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.   : 3.135   Min.   : 0.2339  
#>  1st Qu.: 6.510   1st Qu.: 0.7148  
#>  Median :11.568   Median : 1.7195  
#>  Mean   :13.718   Mean   : 2.3789  
#>  3rd Qu.:17.378   3rd Qu.: 3.3370  
#>  Max.   :51.528   Max.   :10.3745

CV2=(model$Est_area$SD)/(model$Est_area$Mean)*100
MSE2=model$Est_area$SD^2
summary(cbind(CV2,MSE2))
#>       CV2              MSE2       
#>  Min.   : 3.770   Min.   :0.1537  
#>  1st Qu.: 5.215   1st Qu.:0.4358  
#>  Median : 7.385   Median :0.6803  
#>  Mean   : 8.625   Mean   :1.0161  
#>  3rd Qu.:11.811   3rd Qu.:1.2699  
#>  Max.   :19.916   Max.   :3.6382

dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#>      dirCV               CV        
#>  Min.   :  3.187   Min.   : 3.135  
#>  1st Qu.:  6.642   1st Qu.: 6.510  
#>  Median : 12.764   Median :11.568  
#>  Mean   : 25.141   Mean   :13.718  
#>  3rd Qu.: 21.041   3rd Qu.:17.378  
#>  Max.   :680.378   Max.   :51.528

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

model$refVar
#>   var_area  var_sub
#> 1 8.166111 8.761342

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,] -3.471631e-01  0.9875995255 1.2661372
#>    [2,]  2.590061e-01  0.5292878751 1.1369642
#>    [3,]  2.177138e-01  0.2372337745 1.1562350
#>    [4,] -5.161079e-01 -0.0589632395 1.1614956
#>    [5,] -8.314276e-01  0.2031281137 1.2766062
#>    [6,] -2.736928e-01  0.2846432741 1.2318003
#>    [7,] -2.504927e-01  0.6533371874 1.2496269
#>    [8,] -4.756945e-03 -0.1677232259 1.2159043
#>    [9,] -9.965915e-01 -0.5969660265 1.2816119
#>   [10,] -7.936116e-02 -1.3610991576 1.2415115
#>   [11,]  3.011524e-01  1.0216523199 1.2660281
#>   [12,]  5.323573e-02 -0.6626545494 1.1692323
#>   [13,] -2.770406e-01  0.5605295616 1.1598493
#>   [14,] -8.909863e-01  0.1982932734 1.2005715
#>   [15,] -1.032895e+00  1.1646493845 1.1836763
#>   [16,]  3.467778e-01  0.2286683362 1.2710405
#>   [17,] -9.054102e-01 -0.1436822102 1.3143227
#>   [18,] -4.332532e-02  0.6910137835 1.1865306
#>   [19,] -6.311801e-03  0.3217025318 1.1548304
#>   [20,] -4.798262e-01 -0.3102108919 1.2673467
#>   [21,] -5.914603e-01  0.4518245903 1.2441454
#>   [22,] -1.261160e+00  0.7576324306 1.2683255
#>   [23,]  3.505831e-01 -0.1509116851 1.1442555
#>   [24,] -7.463438e-01  0.7980186410 1.2670831
#>   [25,] -2.994859e-01  0.0789233701 1.2726767
#>   [26,]  2.908262e-01 -1.0566137695 1.2026271
#>   [27,] -8.621847e-02 -0.3766840545 1.2491084
#>   [28,] -6.982380e-01  0.0997345923 1.2189628
#>   [29,]  2.386039e-01  0.2110901729 1.2589034
#>   [30,] -1.844003e+00 -0.2734583333 1.3474310
#>   [31,]  2.880632e-01 -0.2818014722 1.2539418
#>   [32,] -5.198949e-01  0.2778570405 1.2389736
#>   [33,] -6.948509e-01 -0.1364322461 1.2943588
#>   [34,] -6.062570e-01  0.8881141320 1.2226651
#>   [35,] -6.464512e-01 -0.0499239539 1.2811785
#>   [36,]  3.053144e-01 -0.1357249457 1.2104408
#>   [37,] -2.043413e+00  0.3802014750 1.3238658
#>   [38,] -1.138483e+00  0.2693185213 1.3102651
#>   [39,] -5.697134e-01  0.4525048283 1.2515437
#>   [40,] -9.214041e-01 -0.7703180277 1.3293922
#>   [41,] -4.252065e-01  0.3038222170 1.2793911
#>   [42,] -4.223817e-01  0.9747625230 1.2607614
#>   [43,]  1.345354e-01 -0.5082727737 1.1908544
#>   [44,] -4.245591e-02  0.5014868209 1.2484470
#>   [45,] -1.343645e+00  0.4244797981 1.2942145
#>   [46,] -5.647262e-01  0.6892325688 1.2951449
#>   [47,] -3.123007e-02  0.6106580260 1.1836019
#>   [48,] -4.535685e-01 -0.0883936970 1.2179375
#>   [49,]  2.313632e-02 -0.0948226073 1.2915758
#>   [50,]  9.683497e-01  0.2142003522 1.1698551
#>   [51,] -2.228876e-01  0.0564387497 1.2431160
#>   [52,] -5.721053e-01 -0.1077138917 1.2192105
#>   [53,] -3.071979e-02  0.6073485681 1.2421530
#>   [54,]  3.854927e-01  0.2634189374 1.1304926
#>   [55,]  1.041027e+00  0.1791133975 1.0903873
#>   [56,] -1.213397e+00  1.3361385795 1.1513681
#>   [57,] -7.656970e-01  0.5245891685 1.2316650
#>   [58,] -8.028738e-01  0.5998118872 1.2993345
#>   [59,] -1.140003e+00  0.5532453546 1.2735513
#>   [60,]  4.522808e-01 -0.0894263583 1.1569877
#>   [61,]  6.226684e-01 -0.2770089190 1.1734626
#>   [62,] -2.852021e-01 -0.1677638501 1.3190119
#>   [63,] -4.241947e-01 -0.0778064927 1.2670093
#>   [64,]  4.109439e-01  0.1152103555 1.2664417
#>   [65,] -3.396581e-02  0.7156992005 1.1424917
#>   [66,] -6.168279e-01 -0.1849227306 1.2130813
#>   [67,] -6.397966e-01 -0.9229153355 1.2245415
#>   [68,] -5.569959e-01  1.1137454347 1.1691825
#>   [69,]  2.012198e-01  0.0975572882 1.1800675
#>   [70,]  9.666716e-01  0.3419140006 1.1298766
#>   [71,] -3.534920e-01 -0.1895094832 1.2383762
#>   [72,] -1.232477e+00 -0.5053922970 1.2512829
#>   [73,] -1.272062e-01 -0.0687545871 1.3097720
#>   [74,] -1.360062e+00  0.9148867559 1.2071455
#>   [75,]  6.081117e-01  0.3802265781 1.1634287
#>   [76,]  1.128680e+00 -0.0750819952 1.1042940
#>   [77,]  4.734728e-01  0.1946873173 1.1784512
#>   [78,] -2.839279e-02 -0.1095866372 1.2311016
#>   [79,] -9.771170e-01  0.3747095365 1.2322816
#>   [80,]  3.098414e-01  0.1998866730 1.2339015
#>   [81,] -1.032873e+00  0.6148336113 1.2550652
#>   [82,] -1.758788e+00  0.6184262573 1.3800780
#>   [83,] -9.273665e-01 -0.2585639505 1.3473161
#>   [84,] -5.836958e-01  1.0214621790 1.1584797
#>   [85,]  5.451409e-01 -0.1370684944 1.1773654
#>   [86,] -6.260232e-01 -0.0844080557 1.2904600
#>   [87,] -1.235341e+00  0.5904065590 1.3275464
#>   [88,] -7.123143e-01  0.8258925763 1.2188659
#>   [89,] -1.721259e+00 -0.2960086605 1.3984861
#>   [90,]  6.539618e-02  0.6960411786 1.2423451
#>   [91,]  2.271238e-01 -0.5712635412 1.1818733
#>   [92,] -1.905446e-01 -0.4472382146 1.2032149
#>   [93,] -1.928093e+00  0.0188454442 1.4214010
#>   [94,] -6.184245e-01  1.0084669769 1.2673412
#>   [95,] -3.065215e-01  0.6989022584 1.1947926
#>   [96,]  7.367504e-01  0.5094916577 1.1630471
#>   [97,] -3.969403e-01  0.2104088527 1.1979068
#>   [98,]  9.148512e-01  0.3683261386 1.1144961
#>   [99,]  6.866109e-01  0.1097762297 1.1621013
#>  [100,] -2.275967e-02  0.1822345552 1.2019866
#>  [101,] -1.309130e-01  0.6482227607 1.1856239
#>  [102,] -6.637183e-01  1.3615495404 1.3110219
#>  [103,] -8.057584e-01  0.4537191283 1.3070812
#>  [104,]  1.288499e+00 -0.4889380347 1.0684719
#>  [105,] -1.261905e-01  0.4302693986 1.1708701
#>  [106,] -1.288332e+00  0.1797492320 1.2735692
#>  [107,] -4.133720e-01  0.4743769138 1.1522902
#>  [108,] -6.373346e-01  0.3090347290 1.1533628
#>  [109,] -4.977396e-01  0.5581495730 1.1248393
#>  [110,] -1.399833e+00  0.1270189052 1.2238875
#>  [111,] -5.383325e-02  0.0719207912 1.2218012
#>  [112,] -1.017066e+00 -0.0451145032 1.3699129
#>  [113,] -7.867068e-01  0.5883503427 1.2821230
#>  [114,] -1.030865e-01  0.0147549136 1.1509083
#>  [115,]  1.401966e-01 -0.5646678662 1.2420126
#>  [116,] -8.201171e-01  0.4952341572 1.2262515
#>  [117,] -2.043029e-01  1.3232789075 1.2238582
#>  [118,] -6.145428e-01  0.5571058794 1.1311529
#>  [119,] -1.162145e+00  0.2701119311 1.2968038
#>  [120,] -1.876215e-01  0.3702861092 1.2859266
#>  [121,] -3.445969e-01  0.1759959721 1.1993729
#>  [122,]  1.446859e-01  0.6667532189 1.1106109
#>  [123,] -7.964960e-01  0.5967352878 1.2144288
#>  [124,] -3.553100e-01  0.7072850388 1.1970873
#>  [125,]  2.149114e-01 -0.4187048610 1.1960502
#>  [126,] -1.213654e+00  0.5023956436 1.1795907
#>  [127,]  8.737254e-03  0.2904714162 1.2381018
#>  [128,] -2.186012e+00  0.8146745666 1.3830542
#>  [129,] -5.824910e-01  0.9051657323 1.2054088
#>  [130,] -5.067232e-01  0.8074039981 1.1621154
#>  [131,]  8.002590e-02  0.0712397031 1.2272919
#>  [132,] -1.223356e+00  0.2060350270 1.3216487
#>  [133,] -6.406772e-01  0.1304081891 1.3112942
#>  [134,] -2.544227e-01 -0.8293131863 1.2836843
#>  [135,] -2.418927e-01  1.7972258311 1.2472069
#>  [136,] -1.233467e+00  1.0308509212 1.2815254
#>  [137,] -3.270648e-01  0.1139669354 1.2813753
#>  [138,] -1.388960e+00  0.6058785851 1.3056835
#>  [139,]  7.352676e-02 -0.3649840105 1.2837592
#>  [140,] -1.189000e-01  0.6025570836 1.1566252
#>  [141,]  1.930630e-01 -0.1203812597 1.1175341
#>  [142,] -7.608587e-01  1.2300351708 1.0880080
#>  [143,]  2.844729e-02 -0.0753053386 1.2994724
#>  [144,] -1.503617e-01  0.3589278957 1.2148582
#>  [145,] -4.448997e-01 -0.0793543469 1.2426231
#>  [146,] -7.655726e-01  0.5623572091 1.2949319
#>  [147,] -4.307234e-01 -0.2634609924 1.2489831
#>  [148,] -1.385091e+00  0.8416141817 1.3189984
#>  [149,] -3.400567e-01 -0.2742945154 1.2755395
#>  [150,] -2.976060e-01  0.4126900228 1.2335275
#>  [151,]  3.819379e-01 -0.6128216628 1.1949154
#>  [152,] -6.826636e-01  0.3807403856 1.2596714
#>  [153,] -5.396014e-02  0.1381500199 1.2175305
#>  [154,] -1.091696e+00 -0.2600593663 1.2699071
#>  [155,] -1.398349e+00  0.9515864176 1.3114065
#>  [156,] -1.540420e+00 -0.0347060221 1.2983749
#>  [157,] -1.313618e+00  0.4880295522 1.2792064
#>  [158,] -1.794033e-01  0.5020345705 1.2398200
#>  [159,] -1.535241e-01  0.0691389538 1.1506020
#>  [160,] -1.183361e+00 -0.3397022176 1.2346504
#>  [161,] -8.221937e-01  1.0199964365 1.2947470
#>  [162,]  2.994519e-01  0.3816211201 1.0863458
#>  [163,]  7.431032e-02 -0.3724861498 1.2533760
#>  [164,] -1.322731e+00  1.0286490092 1.2099014
#>  [165,] -2.255373e-01  0.4998099950 1.2696218
#>  [166,] -2.954137e-01  1.4337929543 1.1689295
#>  [167,] -2.786710e-01  0.9935500237 1.2050182
#>  [168,] -2.500396e-01  1.5051282118 1.1828760
#>  [169,]  1.122768e-01 -0.6358412702 1.2175439
#>  [170,]  3.756067e-01  0.2587814701 1.1577433
#>  [171,]  5.591852e-01 -0.7067692362 1.1657994
#>  [172,] -9.387914e-01 -0.2320429077 1.2708551
#>  [173,] -1.139156e+00  0.0239263635 1.3113282
#>  [174,] -1.252490e+00  0.4682984455 1.2921948
#>  [175,] -8.908964e-02  1.1106623912 1.1872085
#>  [176,]  1.266669e-01  0.6369087620 1.1358339
#>  [177,]  7.128491e-01 -0.1694687194 1.1927765
#>  [178,] -1.252499e+00 -0.0327250049 1.3052958
#>  [179,] -6.035759e-01  0.2512166409 1.2828363
#>  [180,] -3.549354e-01 -0.2004645813 1.2108484
#>  [181,]  1.344891e-01  0.1368910031 1.2560361
#>  [182,] -6.655723e-01  0.0432120361 1.2977654
#>  [183,]  2.236059e-01  0.6360360178 1.2071823
#>  [184,] -7.161366e-01  1.0578659736 1.1765706
#>  [185,] -1.072346e+00  0.6061753310 1.2037258
#>  [186,]  5.936583e-01 -0.3990725321 1.2177435
#>  [187,] -1.598344e+00  0.4450706434 1.3430097
#>  [188,]  2.469003e-01 -0.0678986208 1.1769644
#>  [189,]  3.261272e-01 -0.2570392302 1.2571918
#>  [190,] -4.169821e-02  0.0143535292 1.1944288
#>  [191,]  9.344582e-02  0.2057666326 1.1860108
#>  [192,] -5.105265e-01 -0.0933817914 1.1347144
#>  [193,]  5.912327e-02  0.1324003200 1.2566319
#>  [194,] -9.396772e-01 -0.1673620105 1.3251859
#>  [195,] -5.328711e-01  0.4356441422 1.2532391
#>  [196,] -2.562761e-01  0.4832093907 1.1051436
#>  [197,]  4.811916e-01  0.5187093788 1.1436841
#>  [198,]  1.218989e-01 -0.2500365136 1.1189993
#>  [199,] -9.181634e-01  0.2828261263 1.2336843
#>  [200,] -1.267189e+00  0.6300102166 1.2613297
#>  [201,] -1.669711e-01 -0.3753462976 1.2359731
#>  [202,] -9.084550e-01  0.1600552734 1.2442927
#>  [203,] -1.428542e+00  0.1378230873 1.3238038
#>  [204,] -7.517845e-01  0.4606590798 1.2651239
#>  [205,] -3.220524e-01  0.2566076053 1.1837233
#>  [206,] -4.290648e-01 -0.2701264949 1.2540576
#>  [207,] -7.249521e-01  1.4821006249 1.2319116
#>  [208,] -3.480575e-01  0.8186788993 1.1930293
#>  [209,]  3.011170e-01 -0.3327571188 1.1038036
#>  [210,] -6.864714e-01  0.3560781618 1.2544754
#>  [211,] -1.145130e+00 -0.3421481850 1.3540651
#>  [212,] -1.152282e+00  0.3939785791 1.2841244
#>  [213,] -4.531632e-01  0.6099421101 1.1978192
#>  [214,]  2.844751e-01 -0.4861979266 1.2081207
#>  [215,]  4.238959e-01 -0.1133952137 1.1919343
#>  [216,] -1.292839e-01 -0.3945995447 1.1758027
#>  [217,]  4.314987e-01  0.6741811885 1.2248991
#>  [218,] -4.637097e-01  1.1513946001 1.1519160
#>  [219,] -3.891786e-01  1.0203113077 1.1488674
#>  [220,] -1.315090e+00 -0.1545675323 1.2225576
#>  [221,]  3.240535e-01  1.2306017605 1.1897081
#>  [222,] -5.264507e-01 -0.1331230166 1.2285739
#>  [223,] -6.526946e-01 -0.1497203948 1.2345897
#>  [224,] -3.371679e-02  1.0147626637 1.1684312
#>  [225,] -3.525849e-01 -0.0537162490 1.2354887
#>  [226,] -3.795157e-01  1.0435296590 1.1567126
#>  [227,] -1.436304e+00 -0.3036173873 1.2302681
#>  [228,] -1.719118e+00  0.9018127192 1.3556082
#>  [229,] -1.006792e+00  0.8603268875 1.1674060
#>  [230,] -7.561743e-01  0.5714627906 1.2725003
#>  [231,]  2.512593e-01  0.9631331862 1.2441456
#>  [232,]  9.145457e-01 -0.9075320940 1.1872823
#>  [233,] -2.807822e-01  0.1908315900 1.2438131
#>  [234,] -2.308065e-01  0.1022385921 1.1259129
#>  [235,] -2.958868e-01  0.0325228187 1.2449988
#>  [236,] -4.176565e-01 -0.5397952120 1.2832758
#>  [237,] -4.724686e-01  0.0795114206 1.2649907
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#> [1866,]  2.822611e-01  0.5016653043 1.1996998
#> [1867,] -5.538854e-01  0.0283575496 1.1953487
#> [1868,]  7.068875e-01 -0.4404561532 1.2162569
#> [1869,]  2.988050e-01 -0.0107519780 1.1818355
#> [1870,] -9.989794e-02 -0.3798358623 1.1766599
#> [1871,] -9.283945e-01  0.6223697241 1.2894592
#> [1872,]  8.577329e-01 -0.9062370532 1.1788805
#> [1873,] -1.167749e+00  0.6968304362 1.2364375
#> [1874,] -8.598035e-01  0.9705357538 1.2633099
#> [1875,]  2.292693e-01 -0.8180296622 1.2360518
#> [1876,] -6.119403e-01 -0.0643055825 1.2941474
#> [1877,] -4.619128e-01  0.4796592567 1.2718934
#> [1878,] -6.700877e-01 -0.8899310128 1.1862244
#> [1879,] -1.280404e+00  0.0482377129 1.3192305
#> [1880,] -8.295950e-01  0.4250543291 1.3515677
#> [1881,]  6.952218e-01 -0.1108503777 1.1427234
#> [1882,] -1.117154e+00  0.8989105574 1.2518909
#> [1883,] -7.720541e-01  0.3858776478 1.2837955
#> [1884,]  1.264805e-01  0.1368076388 1.2495833
#> [1885,] -1.386035e+00 -0.2016970779 1.3007428
#> [1886,] -1.378756e+00  1.0353808168 1.2134486
#> [1887,] -2.028946e-01  0.4427338895 1.1964147
#> [1888,]  1.112436e-02  0.5529562731 1.1334114
#> [1889,] -4.995261e-01  1.2125084340 1.0693887
#> [1890,] -5.372267e-01  0.1007650683 1.2810860
#> [1891,] -3.202676e-01  0.1987773711 1.2519437
#> [1892,] -2.881979e-01 -0.6838441948 1.2367895
#> [1893,] -1.360544e-01  0.3527826304 1.3027141
#> [1894,]  5.921453e-01 -0.4676783317 1.1275759
#> [1895,]  3.956322e-01 -0.2611341757 1.1378340
#> [1896,] -2.996321e-01 -0.6661694604 1.2131054
#> [1897,] -6.186961e-02  1.0733623246 1.1736288
#> [1898,] -1.211733e+00  0.9328446649 1.1049382
#> [1899,]  8.260588e-02 -0.3569983098 1.1993738
#> [1900,] -2.384544e+00  0.5246884037 1.3330115
#> [1901,] -7.863835e-01  0.1007981096 1.2792291
#> [1902,] -7.783690e-01 -0.2453379443 1.2421788
#> [1903,] -3.408026e-02  0.8311021965 1.2223761
#> [1904,] -1.250381e-01  0.4837864496 1.2197898
#> [1905,] -1.737369e-01 -0.4998599384 1.2015223
#> [1906,] -5.246560e-01 -0.5644986175 1.2213194
#> [1907,] -8.959403e-01 -0.5744348325 1.3046491
#> [1908,] -9.159055e-01  0.9338434350 1.1850719
#> [1909,] -1.231833e+00 -0.1308995216 1.2022807
#> [1910,] -2.575019e-01 -0.2655443515 1.2630784
#> [1911,]  6.719422e-02 -0.0550025835 1.2321196
#> [1912,] -4.640681e-01 -0.5912717286 1.2170674
#> [1913,] -1.316468e+00  0.5355887868 1.2704240
#> [1914,] -1.447586e+00  0.3403014452 1.2937057
#> [1915,] -3.815862e-01 -0.0287421987 1.2460032
#> [1916,] -5.992733e-01 -0.0367722764 1.2256529
#> [1917,] -2.620705e-01  1.3603020284 1.1923399
#> [1918,] -3.298190e-01  0.8800749991 1.2377487
#> [1919,] -8.841646e-01  0.0240584093 1.2248401
#> [1920,] -1.619831e+00  0.9967383435 1.2208174
#> [1921,] -1.101884e+00 -0.0232386997 1.3267029
#> [1922,] -2.090225e+00  0.5442584959 1.2524751
#> [1923,] -1.346742e+00  0.7155496106 1.1851837
#> [1924,] -2.388419e-01  0.5575719805 1.1892387
#> [1925,] -6.594322e-01  0.4085121604 1.1935763
#> [1926,] -1.882509e+00  0.1703071004 1.3280296
#> [1927,] -8.723925e-02 -0.5240215449 1.2556335
#> [1928,] -3.021890e-01 -0.1863143697 1.1624765
#> [1929,] -2.564249e-01  0.0316163073 1.2855979
#> [1930,] -7.501258e-01  0.9504837505 1.2882495
#> [1931,] -7.573561e-01 -0.2262921027 1.2123585
#> [1932,] -3.771641e-01  0.5159359070 1.2884554
#> [1933,] -4.090743e-01  1.5854634495 1.1063464
#> [1934,]  5.548976e-02 -0.6701172660 1.2254430
#> [1935,] -7.324948e-01  0.4543847188 1.2233641
#> [1936,] -1.651271e-01 -0.2201208245 1.1510864
#> [1937,] -4.035503e-01  0.5000066928 1.3065786
#> [1938,]  1.376916e+00  0.5875993071 1.0021464
#> [1939,] -5.122737e-01  0.2951156745 1.2067234
#> [1940,] -5.854689e-02  0.4299628441 1.2314038
#> [1941,] -1.395711e+00  1.0059292308 1.2925331
#> [1942,] -1.220020e+00  0.4187667924 1.3448753
#> [1943,] -1.027357e+00 -0.4264873093 1.2820060
#> [1944,] -4.488707e-01  0.1144153683 1.2754667
#> [1945,] -3.429210e-01 -0.0995481209 1.2050621
#> [1946,] -3.732920e-01  0.3145113329 1.1394116
#> [1947,] -8.183950e-01  0.4403322674 1.2316333
#> [1948,] -6.674122e-01 -0.0884443706 1.2716550
#> [1949,] -1.007122e+00  0.8430934765 1.2886987
#> [1950,] -1.662721e-01  0.8499808841 1.1882548
#> [1951,]  4.406830e-01  0.0009212625 1.1814897
#> [1952,] -1.527970e+00  1.4008206471 1.2622083
#> [1953,] -2.816048e-01 -0.0120642667 1.2741953
#> [1954,]  8.638160e-02  0.5503626348 1.0509977
#> [1955,] -2.367728e-01  0.8268291834 1.2383992
#> [1956,] -5.553966e-01  0.2398610421 1.2313771
#> [1957,]  3.589917e-01 -0.7187566456 1.1388607
#> [1958,] -3.658424e-01  0.1191823413 1.1981149
#> [1959,] -1.017561e-01  0.4031633754 1.2715535
#> [1960,] -6.101421e-01 -0.4569872192 1.2425440
#> [1961,] -1.466665e-01  1.2806145030 1.0502006
#> [1962,] -2.497967e-01 -0.5201779943 1.3275017
#> [1963,]  6.347565e-01 -0.6721091221 1.1773483
#> [1964,]  4.071129e-02  0.4230732605 1.1378068
#> [1965,] -1.634976e+00  1.1224005299 1.2082381
#> [1966,]  2.767838e-03  0.1467299815 1.3194580
#> [1967,] -1.239103e+00 -0.5779879872 1.2839264
#> [1968,] -7.660084e-01  0.3164029975 1.2922369
#> [1969,] -1.129105e+00  0.2675071871 1.3081815
#> [1970,] -3.208826e-01  0.3170105264 1.2888158
#> [1971,] -7.838910e-01  0.1313151311 1.3197842
#> [1972,] -1.147688e+00  0.1149071524 1.2912798
#> [1973,]  7.499298e-01 -0.6126918374 1.1573743
#> [1974,] -7.556731e-01  0.0540751544 1.2351580
#> [1975,] -1.217952e+00  1.0076542912 1.2837676
#> [1976,] -3.089223e-01  0.3937962572 1.1111097
#> [1977,] -5.299448e-01 -1.0413987618 1.2291400
#> [1978,]  1.005091e-01  1.1524102856 1.2098445
#> [1979,]  4.568263e-01 -0.1680606966 1.1692687
#> [1980,] -1.305386e+00  1.4988405556 1.2269307
#> 
#> attr(,"class")
#> [1] "mcmc.list"
#> 
#> [[4]]
#> NULL