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.   : 3.200   Min.   : 0.2337  
#>  1st Qu.: 6.494   1st Qu.: 0.6837  
#>  Median :11.425   Median : 1.7130  
#>  Mean   :13.722   Mean   : 2.3748  
#>  3rd Qu.:17.886   3rd Qu.: 3.4945  
#>  Max.   :50.447   Max.   :10.9744

CV2=(model$Est_area$SD)/(model$Est_area$Mean)*100
MSE2=model$Est_area$SD^2
summary(cbind(CV2,MSE2))
#>       CV2              MSE2       
#>  Min.   : 3.731   Min.   :0.1658  
#>  1st Qu.: 5.148   1st Qu.:0.4350  
#>  Median : 7.544   Median :0.6749  
#>  Mean   : 8.600   Mean   :1.0110  
#>  3rd Qu.:11.633   3rd Qu.:1.2675  
#>  Max.   :19.260   Max.   :3.4855

dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#>      dirCV               CV        
#>  Min.   :  3.187   Min.   : 3.200  
#>  1st Qu.:  6.642   1st Qu.: 6.494  
#>  Median : 12.763   Median :11.425  
#>  Mean   : 25.141   Mean   :13.722  
#>  3rd Qu.: 21.041   3rd Qu.:17.886  
#>  Max.   :680.378   Max.   :50.447

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

model$refVar
#>   var_area  var_sub
#> 1  7.97186 8.814458

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,] -0.4811336282  3.384543e-01 1.203792
#>    [2,] -0.7625586435  1.065051e+00 1.112953
#>    [3,]  0.8875320015  1.142190e-01 1.210463
#>    [4,] -0.0998069321 -7.797942e-02 1.241209
#>    [5,] -1.1327999207  5.344089e-01 1.208405
#>    [6,] -0.2965096736 -3.056069e-01 1.254397
#>    [7,] -2.0075042348  1.441512e+00 1.292266
#>    [8,]  0.0582052671 -3.971134e-01 1.307783
#>    [9,] -0.9515453489  6.600406e-02 1.326739
#>   [10,]  0.0557752857  1.088377e-01 1.233243
#>   [11,] -1.1619351011 -6.439785e-01 1.341746
#>   [12,] -0.1601914597 -1.089526e+00 1.236731
#>   [13,] -1.2248305610  3.982850e-02 1.348882
#>   [14,]  0.0049145896  1.119505e+00 1.261051
#>   [15,] -0.1195849916  9.701584e-01 1.122025
#>   [16,]  0.3369793585 -4.437545e-01 1.175021
#>   [17,] -0.2265924254  9.669591e-02 1.281884
#>   [18,] -0.1980301646  1.008015e+00 1.215512
#>   [19,] -1.5039136245  3.803098e-01 1.265606
#>   [20,] -0.1793501939  2.814723e-01 1.181846
#>   [21,] -0.2318176382  2.567575e-02 1.216814
#>   [22,]  0.2116357568 -1.033963e-01 1.255774
#>   [23,] -0.0936095383 -2.459509e-01 1.253291
#>   [24,]  0.2722676110 -7.710943e-01 1.163849
#>   [25,] -0.5518214133  8.472348e-01 1.246385
#>   [26,] -0.6236172543  6.814184e-01 1.295076
#>   [27,] -0.6387198283 -3.221364e-01 1.317832
#>   [28,] -0.1823572284 -5.099752e-02 1.158468
#>   [29,] -0.8149106511  6.680710e-01 1.252427
#>   [30,]  0.0607854895 -3.399669e-01 1.234354
#>   [31,] -0.9915879717  1.850789e-01 1.254836
#>   [32,] -0.3786866243  1.712014e-01 1.235863
#>   [33,] -0.7181279783  4.874633e-01 1.298468
#>   [34,]  0.3586294255 -5.842901e-01 1.165049
#>   [35,] -0.3331279258 -3.007375e-01 1.277581
#>   [36,] -0.1872418548 -5.378466e-01 1.297014
#>   [37,]  0.0259174925 -4.254832e-01 1.243024
#>   [38,] -0.5535512570  1.493626e+00 1.186758
#>   [39,]  0.6696197806  2.359828e-01 1.119070
#>   [40,] -1.5175480199  6.209856e-01 1.327451
#>   [41,] -0.7825608999  5.558859e-01 1.311242
#>   [42,] -0.7510095790  5.825435e-01 1.267131
#>   [43,] -0.2514613184 -2.938776e-01 1.258685
#>   [44,]  0.4528240493 -2.891419e-01 1.125672
#>   [45,] -0.5731579003  5.402134e-01 1.197020
#>   [46,]  0.3165708653  9.345000e-01 1.138225
#>   [47,] -0.2719645493  1.414898e-01 1.253169
#>   [48,]  0.1152541236  8.989161e-01 1.223876
#>   [49,] -0.2331217547  1.929389e-01 1.142939
#>   [50,]  0.8786828494  5.690910e-02 1.193048
#>   [51,] -0.3129224471  2.479285e-01 1.204958
#>   [52,]  0.0249704258  9.773467e-01 1.206307
#>   [53,] -0.0944540158  2.428969e-01 1.192724
#>   [54,] -0.4204963473 -2.636370e-01 1.334089
#>   [55,]  0.3253348511  5.338559e-01 1.236294
#>   [56,] -1.0662913524  4.290238e-01 1.262223
#>   [57,] -0.9957696421 -7.526518e-01 1.262254
#>   [58,] -0.2846640607 -2.612827e-01 1.192554
#>   [59,] -1.5081120366  1.557569e-01 1.280982
#>   [60,] -0.7159733661  2.041986e-01 1.330555
#>   [61,] -0.0393062037 -1.426599e-01 1.242997
#>   [62,] -0.4854745892  1.591840e+00 1.208820
#>   [63,]  0.1857265244 -8.094563e-02 1.159051
#>   [64,]  0.2319683405 -1.047860e+00 1.175854
#>   [65,] -0.4541985824  1.513594e-01 1.272488
#>   [66,] -0.6441956188 -4.547031e-01 1.266521
#>   [67,] -0.6721295991 -1.889818e-01 1.222799
#>   [68,] -0.7434473047 -1.734411e-01 1.208321
#>   [69,] -0.5836133285  7.200264e-01 1.248082
#>   [70,] -1.1228122534  1.335804e+00 1.292970
#>   [71,]  0.7745381219  4.310995e-01 1.229767
#>   [72,] -0.2205402009 -8.894142e-01 1.231520
#>   [73,] -0.9281554224  1.094455e+00 1.225781
#>   [74,] -0.3695095114 -1.469049e-03 1.208812
#>   [75,] -0.7113684504  3.716341e-01 1.254940
#>   [76,] -0.5659465227  1.641863e+00 1.144390
#>   [77,] -0.1641024383  2.615710e-01 1.182238
#>   [78,] -0.3639402873  5.124671e-01 1.235244
#>   [79,] -0.5169423861  1.069185e+00 1.203383
#>   [80,] -0.0491883836 -8.716045e-02 1.198529
#>   [81,] -0.0325622790  2.322926e-01 1.213639
#>   [82,] -0.1006940902  8.728025e-02 1.283887
#>   [83,]  0.7979132412 -5.501806e-01 1.135853
#>   [84,] -0.9222099945 -3.311717e-02 1.344831
#>   [85,] -0.6427768489  1.396117e+00 1.201669
#>   [86,]  0.1181764185  3.198550e-01 1.183273
#>   [87,] -1.1207901604  1.981748e-01 1.285970
#>   [88,] -1.1403938805  4.292891e-01 1.174142
#>   [89,]  0.0366570885  1.411019e+00 1.153659
#>   [90,]  0.6043180695 -9.313915e-01 1.279802
#>   [91,] -1.3183820086  5.150692e-01 1.287835
#>   [92,] -1.2390618119  2.832926e-01 1.273384
#>   [93,] -0.0730174415  6.871204e-01 1.190417
#>   [94,]  0.4959793584  8.764504e-02 1.158057
#>   [95,] -0.0323344861  4.941061e-01 1.172675
#>   [96,]  0.0167955283 -1.166416e-01 1.214296
#>   [97,]  0.0726883174 -2.989590e-01 1.224768
#>   [98,] -0.3906165384  1.946847e-01 1.167477
#>   [99,] -0.6706862778  4.524957e-01 1.278591
#>  [100,]  0.7070770210 -6.775606e-02 1.128368
#>  [101,]  0.3738373889  1.777395e-01 1.093196
#>  [102,]  0.2589153004 -9.412608e-02 1.234459
#>  [103,]  0.3091579477 -6.721943e-01 1.278018
#>  [104,] -0.8682650104  9.586382e-02 1.283428
#>  [105,] -1.1655585347  4.534784e-01 1.375570
#>  [106,] -0.7590875893 -7.582610e-02 1.196284
#>  [107,] -1.1800265719  4.500835e-01 1.224524
#>  [108,]  0.1475370984  8.689480e-01 1.082801
#>  [109,]  0.7685390161 -1.024460e-02 1.117232
#>  [110,] -0.5722841513  4.171490e-01 1.161017
#>  [111,] -1.1637224112  1.111221e+00 1.146010
#>  [112,] -0.3359546439  6.664330e-01 1.180204
#>  [113,] -0.4760928240  8.936234e-01 1.132696
#>  [114,]  0.7742743235  4.015073e-01 1.179371
#>  [115,] -0.1637613340 -2.311416e-01 1.182540
#>  [116,] -1.0571945061  8.729691e-02 1.203753
#>  [117,] -0.2999186002 -2.394370e-02 1.319881
#>  [118,]  0.4064587368  9.498385e-01 1.202104
#>  [119,] -0.2285448830 -8.011190e-02 1.211058
#>  [120,]  1.0304191869  1.326508e-01 1.197548
#>  [121,] -0.1834125812  1.001450e+00 1.106719
#>  [122,] -0.6997497210 -2.089454e-01 1.243765
#>  [123,] -1.3356155857  2.340365e-01 1.353022
#>  [124,] -0.8408833638  7.946875e-01 1.247237
#>  [125,] -0.2100328680  2.177460e-01 1.248323
#>  [126,] -0.4686971944 -6.542843e-01 1.345861
#>  [127,]  0.4795052646  7.894817e-01 1.250962
#>  [128,]  0.1620300264 -1.352751e+00 1.303775
#>  [129,] -2.2846573406  6.033856e-01 1.421490
#>  [130,] -1.2561160320  4.544478e-01 1.333277
#>  [131,] -0.6775046467 -1.958363e-01 1.339165
#>  [132,] -0.5667032945  4.600856e-01 1.226325
#>  [133,]  0.3288677564 -8.690698e-03 1.163298
#>  [134,] -0.2885339942  1.007977e+00 1.111032
#>  [135,] -0.5022183223 -6.044510e-01 1.282058
#>  [136,] -0.9842978893  3.821581e-01 1.225804
#>  [137,] -0.9527660542  8.855197e-01 1.226133
#>  [138,] -0.1408729274 -4.484989e-01 1.262599
#>  [139,] -0.0747086238  9.898377e-01 1.151440
#>  [140,] -0.4659613846  1.067592e+00 1.271236
#>  [141,] -0.7656982395 -4.984706e-01 1.178610
#>  [142,] -1.7529322139 -2.583205e-01 1.362619
#>  [143,] -0.1523996980  3.672844e-01 1.207968
#>  [144,]  0.4021867032  2.052093e-03 1.162769
#>  [145,]  0.5098850131 -4.047369e-01 1.226938
#>  [146,] -1.1860590146  4.180341e-01 1.173790
#>  [147,] -0.9915828758 -8.127332e-02 1.282660
#>  [148,] -0.7592522239  1.664530e+00 1.232266
#>  [149,] -0.6350923471  4.286149e-01 1.174893
#>  [150,] -0.8500471102 -3.289944e-01 1.327665
#>  [151,]  0.0455893258  6.810031e-01 1.236384
#>  [152,] -0.3974645082  2.910039e-01 1.125960
#>  [153,] -0.4639839175  3.738533e-01 1.153184
#>  [154,]  0.4779403278  5.293869e-01 1.158532
#>  [155,] -0.3062141440  1.620188e-01 1.227861
#>  [156,] -0.5739841382  1.615054e-01 1.251826
#>  [157,] -0.4467305362  5.177218e-01 1.289415
#>  [158,] -0.7194601236  5.009027e-02 1.230613
#>  [159,] -0.5507494090 -3.279748e-02 1.251802
#>  [160,] -0.2123226013  2.724771e-01 1.237933
#>  [161,] -1.2048951986  1.179700e+00 1.207749
#>  [162,]  0.3198620175 -1.203231e-01 1.235601
#>  [163,] -0.4043509107  6.225760e-01 1.223113
#>  [164,]  0.2084594113 -7.443258e-01 1.154429
#>  [165,] -0.8055534530  1.031517e+00 1.202982
#>  [166,]  0.2479642144 -3.352686e-01 1.224465
#>  [167,] -0.2455858418  2.981017e-01 1.111861
#>  [168,] -0.9348354515  6.874911e-01 1.275041
#>  [169,] -0.5121081183 -5.503266e-01 1.305576
#>  [170,] -1.0512324877  1.169373e-01 1.292267
#>  [171,] -0.0855679365  4.657699e-01 1.275200
#>  [172,]  0.3913375734 -9.353146e-01 1.253877
#>  [173,] -0.9863706641  5.501760e-01 1.234845
#>  [174,] -0.0950804476 -5.830588e-01 1.185304
#>  [175,]  0.6690223012 -1.003339e+00 1.125962
#>  [176,] -0.5933829356  2.521582e-01 1.310326
#>  [177,]  0.4561929967 -1.188436e-01 1.247970
#>  [178,] -0.4524115570 -1.171977e+00 1.285780
#>  [179,] -0.2147356675 -6.438434e-01 1.245428
#>  [180,] -0.3280830031 -6.726640e-01 1.283792
#>  [181,] -0.5360599641 -1.118631e-02 1.103310
#>  [182,]  0.3593418412  3.216924e-01 1.205266
#>  [183,] -0.0463320923  4.486533e-02 1.211983
#>  [184,]  0.0582426525 -1.386840e+00 1.287523
#>  [185,] -1.4321051143  1.197926e+00 1.379133
#>  [186,] -0.0968682703 -5.498934e-02 1.188871
#>  [187,] -0.8821141821 -8.146269e-01 1.311242
#>  [188,] -0.0918903141  2.701595e-01 1.335381
#>  [189,] -1.1058493856  1.071152e+00 1.232788
#>  [190,] -1.5191821589  6.675964e-01 1.286114
#>  [191,]  0.1203292581 -6.078855e-02 1.162369
#>  [192,] -1.4670924572 -9.476514e-02 1.285991
#>  [193,] -0.2702085700  3.637535e-01 1.133849
#>  [194,] -0.8505278025 -8.299243e-01 1.257418
#>  [195,]  0.7667677101  5.110090e-01 1.154302
#>  [196,]  0.4066648686 -9.777544e-01 1.103540
#>  [197,]  0.5716645082  1.247515e+00 1.148413
#>  [198,] -0.9188860179  3.403680e-01 1.203011
#>  [199,] -1.7625166020  1.269689e-01 1.388222
#>  [200,] -2.3766273513  4.648657e-01 1.390665
#>  [201,] -0.6228551981  2.779920e-01 1.345798
#>  [202,] -1.0533022410 -8.653413e-02 1.341045
#>  [203,] -1.3099575648  8.997460e-01 1.262216
#>  [204,] -0.3453491681 -3.475654e-01 1.309170
#>  [205,]  0.0187078900 -8.903373e-02 1.218612
#>  [206,] -1.4244704326 -7.302483e-01 1.300862
#>  [207,]  0.4529238553  9.146251e-02 1.221363
#>  [208,]  0.2616203786  8.035134e-01 1.210823
#>  [209,] -0.6802055398 -4.977132e-01 1.204598
#>  [210,]  0.1292253706 -4.245790e-01 1.193471
#>  [211,]  0.3520577002  9.556703e-01 1.119366
#>  [212,] -0.2344817397  2.843965e-01 1.278467
#>  [213,] -0.5949666853 -4.119449e-01 1.298793
#>  [214,]  0.2018604592  1.096057e+00 1.134544
#>  [215,]  0.1397566753 -3.439194e-01 1.079779
#>  [216,] -1.1572055506  6.533291e-01 1.250660
#>  [217,] -0.1219418041  9.267771e-01 1.247257
#>  [218,] -1.1928259211 -1.366215e-01 1.194890
#>  [219,] -0.5736625734  5.143647e-01 1.253344
#>  [220,]  0.3289552727  1.078876e+00 1.189372
#>  [221,]  0.4169021788 -3.932553e-01 1.187283
#>  [222,] -0.5137413454  3.866587e-02 1.245360
#>  [223,] -0.8120777761 -8.228140e-01 1.296052
#>  [224,] -0.4147912454 -1.740122e-01 1.183911
#>  [225,] -0.6164775185  3.354513e-01 1.276837
#>  [226,] -1.0616559429 -1.667165e-01 1.259564
#>  [227,] -0.7230543652  5.913942e-01 1.169396
#>  [228,] -0.3265787754  1.053032e+00 1.188270
#>  [229,]  0.0579507369  3.117220e-01 1.178148
#>  [230,]  0.1932585911  6.507067e-01 1.093262
#>  [231,] -0.8013623177 -3.400566e-01 1.199041
#>  [232,] -0.1417541329 -3.612411e-01 1.195094
#>  [233,] -0.7349566098  6.833461e-01 1.279295
#>  [234,]  0.5742329775  3.833252e-01 1.138452
#>  [235,] -0.8609149203  1.330226e-01 1.118967
#>  [236,] -0.9973152588  3.133110e-01 1.316335
#>  [237,]  0.3000342242  1.073709e+00 1.160769
#>  [238,]  0.3030281884 -1.286758e-01 1.192511
#>  [239,] -0.1050367020  1.241411e-01 1.242397
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#> [1892,] -1.1423936873  8.697372e-01 1.178565
#> [1893,] -0.8374024721 -6.689427e-01 1.254330
#> [1894,] -0.0477914852 -1.289908e-01 1.264020
#> [1895,] -0.3095167658  1.053728e+00 1.232995
#> [1896,] -0.5971460933  1.799760e-01 1.284157
#> [1897,] -0.5731806022  1.035109e+00 1.195877
#> [1898,]  0.3559919337  1.537740e-01 1.160942
#> [1899,] -0.9754028128 -1.633583e-01 1.283468
#> [1900,]  0.0374801113  8.983284e-01 1.225675
#> [1901,] -0.3561199759  6.912895e-02 1.223377
#> [1902,] -0.7748685839 -5.564091e-01 1.238442
#> [1903,] -0.9356765765  1.829556e+00 1.165403
#> [1904,]  0.0267663192 -3.764353e-02 1.154294
#> [1905,] -1.6614174670  8.497757e-01 1.254988
#> [1906,] -0.4449198594 -2.808220e-01 1.216734
#> [1907,] -0.3272731562  7.477076e-01 1.118267
#> [1908,]  0.4362696594  2.668842e-01 1.177912
#> [1909,] -0.9058125890  5.707274e-01 1.176364
#> [1910,]  0.1284585822 -2.622928e-01 1.246154
#> [1911,]  1.0848972046 -1.280884e+00 1.130527
#> [1912,] -0.5041988115 -7.325491e-01 1.193743
#> [1913,] -0.0458001881  2.286318e-01 1.163036
#> [1914,]  0.0101831703 -1.539240e-01 1.173946
#> [1915,]  0.5543877230  1.104906e+00 1.148230
#> [1916,]  0.1836229209  4.955045e-01 1.160214
#> [1917,] -0.1399778283  1.007280e+00 1.138433
#> [1918,]  0.4697132970 -2.067171e-01 1.170987
#> [1919,] -0.3600835222 -1.903187e-02 1.186693
#> [1920,] -0.1996034247  2.441446e-01 1.219467
#> [1921,]  0.2778517588 -2.761738e-01 1.224688
#> [1922,] -0.1486502929  4.959413e-01 1.215728
#> [1923,] -0.0133225101  1.012873e+00 1.142473
#> [1924,] -0.8103026927  1.584472e-01 1.205219
#> [1925,] -0.0566616815  1.714043e-01 1.180989
#> [1926,]  0.3723144542  1.088501e+00 1.142623
#> [1927,] -1.1636000078 -2.317153e-03 1.152460
#> [1928,] -1.7782965179  6.275646e-01 1.248705
#> [1929,]  0.0706023851  9.047478e-01 1.223911
#> [1930,] -0.4588066245  8.873773e-01 1.201126
#> [1931,] -0.0581018802  1.158371e+00 1.194610
#> [1932,] -1.3219129063 -1.676795e-01 1.240150
#> [1933,]  0.1882330247  6.556463e-01 1.177633
#> [1934,] -0.2568707253 -1.153892e+00 1.199245
#> [1935,]  0.2276664245 -2.536097e-01 1.218204
#> [1936,] -0.2981460076  2.211588e-01 1.236249
#> [1937,] -0.1110264831  4.037450e-02 1.219470
#> [1938,] -0.2383899149  1.281700e+00 1.195375
#> [1939,] -0.3629187122  2.513799e-01 1.235943
#> [1940,] -0.4645557923  2.888226e-02 1.313853
#> [1941,] -1.1026880300  4.009855e-01 1.305123
#> [1942,]  0.1003260400 -9.270789e-02 1.250610
#> [1943,] -1.0670537196  9.639092e-01 1.352539
#> [1944,]  0.1073238968  6.481797e-01 1.130518
#> [1945,] -0.4731885711  5.018836e-01 1.187556
#> [1946,] -2.1121401938  1.001780e+00 1.292052
#> [1947,] -0.2541990665 -1.266641e-01 1.311546
#> [1948,] -0.5482896827 -1.871510e-01 1.182808
#> [1949,]  1.0405156163 -1.400415e-01 1.124753
#> [1950,]  0.2385474013 -3.592337e-01 1.217379
#> [1951,]  0.1364843600  6.338318e-01 1.143824
#> [1952,] -0.7713058986 -1.004061e+00 1.221146
#> [1953,] -0.9202260652  1.508186e+00 1.192984
#> [1954,]  1.0389884429 -5.804718e-01 1.171823
#> [1955,] -0.1459513768 -9.020885e-01 1.250401
#> [1956,] -1.2452067269 -1.497620e-01 1.253958
#> [1957,] -0.3386049198  2.729143e-01 1.261714
#> [1958,] -0.6705231049  2.150219e-01 1.190197
#> [1959,] -0.2753696388 -8.958330e-02 1.126692
#> [1960,]  0.2225320537 -3.709587e-01 1.207486
#> [1961,]  0.5644376594 -9.301476e-02 1.272533
#> [1962,] -0.8137027184  7.337114e-01 1.231508
#> [1963,] -0.9879954539  4.059098e-01 1.277392
#> [1964,] -1.0642837239  3.560611e-01 1.317561
#> [1965,]  0.3675385757 -3.302004e-01 1.198238
#> [1966,] -0.5508130479  1.235579e+00 1.173876
#> [1967,] -0.8067161253  1.861951e+00 1.188647
#> [1968,] -0.5198737916 -2.009243e-02 1.227338
#> [1969,]  0.9135507427 -4.299443e-01 1.274957
#> [1970,] -0.3046758668  5.512260e-01 1.102580
#> [1971,] -1.5114093166 -2.736396e-01 1.269267
#> [1972,] -1.4211389305  4.923604e-01 1.280095
#> [1973,] -1.0844358847  6.529899e-01 1.284919
#> [1974,] -0.6442564992 -2.891343e-01 1.285483
#> [1975,] -0.5667962196  3.120966e-01 1.281982
#> [1976,] -0.5072946935  2.440155e-01 1.299859
#> [1977,]  0.6972302695 -8.690309e-01 1.241739
#> [1978,]  0.1485536092  1.567109e-01 1.023722
#> [1979,] -0.1411380575  3.053208e-01 1.162399
#> [1980,]  0.0136653698  4.721650e-01 1.246755
#> 
#> attr(,"class")
#> [1] "mcmc.list"
#> 
#> [[4]]
#> NULL