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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
model$Est_sub
#> Mean SD 2.5% 25% 50% 75%
#> theta[1] 13.662103 3.0511602 7.8141356 11.537037 13.583457 15.765561
#> theta[2] 11.098655 1.9293068 7.3118600 9.809752 11.130934 12.449309
#> theta[3] 14.324854 2.5623288 9.4243626 12.569796 14.304892 15.993667
#> theta[4] 11.521601 1.3589619 8.7473312 10.612198 11.526026 12.441721
#> theta[5] 14.752970 0.7555347 13.2887032 14.228943 14.749273 15.236550
#> theta[6] 10.679047 1.2248639 8.3057513 9.861006 10.641092 11.537174
#> theta[7] 14.253067 0.8902193 12.4924626 13.640137 14.245028 14.857861
#> theta[8] 13.494976 1.8962271 9.7648846 12.197237 13.464710 14.792465
#> theta[9] 16.205611 0.9384457 14.3210878 15.578810 16.216029 16.852629
#> theta[10] 14.879387 0.8974505 13.1375072 14.254314 14.879140 15.489398
#> theta[11] 14.265543 0.7123540 12.8693622 13.785407 14.244566 14.730029
#> theta[12] 15.856791 1.9817525 12.0114678 14.451935 15.918647 17.174626
#> theta[13] 9.288780 0.5801281 8.1039555 8.896746 9.305178 9.656653
#> theta[14] 9.952113 0.9411237 8.1291354 9.299668 9.966159 10.600179
#> theta[15] 15.520505 0.6906976 14.1308792 15.067112 15.516009 15.975737
#> theta[16] 12.687989 1.5460264 9.7628597 11.649264 12.713777 13.747123
#> theta[17] 2.227433 0.7065170 0.8624357 1.742737 2.238389 2.703020
#> theta[18] 7.189216 1.0961345 5.0332817 6.473769 7.188806 7.923947
#> theta[19] 2.119593 0.7422856 0.7576105 1.584527 2.142689 2.640651
#> theta[20] 6.088955 1.8868658 2.3418071 4.847883 6.077768 7.386134
#> theta[21] 4.416872 0.7718974 2.9092796 3.908478 4.412184 4.943637
#> theta[22] 14.697807 1.1972704 12.3774811 13.863755 14.681976 15.499857
#> theta[23] 13.994795 0.4742710 13.0589627 13.679754 13.997240 14.311471
#> theta[24] 17.650252 1.1051906 15.4845715 16.902419 17.668751 18.407844
#> theta[25] 14.511997 1.3233595 12.0332861 13.618395 14.491658 15.411872
#> theta[26] 10.347165 1.9838536 6.4782510 8.990580 10.381173 11.699237
#> theta[27] 9.691437 2.7996476 4.2309021 7.788533 9.696745 11.590260
#> theta[28] 15.020326 0.9127769 13.2874613 14.392980 15.035201 15.607244
#> theta[29] 13.103605 1.6610234 9.9372756 11.957370 13.086928 14.202809
#> theta[30] 10.048500 1.7000478 6.6645201 8.875093 10.086884 11.187225
#> theta[31] 14.191576 2.2393687 9.8038611 12.658925 14.217091 15.721706
#> theta[32] 14.560876 0.9121665 12.7054477 13.965096 14.531114 15.204622
#> theta[33] 9.961723 3.1478549 3.6942294 7.799599 9.987969 12.078995
#> theta[34] 13.803875 1.4059817 11.0689750 12.866679 13.827729 14.689456
#> theta[35] 14.565808 2.0343541 10.6080810 13.238563 14.598353 15.957232
#> theta[36] 13.414378 1.9563502 9.5954152 12.093248 13.388520 14.768555
#> theta[37] 13.978491 0.8468344 12.3382698 13.417891 13.949837 14.536984
#> theta[38] 14.229315 0.8944044 12.5028260 13.630349 14.242355 14.832253
#> theta[39] 12.490210 1.4403241 9.5680617 11.528347 12.483344 13.447391
#> theta[40] 9.152564 2.2729449 4.6689173 7.651463 9.227860 10.677831
#> theta[41] 18.435502 0.8355989 16.8401741 17.855536 18.431475 19.009371
#> theta[42] 12.464018 0.9961311 10.4559718 11.822174 12.462003 13.122068
#> theta[43] 16.441721 3.3158393 9.9243893 14.164281 16.461915 18.665741
#> theta[44] 17.018591 1.4776615 14.1883237 16.063058 17.025463 18.004575
#> theta[45] 18.602811 1.4235742 15.8065885 17.632588 18.602981 19.598734
#> theta[46] 13.689937 1.9493361 9.9506304 12.347440 13.703099 14.946142
#> theta[47] 12.502803 2.6696482 7.0463745 10.723513 12.549263 14.357753
#> theta[48] 11.386233 0.6492179 10.0523265 10.959292 11.388341 11.826769
#> theta[49] 6.654917 1.3788443 4.0402040 5.740089 6.635940 7.582964
#> theta[50] 15.988329 1.5799569 12.9705591 14.903878 15.976861 17.060024
#> theta[51] 7.782551 1.4688041 4.8601461 6.815328 7.789356 8.774889
#> theta[52] 26.590848 0.8294572 24.9521538 26.040891 26.612353 27.151713
#> theta[53] 18.475995 1.6430369 15.1109526 17.402304 18.456559 19.555249
#> theta[54] 17.963895 1.2857157 15.4273514 17.107681 17.998384 18.845667
#> theta[55] 11.953931 0.7307049 10.5103812 11.432835 11.973456 12.448860
#> theta[56] 11.486238 0.5241768 10.4575194 11.140628 11.470716 11.841582
#> theta[57] 8.972071 0.6693917 7.6323130 8.537195 8.970589 9.417264
#> theta[58] 13.766979 1.4133578 10.9919483 12.788673 13.752767 14.742919
#> theta[59] 16.509246 0.9389470 14.6733316 15.869196 16.526594 17.154407
#> theta[60] 15.179717 0.8151674 13.6174211 14.619979 15.172747 15.718942
#> theta[61] 5.536062 1.9818123 1.5900516 4.195703 5.568106 6.868003
#> theta[62] 5.928312 0.8089805 4.3811605 5.375556 5.908635 6.474205
#> theta[63] 5.309168 0.9001428 3.4667038 4.709317 5.323419 5.926037
#> theta[64] 12.255617 1.5387474 9.2152686 11.232532 12.295257 13.261584
#> theta[65] 12.409805 2.4004708 7.6903099 10.834279 12.417504 13.970007
#> theta[66] 9.853197 1.2500577 7.4286085 8.979378 9.881172 10.705709
#> theta[67] 16.769579 1.0284379 14.7033349 16.070402 16.790569 17.460874
#> theta[68] 11.149215 1.2938250 8.5304474 10.289831 11.205670 12.031569
#> theta[69] 8.154452 0.8380474 6.5386726 7.603259 8.176900 8.696918
#> theta[70] 11.757774 0.8365468 10.1454924 11.194926 11.771827 12.298862
#> theta[71] 13.732046 0.7358505 12.2796942 13.244625 13.720695 14.253820
#> theta[72] 10.732191 0.7263412 9.2557783 10.264000 10.745163 11.215429
#> theta[73] 3.823977 1.4579433 0.9575060 2.847837 3.826425 4.862599
#> theta[74] 10.455306 1.4814276 7.5217395 9.458292 10.439080 11.451259
#> theta[75] 5.970925 1.3205752 3.4271692 5.092900 5.978574 6.834154
#> theta[76] 9.419794 0.7688111 7.8931577 8.912496 9.445647 9.920406
#> theta[77] 13.905914 0.7641455 12.3853532 13.399562 13.897389 14.417007
#> theta[78] 9.613556 1.9707339 5.9210506 8.280166 9.586543 10.965682
#> theta[79] 10.457109 1.1416236 8.1809035 9.700172 10.438726 11.217037
#> theta[80] 5.874050 0.7176436 4.4469330 5.401156 5.871433 6.368439
#> theta[81] 6.477105 0.7333668 5.0465766 5.977993 6.487075 6.967598
#> theta[82] 14.466871 2.2236121 10.3266845 12.891341 14.474883 16.006140
#> theta[83] 10.684866 1.9017269 7.0019702 9.377552 10.649858 11.950356
#> theta[84] 10.039598 2.9927034 4.0638123 8.015545 10.086296 12.194172
#> theta[85] 13.372167 1.6357802 10.1628560 12.295919 13.435282 14.477284
#> theta[86] 18.555433 1.4784474 15.6171343 17.533318 18.552567 19.544560
#> theta[87] 11.477246 0.7960914 9.9072550 10.964590 11.480216 12.024551
#> theta[88] 7.955608 1.8764454 4.4424420 6.620818 7.979190 9.215000
#> theta[89] 7.734536 1.4424760 4.8423622 6.738530 7.781479 8.762185
#> theta[90] 4.484763 2.3053661 -0.1181071 2.936510 4.512281 6.054537
#> 97.5%
#> theta[1] 19.521219
#> theta[2] 14.707745
#> theta[3] 19.554918
#> theta[4] 14.145474
#> theta[5] 16.255835
#> theta[6] 13.079118
#> theta[7] 15.984862
#> theta[8] 17.228911
#> theta[9] 18.057328
#> theta[10] 16.651641
#> theta[11] 15.725857
#> theta[12] 19.619173
#> theta[13] 10.421722
#> theta[14] 11.773643
#> theta[15] 16.859990
#> theta[16] 15.726058
#> theta[17] 3.620319
#> theta[18] 9.300012
#> theta[19] 3.554596
#> theta[20] 9.758523
#> theta[21] 5.920529
#> theta[22] 16.930436
#> theta[23] 14.927927
#> theta[24] 19.740633
#> theta[25] 17.106854
#> theta[26] 14.222924
#> theta[27] 15.038083
#> theta[28] 16.858982
#> theta[29] 16.449667
#> theta[30] 13.336453
#> theta[31] 18.524801
#> theta[32] 16.311393
#> theta[33] 16.140384
#> theta[34] 16.612803
#> theta[35] 18.543059
#> theta[36] 17.248161
#> theta[37] 15.673890
#> theta[38] 15.998245
#> theta[39] 15.344832
#> theta[40] 13.486128
#> theta[41] 20.091780
#> theta[42] 14.439143
#> theta[43] 22.691612
#> theta[44] 19.947900
#> theta[45] 21.337180
#> theta[46] 17.688571
#> theta[47] 17.489120
#> theta[48] 12.648493
#> theta[49] 9.420459
#> theta[50] 19.049228
#> theta[51] 10.543813
#> theta[52] 28.196955
#> theta[53] 21.759537
#> theta[54] 20.490785
#> theta[55] 13.373602
#> theta[56] 12.528849
#> theta[57] 10.312593
#> theta[58] 16.496592
#> theta[59] 18.333115
#> theta[60] 16.728866
#> theta[61] 9.374730
#> theta[62] 7.528625
#> theta[63] 7.022505
#> theta[64] 15.232741
#> theta[65] 17.067968
#> theta[66] 12.280427
#> theta[67] 18.708567
#> theta[68] 13.619196
#> theta[69] 9.698018
#> theta[70] 13.412576
#> theta[71] 15.155982
#> theta[72] 12.086567
#> theta[73] 6.532719
#> theta[74] 13.391029
#> theta[75] 8.697674
#> theta[76] 10.923976
#> theta[77] 15.432979
#> theta[78] 13.546544
#> theta[79] 12.764830
#> theta[80] 7.259542
#> theta[81] 7.880622
#> theta[82] 18.918295
#> theta[83] 14.442993
#> theta[84] 15.568023
#> theta[85] 16.520125
#> theta[86] 21.478119
#> theta[87] 13.006816
#> theta[88] 11.736924
#> theta[89] 10.425987
#> theta[90] 9.041893
model$Est_area
#> Mean SD 2.5% 25% 50% 75% 97.5%
#> 1 13.188843 1.9096850 9.613879 11.923085 13.140542 14.434234 16.867539
#> 2 12.433563 0.6501882 11.145895 11.986970 12.449846 12.885931 13.645090
#> 3 14.471574 0.7841468 12.962265 13.920857 14.481714 14.966064 16.026141
#> 4 14.886409 0.6780182 13.581770 14.427936 14.891612 15.340094 16.247854
#> 5 11.301397 0.4353580 10.463307 11.021324 11.301766 11.600118 12.153738
#> 6 7.837967 0.7445398 6.359499 7.344421 7.842806 8.334892 9.255600
#> 7 4.508869 0.8622944 2.790432 3.938117 4.498908 5.121511 6.184007
#> 8 15.881685 0.6214258 14.651941 15.445689 15.890540 16.309906 17.102896
#> 9 11.428816 1.3918145 8.628230 10.488818 11.461160 12.346092 14.144456
#> 10 12.258834 0.9827478 10.361664 11.579761 12.277633 12.921000 14.125076
#> 11 12.627550 1.6789802 9.380882 11.515248 12.619817 13.707661 15.868970
#> 12 13.941309 1.1513742 11.736601 13.154301 13.919520 14.686645 16.279582
#> 13 13.450811 0.7082892 12.082829 12.981514 13.447950 13.910355 14.861803
#> 14 13.236180 0.9286616 11.433199 12.619896 13.239834 13.867420 15.040170
#> 15 17.299414 1.5966485 14.205133 16.209865 17.281907 18.392096 20.394750
#> 16 12.658279 1.3484371 9.866913 11.761741 12.717928 13.585371 15.245529
#> 17 10.489634 0.9244304 8.692869 9.837875 10.504945 11.134691 12.245763
#> 18 20.801420 0.7798032 19.274920 20.259427 20.829099 21.339156 22.298788
#> 19 10.395916 0.4050471 9.588375 10.116294 10.394973 10.681164 11.171321
#> 20 15.253737 0.6002013 14.076965 14.857420 15.253290 15.659876 16.418110
#> 21 5.559816 0.8249637 3.921948 5.013148 5.558544 6.126472 7.147938
#> 22 11.526635 1.0838817 9.390452 10.821023 11.521156 12.276513 13.629570
#> 23 12.075750 0.6341340 10.801513 11.672311 12.065934 12.501533 13.285297
#> 24 12.122365 0.4736494 11.210376 11.807684 12.128770 12.437376 13.044558
#> 25 6.494201 0.8561429 4.770374 5.907202 6.496759 7.094205 8.115323
#> 26 11.352897 0.7109830 9.949715 10.870575 11.358065 11.822873 12.714493
#> 27 7.458148 0.5208098 6.450056 7.115162 7.459666 7.801012 8.475679
#> 28 12.125040 1.5545005 9.212418 11.045640 12.114138 13.183982 15.162233
#> 29 14.723700 0.8204566 13.050375 14.194698 14.743745 15.261685 16.314156
#> 30 6.500137 1.2651602 3.996166 5.634750 6.504203 7.396812 8.885495
model$coefficient
#> Mean SD 2.5% 25% 50% 75%
#> beta[0] -0.2931278 0.64251943 -1.525498 -0.7381198 -0.2909606 0.1403428
#> beta[1] 0.2234420 0.63620379 -1.053201 -0.1967924 0.2369520 0.6322705
#> beta[2] 1.2180349 0.06474483 1.090755 1.1748077 1.2196846 1.2604174
#> 97.5%
#> beta[0] 0.9482076
#> beta[1] 1.4990878
#> beta[2] 1.3419257
dirCV=sqrt(dataTwofold$vardir)/(dataTwofold$y)*100
summary(cbind(dirCV,CV))
#> dirCV CV
#> Min. : 3.187 Min. : 3.119
#> 1st Qu.: 6.642 1st Qu.: 6.406
#> Median : 12.764 Median :11.568
#> Mean : 25.141 Mean :13.706
#> 3rd Qu.: 21.041 3rd Qu.:17.718
#> Max. :680.378 Max. :51.404
model$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
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#> [1804,] 6.883158e-01 0.4968530287 1.172307
#> [1805,] 1.118577e+00 0.3414609411 1.113084
#> [1806,] 5.328166e-01 0.3239110614 1.230613
#> [1807,] -6.846525e-01 0.2448441248 1.231942
#> [1808,] -7.718898e-01 -0.3218569649 1.273380
#> [1809,] -3.296421e-01 0.4270909119 1.206777
#> [1810,] 5.430608e-01 0.1281569304 1.194474
#> [1811,] 1.448776e-01 0.3624595685 1.183915
#> [1812,] 5.549727e-01 -0.9261580148 1.220386
#> [1813,] 5.938697e-02 -0.6121327694 1.140588
#> [1814,] 6.567257e-02 -0.2822723932 1.233583
#> [1815,] -8.177540e-02 0.4276762326 1.184780
#> [1816,] -3.904430e-01 0.6244359322 1.251252
#> [1817,] 4.212499e-01 0.0205678722 1.208906
#> [1818,] 2.634569e-01 0.7263355015 1.207786
#> [1819,] -8.563416e-02 1.4169906134 1.105028
#> [1820,] 9.458218e-01 0.3170986656 1.061252
#> [1821,] -1.902908e-01 -0.7763509851 1.225190
#> [1822,] -1.125605e+00 0.6561640041 1.247006
#> [1823,] 4.062911e-01 0.3450704345 1.202493
#> [1824,] -9.888975e-01 1.0747725843 1.149916
#> [1825,] -8.791736e-01 0.6343046625 1.295321
#> [1826,] -9.271459e-01 0.6511802643 1.211092
#> [1827,] -2.215771e+00 0.4446537193 1.292708
#> [1828,] -2.186696e-01 0.5115320327 1.180659
#> [1829,] -3.208791e-01 0.4350068935 1.225438
#> [1830,] -8.215478e-01 0.5038611608 1.312685
#> [1831,] 5.583839e-01 0.4990391286 1.121156
#> [1832,] -5.100691e-01 0.4050615486 1.175082
#> [1833,] -9.571231e-01 -0.7387991385 1.257393
#> [1834,] -3.470672e-01 -0.5941090446 1.230832
#> [1835,] -9.339975e-02 -0.2591666180 1.204991
#> [1836,] -2.041156e-01 0.5503674505 1.131236
#> [1837,] -3.485301e-01 -0.3285989456 1.148942
#> [1838,] -5.286320e-01 -0.2964248956 1.338116
#> [1839,] 1.300691e-01 -0.0975682791 1.246357
#> [1840,] -7.589089e-02 -0.2766179850 1.254749
#> [1841,] -3.869774e-02 0.6888018578 1.184622
#> [1842,] 1.108989e+00 -1.1788428208 1.176775
#> [1843,] -7.498482e-01 -0.3249992424 1.248559
#> [1844,] -5.041908e-01 -0.4228722286 1.264440
#> [1845,] -4.381675e-01 0.9413439597 1.248790
#> [1846,] -4.807910e-01 1.8157270548 1.192901
#> [1847,] -2.133750e+00 -0.4258163099 1.240271
#> [1848,] 9.703385e-03 0.9317786728 1.215292
#> [1849,] 4.527143e-01 0.0243143956 1.129777
#> [1850,] -5.923052e-01 1.3396495474 1.204694
#> [1851,] -1.141059e-01 0.5968500619 1.153436
#> [1852,] -4.150701e-01 0.0932307773 1.169608
#> [1853,] -7.534369e-01 0.3111304463 1.271501
#> [1854,] -1.314081e+00 0.5258587469 1.249355
#> [1855,] -5.426938e-01 0.7522266973 1.249444
#> [1856,] -2.015850e-01 0.2111659052 1.247329
#> [1857,] -5.157495e-01 -0.8540257631 1.328769
#> [1858,] 4.349918e-01 -0.2279853261 1.156786
#> [1859,] -6.187863e-01 0.0393263303 1.262867
#> [1860,] -5.978130e-01 1.2660308136 1.176844
#> [1861,] 1.173229e-01 -0.3741858723 1.271696
#> [1862,] 8.574031e-01 -0.4015612438 1.298207
#> [1863,] -6.243677e-01 0.0697389857 1.220970
#> [1864,] -1.473877e+00 -0.1378698131 1.209073
#> [1865,] -6.172772e-01 0.4223256992 1.239952
#> [1866,] -4.453291e-01 0.4777711996 1.184049
#> [1867,] -3.400923e-02 0.1742948490 1.190813
#> [1868,] 9.132257e-01 -0.1757778374 1.086910
#> [1869,] -5.806971e-01 -1.2399814935 1.268707
#> [1870,] -1.483232e+00 1.0342746317 1.394193
#> [1871,] -5.970780e-01 0.3925261155 1.246632
#> [1872,] 4.516387e-01 -0.1572115001 1.148799
#> [1873,] -3.989432e-02 0.8725248199 1.149032
#> [1874,] -4.112552e-01 0.1688912976 1.179309
#> [1875,] -3.722718e-01 0.9946685617 1.286932
#> [1876,] -7.298639e-01 0.1545298315 1.239500
#> [1877,] 4.337611e-01 1.0015510967 1.219551
#> [1878,] -6.349694e-01 -0.1799118515 1.243712
#> [1879,] -2.413087e-01 -0.2503718374 1.218238
#> [1880,] 3.969473e-01 0.8899144449 1.087414
#> [1881,] -1.509017e+00 0.6841095318 1.262384
#> [1882,] -1.161985e+00 0.4161648187 1.282214
#> [1883,] -9.888859e-01 -0.9404249823 1.341359
#> [1884,] 5.678953e-02 -0.1459591641 1.266557
#> [1885,] 1.114490e-01 0.3896764261 1.187583
#> [1886,] 7.656242e-01 0.4284916684 1.096106
#> [1887,] -1.020296e+00 0.3909893454 1.301891
#> [1888,] -1.045978e-01 0.1840126353 1.218286
#> [1889,] -6.232915e-02 -1.1877211348 1.260934
#> [1890,] -7.958386e-01 -0.2128936395 1.165217
#> [1891,] -1.244631e+00 0.2235029751 1.228323
#> [1892,] -1.361654e+00 1.5247188579 1.293698
#> [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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.