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.   : 3.150   Min.   : 0.2280  
#>  1st Qu.: 6.552   1st Qu.: 0.6985  
#>  Median :11.522   Median : 1.6847  
#>  Mean   :13.710   Mean   : 2.3755  
#>  3rd Qu.:17.622   3rd Qu.: 3.4296  
#>  Max.   :52.830   Max.   :11.2009

CV2=(model$Est_area$SD)/(model$Est_area$Mean)*100
MSE2=model$Est_area$SD^2
summary(cbind(CV2,MSE2))
#>       CV2              MSE2       
#>  Min.   : 3.730   Min.   :0.1599  
#>  1st Qu.: 5.213   1st Qu.:0.4358  
#>  Median : 7.392   Median :0.6915  
#>  Mean   : 8.603   Mean   :1.0102  
#>  3rd Qu.:11.386   3rd Qu.:1.2496  
#>  Max.   :19.611   Max.   :3.5963

dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#>      dirCV               CV        
#>  Min.   :  3.187   Min.   : 3.150  
#>  1st Qu.:  6.642   1st Qu.: 6.552  
#>  Median : 12.764   Median :11.522  
#>  Mean   : 25.141   Mean   :13.710  
#>  3rd Qu.: 21.041   3rd Qu.:17.622  
#>  Max.   :680.378   Max.   :52.830

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

model$refVar
#>   var_area  var_sub
#> 1 8.040705 8.784105

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,] -0.739107886  0.5426564235 1.234228
#>    [2,] -0.644374954  1.0739529923 1.226397
#>    [3,] -0.597797488 -0.6121645378 1.255090
#>    [4,] -0.145731752  0.1770570753 1.242497
#>    [5,] -1.276202120  0.1913106993 1.348151
#>    [6,] -0.301263527  0.0934289180 1.250403
#>    [7,] -1.251022363 -0.4252143296 1.318318
#>    [8,] -1.224485237 -0.5055606644 1.359902
#>    [9,]  0.130324862  0.0474149526 1.155236
#>   [10,] -0.975580329  0.7582907219 1.204156
#>   [11,] -0.998356993  0.6628774820 1.152451
#>   [12,] -1.094576691 -0.7531086786 1.327638
#>   [13,] -0.220217292 -0.5728840875 1.257189
#>   [14,] -0.731787820  1.0469429612 1.195605
#>   [15,] -1.426664916 -0.9314468225 1.358375
#>   [16,] -0.652321696 -0.3344991899 1.266324
#>   [17,] -1.183870582 -0.4400834287 1.337573
#>   [18,] -1.268203235  0.3812759820 1.377736
#>   [19,]  0.408445729 -0.2006069264 1.219338
#>   [20,] -0.997569367  0.7677607266 1.202654
#>   [21,] -0.957654953 -0.3073560134 1.284686
#>   [22,] -0.214856348 -0.5489974804 1.261799
#>   [23,] -1.318234032 -0.3117136815 1.279008
#>   [24,] -0.497476963  0.9490323137 1.151304
#>   [25,] -0.016378250  1.1160676215 1.112796
#>   [26,] -0.655081245  0.4700894969 1.117019
#>   [27,] -1.608008045  0.3801921774 1.198278
#>   [28,] -0.074268286 -0.8582805559 1.374256
#>   [29,] -1.155077081  1.5191077818 1.347713
#>   [30,] -1.298607555  0.5035549241 1.241247
#>   [31,] -0.912744565  0.9510293086 1.220153
#>   [32,] -0.898572874  0.4223473596 1.261193
#>   [33,] -1.377539693  0.8451522416 1.216654
#>   [34,] -0.549810813 -0.6471977198 1.231830
#>   [35,] -0.205408987  0.9158073320 1.229624
#>   [36,] -1.234548290  0.3848531441 1.339122
#>   [37,] -0.185392145  0.0790558826 1.235937
#>   [38,] -0.854887818  0.8327618423 1.257802
#>   [39,] -0.746978866  0.6577717529 1.171294
#>   [40,] -0.633976070  1.1473831924 1.284711
#>   [41,] -0.456735449  0.8991582364 1.300054
#>   [42,] -0.623383289 -0.3539772035 1.300640
#>   [43,] -1.265382528 -0.2482146132 1.272494
#>   [44,] -1.253255592  0.4146187232 1.321636
#>   [45,] -0.501987685  0.5935003410 1.259557
#>   [46,]  1.004062014  0.3094274611 1.091935
#>   [47,] -0.781105964  0.0118137436 1.260775
#>   [48,] -0.357574189  1.4922537548 1.148712
#>   [49,] -0.138687389  0.2975417002 1.141734
#>   [50,] -1.090070417  1.0213007432 1.122925
#>   [51,] -0.702484274  0.4888375970 1.237652
#>   [52,] -0.069538263  0.5648330381 1.246684
#>   [53,] -1.211899449  1.0981669032 1.356486
#>   [54,] -0.702016856  0.3068914105 1.265883
#>   [55,] -0.146880989  0.4420075793 1.216684
#>   [56,] -0.155295028 -0.0750289903 1.222301
#>   [57,] -0.315581108  0.6559471169 1.161094
#>   [58,] -0.824476983  0.4633049075 1.240386
#>   [59,] -0.570390726  0.4995271909 1.224580
#>   [60,] -0.698136695  0.9380576287 1.306731
#>   [61,]  0.014261091  0.0948062786 1.219296
#>   [62,]  0.617891673  0.5318665785 1.026299
#>   [63,] -0.678529318  0.8811223967 1.171184
#>   [64,]  0.189477385 -0.6753768081 1.331403
#>   [65,]  0.740603595 -0.2913006830 1.144343
#>   [66,] -0.053024123 -0.5264621151 1.102780
#>   [67,] -1.606725340  0.1892269658 1.244420
#>   [68,] -0.431770967  0.4126581483 1.179716
#>   [69,] -0.815748103  1.1030394166 1.227194
#>   [70,]  0.256626944  0.4489616817 1.179361
#>   [71,] -0.744519481  0.7005832731 1.233574
#>   [72,]  0.682921860 -0.3417966358 1.096336
#>   [73,] -0.962018665  1.8721189633 1.214978
#>   [74,]  0.590926660  0.1940871173 1.222424
#>   [75,] -0.245847725 -0.5943268732 1.228107
#>   [76,] -0.685026276 -0.0424019980 1.167142
#>   [77,] -0.489113427 -0.2508981994 1.322627
#>   [78,]  0.439989843  1.1685660839 1.159914
#>   [79,] -0.244179138  0.4936221548 1.118357
#>   [80,] -0.445402922  0.6238723161 1.195384
#>   [81,] -1.472565778  0.8666705700 1.294167
#>   [82,] -1.325741230  0.7602208201 1.307991
#>   [83,] -1.686374906  0.8019625298 1.324077
#>   [84,] -0.888979342  0.4719643682 1.235334
#>   [85,] -0.818448748  0.0476091423 1.307143
#>   [86,] -0.332671499  0.4721237217 1.236363
#>   [87,]  0.431374027 -0.9324372250 1.220513
#>   [88,]  0.462700173 -0.5042258499 1.185389
#>   [89,] -0.893823693 -0.3564233328 1.232100
#>   [90,] -1.242793691 -0.4969283796 1.338246
#>   [91,]  0.614525722  0.3704924634 1.145626
#>   [92,] -1.151157025 -0.4667259391 1.323005
#>   [93,] -0.438248205  0.8609464963 1.240538
#>   [94,] -0.358358362 -0.4532425129 1.230756
#>   [95,] -0.733538826  0.8704251298 1.207931
#>   [96,] -0.603318852  0.7053861723 1.224872
#>   [97,]  0.632938580 -0.7316034632 1.233727
#>   [98,] -0.161272271  0.1242457734 1.169185
#>   [99,] -0.792589325  1.5989722938 1.302820
#>  [100,]  0.075487082  0.4619409575 1.233126
#>  [101,] -1.720702144  0.8341902803 1.250429
#>  [102,] -1.571365073  0.5040583957 1.186657
#>  [103,] -0.418437772  0.4675135402 1.250069
#>  [104,] -0.993181027  0.7006150484 1.249253
#>  [105,] -0.876164528  1.1578435745 1.206496
#>  [106,]  0.230657816 -0.2939591455 1.217444
#>  [107,] -0.026646677  1.4363317163 1.162940
#>  [108,]  0.357846492  0.2296125481 1.123295
#>  [109,]  0.669298094 -0.5122183213 1.250147
#>  [110,] -1.448713274  0.2279223585 1.296172
#>  [111,] -1.008037857  0.3801888645 1.306168
#>  [112,] -1.037843417  0.3401133293 1.257240
#>  [113,] -1.312012158  0.6254892733 1.285201
#>  [114,] -1.330389624  1.0291669821 1.209556
#>  [115,] -0.920238485  0.4941775807 1.207162
#>  [116,]  0.235370858  1.6307370322 1.127400
#>  [117,] -0.093460447  0.2990099268 1.161591
#>  [118,] -1.340714892  0.6197660966 1.338493
#>  [119,] -1.094651503  0.3363862658 1.346090
#>  [120,] -0.354052078  0.4065970450 1.143026
#>  [121,] -0.613079954  0.1684624191 1.219438
#>  [122,] -0.844630287 -0.4833602718 1.340890
#>  [123,] -0.776575390  1.0867396058 1.291705
#>  [124,]  0.097624749 -0.0370033439 1.244254
#>  [125,] -1.026799025 -0.1434061648 1.413540
#>  [126,] -0.854067022  1.2947023439 1.191519
#>  [127,] -0.818697305 -0.5478037114 1.267040
#>  [128,]  0.073261565  0.9471117915 1.235339
#>  [129,] -0.454212586  1.3280417525 1.203481
#>  [130,] -1.181246049 -1.0619308525 1.273148
#>  [131,] -2.150497277  0.0477206084 1.305330
#>  [132,] -0.136235043  0.6617966361 1.260554
#>  [133,]  0.037760368  0.3463966125 1.250782
#>  [134,] -0.714112166  0.8997990153 1.251768
#>  [135,] -1.253151463 -0.0746715498 1.284239
#>  [136,] -0.781481739  0.6181353449 1.258840
#>  [137,] -0.173464345  0.2323074726 1.218984
#>  [138,] -0.573635478  0.8774415144 1.199414
#>  [139,] -1.377181443  0.2411895721 1.319663
#>  [140,] -1.138006537 -0.0651637395 1.219021
#>  [141,]  0.975751699 -0.3079177466 1.128782
#>  [142,] -0.107120083 -1.1852758851 1.254996
#>  [143,] -1.005261945 -0.4960333794 1.254449
#>  [144,]  0.098455948  0.6815425229 1.122452
#>  [145,] -0.770990189 -0.3847453364 1.146181
#>  [146,] -1.145345591  0.3228381962 1.254408
#>  [147,] -0.462370169  0.1636674184 1.227961
#>  [148,]  1.207207419  0.4849135417 1.091316
#>  [149,] -0.390841977  0.4887026481 1.160555
#>  [150,]  0.615915942 -0.2890916595 1.140535
#>  [151,] -1.037132684 -0.3694648968 1.380574
#>  [152,] -0.937022572  0.0234998084 1.333926
#>  [153,] -0.628891946  0.2419281499 1.328745
#>  [154,] -0.530096876  1.4082559449 1.325172
#>  [155,] -0.978659712 -0.5023951861 1.265860
#>  [156,] -1.234888081  1.4106147939 1.162098
#>  [157,] -1.244043391  0.0726785654 1.240895
#>  [158,] -1.556967293  0.1414091935 1.377418
#>  [159,] -1.001023972  1.1128390707 1.230286
#>  [160,] -0.970606328 -0.2026975427 1.392799
#>  [161,] -1.730184776  0.9950971141 1.253121
#>  [162,] -1.377079817 -0.4985073976 1.344706
#>  [163,] -0.478238870 -0.4050948988 1.279211
#>  [164,]  0.479920260 -0.2451853927 1.176156
#>  [165,]  0.629915597 -0.1938390405 1.219384
#>  [166,] -0.140557087  1.4001575510 1.232700
#>  [167,] -1.592555122  1.1826418765 1.284260
#>  [168,]  0.482566919  0.4071349377 1.225657
#>  [169,] -0.894855324 -0.4304306363 1.279229
#>  [170,] -1.527753928  0.6848351780 1.359008
#>  [171,] -0.713134031  0.4950713433 1.285763
#>  [172,] -0.275234257 -0.3787837974 1.252059
#>  [173,] -1.162626447  0.5402694645 1.307003
#>  [174,]  0.117692476 -0.5504257854 1.310603
#>  [175,]  0.218432591  0.2686929971 1.199672
#>  [176,]  0.496768882  0.3815729013 1.154224
#>  [177,] -0.781185306 -0.6246448252 1.243920
#>  [178,] -0.711511894 -0.3093240337 1.255938
#>  [179,] -0.365343435 -0.2725740549 1.275438
#>  [180,] -0.920209301  0.1565559798 1.299989
#>  [181,] -0.355626813 -0.0202311469 1.336282
#>  [182,]  0.398410889 -0.1939000987 1.308421
#>  [183,]  0.013720748  0.7661626688 1.278183
#>  [184,] -0.745537683 -0.3330677211 1.212016
#>  [185,] -0.119226698  1.8839487365 1.160311
#>  [186,]  0.112260470 -0.3590471101 1.224116
#>  [187,]  0.269230331  0.7762061013 1.156243
#>  [188,] -0.449806223  0.8377811725 1.172178
#>  [189,] -0.576472042 -0.2270854906 1.179029
#>  [190,] -1.563105087  1.0588567542 1.223541
#>  [191,] -2.159009795  0.5956511920 1.363307
#>  [192,] -1.419756810 -0.4813815153 1.315662
#>  [193,]  0.035833382 -0.1376326435 1.241983
#>  [194,] -1.681571237  0.1233890264 1.341033
#>  [195,]  0.348162637  0.0740856577 1.153029
#>  [196,] -0.120210437  0.3827176920 1.219558
#>  [197,]  0.324192729 -0.1093761341 1.178567
#>  [198,] -0.230127208  1.0380889654 1.185739
#>  [199,]  0.189095482  0.4983885528 1.243003
#>  [200,] -1.362401587  1.5871728611 1.218102
#>  [201,] -1.231035791  0.5096311453 1.334963
#>  [202,] -0.978186965 -0.4206965164 1.298686
#>  [203,] -1.026205005  1.2105824848 1.173335
#>  [204,]  0.591621621 -0.6820182433 1.157062
#>  [205,] -0.053702026 -0.1459478323 1.255971
#>  [206,]  0.147474590  0.8613272071 1.187687
#>  [207,]  0.080618602  0.1147361911 1.175609
#>  [208,] -0.289740786 -0.3126198700 1.262242
#>  [209,] -1.125246886  0.8797726586 1.232220
#>  [210,]  0.492317200  0.5968041576 1.169560
#>  [211,]  0.116887577 -0.4530719220 1.189832
#>  [212,] -0.737947320 -0.0175720453 1.213570
#>  [213,] -0.253298989  0.6417093514 1.177554
#>  [214,]  1.001275497 -0.4108043213 1.191686
#>  [215,]  1.033868400 -0.1597308755 1.004385
#>  [216,] -0.786239284  0.0638726740 1.186567
#>  [217,]  0.128667394  0.2574427596 1.180229
#>  [218,] -1.453082443  0.2460296226 1.353580
#>  [219,] -1.321468023 -0.1125406521 1.229220
#>  [220,] -1.067493863  0.7643129370 1.227071
#>  [221,] -0.388708823 -0.3267266143 1.268649
#>  [222,] -0.376008388 -0.8447440136 1.216412
#>  [223,]  0.783344948  0.2215861344 1.242656
#>  [224,]  0.686924259 -0.8084777077 1.182989
#>  [225,]  0.125942410  0.4752840514 1.217162
#>  [226,] -0.490078121 -0.0533675526 1.255014
#>  [227,] -0.551276832  0.4165794943 1.190084
#>  [228,] -0.433090144 -0.2111853721 1.253481
#>  [229,]  0.028611852  0.6633654982 1.200130
#>  [230,] -1.487995921  0.2807325072 1.240985
#>  [231,] -1.176904030  0.6318528323 1.342235
#>  [232,]  0.357874142  0.8162394596 1.184879
#>  [233,] -0.432365587 -1.2454257073 1.321804
#>  [234,] -0.718261230  0.1177553791 1.301429
#>  [235,] -0.118964693  0.6506338322 1.162069
#>  [236,] -0.056434659  0.1112416881 1.172595
#>  [237,] -0.434300142  1.7231072136 1.188256
#>  [238,]  0.210024610  0.7522161042 1.214368
#>  [239,]  0.769560306 -0.0021930225 1.113838
#>  [240,] -0.449095200 -0.0508990853 1.233317
#>  [241,] -0.331640166  0.5386309588 1.244683
#>  [242,]  0.418655086  0.3878816277 1.116944
#>  [243,]  0.565602962 -0.6860393553 1.102079
#>  [244,] -1.335509177 -0.1705775537 1.334592
#>  [245,] -1.613912849  1.1140399566 1.232909
#>  [246,] -0.512697567  0.3906134441 1.327985
#>  [247,] -1.255112827  0.0810012511 1.362400
#>  [248,] -0.950794273 -0.6157851674 1.347727
#>  [249,] -1.057221931  0.7281638449 1.253327
#>  [250,]  0.201242898 -0.3074577557 1.208761
#>  [251,] -0.323005020  0.0729123610 1.156404
#>  [252,] -0.526845857 -0.6151523243 1.278348
#>  [253,] -0.699898731  0.3500561556 1.208571
#>  [254,] -0.522792800  0.7605234827 1.302069
#>  [255,] -0.890668348 -0.0848677272 1.271202
#>  [256,] -0.610612591  0.9527307923 1.291928
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#>  [817,]  1.195322926  0.5272415856 1.149096
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#>  [819,] -0.833375958  1.0337517753 1.193145
#>  [820,]  0.334448777  0.4080313160 1.137707
#>  [821,]  0.785560486  0.6843140419 1.053171
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#>  [829,] -0.817446571  0.0396058393 1.310190
#>  [830,] -0.063397795 -0.7110298223 1.301298
#>  [831,] -0.589435237  0.3036554360 1.269960
#>  [832,] -1.036596505  0.1212635270 1.285603
#>  [833,] -1.783271147  0.4492836560 1.310012
#>  [834,] -0.403077449  0.4117781044 1.259380
#>  [835,] -1.562575314  1.1068792614 1.275421
#>  [836,] -0.094925145 -0.3577309383 1.257513
#>  [837,]  0.512405954  0.5497368270 1.154351
#>  [838,]  0.496950410 -0.2826910634 1.238896
#>  [839,] -0.296905282  0.3454016398 1.179032
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#> [1900,] -0.144812498 -0.7255252312 1.205565
#> [1901,] -0.652608358  0.9192313478 1.236424
#> [1902,] -0.361204773 -0.8367743219 1.288671
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#> [1904,] -0.445052884  0.1588767060 1.254281
#> [1905,]  0.257611559  0.3048443873 1.152133
#> [1906,]  0.186976414 -1.2362139726 1.202963
#> [1907,]  0.787031486 -0.2526966245 1.142356
#> [1908,]  0.377617553  0.3721851241 1.226069
#> [1909,] -0.767173392  0.1684221263 1.298600
#> [1910,] -1.013874307  0.4488704511 1.344895
#> [1911,] -0.628130557  1.0526664563 1.307158
#> [1912,]  0.130950214  0.4933136037 1.191277
#> [1913,] -0.800309106 -0.1056636269 1.273780
#> [1914,] -1.014986455 -0.8306048004 1.273156
#> [1915,]  0.593435047 -0.2282923156 1.236030
#> [1916,]  0.435961325  0.5577062872 1.204670
#> [1917,] -0.202801457  1.4297940751 1.140105
#> [1918,] -0.751045023 -0.0597392268 1.181685
#> [1919,]  0.689331682  0.4151554565 1.084996
#> [1920,] -0.437925291 -0.4747665396 1.189696
#> [1921,] -0.382692537  0.5187079238 1.221548
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#> [1929,] -1.069463327  0.3852194657 1.266279
#> [1930,] -0.166480558  0.1987661644 1.187896
#> [1931,]  0.276524462 -0.5187687780 1.238556
#> [1932,] -0.399181665  0.6228803107 1.197207
#> [1933,]  0.176491263  0.2595247608 1.161484
#> [1934,]  0.116522624  0.3246373897 1.148021
#> [1935,] -0.360889301 -0.0536302901 1.212152
#> [1936,] -1.270073772 -0.4014100311 1.247642
#> [1937,]  0.068852850 -0.3575268561 1.275787
#> [1938,] -1.985880180  0.2723999396 1.328194
#> [1939,] -0.614656446  0.7295058505 1.256722
#> [1940,]  0.601453467  0.3144447661 1.185429
#> [1941,]  0.105126474  0.6335999934 1.165743
#> [1942,] -0.957113249  1.2713214901 1.170465
#> [1943,] -0.369802566  0.9038418016 1.209936
#> [1944,] -0.986551284  0.8481016343 1.275964
#> [1945,] -0.342969963 -0.7294425090 1.214083
#> [1946,] -0.716031729  0.0479754485 1.282623
#> [1947,]  0.343672137 -0.4304011003 1.293591
#> [1948,] -0.092828140  0.1987181907 1.219101
#> [1949,]  1.047041979  0.6862868179 1.152487
#> [1950,] -1.632733735  0.5697203273 1.245064
#> [1951,] -1.255631115  0.8491612949 1.238788
#> [1952,] -0.910146110  0.7449924085 1.291340
#> [1953,] -0.930261556 -0.1008146552 1.321975
#> [1954,] -0.799094996  0.5463347902 1.284101
#> [1955,] -0.198361093  0.2639838101 1.317133
#> [1956,]  0.343476423 -0.9437425323 1.207316
#> [1957,]  0.015159893 -1.1571603183 1.284868
#> [1958,] -0.908025719  1.2074182012 1.290830
#> [1959,] -1.316204807 -0.4387696356 1.336958
#> [1960,] -1.461825450  0.7713613117 1.199537
#> [1961,] -0.263303001 -0.1013130540 1.212374
#> [1962,] -0.879663243  0.1542651413 1.298167
#> [1963,] -0.248394559  0.3969540429 1.206682
#> [1964,] -0.581734847  0.7597395552 1.176579
#> [1965,]  0.378659199 -0.4350062532 1.117514
#> [1966,] -0.674311586 -0.3256664223 1.215391
#> [1967,] -0.016547607 -0.3944979988 1.276895
#> [1968,] -0.524605852  1.0008155147 1.192550
#> [1969,] -0.017413298  0.2536058845 1.247266
#> [1970,] -0.271191088 -0.1952943838 1.211842
#> [1971,] -1.265874537  0.2593441957 1.277978
#> [1972,] -1.070618318  1.1581405749 1.249454
#> [1973,]  0.018306239 -0.0741669132 1.210182
#> [1974,] -0.713509950 -0.1894234363 1.226268
#> [1975,] -1.944263525  0.8042338704 1.365122
#> [1976,] -0.262306234 -0.1021859960 1.255912
#> [1977,] -0.924795607 -0.2765318675 1.328291
#> [1978,] -1.304509921 -0.1301006465 1.319095
#> [1979,] -0.164059355  0.1722996669 1.209924
#> [1980,] -0.339254280  0.4626746499 1.249932
#> 
#> attr(,"class")
#> [1] "mcmc.list"
#> 
#> [[4]]
#> NULL