  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810166
 1.11657
  [Note] Convergence Criterion: 0.655578.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.807775
 1.19848
  [Note] Convergence Criterion: 0.0288968.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.801477
 1.20974
  [Note] Convergence Criterion: 0.00314139.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.814074
 1.25737
  [Note] Convergence Criterion: 0.00612404.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.823345
 1.26626
  [Note] Convergence Criterion: 0.00132764.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.833545
 1.29405
  [Note] Convergence Criterion: 0.00251191.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.81979
1.25567
  [Note] Convergence Criterion: 0.00414933.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 9400.
  [Note] Parameter Estimates: 
0.823025
 1.26278
  [Note] Convergence Criterion: 0.000165076.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.808445
 1.12325
  [Note] Convergence Criterion: 0.697623.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.820851
 1.22233
  [Note] Convergence Criterion: 0.0298779.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
0.818181
 1.25068
  [Note] Convergence Criterion: 0.0049061.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 500.
  [Note] Parameter Estimates: 
0.814659
 1.12139
  [Note] Convergence Criterion: 0.662289.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.808784
 1.20671
  [Note] Convergence Criterion: 0.0356889.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1546.
  [Note] Parameter Estimates: 
0.817103
  1.2491
  [Note] Convergence Criterion: 0.00535501.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810924
 1.12136
  [Note] Convergence Criterion: 0.670036.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821669
  1.2273
  [Note] Convergence Criterion: 0.0335632.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 2663.
  [Note] Parameter Estimates: 
0.819348
 1.25075
  [Note] Convergence Criterion: 0.00341703.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 8277.
  [Note] Parameter Estimates: 
0.825168
 1.27138
  [Note] Convergence Criterion: 0.000994448.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.Monte Carlo error too big: increasing MCMC sample size.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
0.824445
  1.2667
  [Note] Convergence Criterion: 0.000112564.
  [Note] Stopping MCEM because maximum number of MCEM iterations
(maxIter=1) was reached
.  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810924
 1.12136
  [Note] Convergence Criterion: 0.670036.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821669
  1.2273
  [Note] Convergence Criterion: 0.0335632.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.81607
1.22712
  [Note] Convergence Criterion: 0.00119921.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821155
 1.26513
  [Note] Convergence Criterion: 0.00580125.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.829123
 1.27182
  [Note] Convergence Criterion: 0.00126258.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821642
 1.26467
  [Note] Convergence Criterion: 0.00117867.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.820103
   1.262
  [Note] Convergence Criterion: 0.000207131.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810924
 1.12136
  [Note] Convergence Criterion: 0.670036.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821669
  1.2273
  [Note] Convergence Criterion: 0.0335632.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.819486
 1.24728
  [Note] Convergence Criterion: 0.00296793.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.819365
 1.25064
  [Note] Convergence Criterion: 0.000266769.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810924
 1.12136
  [Note] Convergence Criterion: 0.670036.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821669
  1.2273
  [Note] Convergence Criterion: 0.0335632.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.819486
 1.24728
  [Note] Convergence Criterion: 0.00296793.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.819365
 1.25064
  [Note] Convergence Criterion: 0.000266769.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.826071
 1.27092
  [Note] Convergence Criterion: 0.00144698.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.824685
 1.27635
  [Note] Convergence Criterion: 0.000616001.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.825622
 1.27394
  [Note] Convergence Criterion: 0.000277843.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.833176
 1.29178
  [Note] Convergence Criterion: 0.00114422.
  [Note] Iteration Number: 9.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.824275
 1.28081
  [Note] Convergence Criterion: 0.00104714.
  [Note] Iteration Number: 10.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.824481
 1.26263
  [Note] Convergence Criterion: 0.00215988.
  [Note] Iteration Number: 11.
  [Note] Current number of MCMC iterations: 2000.
  [Note] Parameter Estimates: 
0.826653
 1.26951
  [Note] Convergence Criterion: 0.000385994.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810923
 1.12135
  [Note] Convergence Criterion: 0.670035.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821668
  1.2273
  [Note] Convergence Criterion: 0.0335653.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2516.
  [Note] Parameter Estimates: 
0.819206
 1.24929
  [Note] Convergence Criterion: 0.00320976.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.810923
 1.12135
  [Note] Convergence Criterion: 0.670035.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.821668
  1.2273
  [Note] Convergence Criterion: 0.0335653.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2516.
  [Note] Parameter Estimates: 
0.819206
 1.24929
  [Note] Convergence Criterion: 0.00320976.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.808446
 1.12325
  [Note] Convergence Criterion: 0.697623.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.820852
 1.22233
  [Note] Convergence Criterion: 0.0298778.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
0.818182
 1.25068
  [Note] Convergence Criterion: 0.0049061.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.808444
 1.12325
  [Note] Convergence Criterion: 0.697622.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.820849
 1.22233
  [Note] Convergence Criterion: 0.0298787.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
0.818185
 1.25068
  [Note] Convergence Criterion: 0.00490643.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.808444
 1.12325
  [Note] Convergence Criterion: 0.697622.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.820849
 1.22233
  [Note] Convergence Criterion: 0.0298787.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
0.818185
 1.25068
  [Note] Convergence Criterion: 0.00490643.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.989525
 1.77632
  [Note] Convergence Criterion: 1.49952.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
1.06261
2.14139
  [Note] Convergence Criterion: 0.100276.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
1.06877
2.21092
  [Note] Convergence Criterion: 0.00617455.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 6197.
  [Note] Parameter Estimates: 
1.07893
2.25326
  [Note] Convergence Criterion: 0.00137602.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
0.989526
 1.77632
  [Note] Convergence Criterion: 1.49952.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
1.06261
2.14139
  [Note] Convergence Criterion: 0.100276.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 2188.
  [Note] Parameter Estimates: 
1.06877
2.21093
  [Note] Convergence Criterion: 0.00617451.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 6197.
  [Note] Parameter Estimates: 
1.07893
2.25326
  [Note] Convergence Criterion: 0.00137595.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
2.71688
  [Note] Convergence Criterion: 0.447294.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
3.6107
  [Note] Convergence Criterion: 0.0573676.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
4.02076
  [Note] Convergence Criterion: 0.0144316.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
4.00374
  [Note] Convergence Criterion: 5.52622e-05.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
3.99762
  [Note] Convergence Criterion: 1.55888e-05.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
2.87073
  [Note] Convergence Criterion: 0.344714.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
3.65813
  [Note] Convergence Criterion: 0.045874.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
4.03535
  [Note] Convergence Criterion: 0.0125879.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1167.
  [Note] Parameter Estimates: 
3.94797
  [Note] Convergence Criterion: 0.00145563.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 2611.
  [Note] Parameter Estimates: 
4.00733
  [Note] Convergence Criterion: 0.000591767.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
3.99967
  [Note] Convergence Criterion: 1.94222e-05.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
2.87073
  [Note] Convergence Criterion: 0.344714.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
3.65813
  [Note] Convergence Criterion: 0.045874.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
4.03535
  [Note] Convergence Criterion: 0.0125879.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1167.
  [Note] Parameter Estimates: 
3.94797
  [Note] Convergence Criterion: 0.00145563.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 2611.
  [Note] Parameter Estimates: 
4.00733
  [Note] Convergence Criterion: 0.000591767.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
3.99967
  [Note] Convergence Criterion: 1.94222e-05.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
1.5127
  [Note] Convergence Criterion: 0.089795.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
1.39417
  [Note] Convergence Criterion: 0.00496179.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
1.10611
  [Note] Convergence Criterion: 0.0182309.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
0.673105
  [Note] Convergence Criterion: 0.038268.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
0.26249
  [Note] Convergence Criterion: 0.0340481.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-0.0389393
  [Note] Convergence Criterion: 0.0201176.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-0.552011
  [Note] Convergence Criterion: 0.0506355.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-1.0231
  [Note] Convergence Criterion: 0.0413861.
  [Note] Iteration Number: 9.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-1.49505
  [Note] Convergence Criterion: 0.0410266.
  [Note] Iteration Number: 10.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-1.95698
  [Note] Convergence Criterion: 0.0380804.
  [Note] Iteration Number: 11.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-2.30157
  [Note] Convergence Criterion: 0.021926.
  [Note] Iteration Number: 12.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-2.53196
  [Note] Convergence Criterion: 0.0106752.
  [Note] Iteration Number: 13.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-2.71536
  [Note] Convergence Criterion: 0.0072198.
  [Note] Iteration Number: 14.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
-2.81595
  [Note] Convergence Criterion: 0.00263783.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 15.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
-2.8345
  [Note] Convergence Criterion: 0.000251499.
  [Note] Iteration Number: 16.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
-2.87312
  [Note] Convergence Criterion: 0.000558247.
  [Note] Iteration Number: 17.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
-2.88834
  [Note] Convergence Criterion: 0.000177332.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
3.57894
  [Note] Convergence Criterion: 0.168225.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
6.60515
  [Note] Convergence Criterion: 0.16515.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
9.84778
  [Note] Convergence Criterion: 0.180798.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
12.1957
  [Note] Convergence Criterion: 0.103962.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
14.5461
  [Note] Convergence Criterion: 0.105164.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
16.6692
  [Note] Convergence Criterion: 0.0890652.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
18.58
  [Note] Convergence Criterion: 0.0728383.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
20.8939
  [Note] Convergence Criterion: 0.102168.
  [Note] Iteration Number: 9.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
22.4056
  [Note] Convergence Criterion: 0.0502251.
  [Note] Iteration Number: 10.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
24.4426
  [Note] Convergence Criterion: 0.0812533.
  [Note] Iteration Number: 11.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
25.6154
  [Note] Convergence Criterion: 0.0336923.
  [Note] Iteration Number: 12.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
26.7717
  [Note] Convergence Criterion: 0.0329667.
  [Note] Iteration Number: 13.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
27.5109
  [Note] Convergence Criterion: 0.0161347.
  [Note] Iteration Number: 14.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
29.0246
  [Note] Convergence Criterion: 0.0491621.
  [Note] Iteration Number: 15.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
30.2668
  [Note] Convergence Criterion: 0.035707.
  [Note] Iteration Number: 16.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
31.2726
  [Note] Convergence Criterion: 0.0262243.
  [Note] Iteration Number: 17.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
31.7573
  [Note] Convergence Criterion: 0.00878596.
  [Note] Iteration Number: 18.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
32.1059
  [Note] Convergence Criterion: 0.00559896.
  [Note] Iteration Number: 19.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
32.6611
  [Note] Convergence Criterion: 0.0104595.
  [Note] Iteration Number: 20.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
33.2567
  [Note] Convergence Criterion: 0.0118069.
  [Note] Iteration Number: 21.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
34.0247
  [Note] Convergence Criterion: 0.0171809.
  [Note] Iteration Number: 22.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
34.6442
  [Note] Convergence Criterion: 0.0126847.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 23.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
35.0047
  [Note] Convergence Criterion: 0.00513322.
  [Note] Iteration Number: 24.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
35.6171
  [Note] Convergence Criterion: 0.0105147.
  [Note] Iteration Number: 25.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
36.0888
  [Note] Convergence Criterion: 0.00738943.
  [Note] Iteration Number: 26.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
36.4474
  [Note] Convergence Criterion: 0.004954.
  [Note] Iteration Number: 27.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
37.4108
  [Note] Convergence Criterion: 0.0215292.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 28.
  [Note] Current number of MCMC iterations: 1687.
  [Note] Parameter Estimates: 
37.7451
  [Note] Convergence Criterion: 0.0040169.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 29.
  [Note] Current number of MCMC iterations: 2611.
  [Note] Parameter Estimates: 
38.0069
  [Note] Convergence Criterion: 0.00245493.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 30.
  [Note] Current number of MCMC iterations: 3315.
  [Note] Parameter Estimates: 
38.2099
  [Note] Convergence Criterion: 0.00159944.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 31.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.3511
  [Note] Convergence Criterion: 0.000616037.
  [Note] Iteration Number: 32.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.4734
  [Note] Convergence Criterion: 0.000497953.
  [Note] Iteration Number: 33.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.6567
  [Note] Convergence Criterion: 0.00091512.
  [Note] Iteration Number: 34.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.7284
  [Note] Convergence Criterion: 0.000243766.
  [Note] Iteration Number: 35.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.901
  [Note] Convergence Criterion: 0.000831227.
  [Note] Iteration Number: 36.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
38.9998
  [Note] Convergence Criterion: 0.000372776.
  [Note] Iteration Number: 37.
  [Note] Current number of MCMC iterations: 12367.
  [Note] Parameter Estimates: 
39.0785
  [Note] Convergence Criterion: 0.000274747.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 38.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.1399
  [Note] Convergence Criterion: 0.000166908.
  [Note] Iteration Number: 39.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.1567
  [Note] Convergence Criterion: 3.56707e-05.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
3.88796
  [Note] Convergence Criterion: 0.199104.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
6.70707
  [Note] Convergence Criterion: 0.144179.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
8.93779
  [Note] Convergence Criterion: 0.095655.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
11.0122
  [Note] Convergence Criterion: 0.0853815.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
13.5612
  [Note] Convergence Criterion: 0.121944.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
15.7403
  [Note] Convergence Criterion: 0.0919451.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
17.4694
  [Note] Convergence Criterion: 0.0610221.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
19.1703
  [Note] Convergence Criterion: 0.0596965.
  [Note] Iteration Number: 9.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
20.5289
  [Note] Convergence Criterion: 0.0404434.
  [Note] Iteration Number: 10.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
22.3118
  [Note] Convergence Criterion: 0.0623274.
  [Note] Iteration Number: 11.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
23.4629
  [Note] Convergence Criterion: 0.0311416.
  [Note] Iteration Number: 12.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
24.8283
  [Note] Convergence Criterion: 0.0416213.
  [Note] Iteration Number: 13.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
26.3874
  [Note] Convergence Criterion: 0.0516532.
  [Note] Iteration Number: 14.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
27.7639
  [Note] Convergence Criterion: 0.0429361.
  [Note] Iteration Number: 15.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
28.7151
  [Note] Convergence Criterion: 0.0237817.
  [Note] Iteration Number: 16.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
29.3797
  [Note] Convergence Criterion: 0.0137453.
  [Note] Iteration Number: 17.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
30.173
  [Note] Convergence Criterion: 0.0178812.
  [Note] Iteration Number: 18.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
30.6031
  [Note] Convergence Criterion: 0.00746577.
  [Note] Iteration Number: 19.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
31.1897
  [Note] Convergence Criterion: 0.0115362.
  [Note] Iteration Number: 20.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
31.821
  [Note] Convergence Criterion: 0.01316.
  [Note] Iteration Number: 21.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
32.5598
  [Note] Convergence Criterion: 0.0157753.
  [Note] Iteration Number: 22.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
33.2559
  [Note] Convergence Criterion: 0.0149313.
  [Note] Iteration Number: 23.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
33.8701
  [Note] Convergence Criterion: 0.0122046.
  [Note] Iteration Number: 24.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
34.7837
  [Note] Convergence Criterion: 0.0217216.
  [Note] Iteration Number: 25.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
35.3102
  [Note] Convergence Criterion: 0.00996641.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 26.
  [Note] Current number of MCMC iterations: 1167.
  [Note] Parameter Estimates: 
35.665
  [Note] Convergence Criterion: 0.00533183.
  [Note] Iteration Number: 27.
  [Note] Current number of MCMC iterations: 1167.
  [Note] Parameter Estimates: 
36.1096
  [Note] Convergence Criterion: 0.00711728.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 28.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
36.3998
  [Note] Convergence Criterion: 0.00374219.
  [Note] Iteration Number: 29.
  [Note] Current number of MCMC iterations: 1390.
  [Note] Parameter Estimates: 
36.962
  [Note] Convergence Criterion: 0.00938013.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 30.
  [Note] Current number of MCMC iterations: 1687.
  [Note] Parameter Estimates: 
37.3095
  [Note] Convergence Criterion: 0.00434664.
  [Note] Iteration Number: 31.
  [Note] Current number of MCMC iterations: 1687.
  [Note] Parameter Estimates: 
37.7594
  [Note] Convergence Criterion: 0.00620774.
  [Note] Iteration Number: 32.
  [Note] Current number of MCMC iterations: 1687.
  [Note] Parameter Estimates: 
37.9889
  [Note] Convergence Criterion: 0.00245218.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 33.
  [Note] Current number of MCMC iterations: 2083.
  [Note] Parameter Estimates: 
38.2551
  [Note] Convergence Criterion: 0.0027239.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 34.
  [Note] Current number of MCMC iterations: 3315.
  [Note] Parameter Estimates: 
38.4409
  [Note] Convergence Criterion: 0.00139352.
  [Note] Iteration Number: 35.
  [Note] Current number of MCMC iterations: 3315.
  [Note] Parameter Estimates: 
38.6373
  [Note] Convergence Criterion: 0.00150371.
  [Note] Iteration Number: 36.
  [Note] Current number of MCMC iterations: 3315.
  [Note] Parameter Estimates: 
38.8325
  [Note] Convergence Criterion: 0.00149478.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 37.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
38.9006
  [Note] Convergence Criterion: 0.000192296.
  [Note] Iteration Number: 38.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.0068
  [Note] Convergence Criterion: 0.00035607.
  [Note] Iteration Number: 39.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.0837
  [Note] Convergence Criterion: 0.000225167.
  [Note] Iteration Number: 40.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.2204
  [Note] Convergence Criterion: 0.00051648.
  [Note] Iteration Number: 41.
  [Note] Current number of MCMC iterations: 20000.
  [Note] Parameter Estimates: 
39.2688
  [Note] Convergence Criterion: 0.000124143.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
7.76126
  [Note] Convergence Criterion: 1.73265.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
9.29109
  [Note] Convergence Criterion: 0.0765319.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
9.6235
  [Note] Convergence Criterion: 0.00564878.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
9.74409
  [Note] Convergence Criterion: 0.00130319.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 2083.
  [Note] Parameter Estimates: 
9.65659
  [Note] Convergence Criterion: 0.00057379.
  [Note] Iteration Number: 1.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
1.93015
1.07082
6.92386
 2.8563
 1.6447
  [Note] Convergence Criterion: 305.589.
  [Note] Iteration Number: 2.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
2.16713
1.01193
 8.2152
2.73377
 1.0363
  [Note] Convergence Criterion: 10.833.
  [Note] Iteration Number: 3.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.31654
 0.90029
 8.65195
 2.22682
0.714367
  [Note] Convergence Criterion: 7.50893.
  [Note] Iteration Number: 4.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.34747
0.783132
 8.99766
 1.61685
 0.51109
  [Note] Convergence Criterion: 7.65976.
  [Note] Iteration Number: 5.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.31502
0.629928
 9.29655
 1.06751
0.367998
  [Note] Convergence Criterion: 7.82357.
  [Note] Iteration Number: 6.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3212
0.482464
 9.49378
0.705366
0.271298
  [Note] Convergence Criterion: 6.58369.
  [Note] Iteration Number: 7.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3094
0.384628
 9.58761
0.523258
0.223854
  [Note] Convergence Criterion: 3.00888.
  [Note] Iteration Number: 8.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3196
0.320927
 9.64847
0.412933
0.199727
  [Note] Convergence Criterion: 1.44785.
  [Note] Iteration Number: 9.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.31662
0.273994
 9.67668
 0.36208
0.190044
  [Note] Convergence Criterion: 0.561781.
  [Note] Iteration Number: 10.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.32237
0.247724
 9.68576
0.343495
0.186765
  [Note] Convergence Criterion: 0.190028.
  [Note] Iteration Number: 11.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.32673
 0.22336
 9.69652
0.326271
0.186472
  [Note] Convergence Criterion: 0.174817.
  [Note] Iteration Number: 12.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.32573
0.210682
 9.69812
0.318874
0.185886
  [Note] Convergence Criterion: 0.0644754.
  [Note] Iteration Number: 13.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.32755
0.202666
 9.70085
0.314334
0.185886
  [Note] Convergence Criterion: 0.0380693.
  [Note] Iteration Number: 14.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.32404
0.193874
 9.70175
0.314008
0.185177
  [Note] Convergence Criterion: 0.0381805.
  [Note] Iteration Number: 15.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3294
0.184592
 9.69722
0.319145
0.185484
  [Note] Convergence Criterion: 0.0483273.
  [Note] Iteration Number: 16.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3316
0.180476
   9.705
 0.30853
0.186857
  [Note] Convergence Criterion: 0.0425967.
  [Note] Iteration Number: 17.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33387
0.174046
 9.70762
0.302218
0.186372
  [Note] Convergence Criterion: 0.0368747.
  [Note] Iteration Number: 18.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33387
0.167065
 9.70947
0.299876
0.186423
  [Note] Convergence Criterion: 0.0324896.
  [Note] Iteration Number: 19.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33304
0.160591
 9.71174
 0.29503
0.185743
  [Note] Convergence Criterion: 0.0351902.
  [Note] Iteration Number: 20.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33024
0.158524
 9.71437
0.290971
 0.18533
  [Note] Convergence Criterion: 0.0136328.
  [Note] Iteration Number: 21.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33105
0.154538
 9.71609
0.288371
0.186209
  [Note] Convergence Criterion: 0.0186582.
  [Note] Iteration Number: 22.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33125
0.152009
 9.71665
0.285603
0.186597
  [Note] Convergence Criterion: 0.01125.
  [Note] Iteration Number: 23.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33362
0.147882
 9.71723
0.283808
0.186293
  [Note] Convergence Criterion: 0.0189159.
  [Note] Iteration Number: 24.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33544
0.144953
 9.71543
0.285594
0.186911
  [Note] Convergence Criterion: 0.0125523.
  [Note] Iteration Number: 25.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33435
0.142783
 9.71615
0.286339
 0.18615
  [Note] Convergence Criterion: 0.00842573.
  [Note] Iteration Number: 26.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
 2.33287
0.141947
 9.71323
0.290447
0.186427
  [Note] Convergence Criterion: 0.0121972.
  [Note] Iteration Number: 27.
  [Note] Current number of MCMC iterations: 1000.
  [Note] Parameter Estimates: 
  2.3346
0.137828
 9.71399
0.288753
0.186807
  [Note] Convergence Criterion: 0.019759.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 28.
  [Note] Current number of MCMC iterations: 1546.
  [Note] Parameter Estimates: 
 2.33427
0.135925
 9.71458
0.288106
 0.18677
  [Note] Convergence Criterion: 0.00610788.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 29.
  [Note] Current number of MCMC iterations: 1962.
  [Note] Parameter Estimates: 
 2.33724
0.134264
 9.71506
0.288378
0.187002
  [Note] Convergence Criterion: 0.00439994.
  [Note] Iteration Number: 30.
  [Note] Current number of MCMC iterations: 1962.
  [Note] Parameter Estimates: 
 2.33678
0.132272
 9.71363
0.289139
0.186554
  [Note] Convergence Criterion: 0.00660849.
  [Note] Iteration Number: 31.
  [Note] Current number of MCMC iterations: 1962.
  [Note] Parameter Estimates: 
 2.33568
0.130075
 9.71343
0.290403
0.187144
  [Note] Convergence Criterion: 0.00787739.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 32.
  [Note] Current number of MCMC iterations: 3255.
  [Note] Parameter Estimates: 
 2.33573
   0.129
 9.71202
0.291863
0.187177
  [Note] Convergence Criterion: 0.00342782.
  [Note] Iteration Number: 33.
  [Note] Current number of MCMC iterations: 3255.
  [Note] Parameter Estimates: 
 2.33624
0.127576
 9.71232
0.292143
0.186954
  [Note] Convergence Criterion: 0.00305783.
  [Note] Iteration Number: 34.
  [Note] Current number of MCMC iterations: 3255.
  [Note] Parameter Estimates: 
 2.33712
0.125168
 9.71289
0.292336
0.187388
  [Note] Convergence Criterion: 0.00699576.
  [Note] Iteration Number: 35.
  [Note] Current number of MCMC iterations: 3255.
  [Note] Parameter Estimates: 
  2.3366
0.124069
 9.71384
0.290924
0.187017
  [Note] Convergence Criterion: 0.00385993.
  [Note] Iteration Number: 36.
  [Note] Current number of MCMC iterations: 3255.
  [Note] Parameter Estimates: 
 2.33804
0.124058
 9.71217
0.293027
0.187268
  [Note] Convergence Criterion: 0.00386721.
Monte Carlo error too big: increasing MCMC sample size.
Monte Carlo error too big: increasing MCMC sample size.
  [Note] Iteration Number: 37.
  [Note] Current number of MCMC iterations: 5554.
  [Note] Parameter Estimates: 
 2.33613
0.123456
 9.71184
0.292731
0.187387
  [Note] Convergence Criterion: 0.000937941.
