190   -0.022 1.002  1400
beta.elev[3]         -0.007   0.090   -0.185   -0.068   -0.006    0.054    0.167 1.002  2100
beta.elev[4]          0.072   0.110   -0.140   -0.001    0.072    0.148    0.286 1.003  1300
beta.inso[1]         -0.053   0.056   -0.163   -0.090   -0.053   -0.015    0.056 1.002  2100
beta.inso[2]          0.014   0.073   -0.134   -0.035    0.014    0.063    0.156 1.001  3400
beta.inso[3]          0.025   0.047   -0.071   -0.007    0.025    0.057    0.115 1.001  4000
beta.inso[4]          0.009   0.060   -0.113   -0.031    0.011    0.050    0.126 1.002  1800
beta.map[1]          -0.427   0.083   -0.587   -0.484   -0.429   -0.372   -0.265 1.002  2400
beta.map[2]          -0.263   0.108   -0.471   -0.337   -0.261   -0.192   -0.052 1.002  2300
beta.map[3]           0.172   0.067    0.042    0.128    0.172    0.216    0.304 1.001  4000
beta.map[4]           0.161   0.086   -0.004    0.103    0.161    0.220    0.330 1.001  3100
beta.mat[1]           0.135   0.107   -0.078    0.062    0.134    0.208    0.340 1.001  3500
beta.mat[2]          -0.503   0.145   -0.795   -0.597   -0.502   -0.406   -0.218 1.004   950
beta.mat[3]          -0.051   0.089   -0.223   -0.113   -0.051    0.009    0.121 1.002  1500
beta.mat[4]           0.210   0.110   -0.002    0.135    0.211    0.284    0.422 1.003  1100
beta.ratio[1]         0.457   0.076    0.306    0.407    0.457    0.507    0.604 1.002  2400
beta.ratio[2]        -0.069   0.102   -0.274   -0.140   -0.069    0.002    0.127 1.002  2000
beta.ratio[3]        -0.209   0.063   -0.333   -0.252   -0.208   -0.167   -0.087 1.002  1600
beta.ratio[4]        -0.142   0.080   -0.299   -0.197   -0.140   -0.087    0.013 1.003  1100
mu[1,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[2,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[3,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[4,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[5,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[6,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[7,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[8,1]              -0.999   0.189   -1.363   -1.129   -1.003   -0.869   -0.633 1.001  2800
mu[9,1]              -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[10,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[11,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[12,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[13,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[14,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[15,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[16,1]             -1.601   0.188   -1.969   -1.730   -1.599   -1.472   -1.235 1.000  4000
mu[17,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[18,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[19,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[20,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[21,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[22,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[23,1]              0.269   0.152   -0.030    0.166    0.271    0.372    0.572 1.001  4000
mu[24,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[25,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[26,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[27,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[28,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[29,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[30,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[31,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[32,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[33,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[34,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[35,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[36,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[37,1]             -0.826   0.184   -1.189   -0.950   -0.827   -0.703   -0.473 1.001  4000
mu[38,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[39,1]             -0.854   0.142   -1.128   -0.953   -0.853   -0.757   -0.586 1.001  4000
mu[40,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[41,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[42,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[43,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[44,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[45,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[46,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[47,1]              0.233   0.183   -0.122    0.111    0.230    0.360    0.589 1.001  4000
mu[48,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[49,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[50,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[51,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[52,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[53,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[54,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[55,1]              1.031   0.134    0.763    0.940    1.031    1.125    1.280 1.001  4000
mu[56,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[57,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[58,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[59,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[60,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[61,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[62,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[63,1]              0.985   0.148    0.698    0.884    0.984    1.083    1.276 1.001  4000
mu[64,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[65,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[66,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[67,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[68,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[69,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[70,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[71,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[72,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[73,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[74,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[75,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[76,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[77,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[78,1]             -0.021   0.128   -0.276   -0.108   -0.022    0.067    0.221 1.001  4000
mu[79,1]             -0.008   0.146   -0.304   -0.102   -0.011    0.091    0.281 1.001  4000
mu[80,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[81,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[82,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[83,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[84,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[85,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[86,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[87,1]             -1.656   0.137   -1.929   -1.751   -1.654   -1.563   -1.387 1.001  4000
mu[88,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[89,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[90,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[91,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[92,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[93,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[94,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[95,1]             -1.403   0.186   -1.770   -1.530   -1.401   -1.275   -1.038 1.001  4000
mu[96,1]             -0.102   0.250   -0.603   -0.273   -0.106    0.068    0.383 1.002  2300
mu[97,1]             -0.102   0.250   -0.603   -0.273   -0.106    0.068    0.383 1.002  2300
mu[98,1]             -0.102   0.250   -0.603   -0.273   -0.106    0.068    0.383 1.002  2300
mu[99,1]             -0.102   0.250   -0.603   -0.273   -0.106    0.068    0.383 1.002  2300
mu[100,1]             0.798   0.465   -0.129    0.480    0.795    1.120    1.672 1.001  3700
mu[101,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[102,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[103,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[104,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[105,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[106,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[107,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[108,1]            -0.441   0.148   -0.724   -0.542   -0.443   -0.341   -0.145 1.001  2800
mu[109,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[110,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[111,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[112,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[113,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[114,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[115,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[116,1]             0.914   0.149    0.619    0.814    0.915    1.016    1.199 1.001  4000
mu[117,1]             0.644   0.141    0.367    0.551    0.646    0.741    0.917 1.001  4000
mu[118,1]             0.644   0.141    0.367    0.551    0.646    0.741    0.917 1.001  4000
mu[119,1]             0.644   0.141    0.367    0.551    0.646    0.741    0.917 1.001  4000
mu[120,1]             0.644   0.141    0.367    0.551    0.646    0.741    0.917 1.001  4000
mu[121,1]             0.644   0.141    0.367    0.551    0.646    0.741    0.917 1.001  4000
mu[122,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[123,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[124,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[125,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[126,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[127,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[128,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[129,1]             0.702   0.143    0.415    0.610    0.701    0.798    0.987 1.002  2100
mu[130,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[131,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[132,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[133,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[134,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[135,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[136,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[137,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[138,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[139,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[140,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[141,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[142,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[143,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[144,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[145,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[146,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[147,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[148,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[149,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[150,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[151,1]            -0.739   0.139   -1.013   -0.833   -0.738   -0.646   -0.458 1.003  1100
mu[152,1]            -0.947   0.140   -1.221   -1.039   -0.947   -0.852   -0.674 1.001  3100
mu[153,1]            -0.375   0.135   -0.639   -0.466   -0.377   -0.284   -0.109 1.001  4000
mu[154,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[155,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[156,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[157,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[158,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[159,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[160,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[161,1]            -0.238   0.096   -0.420   -0.303   -0.239   -0.172   -0.044 1.001  3200
mu[162,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[163,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[164,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[165,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[166,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[167,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[168,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[169,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[170,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[171,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[172,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[173,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[174,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[175,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[176,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[177,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[178,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[179,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[180,1]            -0.007   0.132   -0.264   -0.096   -0.005    0.081    0.247 1.001  4000
mu[181,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[182,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[183,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[184,1]             0.028   0.181   -0.323   -0.092    0.027    0.147    0.385 1.001  4000
mu[185,1]            -0.534   0.180   -0.888   -0.657   -0.531   -0.411   -0.182 1.001  4000
mu[186,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[187,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[188,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[189,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[190,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[191,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[192,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[193,1]            -0.706   0.148   -1.000   -0.803   -0.708   -0.606   -0.418 1.001  3400
mu[194,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[195,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[196,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[197,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[198,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[199,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[200,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[201,1]             1.081   0.134    0.818    0.987    1.079    1.172    1.341 1.001  4000
mu[202,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[203,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[204,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[205,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[206,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[207,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[208,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[209,1]            -0.124   0.113   -0.346   -0.200   -0.123   -0.049    0.093 1.003  1300
mu[210,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[211,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[212,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[213,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[214,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[215,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[216,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[217,1]            -0.299   0.186   -0.665   -0.425   -0.297   -0.174    0.068 1.002  2100
mu[218,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[219,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[220,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[221,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[222,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[223,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[224,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[225,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[226,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[227,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[228,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[229,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[230,1]            -0.100   0.117   -0.334   -0.178   -0.100   -0.021    0.125 1.002  2600
mu[231,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[232,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[233,1]             1.556   0.133    1.291    1.471    1.555    1.643    1.817 1.001  4000
mu[234,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[235,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[236,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[237,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[238,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[239,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[240,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[241,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[242,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[243,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[244,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[245,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[246,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[247,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[248,1]             0.044   0.186   -0.320   -0.081    0.046    0.166    0.413 1.001  3000
mu[249,1]            -0.083   0.104   -0.282   -0.152   -0.083   -0.014    0.120 1.001  4000
mu[250,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[251,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[252,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[253,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[254,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[255,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[256,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[257,1]             0.084   0.104   -0.114    0.014    0.082    0.155    0.288 1.001  4000
mu[258,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[259,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[260,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[261,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[262,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[263,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[264,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[265,1]             0.279   0.183   -0.081    0.156    0.278    0.402    0.637 1.001  3800
mu[266,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[267,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[268,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[269,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[270,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[271,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[272,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[273,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[274,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[275,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[276,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[277,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[278,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[279,1]             1.400   0.132    1.145    1.312    1.396    1.487    1.666 1.001  4000
mu[280,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[281,1]            -0.438   0.145   -0.717   -0.538   -0.438   -0.338   -0.153 1.001  2900
mu[282,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[283,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[284,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[285,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[286,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[287,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[288,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[289,1]             0.265   0.150   -0.029    0.163    0.264    0.368    0.553 1.001  4000
mu[290,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[291,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[292,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[293,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[294,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[295,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[296,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[297,1]            -0.312   0.146   -0.598   -0.409   -0.309   -0.215   -0.023 1.001  4000
mu[298,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[299,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[300,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[301,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[302,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[303,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[304,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[305,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[306,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[307,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[308,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[309,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[310,1]            -0.322   0.183   -0.688   -0.444   -0.319   -0.201    0.029 1.001  4000
mu[311,1]             0.515   0.142    0.229    0.422    0.516    0.609    0.790 1.002  1800
mu[312,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[313,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[314,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[315,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[316,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[317,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[318,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[319,1]            -0.438   0.184   -0.793   -0.564   -0.438   -0.312   -0.074 1.001  4000
mu[320,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[321,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[322,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[323,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[324,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[325,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[326,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[327,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[328,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[329,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[330,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[331,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[332,1]             0.469   0.150    0.169    0.369    0.470    0.572    0.763 1.001  4000
mu[333,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[334,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[335,1]             0.575   0.151    0.285    0.469    0.575    0.679    0.867 1.001  4000
mu[336,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[337,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[338,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[339,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[340,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[341,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[342,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[343,1]            -1.029   0.182   -1.393   -1.151   -1.029   -0.902   -0.680 1.001  3500
mu[344,1]             0.301   0.126    0.060    0.215    0.300    0.387    0.551 1.002  2400
mu[345,1]             0.301   0.126    0.060    0.215    0.300    0.387    0.551 1.002  2400
mu[346,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[347,1]             0.301   0.126    0.060    0.215    0.300    0.387    0.551 1.002  2400
mu[348,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[349,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[350,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[351,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[352,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[353,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[354,1]            -0.101   0.134   -0.366   -0.189   -0.100   -0.013    0.163 1.001  3700
mu[355,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[356,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[357,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[358,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[359,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[360,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[361,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[362,1]            -1.505   0.136   -1.779   -1.596   -1.503   -1.415   -1.233 1.001  4000
mu[363,1]             0.893   0.228    0.440    0.739    0.895    1.046    1.339 1.001  4000
mu[364,1]             0.893   0.228    0.440    0.739    0.895    1.046    1.339 1.001  4000
mu[365,1]             0.893   0.228    0.440    0.739    0.895    1.046    1.339 1.001  4000
mu[366,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[367,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[368,1]             0.893   0.228    0.440    0.739    0.895    1.046    1.339 1.001  4000
mu[369,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[370,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[371,1]             0.893   0.228    0.440    0.739    0.895    1.046    1.339 1.001  4000
mu[372,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[373,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[374,1]            -0.608   0.140   -0.883   -0.700   -0.610   -0.514   -0.336 1.003  1200
mu[375,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[376,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[377,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[378,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[379,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[380,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[381,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[382,1]             0.885   0.142    0.609    0.788    0.885    0.980    1.166 1.001  4000
mu[383,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[384,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[385,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[386,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[387,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[388,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[389,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[390,1]             0.967   0.135    0.697    0.878    0.966    1.058    1.233 1.001  4000
mu[391,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[392,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[393,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[394,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[395,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[396,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[397,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[398,1]             0.227   0.182   -0.120    0.107    0.226    0.355    0.573 1.002  1800
mu[399,1]             0.338   0.169    0.002    0.227    0.338    0.451    0.671 1.001  4000
mu[400,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[401,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[402,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[403,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[404,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[405,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[406,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[407,1]             2.828   0.185    2.459    2.703    2.829    2.951    3.189 1.001  4000
mu[408,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[409,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[410,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[411,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[412,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[413,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[414,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[415,1]             0.875   0.184    0.520    0.752    0.874    0.999    1.239 1.001  4000
mu[416,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[417,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[418,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[419,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[420,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[421,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[422,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[423,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[424,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[425,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[426,1]             0.326   0.186   -0.035    0.201    0.325    0.452    0.694 1.001  4000
mu[427,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[428,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[429,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[430,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[431,1]             0.353   0.179    0.001    0.230    0.354    0.473    0.704 1.001  4000
mu[432,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[433,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[434,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[435,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[436,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[437,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[438,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[439,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[440,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[441,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[442,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[443,1]             1.072   0.145    0.783    0.976    1.076    1.168    1.354 1.001  4000
mu[444,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[445,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[446,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[447,1]            -0.798   0.184   -1.160   -0.923   -0.804   -0.673   -0.446 1.001  4000
mu[448,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[449,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[450,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[451,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[452,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[453,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[454,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[455,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[456,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[457,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[458,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[459,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[460,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[461,1]            -0.356   0.107   -0.567   -0.427   -0.357   -0.284   -0.148 1.002  2200
mu[462,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[463,1]            -0.315   0.093   -0.490   -0.379   -0.316   -0.253   -0.131 1.001  4000
mu[464,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[465,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[466,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[467,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[468,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[469,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[470,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[471,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[472,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[473,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[474,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[475,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[476,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[477,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[478,1]             0.238   0.184   -0.117    0.112    0.238    0.360    0.590 1.001  3200
mu[479,1]            -0.444   0.143   -0.717   -0.538   -0.448   -0.349   -0.159 1.001  3900
mu[480,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[481,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[482,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[483,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[484,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[485,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[486,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[487,1]            -0.571   0.149   -0.863   -0.673   -0.569   -0.469   -0.278 1.002  2500
mu[488,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[489,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[490,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[491,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[492,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[493,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[494,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[495,1]             0.623   0.109    0.412    0.548    0.622    0.698    0.830 1.001  4000
mu[496,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[497,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[498,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[499,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[500,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[501,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[502,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[503,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[504,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[505,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[506,1]             0.401   0.143    0.127    0.301    0.402    0.500    0.679 1.002  1700
mu[507,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[508,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[509,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[510,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[511,1]             0.583   0.122    0.350    0.500    0.582    0.664    0.823 1.001  2700
mu[512,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[513,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[514,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[515,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[516,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[517,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[518,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[519,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[520,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[521,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[522,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[523,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[524,1]            -0.719   0.186   -1.086   -0.840   -0.716   -0.594   -0.352 1.002  2500
mu[525,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[526,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[527,1]            -1.668   0.153   -1.968   -1.773   -1.666   -1.565   -1.372 1.001  4000
mu[528,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[529,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[530,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[531,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[532,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[533,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[534,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[535,1]             0.609   0.141    0.330    0.516    0.609    0.706    0.884 1.001  4000
mu[1,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[2,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[3,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[4,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[5,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[6,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[7,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[8,2]              -0.211   0.264   -0.732   -0.384   -0.210   -0.033    0.310 1.001  4000
mu[9,2]              -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[10,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[11,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[12,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[13,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[14,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[15,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[16,2]             -0.376   0.256   -0.873   -0.543   -0.379   -0.202    0.129 1.001  4000
mu[17,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[18,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[19,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[20,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[21,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[22,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[23,2]              0.497   0.208    0.083    0.355    0.498    0.639    0.903 1.001  4000
mu[24,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[25,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[26,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[27,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[28,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[29,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[30,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[31,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[32,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[33,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[34,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[35,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[36,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[37,2]              0.020   0.253   -0.471   -0.155    0.025    0.190    0.499 1.000  4000
mu[38,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[39,2]             -0.402   0.199   -0.797   -0.534   -0.397   -0.269   -0.024 1.001  4000
mu[40,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[41,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[42,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[43,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[44,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[45,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[46,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[47,2]             -0.134   0.244   -0.608   -0.298   -0.131    0.027    0.336 1.001  4000
mu[48,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[49,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[50,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[51,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[52,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[53,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[54,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[55,2]              0.079   0.193   -0.298   -0.050    0.078    0.206    0.464 1.001  4000
mu[56,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[57,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[58,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[59,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[60,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[61,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[62,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[63,2]             -0.676   0.209   -1.091   -0.819   -0.676   -0.530   -0.258 1.001  3100
mu[64,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[65,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[66,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[67,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[68,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[69,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[70,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[71,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[72,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[73,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[74,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[75,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[76,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[77,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[78,2]             -0.265   0.179   -0.617   -0.379   -0.266   -0.147    0.085 1.001  2900
mu[79,2]             -0.668   0.201   -1.057   -0.804   -0.671   -0.528   -0.274 1.002  2100
mu[80,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[81,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[82,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[83,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[84,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[85,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[86,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[87,2]             -0.214   0.185   -0.579   -0.337   -0.215   -0.087    0.157 1.002  2200
mu[88,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[89,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[90,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[91,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[92,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[93,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[94,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[95,2]             -0.179   0.258   -0.694   -0.348   -0.176   -0.005    0.313 1.001  4000
mu[96,2]              0.445   0.321   -0.167    0.227    0.441    0.663    1.090 1.002  2400
mu[97,2]              0.445   0.321   -0.167    0.227    0.441    0.663    1.090 1.002  2400
mu[98,2]              0.445   0.321   -0.167    0.227    0.441    0.663    1.090 1.002  2400
mu[99,2]              0.445   0.321   -0.167    0.227    0.441    0.663    1.090 1.002  2400
mu[100,2]            -0.172   0.523   -1.188   -0.526   -0.171    0.183    0.848 1.002  2600
mu[101,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[102,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[103,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[104,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[105,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[106,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[107,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[108,2]             0.632   0.198    0.230    0.498    0.634    0.763    1.024 1.002  4000
mu[109,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[110,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[111,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[112,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[113,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[114,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[115,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[116,2]             0.032   0.203   -0.368   -0.105    0.028    0.168    0.426 1.001  4000
mu[117,2]            -0.706   0.196   -1.094   -0.839   -0.706   -0.573   -0.320 1.002  1800
mu[118,2]            -0.706   0.196   -1.094   -0.839   -0.706   -0.573   -0.320 1.002  1800
mu[119,2]            -0.706   0.196   -1.094   -0.839   -0.706   -0.573   -0.320 1.002  1800
mu[120,2]            -0.706   0.196   -1.094   -0.839   -0.706   -0.573   -0.320 1.002  1800
mu[121,2]            -0.706   0.196   -1.094   -0.839   -0.706   -0.573   -0.320 1.002  1800
mu[122,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[123,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[124,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[125,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[126,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[127,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[128,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[129,2]             2.086   0.204    1.689    1.946    2.086    2.224    2.488 1.001  3000
mu[130,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[131,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[132,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[133,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[134,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[135,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[136,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[137,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[138,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[139,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[140,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[141,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[142,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[143,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[144,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[145,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[146,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[147,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[148,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[149,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[150,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[151,2]            -0.424   0.193   -0.800   -0.556   -0.426   -0.295   -0.042 1.001  4000
mu[152,2]            -0.356   0.192   -0.722   -0.485   -0.355   -0.227    0.011 1.002  2500
mu[153,2]             0.151   0.193   -0.227    0.025    0.151    0.282    0.527 1.001  4000
mu[154,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[155,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[156,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[157,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[158,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[159,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[160,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[161,2]            -0.096   0.136   -0.366   -0.186   -0.097   -0.005    0.168 1.003  1100
mu[162,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[163,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[164,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[165,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[166,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[167,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[168,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[169,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[170,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[171,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[172,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[173,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[174,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[175,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[176,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[177,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[178,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[179,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[180,2]            -0.646   0.177   -0.994   -0.767   -0.643   -0.529   -0.304 1.002  1800
mu[181,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[182,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[183,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[184,2]            -0.536   0.247   -1.027   -0.699   -0.536   -0.367   -0.058 1.001  4000
mu[185,2]            -0.502   0.245   -0.976   -0.665   -0.507   -0.332   -0.018 1.002  2100
mu[186,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[187,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[188,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[189,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[190,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[191,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[192,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[193,2]            -0.573   0.208   -0.985   -0.716   -0.570   -0.433   -0.170 1.001  4000
mu[194,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[195,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[196,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[197,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[198,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[199,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[200,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[201,2]             0.274   0.179   -0.081    0.153    0.276    0.396    0.621 1.002  2000
mu[202,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[203,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[204,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[205,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[206,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[207,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[208,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[209,2]             0.456   0.159    0.147    0.349    0.458    0.564    0.768 1.001  3600
mu[210,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[211,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[212,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[213,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[214,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[215,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[216,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[217,2]            -0.421   0.253   -0.919   -0.597   -0.419   -0.260    0.087 1.001  4000
mu[218,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[219,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[220,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[221,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[222,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[223,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[224,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[225,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[226,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[227,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[228,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[229,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[230,2]             0.117   0.163   -0.206    0.005    0.114    0.227    0.433 1.001  3600
mu[231,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[232,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[233,2]            -0.604   0.186   -0.965   -0.730   -0.602   -0.481   -0.243 1.001  4000
mu[234,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[235,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[236,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[237,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[238,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[239,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[240,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[241,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[242,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[243,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[244,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[245,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[246,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[247,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[248,2]            -0.450   0.242   -0.938   -0.612   -0.446   -0.291    0.023 1.001  4000
mu[249,2]            -0.371   0.147   -0.658   -0.471   -0.369   -0.270   -0.090 1.001  3800
mu[250,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[251,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[252,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[253,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[254,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[255,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[256,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[257,2]            -0.100   0.144   -0.384   -0.197   -0.098   -0.005    0.175 1.001  4000
mu[258,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[259,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[260,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[261,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[262,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[263,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[264,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[265,2]             0.107   0.238   -0.375   -0.054    0.113    0.270    0.560 1.002  1700
mu[266,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[267,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[268,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[269,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[270,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[271,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[272,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[273,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[274,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[275,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[276,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[277,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[278,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[279,2]            -0.426   0.185   -0.786   -0.551   -0.427   -0.300   -0.056 1.001  4000
mu[280,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[281,2]            -0.745   0.197   -1.125   -0.879   -0.745   -0.609   -0.356 1.002  1500
mu[282,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[283,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[284,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[285,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[286,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[287,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[288,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[289,2]            -0.334   0.205   -0.744   -0.464   -0.335   -0.197    0.063 1.002  2000
mu[290,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[291,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[292,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[293,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[294,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[295,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[296,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[297,2]            -0.455   0.207   -0.859   -0.598   -0.457   -0.313   -0.055 1.003  1100
mu[298,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[299,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[300,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[301,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[302,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[303,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[304,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[305,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[306,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[307,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[308,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[309,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[310,2]             1.980   0.255    1.479    1.810    1.981    2.152    2.484 1.001  4000
mu[311,2]             1.850   0.202    1.451    1.713    1.850    1.983    2.248 1.002  2500
mu[312,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[313,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[314,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[315,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[316,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[317,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[318,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[319,2]            -0.495   0.250   -0.987   -0.665   -0.496   -0.324    0.000 1.001  4000
mu[320,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[321,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[322,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[323,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[324,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[325,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[326,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[327,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[328,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[329,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[330,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[331,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[332,2]            -0.384   0.206   -0.792   -0.521   -0.383   -0.245    0.015 1.001  4000
mu[333,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[334,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[335,2]             0.796   0.212    0.382    0.648    0.799    0.937    1.199 1.001  4000
mu[336,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[337,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[338,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[339,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[340,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[341,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[342,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[343,2]             0.104   0.249   -0.388   -0.056    0.101    0.270    0.595 1.001  3600
mu[344,2]             0.117   0.166   -0.201    0.002    0.117    0.233    0.440 1.002  1900
mu[345,2]             0.117   0.166   -0.201    0.002    0.117    0.233    0.440 1.002  1900
mu[346,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[347,2]             0.117   0.166   -0.201    0.002    0.117    0.233    0.440 1.002  1900
mu[348,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[349,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[350,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[351,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[352,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[353,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[354,2]             0.255   0.190   -0.119    0.130    0.252    0.387    0.620 1.001  3800
mu[355,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[356,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[357,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[358,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[359,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[360,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[361,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[362,2]            -0.120   0.180   -0.469   -0.238   -0.119    0.002    0.232 1.001  2800
mu[363,2]            -0.544   0.293   -1.115   -0.742   -0.544   -0.348    0.044 1.001  3500
mu[364,2]            -0.544   0.293   -1.115   -0.742   -0.544   -0.348    0.044 1.001  3500
mu[365,2]            -0.544   0.293   -1.115   -0.742   -0.544   -0.348    0.044 1.001  3500
mu[366,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[367,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[368,2]            -0.544   0.293   -1.115   -0.742   -0.544   -0.348    0.044 1.001  3500
mu[369,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[370,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[371,2]            -0.544   0.293   -1.115   -0.742   -0.544   -0.348    0.044 1.001  3500
mu[372,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[373,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[374,2]            -0.448   0.195   -0.818   -0.582   -0.448   -0.317   -0.068 1.001  4000
mu[375,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[376,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[377,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[378,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[379,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[380,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[381,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[382,2]            -0.414   0.196   -0.796   -0.543   -0.414   -0.283   -0.033 1.001  2700
mu[383,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[384,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[385,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[386,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[387,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[388,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[389,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[390,2]             1.010   0.188    0.636    0.882    1.010    1.140    1.383 1.001  4000
mu[391,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[392,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[393,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[394,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[395,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[396,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[397,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[398,2]             0.326   0.255   -0.182    0.157    0.326    0.497    0.822 1.001  4000
mu[399,2]             0.059   0.232   -0.399   -0.098    0.057    0.210    0.518 1.001  4000
mu[400,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[401,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[402,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[403,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[404,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[405,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[406,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[407,2]            -0.337   0.246   -0.810   -0.500   -0.339   -0.166    0.141 1.001  4000
mu[408,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[409,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[410,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[411,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[412,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[413,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[414,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[415,2]             1.636   0.253    1.146    1.464    1.634    1.805    2.139 1.000  4000
mu[416,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[417,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[418,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[419,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[420,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[421,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[422,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[423,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[424,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[425,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[426,2]            -0.019   0.250   -0.491   -0.187   -0.023    0.143    0.501 1.001  3300
mu[427,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[428,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[429,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[430,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[431,2]             0.827   0.241    0.356    0.663    0.827    0.989    1.302 1.001  4000
mu[432,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[433,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[434,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[435,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[436,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[437,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[438,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[439,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[440,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[441,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[442,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[443,2]            -0.391   0.201   -0.786   -0.526   -0.395   -0.253   -0.007 1.001  4000
mu[444,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[445,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[446,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[447,2]            -0.338   0.241   -0.801   -0.499   -0.342   -0.178    0.144 1.001  4000
mu[448,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[449,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[450,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[451,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[452,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[453,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[454,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[455,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[456,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[457,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[458,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[459,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[460,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[461,2]             0.531   0.153    0.235    0.429    0.531    0.633    0.832 1.001  4000
mu[462,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[463,2]             0.061   0.128   -0.194   -0.025    0.062    0.149    0.309 1.003  1400
mu[464,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[465,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[466,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[467,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[468,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[469,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[470,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[471,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[472,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[473,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[474,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[475,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[476,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[477,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[478,2]            -0.046   0.245   -0.539   -0.209   -0.048    0.119    0.426 1.001  3100
mu[479,2]             0.046   0.199   -0.343   -0.087    0.048    0.175    0.444 1.001  4000
mu[480,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[481,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[482,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[483,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[484,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[485,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[486,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[487,2]            -0.609   0.206   -0.997   -0.752   -0.610   -0.467   -0.199 1.001  4000
mu[488,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[489,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[490,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[491,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[492,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[493,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[494,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[495,2]             0.357   0.146    0.073    0.260    0.357    0.455    0.639 1.001  3900
mu[496,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[497,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[498,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[499,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[500,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[501,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[502,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[503,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[504,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[505,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[506,2]            -0.213   0.190   -0.597   -0.338   -0.213   -0.086    0.161 1.002  2400
mu[507,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[508,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[509,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[510,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[511,2]             0.827   0.169    0.491    0.717    0.829    0.943    1.152 1.001  4000
mu[512,2]             0.336   0.261   -0.182    0.163    0.337    0.518    0.849 1.001  3600
mu[513,2]             0.336   0.261   -0.182    0.163    0.337    0.518    0.849 1.001  3600
mu[514,2]             0.017   0.212   -0.403   -0.125    0.016    0.160    0.435 1.001  4000
mu[515,2]             0.336   0.261   -0.182    0.163    0.337    0.518    0.849 1.001  3600
mu[516,2]             0.017   0.212   -0.403   -0.125    0.016    0.160    0.435 1.001  4000
mu[517,2]             0.336   0.261   -0.182    0.163    0.337    0.518    0.849 1.001  3600
mu[518,2]             0.017   0.212   -0.403   -0.125    0.016    0.160    0.435 1.001  4000
mu[519,2]             0.017   0.212   -0.403   -0.125    0.016    0.160    0.435 1.001  4000
mu[520,2]             0.017   0.212   -0.403   -0.125    0.016    0.160    0.435 1.001  4000
 [ reached getOption("max.print") -- omitted 1118 rows ]

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 = var(deviance)/2)
pD = 266.9 and DIC = -155.4
DIC is an estimate of expected predictive error (lower deviance is better).

 Dbar:  3510.764 
 Dhat:  3324.713 
 pD:    186.0508 
 DIC:   3696.815 
