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

CV=(model$Est_sub$SD)/(model$Est_sub$Mean)*100
MSE=model$Est_sub$SD^2
summary(cbind(CV,MSE))
#>        CV              MSE         
#>  Min.   : 3.159   Min.   : 0.2308  
#>  1st Qu.: 6.485   1st Qu.: 0.6972  
#>  Median :11.558   Median : 1.7692  
#>  Mean   :13.750   Mean   : 2.3980  
#>  3rd Qu.:17.624   3rd Qu.: 3.4027  
#>  Max.   :51.098   Max.   :10.8258

CV2=(model$Est_area$SD)/(model$Est_area$Mean)*100
MSE2=model$Est_area$SD^2
summary(cbind(CV2,MSE2))
#>       CV2              MSE2       
#>  Min.   : 3.753   Min.   :0.1537  
#>  1st Qu.: 5.260   1st Qu.:0.4448  
#>  Median : 7.405   Median :0.6807  
#>  Mean   : 8.648   Mean   :1.0261  
#>  3rd Qu.:11.733   3rd Qu.:1.2889  
#>  Max.   :19.645   Max.   :3.9793

dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#>      dirCV               CV        
#>  Min.   :  3.187   Min.   : 3.159  
#>  1st Qu.:  6.642   1st Qu.: 6.485  
#>  Median : 12.764   Median :11.558  
#>  Mean   : 25.141   Mean   :13.750  
#>  3rd Qu.: 21.041   3rd Qu.:17.624  
#>  Max.   :680.378   Max.   :51.098

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

model$refVar
#>   var_area  var_sub
#> 1 8.196509 8.749809

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,]  0.1558351621  1.022709018 1.1627795
#>    [2,]  0.0436677898  0.704355286 1.1827617
#>    [3,] -0.2604370700 -0.457955265 1.2797772
#>    [4,] -0.3243633380 -0.550295485 1.1902768
#>    [5,] -0.4218323582  0.328992642 1.2007462
#>    [6,] -0.2379853565  0.031688451 1.2333364
#>    [7,]  0.1015615934  0.422568842 1.2325608
#>    [8,]  0.7700810798 -0.102004847 1.0786786
#>    [9,] -0.0731453322  0.111730970 1.1959962
#>   [10,] -0.6149920841 -0.093399795 1.3491447
#>   [11,] -0.3312022715  0.808283706 1.1832055
#>   [12,] -0.6142717010  1.221787187 1.2551724
#>   [13,] -0.3408359319 -0.802410322 1.2001040
#>   [14,] -0.3154049492 -0.228728744 1.3096973
#>   [15,] -0.9137568242 -0.308868873 1.2634340
#>   [16,]  0.2224293228 -0.272178330 1.1505687
#>   [17,]  0.8585461940 -0.720581643 1.1568536
#>   [18,] -0.9295907779  0.532616179 1.1634887
#>   [19,] -0.7218882595  1.132199437 1.2499080
#>   [20,] -0.3309726374 -0.874833814 1.3173392
#>   [21,]  0.0890124740  0.638703261 1.2915332
#>   [22,]  0.4603868334  0.435799741 1.1220850
#>   [23,] -0.5359499261 -0.453610287 1.2718069
#>   [24,] -0.0985040596  1.440562011 1.1398560
#>   [25,]  0.4040686426  0.425581842 1.0820378
#>   [26,] -0.2581545989  0.734931865 1.1271706
#>   [27,]  0.6960980300  0.566691070 1.1475422
#>   [28,]  0.1622577603  0.196296102 1.2492979
#>   [29,]  0.0860036031  0.373844799 1.2719555
#>   [30,] -0.4829137413  0.946485303 1.1483744
#>   [31,] -0.2239328008 -0.898797797 1.2844998
#>   [32,] -1.1291366149  0.815825394 1.2837194
#>   [33,] -0.1978185405  0.256384701 1.2419610
#>   [34,] -0.5379379978 -0.073190807 1.2931606
#>   [35,]  0.0607862162 -0.523406250 1.2420952
#>   [36,] -0.3260040601  0.679218542 1.1642560
#>   [37,] -0.4000332475  1.063917596 1.2446446
#>   [38,] -0.6241145894  1.187616521 1.2454371
#>   [39,]  0.5743335935  0.468793693 1.1671366
#>   [40,] -0.2936867462  0.665999508 1.1696712
#>   [41,] -1.7858782272  1.464905139 1.2253127
#>   [42,] -0.0918289337 -0.030427980 1.2185639
#>   [43,] -0.9632627053  0.546298165 1.2173078
#>   [44,]  0.4310651415  0.075923601 1.2302747
#>   [45,] -0.5421528133  0.149670779 1.2685429
#>   [46,] -0.0369241179 -0.624959230 1.2010909
#>   [47,]  0.4806465965  0.282044987 1.2409703
#>   [48,] -0.1671321742 -0.406187101 1.2286836
#>   [49,]  0.4350601027 -0.021093422 1.1997533
#>   [50,]  0.0304468786  1.672471093 1.1195996
#>   [51,] -0.3288288900  0.896329045 1.2091133
#>   [52,] -1.1490144774 -0.544227607 1.2738824
#>   [53,]  0.4004949155  1.424987373 1.1522354
#>   [54,]  0.2344911864  0.421027001 1.0844557
#>   [55,]  0.7353191131 -0.187554434 1.2196779
#>   [56,]  0.4285377251 -0.396058366 1.1695706
#>   [57,]  0.1691954694  0.710591956 1.1460055
#>   [58,]  0.4400573126  0.464172795 1.1366127
#>   [59,]  0.9723089539 -0.963725885 1.1037456
#>   [60,]  0.4789835671  0.025198031 1.1008336
#>   [61,] -0.6553103074 -0.089091678 1.1653701
#>   [62,]  0.2845982116 -0.242273828 1.2766811
#>   [63,] -0.3935582186  0.229873953 1.2711783
#>   [64,]  0.0016362608  0.706875793 1.0954521
#>   [65,]  0.0309681975 -0.658245673 1.2733304
#>   [66,] -0.1050453433  0.182805418 1.2149125
#>   [67,] -0.7040214694  0.113653354 1.2085867
#>   [68,]  0.5822973635  0.789486896 1.1450171
#>   [69,]  0.4557318748  0.659937533 1.0617814
#>   [70,]  0.2648234707 -0.392558294 1.1666427
#>   [71,] -0.3746667727 -0.509040022 1.2183272
#>   [72,] -1.0231629847 -0.898969622 1.2198896
#>   [73,] -0.3504308852  0.613823904 1.2394912
#>   [74,]  0.2294871538  0.620392255 1.2342742
#>   [75,] -1.0091339679  0.152279698 1.2340466
#>   [76,]  0.1170822340 -0.524273855 1.2455643
#>   [77,]  0.6058878958  0.110141818 1.1968091
#>   [78,]  0.9195204122  0.039973503 1.0712183
#>   [79,] -1.1953561066 -0.635320801 1.3595792
#>   [80,] -0.5581620111  0.572470936 1.1918552
#>   [81,]  1.3703004568  0.934964679 1.0569677
#>   [82,] -0.3820198419 -0.537981006 1.3281770
#>   [83,]  0.0582946755 -0.338048213 1.2300123
#>   [84,] -0.2267186661 -0.728136099 1.3502998
#>   [85,] -0.5843415453  1.625793214 1.1136571
#>   [86,] -0.2244618483  0.537397959 1.2290823
#>   [87,]  0.7351902589 -0.108523933 1.2281669
#>   [88,] -0.7114480941  0.258198453 1.1743356
#>   [89,] -0.5516100651 -0.085044862 1.2698788
#>   [90,] -0.7209225978  0.347944533 1.2545033
#>   [91,] -1.4497553899  0.375724069 1.2724858
#>   [92,] -0.7918939773 -0.033333406 1.2058737
#>   [93,] -0.1424505639 -0.093293339 1.3014486
#>   [94,]  0.5645578068  0.123197640 1.0822664
#>   [95,] -0.3438844490  0.283867494 1.1903614
#>   [96,] -0.6601643916 -0.361147059 1.3194992
#>   [97,] -1.0380779918  1.452534811 1.2803155
#>   [98,] -0.3276630074 -0.205992781 1.2882267
#>   [99,]  0.5153363375 -0.156062791 1.2153623
#>  [100,]  0.5590013452 -0.440279046 1.1153850
#>  [101,] -0.1425445070 -0.865338374 1.3260149
#>  [102,] -0.9011457204  0.369422164 1.2376395
#>  [103,] -1.0798328488 -0.110988212 1.2353895
#>  [104,] -0.6128478243  0.840655131 1.2573196
#>  [105,]  0.0053464044  0.916108934 1.1023269
#>  [106,] -0.2173748464  0.024872513 1.1528379
#>  [107,] -0.6424146431 -0.291636712 1.3428040
#>  [108,] -0.5906204079  0.727942269 1.2268380
#>  [109,] -1.5625416252  0.482515372 1.3401729
#>  [110,] -0.3307982554  1.481145262 1.1934116
#>  [111,] -1.3871101660  1.070155481 1.3353500
#>  [112,] -0.8470302302  0.558844832 1.2668414
#>  [113,] -0.9457055125 -0.020550139 1.2684135
#>  [114,]  0.0083844251 -0.306219300 1.2091868
#>  [115,] -0.9830182305 -0.634986457 1.3224456
#>  [116,]  0.0190645829 -1.074084199 1.3054884
#>  [117,] -0.4693465548 -0.172867661 1.2392389
#>  [118,]  0.2095415622  0.674253554 1.1493936
#>  [119,] -0.6887441941 -1.069110652 1.3352258
#>  [120,]  0.5088889357 -0.186297931 1.1738552
#>  [121,]  0.3946397588  1.143416893 1.1677683
#>  [122,] -0.3973896698 -0.209277944 1.2437685
#>  [123,] -1.4723086712  0.552875716 1.3783691
#>  [124,] -0.3942346606  0.750919884 1.1625504
#>  [125,] -1.2385185974  1.091359480 1.2423629
#>  [126,] -0.6199525089  0.239072253 1.1903094
#>  [127,] -0.6246684208 -0.501503062 1.2283521
#>  [128,] -0.9219250087  1.401999030 1.2144868
#>  [129,] -0.8585987393  0.728892991 1.3039977
#>  [130,]  0.1551807557  0.066486794 1.1811452
#>  [131,]  0.4907505866 -0.266801931 1.1612050
#>  [132,] -0.6398008476 -0.027799088 1.2120784
#>  [133,] -1.2192073334  1.344327998 1.2067490
#>  [134,]  0.0837806419  0.722467977 1.1707075
#>  [135,] -0.4643359445  0.377371036 1.2010947
#>  [136,] -1.1704764517  0.606120276 1.3012100
#>  [137,]  0.0204264100  1.048776945 1.1833180
#>  [138,]  0.5587532474  0.240925012 1.1541409
#>  [139,]  0.2240641583  0.392811301 1.2215393
#>  [140,]  0.6039619918 -0.261776453 1.1794909
#>  [141,] -0.1957953326 -0.371079582 1.2666461
#>  [142,]  0.0979600118  0.991465610 1.2989923
#>  [143,] -0.1444676675  1.591960571 1.2031131
#>  [144,] -0.9202458657  0.138165228 1.2191359
#>  [145,] -0.5399677996  0.868838104 1.3422518
#>  [146,]  0.3634407477  0.245067824 1.1043773
#>  [147,] -0.0448329449 -0.376871554 1.1614842
#>  [148,]  1.0798216497  0.125294692 1.1694134
#>  [149,] -0.1109197907  0.388579328 1.1569636
#>  [150,] -0.0567969136  0.496478883 1.2041671
#>  [151,] -0.5965522448 -0.273464928 1.1886398
#>  [152,]  0.4018375079  1.482499048 1.1146717
#>  [153,] -0.6884139656 -0.108395754 1.1863554
#>  [154,] -0.6320295883 -0.314212570 1.3158781
#>  [155,] -0.7242408679  0.475633857 1.1943692
#>  [156,] -0.1910088751 -0.197354603 1.1773494
#>  [157,]  0.8657744766  0.283475853 1.2050749
#>  [158,] -0.6535444471  0.029692466 1.2627522
#>  [159,]  0.0483205830  0.398564608 1.2564154
#>  [160,]  0.2340194263  0.074929670 1.1658191
#>  [161,] -0.1266508514  0.530736251 1.2314486
#>  [162,] -0.0993338091  0.855358247 1.1184025
#>  [163,] -0.2516958110  0.400951223 1.1999457
#>  [164,] -1.0400069361  0.736861122 1.1981711
#>  [165,] -0.1405734039  1.368019618 1.2195873
#>  [166,] -0.5787096337 -0.053108332 1.3123936
#>  [167,]  0.7362248862 -0.128768284 1.2426365
#>  [168,] -0.8498023352  0.659060066 1.2177964
#>  [169,]  0.7286687834  1.405055199 1.1321406
#>  [170,] -0.3888099422  0.071528104 1.3088038
#>  [171,] -0.5789960282  1.027378525 1.2149767
#>  [172,]  0.1711195795  0.844319405 1.2099159
#>  [173,] -0.5914890563  0.238071228 1.2319295
#>  [174,] -1.0779825307  0.673081042 1.2600973
#>  [175,] -0.2317278270  0.250247737 1.2406868
#>  [176,]  0.2327432807 -0.696465514 1.2579731
#>  [177,] -0.8960436810  0.392192091 1.2408173
#>  [178,] -0.7828271572 -0.806280113 1.3288540
#>  [179,]  0.5629167232 -0.175897117 1.2219829
#>  [180,] -0.5179180265  0.816047291 1.0914123
#>  [181,] -0.4268608851 -0.392699142 1.2231542
#>  [182,] -0.1701767343  2.242472786 1.0863308
#>  [183,] -1.1081089064 -0.473894531 1.2901472
#>  [184,] -0.3194719240  0.537822040 1.2219017
#>  [185,] -0.6600674900 -0.340799093 1.2231813
#>  [186,] -1.2849786482 -0.023411876 1.2942262
#>  [187,] -0.0335850004  0.331324650 1.2234567
#>  [188,] -0.9247462970 -0.461227334 1.3287346
#>  [189,]  0.0321889432  0.417280245 1.2695071
#>  [190,]  0.4252415975  0.111517041 1.1305448
#>  [191,] -0.6725350938  0.112110941 1.3042938
#>  [192,] -1.1505346996  0.130828387 1.3092219
#>  [193,]  0.6909245734  0.188351123 1.2108939
#>  [194,]  1.0919370190  0.372003471 1.0598777
#>  [195,]  0.6398378771 -0.404807858 1.1104538
#>  [196,]  0.5493666341 -0.834879742 1.1874047
#>  [197,] -0.6669587657  1.096415517 1.2364932
#>  [198,]  0.2880792532  0.293971949 1.1685530
#>  [199,] -0.2844340689  0.404399933 1.1894832
#>  [200,]  0.2041227323  0.482101023 1.1737639
#>  [201,] -0.4650375642  0.581170720 1.1969086
#>  [202,] -0.7439864818 -0.206228408 1.2155158
#>  [203,] -0.9081203167 -0.050798119 1.3019802
#>  [204,] -0.1157434953 -0.055235111 1.3792900
#>  [205,] -0.5030352091  0.731603502 1.1518913
#>  [206,] -0.0132292610  0.727654755 1.1300883
#>  [207,] -0.2694075942  0.389692869 1.2861858
#>  [208,] -0.9940196100  0.230106392 1.2780679
#>  [209,] -0.2256509826  1.199923154 1.1254242
#>  [210,]  1.0479278480 -0.601556571 1.1504737
#>  [211,] -0.0322686569 -0.474458952 1.2036180
#>  [212,]  0.0765086693  0.433641558 1.1810189
#>  [213,]  0.7165883496  0.193714364 1.1658550
#>  [214,]  0.1445631566  0.758511866 1.1246765
#>  [215,]  0.0096349399 -0.662897692 1.2776297
#>  [216,] -0.0636471875 -0.135608099 1.2374900
#>  [217,] -0.2948872319  0.932817557 1.2047968
#>  [218,] -0.2085854659  0.780642161 1.0847859
#>  [219,] -0.0176952341  0.096846119 1.1975670
#>  [220,] -1.5894280905  0.848514103 1.2754984
#>  [221,]  0.1914418994  0.231482734 1.2415874
#>  [222,]  0.1327589712  0.406899628 1.1462121
#>  [223,] -0.1269494151  0.304620155 1.2613343
#>  [224,] -0.6659004692  0.416318041 1.2093411
#>  [225,]  0.0480716564  0.460324460 1.1933535
#>  [226,] -0.5121556433  0.163702447 1.1828215
#>  [227,]  0.5027056391  0.112858709 1.1411674
#>  [228,]  0.6865285902 -0.191435097 1.0931184
#>  [229,]  0.4552026985  0.134723993 1.0414602
#>  [230,] -0.5937726194 -0.597619326 1.2840303
#>  [231,] -0.2731342542 -0.437104155 1.2701874
#>  [232,] -0.7112482642 -0.460178664 1.2652740
#>  [233,] -0.4213712850  0.155125770 1.1748360
#>  [234,]  0.4381059580  0.234509769 1.1931162
#>  [235,] -0.2081381291  0.407093438 1.1608530
#>  [236,]  0.8280934528 -0.017247713 1.1948479
#>  [237,]  1.2384154131 -0.258314459 1.1515795
#>  [238,] -0.3767911945  0.481068491 1.1069445
#>  [239,]  0.0066930367 -0.139641544 1.2204190
#>  [240,]  0.0092032270  1.465219334 1.2413884
#>  [241,]  0.2727072683 -0.212933335 1.1869633
#>  [242,] -0.3826529302  0.563672315 1.2026247
#>  [243,]  0.4294866749 -0.079422393 1.1936499
#>  [244,]  0.5743060903 -0.686880664 1.1271954
#>  [245,] -1.2272429691 -0.983662440 1.3180448
#>  [246,] -0.5271855740  0.172826352 1.2873941
#>  [247,]  0.2728067854  0.100093694 1.1221817
#>  [248,] -0.3643710084  0.392786158 1.2210844
#>  [249,] -0.3361393864  0.547759279 1.1407734
#>  [250,] -0.6755645878  0.562511354 1.2347416
#>  [251,] -1.0479499089  0.407716149 1.1479427
#>  [252,]  0.8600878449 -0.030528714 1.2230863
#>  [253,]  0.6708022673 -0.543605257 1.1906855
#>  [254,]  0.4593690281 -0.125792238 1.2058796
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#>  [808,]  0.2703090066  1.515648195 0.9995014
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#>  [826,] -0.0831516636 -0.394120055 1.2527667
#>  [827,]  0.8440860914 -0.193847525 1.2224567
#>  [828,] -0.1652041778  0.233480849 1.1589266
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#> [1898,]  0.0614529761  0.949533400 1.1083394
#> [1899,]  0.7756008633 -0.277861366 1.1312190
#> [1900,] -1.1875591865  0.217056457 1.2643556
#> [1901,] -0.3541744982  0.375262486 1.2524320
#> [1902,]  0.4389050338 -0.029543353 1.1044312
#> [1903,] -0.5527668151  0.168791830 1.2079531
#> [1904,] -0.3538269184  0.518154186 1.2407146
#> [1905,] -0.0879130434 -0.414802456 1.2423740
#> [1906,] -0.6995232463  0.475710537 1.1820551
#> [1907,] -0.2955490300 -0.282813950 1.2083515
#> [1908,] -0.1127821168 -0.516193808 1.2080765
#> [1909,] -0.4388231072  0.204689917 1.2218144
#> [1910,] -1.0148643451  0.531080944 1.2587190
#> [1911,] -0.0165825467 -1.027863080 1.3473391
#> [1912,] -0.8205439049  0.038324051 1.3201317
#> [1913,] -0.6513282673  0.258220123 1.2082567
#> [1914,] -0.1679714675  0.565629763 1.1316400
#> [1915,] -0.4283666230  0.447298382 1.2239742
#> [1916,] -0.8788443976  0.901242181 1.2919886
#> [1917,]  1.1624131927 -0.245699240 1.1066205
#> [1918,]  0.7380221957 -0.511576143 1.1808257
#> [1919,]  0.2966864294  0.200146067 1.1256220
#> [1920,] -0.9961994413  0.618408105 1.2287106
#> [1921,] -0.5451017076  0.793865755 1.1970398
#> [1922,]  0.6899680932  0.592661986 1.0507718
#> [1923,]  0.9068306420  0.363923007 1.1729620
#> [1924,]  0.9320921468 -0.490519416 1.1385207
#> [1925,] -1.4913011448  1.345998415 1.2250161
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#> [1927,] -1.5019322209 -0.247052436 1.2464037
#> [1928,] -0.6890352168  0.453820113 1.2802847
#> [1929,] -0.9752131260  0.175814898 1.2188964
#> [1930,] -1.2744912771 -0.105625792 1.3532056
#> [1931,] -0.7936753364  1.778444664 1.1668999
#> [1932,] -0.6334872790  0.556615313 1.2883606
#> [1933,]  0.2708967283 -0.070406791 1.2175893
#> [1934,] -0.1418693835  0.696190645 1.2393754
#> [1935,]  0.7557020185 -0.106535356 1.0542840
#> [1936,] -1.3796371292 -0.185568011 1.3039139
#> [1937,] -0.8247047916  0.307103923 1.2232307
#> [1938,]  0.2660219569  0.576383832 1.2171448
#> [1939,] -0.8868157811  0.903153912 1.2054866
#> [1940,] -0.7114371896 -0.328063880 1.2213146
#> [1941,] -0.1860087061  0.214646453 1.1723892
#> [1942,]  0.6197062850 -0.442043029 1.1563907
#> [1943,] -0.6295947516  0.055047624 1.2911079
#> [1944,] -1.0368309547  1.067354714 1.2572655
#> [1945,] -0.1287976132 -0.191021714 1.2058877
#> [1946,] -1.0646550127  1.307780987 1.2446006
#> [1947,] -0.7980555206  1.290836164 1.3006421
#> [1948,] -0.4058123922  0.351337104 1.2632734
#> [1949,]  0.2739389353  0.514739054 1.2104460
#> [1950,] -0.3433484480  0.024500993 1.2109507
#> [1951,] -1.0170959351  0.458186875 1.3106002
#> [1952,] -1.1866431851  2.314068025 1.2056339
#> [1953,] -1.2426289643  0.778550856 1.2239517
#> [1954,] -0.7447920052 -0.164411764 1.2765712
#> [1955,] -0.6414627703  0.560008996 1.2057200
#> [1956,] -0.9046140849  0.626963661 1.2029707
#> [1957,] -0.3629558229 -0.711961872 1.2507066
#> [1958,]  0.1052483840 -0.274657905 1.1879631
#> [1959,]  0.5055306602  1.821636524 1.1112450
#> [1960,] -0.7792186041 -0.917965897 1.3335370
#> [1961,]  0.2281701061 -0.264373283 1.2242599
#> [1962,] -0.1252312628  0.652628119 1.1510235
#> [1963,] -0.8751467477 -0.947971037 1.2026683
#> [1964,] -1.0545853987  0.821844025 1.2787494
#> [1965,] -1.3315204218 -0.068419116 1.3894152
#> [1966,] -0.5119967009 -0.538072592 1.2914857
#> [1967,] -0.0335814489 -0.105476259 1.2951194
#> [1968,] -0.5388336303  0.266645317 1.1877851
#> [1969,]  0.4357375981  0.198425067 1.2012741
#> [1970,] -0.4383895616 -1.653342543 1.2189053
#> [1971,]  0.1758581845  0.744021961 1.2517162
#> [1972,] -0.5587594778  0.307803949 1.2101255
#> [1973,]  0.0499628196 -0.814987337 1.2357979
#> [1974,] -0.0700571625 -0.485088916 1.2563415
#> [1975,] -0.8272072913  0.987906549 1.1464852
#> [1976,] -1.6383810410  0.103123380 1.2660788
#> [1977,]  0.0578646639 -0.282510857 1.2469062
#> [1978,] -1.2161976054  0.281954172 1.2251941
#> [1979,] -0.9537303067  0.722956903 1.3500850
#> [1980,] -0.4933947910  0.752114758 1.2676265
#> 
#> attr(,"class")
#> [1] "mcmc.list"
#> 
#> [[4]]
#> NULL