An Application to HB Twofold Normal Model On sampel dataset

library(saeHB.twofold)
data("dataTwofold")

model=NormalTF(y~x1+x2,vardir="vardir",area = "codearea",weight = "w",iter.mcmc = 100000,thin=50,burn.in = 1000,data=dataTwofold)
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 90
#>    Unobserved stochastic nodes: 125
#>    Total graph size: 953
#> 
#> Initializing model
#> 
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 90
#>    Unobserved stochastic nodes: 125
#>    Total graph size: 953
#> 
#> Initializing model
#> 
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 90
#>    Unobserved stochastic nodes: 125
#>    Total graph size: 953
#> 
#> Initializing model
#> Warning in par(opar): argument 1 does not name a graphical parameter

CV=(model$Est_sub$SD)/(model$Est_sub$Mean)*100
MSE=model$Est_sub$SD^2
summary(cbind(CV,MSE))
#>        CV              MSE         
#>  Min.   : 3.119   Min.   : 0.2249  
#>  1st Qu.: 6.406   1st Qu.: 0.6986  
#>  Median :11.568   Median : 1.7090  
#>  Mean   :13.706   Mean   : 2.3800  
#>  3rd Qu.:17.718   3rd Qu.: 3.5505  
#>  Max.   :51.404   Max.   :10.9948

CV2=(model$Est_area$SD)/(model$Est_area$Mean)*100
MSE2=model$Est_area$SD^2
summary(cbind(CV2,MSE2))
#>       CV2              MSE2       
#>  Min.   : 3.749   Min.   :0.1641  
#>  1st Qu.: 5.235   1st Qu.:0.4320  
#>  Median : 7.516   Median :0.6769  
#>  Mean   : 8.602   Mean   :1.0155  
#>  3rd Qu.:11.797   3rd Qu.:1.2879  
#>  Max.   :19.464   Max.   :3.6469

dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#>      dirCV               CV        
#>  Min.   :  3.187   Min.   : 3.119  
#>  1st Qu.:  6.642   1st Qu.: 6.406  
#>  Median : 12.764   Median :11.568  
#>  Mean   : 25.141   Mean   :13.706  
#>  3rd Qu.: 21.041   3rd Qu.:17.718  
#>  Max.   :680.378   Max.   :51.404

boxplot(cbind(dirCV,CV),ylim=c(0,50))

model$refVar
#>   var_area  var_sub
#> 1 8.168277 8.829199

model$plot
#> [[1]]
#> NULL
#> 
#> [[2]]
#> [[2]]$mar
#> [1] 5.1 4.1 4.1 2.1
#> 
#> 
#> [[3]]
#> [[1]]
#> Markov Chain Monte Carlo (MCMC) output:
#> Start = 1050 
#> End = 1e+05 
#> Thinning interval = 50 
#>               beta[0]       beta[1]  beta[2]
#>    [1,] -1.249413e+00  0.3207518186 1.388354
#>    [2,] -1.496086e-01  0.7268360229 1.191252
#>    [3,]  2.281586e-01  0.5593690076 1.119328
#>    [4,] -7.942594e-01 -0.6012851445 1.331330
#>    [5,]  1.981316e-01 -0.0075468757 1.317100
#>    [6,] -1.478889e+00 -0.1854098061 1.410236
#>    [7,]  3.626743e-01  0.8638400377 1.158322
#>    [8,]  1.208894e+00  0.3558691723 1.090793
#>    [9,] -1.429691e+00  0.0305018841 1.308571
#>   [10,] -6.477074e-01  0.4065880651 1.197417
#>   [11,] -5.589617e-01  0.4206983848 1.292181
#>   [12,]  1.341276e-01 -0.2471376739 1.280790
#>   [13,]  7.855708e-01 -0.2735855496 1.229258
#>   [14,] -1.731288e-01 -0.1751196914 1.200626
#>   [15,] -6.433790e-01  0.2984202404 1.255481
#>   [16,] -7.397778e-01  1.4332336350 1.184207
#>   [17,]  7.238955e-01 -1.2844871522 1.165693
#>   [18,] -9.409458e-01  1.5563302214 1.151583
#>   [19,] -5.343390e-01  0.7142251538 1.180989
#>   [20,] -3.135347e-01  0.5276268119 1.163797
#>   [21,] -4.334525e-01 -0.4698463871 1.316701
#>   [22,] -7.798820e-01 -0.4127858148 1.214644
#>   [23,] -5.758646e-01 -0.4646455293 1.241294
#>   [24,] -1.139738e+00 -0.0358321611 1.354081
#>   [25,] -5.366667e-01  0.5806433275 1.183805
#>   [26,] -4.295388e-01  0.4919101754 1.220206
#>   [27,] -5.065575e-01  0.7088965537 1.153122
#>   [28,]  4.437560e-01 -1.0342734175 1.274615
#>   [29,] -4.542019e-01  0.1989623973 1.235966
#>   [30,]  2.069922e-01  0.2961125785 1.173850
#>   [31,] -9.352589e-03 -0.1108487568 1.241948
#>   [32,]  7.399765e-01 -0.1441528312 1.209310
#>   [33,] -1.151563e-01 -0.6006495271 1.381577
#>   [34,] -1.201791e+00  1.0713300528 1.256138
#>   [35,]  4.081366e-01  0.2152585954 1.196309
#>   [36,] -3.435115e-02 -0.5137423594 1.261346
#>   [37,]  1.435319e-01  0.7698801794 1.219406
#>   [38,] -4.258294e-01  0.3513252613 1.189771
#>   [39,]  7.506957e-01  0.1947736453 1.136704
#>   [40,] -1.444981e+00  1.0913250278 1.205678
#>   [41,] -4.664578e-01  0.3130975479 1.213423
#>   [42,] -3.633074e-01  0.3509625446 1.222808
#>   [43,] -4.473350e-01 -0.3433468467 1.158048
#>   [44,] -1.391132e+00  0.0583707920 1.280589
#>   [45,]  6.475001e-01  0.6176217275 1.154491
#>   [46,]  4.218331e-01  0.0245014413 1.219476
#>   [47,]  2.924762e-01  0.3094093529 1.185432
#>   [48,] -8.757528e-01  0.3436771780 1.254102
#>   [49,] -3.847307e-02  0.1111431601 1.240156
#>   [50,]  1.054697e+00  0.3277873487 1.011211
#>   [51,] -8.011527e-01 -0.6351456172 1.273989
#>   [52,]  2.172985e-01  0.0976097774 1.167897
#>   [53,] -6.675901e-01  0.2142944409 1.126123
#>   [54,] -8.825593e-01 -0.3645297898 1.265777
#>   [55,] -9.360424e-01  0.7597682094 1.305991
#>   [56,] -8.489396e-02 -0.3116153164 1.284124
#>   [57,] -7.316441e-01  0.4524418062 1.212469
#>   [58,] -1.008217e-01 -0.2181402728 1.153723
#>   [59,]  2.903511e-01  0.4313029945 1.058530
#>   [60,] -5.314926e-01  0.1360655564 1.221886
#>   [61,]  1.575164e-01  0.3333435207 1.159006
#>   [62,]  1.238600e-01 -0.0403312095 1.127558
#>   [63,] -4.732872e-01  0.8805945726 1.246789
#>   [64,] -7.028113e-01 -0.4934122465 1.244024
#>   [65,] -1.779025e+00  0.5176136589 1.269406
#>   [66,] -4.272042e-01  0.3182790778 1.265074
#>   [67,] -1.615148e-01 -0.2133644613 1.181944
#>   [68,]  1.126823e-01  0.1696164560 1.120264
#>   [69,]  2.241900e-01 -0.1895221755 1.186499
#>   [70,] -1.214990e-01  0.2902431265 1.215380
#>   [71,] -8.865766e-01 -0.2775438019 1.345947
#>   [72,]  2.234569e-01  0.0613576015 1.214806
#>   [73,]  1.062845e+00 -0.9658676003 1.199720
#>   [74,] -1.732372e-01  0.1157562458 1.227783
#>   [75,] -3.738719e-01  0.4285370360 1.248164
#>   [76,]  2.483454e-01 -0.0862416305 1.222458
#>   [77,] -4.488880e-01  1.1269572913 1.146819
#>   [78,] -2.638681e-02  0.1341604605 1.276698
#>   [79,] -6.020374e-01  0.3085210449 1.199679
#>   [80,]  5.181618e-01 -0.2654821471 1.232190
#>   [81,] -1.979968e-01  0.1461832361 1.211854
#>   [82,]  4.857819e-01 -0.5029400207 1.156936
#>   [83,] -4.907969e-01  0.9996086674 1.096779
#>   [84,]  1.078199e-01 -1.3481703259 1.236707
#>   [85,]  3.330158e-01  0.6444035886 1.163787
#>   [86,]  1.622273e-01 -0.6448373310 1.281245
#>   [87,] -2.659273e-01  0.3002310368 1.193438
#>   [88,] -7.763066e-01  1.2485630467 1.185513
#>   [89,] -1.148329e+00 -0.8740037522 1.239829
#>   [90,] -2.066175e+00  0.0139947147 1.328545
#>   [91,] -6.345523e-01 -0.0351602128 1.252464
#>   [92,] -6.956202e-01  0.5718784677 1.256095
#>   [93,]  3.633179e-01  0.7903842088 1.242034
#>   [94,]  6.149533e-01 -0.6349565789 1.189062
#>   [95,]  3.481481e-01 -0.9755602076 1.136905
#>   [96,] -8.462254e-01 -0.3282388227 1.306447
#>   [97,]  5.537576e-01  0.0024036145 1.219028
#>   [98,]  3.779316e-01 -0.1661676157 1.132141
#>   [99,] -5.858400e-01 -0.3268984050 1.196099
#>  [100,] -3.882064e-01 -0.4704724640 1.229104
#>  [101,]  1.681202e-01  0.2444409257 1.285198
#>  [102,] -5.417105e-01 -0.5704464311 1.279530
#>  [103,]  3.336023e-01 -0.3170239898 1.219618
#>  [104,] -8.028597e-01 -0.0654861134 1.145591
#>  [105,]  3.443529e-01 -0.2462748688 1.079986
#>  [106,]  7.062218e-01 -0.2290840506 1.203660
#>  [107,]  4.231251e-01  0.5450388025 1.138574
#>  [108,]  4.342385e-02 -0.4160478284 1.204571
#>  [109,] -5.393829e-03  0.0459741868 1.316877
#>  [110,] -5.152810e-01  0.5758739172 1.232643
#>  [111,] -1.043709e-02  0.4239146526 1.160362
#>  [112,] -6.373358e-01  0.3377664581 1.305786
#>  [113,] -4.919374e-01 -0.2806964751 1.297267
#>  [114,] -8.022344e-02 -1.0301898969 1.208602
#>  [115,] -2.296499e-01 -0.2040287131 1.227224
#>  [116,] -3.088157e-01  0.5231055861 1.295851
#>  [117,]  3.722700e-01 -0.3677272616 1.242279
#>  [118,] -1.671653e+00  0.6140747877 1.207125
#>  [119,] -7.054027e-01 -0.5182084439 1.267091
#>  [120,]  4.036044e-02  0.4455940896 1.194792
#>  [121,]  3.795452e-01  0.2109019992 1.176784
#>  [122,] -1.067658e+00  1.7111196273 1.225090
#>  [123,]  4.698997e-01  0.2244191744 1.203462
#>  [124,]  2.821051e-01 -1.1585122183 1.201343
#>  [125,] -5.120945e-02  0.3977618376 1.171779
#>  [126,]  2.897556e-01 -0.4831116109 1.180985
#>  [127,]  3.963230e-01 -0.2818215669 1.192560
#>  [128,]  2.850468e-01  0.0603912737 1.122133
#>  [129,]  3.050918e-01 -0.1731536292 1.253375
#>  [130,]  4.970233e-01 -0.2808534398 1.183444
#>  [131,] -5.071645e-01 -1.0873834490 1.273986
#>  [132,] -4.591858e-01  0.8601000988 1.230216
#>  [133,]  3.331757e-02 -0.0763931830 1.211118
#>  [134,]  3.730081e-01 -0.2095066695 1.239199
#>  [135,]  1.406160e-01 -0.2595189307 1.219255
#>  [136,] -4.397586e-01  0.3517028366 1.197912
#>  [137,] -1.845832e-01 -0.4470236852 1.296782
#>  [138,] -1.332646e+00  1.3510784758 1.245183
#>  [139,] -1.211363e-01  0.0155636825 1.240653
#>  [140,] -9.894208e-01 -0.4721235210 1.315801
#>  [141,] -9.043124e-01  0.4521368847 1.286465
#>  [142,]  6.285014e-01  0.6880202888 1.128688
#>  [143,]  8.336171e-01 -0.1664044620 1.142672
#>  [144,] -3.691325e-01 -0.2365786285 1.246869
#>  [145,]  1.763398e-01  0.5875044434 1.251708
#>  [146,] -3.177263e-01  0.5906315967 1.209914
#>  [147,] -1.113737e-01 -0.2266635857 1.273694
#>  [148,]  3.989332e-01  0.2327276930 1.247533
#>  [149,]  3.437572e-01  0.4986211342 1.134021
#>  [150,] -2.619447e-01  0.9599647031 1.227586
#>  [151,] -1.912920e-01  0.6217265126 1.131417
#>  [152,] -1.157669e-01  0.1486168247 1.227786
#>  [153,] -2.060142e-02  0.8592731093 1.153535
#>  [154,] -6.114228e-01  0.2959265637 1.192898
#>  [155,] -7.736251e-01  0.1915891243 1.222127
#>  [156,] -1.279726e+00  0.5339069970 1.260814
#>  [157,] -7.919579e-01  0.9637278137 1.257980
#>  [158,] -5.595368e-01 -0.0765811113 1.278394
#>  [159,] -7.666728e-02  0.4661223334 1.203016
#>  [160,] -3.350701e-01  0.1018757004 1.300605
#>  [161,]  1.508690e+00 -0.8290888326 1.166858
#>  [162,] -8.654452e-01  0.1283279061 1.184640
#>  [163,] -7.401790e-01  0.4567916424 1.250195
#>  [164,] -4.603481e-01  1.0957166221 1.140485
#>  [165,] -1.990723e+00  1.4911697040 1.171343
#>  [166,]  1.923503e-01  0.7263688835 1.045838
#>  [167,]  3.766653e-01 -0.0471411544 1.221565
#>  [168,]  3.429130e-01 -0.3226633039 1.144658
#>  [169,] -5.143461e-01  0.0192565198 1.193442
#>  [170,] -8.037731e-01  2.1148442321 1.220567
#>  [171,]  2.048131e-01  0.3683586164 1.181863
#>  [172,]  1.304245e-01 -0.1517874016 1.171341
#>  [173,] -8.835012e-01 -0.0321415889 1.268172
#>  [174,] -7.843140e-01  1.7205184162 1.239621
#>  [175,]  6.868294e-01  0.0582695113 1.183776
#>  [176,] -8.501872e-01  0.7307903598 1.239093
#>  [177,]  1.072103e-02  1.6175726643 1.131921
#>  [178,]  3.692667e-01  0.5451796540 1.171800
#>  [179,]  1.404697e+00  1.1658752569 1.086384
#>  [180,] -8.609515e-01 -1.0097853799 1.326115
#>  [181,]  4.149267e-01 -0.3034324547 1.213010
#>  [182,]  1.158900e+00  0.7440804307 1.093198
#>  [183,]  6.461166e-02  0.3284345129 1.090929
#>  [184,]  2.455795e-01  0.0824314547 1.195280
#>  [185,] -6.651295e-01  0.7668875661 1.146566
#>  [186,] -3.069109e-01 -0.7990812631 1.252630
#>  [187,] -9.628249e-01  0.3394584410 1.226103
#>  [188,] -8.425034e-01  0.7598559634 1.250731
#>  [189,] -3.092774e-01 -0.5186884176 1.252984
#>  [190,] -1.097464e+00  0.0523825606 1.325209
#>  [191,] -8.050766e-02  0.1434124246 1.091034
#>  [192,] -1.479508e+00  0.5778672684 1.248076
#>  [193,]  3.630369e-01  0.5928116994 1.173863
#>  [194,]  7.824086e-01  0.2926407011 1.182877
#>  [195,]  5.973552e-01 -1.1722622847 1.201670
#>  [196,]  7.747558e-01  1.0828879035 1.208595
#>  [197,]  4.770481e-01 -1.0693428488 1.263038
#>  [198,]  7.178400e-01  0.0749271300 1.084534
#>  [199,] -7.380377e-01  0.2292660196 1.217781
#>  [200,] -6.094764e-01 -0.5539251624 1.288678
#>  [201,] -1.372287e-01 -0.3755335942 1.207931
#>  [202,] -7.854307e-01  0.1028385751 1.280980
#>  [203,]  1.253841e-01 -0.1799666911 1.200069
#>  [204,] -2.442609e-01  0.0593226973 1.275073
#>  [205,]  7.398077e-01 -0.9503089071 1.232185
#>  [206,]  5.271425e-01 -0.1594779728 1.196512
#>  [207,]  9.202889e-02  0.8694005881 1.252340
#>  [208,] -1.878867e-01  0.7149628034 1.244006
#>  [209,] -6.229950e-01  1.6837050824 1.210082
#>  [210,]  1.113588e+00 -0.6985219510 1.109981
#>  [211,]  3.316207e-01  0.4875400237 1.139617
#>  [212,] -1.750123e-01  0.0925664125 1.209324
#>  [213,] -6.780027e-02 -0.4716271399 1.191441
#>  [214,] -1.026779e-02  0.3510134804 1.140587
#>  [215,]  3.151519e-01  0.0848311301 1.322640
#>  [216,]  1.847885e-01  1.0789647250 1.160204
#>  [217,] -1.341471e+00 -1.0407593843 1.337661
#>  [218,] -7.554373e-01 -0.1967218189 1.294983
#>  [219,]  1.389303e-01 -0.9179687848 1.196287
#>  [220,] -1.793638e+00 -0.5058397144 1.332917
#>  [221,] -1.025179e+00  1.2015124848 1.188111
#>  [222,] -4.092647e-01 -0.6746072958 1.260904
#>  [223,]  6.932382e-02  0.8183959804 1.135402
#>  [224,] -5.803632e-01  1.1332436905 1.146779
#>  [225,]  1.311347e+00  0.3642428554 1.131251
#>  [226,]  7.404597e-02 -0.3817446803 1.222886
#>  [227,] -8.163462e-01 -0.1449326675 1.249150
#>  [228,] -3.500857e-01 -0.5207253758 1.234889
#>  [229,] -6.070754e-01 -0.2987884198 1.272338
#>  [230,]  7.000549e-01 -0.0876366305 1.172282
#>  [231,] -3.156545e-01  0.6151452587 1.097308
#>  [232,] -9.697895e-02  0.7052217633 1.195632
#>  [233,] -4.600141e-01 -0.0665878749 1.261367
#>  [234,] -8.460094e-01  0.2984682546 1.259646
#>  [235,] -1.121664e+00  0.8813435169 1.227097
#>  [236,] -2.331411e-01 -0.2464762830 1.232154
#>  [237,] -9.576149e-02 -0.1940935762 1.219751
#>  [238,] -7.398208e-02 -0.1110443990 1.113438
#>  [239,] -2.384928e-02  1.2571702542 1.178345
#>  [240,] -2.413501e-01  0.6844510465 1.148756
#>  [241,] -7.335122e-01  1.4152722840 1.199168
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#> [1893,]  4.741041e-01 -0.0321604422 1.238475
#> [1894,]  6.877856e-01  0.7124141153 1.148215
#> [1895,]  2.670710e-02  0.3717736037 1.183330
#> [1896,] -8.411319e-01 -0.1925153796 1.253923
#> [1897,] -3.682306e-01 -0.6620292997 1.265433
#> [1898,] -4.981637e-01  0.9887059829 1.163291
#> [1899,] -6.012174e-01  1.0760977160 1.149887
#> [1900,]  2.694283e-01 -0.0049069159 1.224186
#> [1901,]  4.654449e-01  0.0518444131 1.250272
#> [1902,] -8.693337e-01  0.0116090516 1.210049
#> [1903,]  6.264604e-01  0.1837907334 1.144497
#> [1904,] -5.236599e-01  0.6390742754 1.201745
#> [1905,] -5.187950e-01 -1.1368644327 1.395362
#> [1906,] -1.452262e+00  1.0993889201 1.273236
#> [1907,]  5.806070e-01  0.0295207925 1.185054
#> [1908,] -4.967978e-01  0.8577467539 1.220442
#> [1909,]  1.309888e-01 -0.0231328436 1.237044
#> [1910,]  2.374109e-03 -0.4092541122 1.307122
#> [1911,]  2.706324e-01 -1.7245947362 1.265080
#> [1912,] -3.846991e-02  0.5383189166 1.151588
#> [1913,]  3.687595e-01  0.5470830012 1.182393
#> [1914,] -1.907486e+00 -0.2076683738 1.292775
#> [1915,] -6.951845e-01  1.0066353736 1.297817
#> [1916,] -5.871803e-01  0.0525538545 1.252773
#> [1917,]  3.351019e-01  0.9838807173 1.094823
#> [1918,] -8.221147e-01  0.4014746240 1.165212
#> [1919,]  3.292390e-01 -0.4640339219 1.302479
#> [1920,] -7.757388e-01  0.5909840584 1.216643
#> [1921,] -9.359241e-01  0.1035876933 1.275962
#> [1922,] -4.096464e-01  1.7056579123 1.215415
#> [1923,] -6.388867e-01  0.2352234694 1.163667
#> [1924,] -1.478072e+00 -0.3049593845 1.340343
#> [1925,] -9.308664e-01  0.4194945776 1.306264
#> [1926,] -1.304728e-01  0.1475462830 1.221069
#> [1927,] -7.987218e-02  0.1180277590 1.100930
#> [1928,]  2.687988e-02  0.2856976686 1.220638
#> [1929,]  6.337497e-01  0.4518415136 1.225000
#> [1930,] -3.215062e-02 -0.7342052312 1.254852
#> [1931,] -8.661438e-01 -0.6434260466 1.247411
#> [1932,] -2.573270e-02  0.0454693593 1.207485
#> [1933,] -1.037532e+00  0.8177609468 1.252726
#> [1934,] -3.220724e-01  0.8955232537 1.255512
#> [1935,] -5.124729e-01  0.1563457996 1.203590
#> [1936,]  5.779916e-01  0.1951168304 1.144331
#> [1937,] -7.411757e-01  1.2575079799 1.203313
#> [1938,] -9.934695e-01  0.4223610246 1.315508
#> [1939,]  4.135239e-01  0.4288624980 1.221243
#> [1940,]  2.086026e-01 -0.0600819252 1.197968
#> [1941,] -3.579334e-01  0.1821190596 1.100512
#> [1942,] -3.978375e-02  0.1620470259 1.161057
#> [1943,] -2.927563e-02 -0.2143370460 1.257793
#> [1944,]  2.310423e-01 -0.4672990394 1.216472
#> [1945,]  3.899274e-01  0.3102413023 1.140183
#> [1946,] -1.053490e+00 -0.4958798055 1.219825
#> [1947,] -1.147858e+00  0.6748529811 1.346483
#> [1948,]  7.190679e-02 -0.0589383458 1.263654
#> [1949,] -8.978965e-01 -0.0245255123 1.250153
#> [1950,] -8.466654e-01  1.0836613954 1.219368
#> [1951,] -5.337505e-01 -0.6315638269 1.292093
#> [1952,]  1.070708e-01  0.7385129743 1.218526
#> [1953,] -8.093828e-01  1.0499955372 1.216117
#> [1954,] -1.534526e-01 -0.4420891245 1.213034
#> [1955,] -1.061988e+00  1.0612293910 1.221026
#> [1956,] -4.475468e-01 -0.1110574332 1.250094
#> [1957,]  2.509694e-02  0.2780126428 1.263010
#> [1958,] -6.481588e-01  0.3251240403 1.313281
#> [1959,] -3.383595e-01 -0.0537867594 1.248855
#> [1960,]  7.172071e-01 -0.3830084813 1.176892
#> [1961,] -6.858499e-01 -0.6622276775 1.255667
#> [1962,] -4.342620e-01  1.3183403187 1.282594
#> [1963,]  9.036181e-02 -0.0812284860 1.291853
#> [1964,]  9.020948e-02  0.1579598140 1.207995
#> [1965,] -3.029496e-01  1.0524405601 1.194502
#> [1966,] -1.320215e+00  0.1739403879 1.179273
#> [1967,]  3.870044e-01  0.4653940395 1.180799
#> [1968,] -7.040211e-01  0.2174749741 1.239836
#> [1969,] -8.085858e-01 -0.2207615210 1.204315
#> [1970,]  3.627748e-01  0.2143151501 1.224886
#> [1971,] -1.123503e+00 -0.5862648845 1.370092
#> [1972,] -1.128926e+00  0.7415521977 1.246669
#> [1973,]  5.267108e-02  0.4566680136 1.138107
#> [1974,] -1.026743e+00  1.3875637129 1.274485
#> [1975,]  2.135772e-01  0.7370625653 1.155620
#> [1976,] -4.566029e-01  1.0771597238 1.172447
#> [1977,] -4.824813e-01 -0.5141484355 1.192899
#> [1978,] -4.580085e-01 -0.0208607120 1.242300
#> [1979,] -5.137474e-01  0.1762925108 1.170935
#> [1980,] -8.226337e-01  0.4615995515 1.244306
#> 
#> attr(,"class")
#> [1] "mcmc.list"
#> 
#> [[4]]
#> NULL