Deep Neural Network with DBN Pretraining Learner
Source:R/learner_deepnet_classif_dbnDNN.R
mlr_learners_classif.dbnDNN.RdDeep neural network with weights initialized by a deep belief network.
Calls deepnet::dbn.dnn.train() from deepnet.
This learner works with tasks that have at least two features.
Parameters
| Id | Type | Default | Levels | Range |
| hidden | untyped | - | - | |
| activationfun | character | - | sigm, linear, tanh | - |
| learningrate | numeric | - | \([0, \infty)\) | |
| momentum | numeric | - | \([0, \infty)\) | |
| learningrate_scale | numeric | - | \([0, \infty)\) | |
| numepochs | integer | - | \([1, \infty)\) | |
| batchsize | integer | - | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| hidden_dropout | numeric | - | \([0, 1]\) | |
| visible_dropout | numeric | - | \([0, 1]\) | |
| cd | integer | - | \([1, \infty)\) |
References
Rong X (2014). deepnet: Deep Learning Toolkit in R. R package version 0.2.1, https://CRAN.R-project.org/package=deepnet.
See also
as.data.table(mlr_learners)for a table of available Learners in the running session (depending on the loaded packages).Chapter in the mlr3book: https://mlr3book.mlr-org.com/basics.html#learners
mlr3learners for a selection of recommended learners.
mlr3cluster for unsupervised clustering learners.
mlr3pipelines to combine learners with pre- and postprocessing steps.
mlr3tuning for tuning of hyperparameters, mlr3tuningspaces for established default tuning spaces.
Super classes
mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifDbnDNN
Methods
Inherited methods
mlr3::Learner$base_learner()mlr3::Learner$configure()mlr3::Learner$encapsulate()mlr3::Learner$format()mlr3::Learner$help()mlr3::Learner$predict()mlr3::Learner$predict_newdata()mlr3::Learner$print()mlr3::Learner$reset()mlr3::Learner$selected_features()mlr3::Learner$train()mlr3::LearnerClassif$predict_newdata_fast()
Examples
# Define the Learner
learner = lrn("classif.dbnDNN")
print(learner)
#>
#> ── <LearnerClassifDbnDNN> (classif.dbnDNN): Deep Belief Network DNN ────────────
#> • Model: -
#> • Parameters: hidden=10, activationfun=sigm, learningrate=0.8, momentum=0.5,
#> learningrate_scale=1, numepochs=3, batchsize=100, output=softmax,
#> hidden_dropout=0, visible_dropout=0, cd=1
#> • Packages: mlr3 and deepnet
#> • Predict Types: [response] and prob
#> • Feature Types: integer and numeric
#> • Encapsulation: none (fallback: -)
#> • Properties: multiclass and twoclass
#> • Other settings: use_weights = 'error'
# Define a Task
task = tsk("sonar")
# Create train and test set
ids = partition(task)
# Train the learner on the training ids
learner$train(task, row_ids = ids$train)
#> begin to train dbn ......
#> training layer 1 rbm ...
#> dbn has been trained.
#> begin to train deep nn ......
#> deep nn has been trained.
print(learner$model)
#> $input_dim
#> [1] 60
#>
#> $output_dim
#> [1] 2
#>
#> $hidden
#> [1] 10
#>
#> $size
#> [1] 60 10 2
#>
#> $activationfun
#> [1] "sigm"
#>
#> $learningrate
#> [1] 0.8
#>
#> $momentum
#> [1] 0.5
#>
#> $learningrate_scale
#> [1] 1
#>
#> $hidden_dropout
#> [1] 0
#>
#> $visible_dropout
#> [1] 0
#>
#> $output
#> [1] "softmax"
#>
#> $W
#> $W[[1]]
#> V1 V10 V11 V12 V13 V14
#> [1,] -0.2461561 -0.17869073 -0.15463714 -0.1515706806 -0.04786024 -0.130090326
#> [2,] -0.2273444 -0.16253793 -0.09788157 -0.1177924936 -0.16849149 -0.009420851
#> [3,] -0.2793255 -0.30326805 -0.33168425 -0.1291151537 -0.18067878 -0.157206950
#> [4,] -0.2525759 -0.06216568 -0.06846697 -0.0338375002 0.01765816 0.044606186
#> [5,] -0.3314205 -0.19042379 -0.06389521 -0.1832373357 -0.07531610 0.046016773
#> [6,] -0.2840524 -0.13733697 -0.02743585 0.0115198847 -0.08032224 -0.063481008
#> [7,] -0.3578505 -0.15696187 -0.11108954 -0.1008239231 -0.02323619 -0.205045859
#> [8,] -0.3678105 -0.14013050 -0.09774594 -0.2097965081 -0.16950993 -0.170424343
#> [9,] -0.4229006 -0.09380577 -0.07727721 -0.0698714540 0.01581044 -0.174465636
#> [10,] -0.2468715 -0.05687175 -0.16054102 0.0008392709 -0.09080289 0.024512874
#> V15 V16 V17 V18 V19
#> [1,] -0.179562393 -0.14528504 0.009346738 0.074764504 0.026450697
#> [2,] 0.005465951 -0.12359453 -0.043176755 0.044069038 0.037531582
#> [3,] -0.211628720 -0.17579821 -0.133654346 -0.215572250 -0.075143298
#> [4,] -0.023450290 0.06960706 0.055256862 0.009517521 0.151728353
#> [5,] 0.079221389 0.10573381 0.024623756 0.061833072 0.116620131
#> [6,] 0.072109346 0.12490763 0.084980792 0.033546922 0.023239712
#> [7,] -0.179252291 -0.16796195 -0.259131384 -0.084164630 -0.132113337
#> [8,] -0.166112759 -0.05433922 0.015134960 -0.097003737 0.031298520
#> [9,] -0.170683031 -0.04924089 -0.004610383 0.019136558 0.008239773
#> [10,] -0.020435671 -0.03240006 0.097606619 0.129204959 0.088895292
#> V2 V20 V21 V22 V23 V24
#> [1,] -0.3577804 0.10102609 0.07611111 0.086764202 0.05999163 0.18278878
#> [2,] -0.2020216 -0.06350929 -0.10614508 -0.061320226 -0.01174583 0.08539530
#> [3,] -0.1655131 -0.07556645 -0.15233873 -0.095041245 -0.15371720 -0.01503770
#> [4,] -0.3709054 0.18114101 0.15785972 0.095984790 0.07624775 0.15740845
#> [5,] -0.2765283 0.18131808 0.18789735 0.198080090 0.21593911 0.19650241
#> [6,] -0.3747528 0.09466582 0.13864789 0.116084152 0.17318435 0.16089668
#> [7,] -0.2679171 -0.02055466 -0.10026363 -0.056517861 -0.07034595 -0.08905911
#> [8,] -0.3477084 0.06645193 0.12912659 0.086337550 0.14352911 0.01956987
#> [9,] -0.2550950 0.06821002 -0.02240240 -0.002820874 0.15025949 0.26228319
#> [10,] -0.2972331 0.10763473 0.13806929 0.115226148 0.11467003 0.12147452
#> V25 V26 V27 V28 V29 V3
#> [1,] 0.10767223 0.07709367 0.03049037 0.214769847 0.15130199 -0.2938230
#> [2,] 0.01732247 0.10206419 0.07287517 0.069810158 -0.01132291 -0.2216514
#> [3,] -0.19046239 -0.20087592 -0.06071947 -0.050319376 0.03026508 -0.2886984
#> [4,] 0.19017039 0.08194926 0.06234691 0.123531728 0.21816289 -0.2921096
#> [5,] 0.20008968 0.30589490 0.25178450 0.267995383 0.11010963 -0.2593471
#> [6,] 0.13282109 0.07517168 0.15860672 0.089913566 0.22719612 -0.3155937
#> [7,] 0.14434878 0.15578988 0.13292091 -0.003501197 0.04640239 -0.2027308
#> [8,] 0.07895713 0.16508811 0.22386526 0.112272794 0.03213240 -0.3093315
#> [9,] 0.22577516 0.11336783 0.23937668 0.155010677 0.04808802 -0.2211585
#> [10,] 0.03763672 0.20540265 0.08466875 0.043919065 -0.02830094 -0.3382618
#> V30 V31 V32 V33 V34
#> [1,] 0.0369597856 0.03716338 -0.074371577 0.04615849 -0.071810914
#> [2,] -0.1121270857 -0.01887623 0.005063992 -0.10728583 -0.009614795
#> [3,] -0.0433077743 -0.11738305 -0.093182726 -0.21731800 -0.111714553
#> [4,] 0.1867476879 -0.02232868 0.142156063 -0.01075511 -0.064236800
#> [5,] 0.1347030061 0.10898309 0.070755194 0.08106440 -0.060948102
#> [6,] 0.0007014405 0.05048157 -0.026733797 0.05679742 -0.005393559
#> [7,] 0.0176444423 -0.10959757 0.065854139 -0.06811255 0.012484129
#> [8,] 0.0313026359 0.04542302 0.024639356 0.01674121 -0.035119166
#> [9,] 0.0764994202 0.10632777 -0.042549623 -0.07197046 -0.088427363
#> [10,] 0.0799074651 0.01544789 -0.032018745 -0.06378854 0.025274864
#> V35 V36 V37 V38 V39
#> [1,] -0.099663448 -0.006425894 -0.0066662178 -0.090843018 -0.0006337076
#> [2,] 0.046739531 0.062441634 -0.0554450960 -0.017679117 0.0153356778
#> [3,] -0.084465634 -0.210213309 -0.1824822604 -0.160492416 -0.1591134840
#> [4,] -0.045912551 -0.089112995 0.0115482208 0.067864088 -0.0230924874
#> [5,] -0.007383567 -0.006257565 0.0012832977 -0.097802616 -0.1024964899
#> [6,] -0.097444644 -0.070661656 -0.0608449003 0.057076633 0.0084759565
#> [7,] -0.072523061 -0.122635012 0.0450070380 -0.005644126 -0.0895993348
#> [8,] -0.010012183 0.009285989 0.0005339391 0.005714310 -0.0218310371
#> [9,] -0.097827987 -0.005355900 -0.0452823590 -0.072227362 -0.0901466939
#> [10,] -0.007079900 -0.007790078 -0.0092272687 0.050275061 0.0778023976
#> V4 V40 V41 V42 V43 V44
#> [1,] -0.3031540 -0.142825182 -0.07188201 -0.04069289 -0.20535318 -0.09167427
#> [2,] -0.3035062 -0.098746878 -0.09390163 -0.15586866 -0.15284517 -0.15451015
#> [3,] -0.1201047 -0.126139054 -0.11694738 -0.21944142 -0.16953062 -0.13478961
#> [4,] -0.3061745 0.066603269 0.05181066 -0.06936934 -0.13561283 -0.01053024
#> [5,] -0.1978722 -0.100594186 -0.14078927 -0.16132564 -0.15176734 -0.23750462
#> [6,] -0.3180214 0.004417835 -0.02555604 -0.11767349 -0.12379572 -0.03988029
#> [7,] -0.2598974 -0.126615987 -0.02820351 -0.09239761 -0.11567525 -0.01041616
#> [8,] -0.2896609 -0.003593622 -0.06789043 0.01156483 -0.02212101 -0.05713746
#> [9,] -0.3478482 -0.145548638 -0.12513613 -0.01977369 -0.04134893 -0.19571147
#> [10,] -0.1946764 -0.020400265 -0.12763601 -0.11108839 -0.01362618 -0.20163625
#> V45 V46 V47 V48 V49 V5
#> [1,] -0.06396744 -0.09229589 -0.1705699 -0.2531077 -0.2200870 -0.2546544
#> [2,] -0.17580981 -0.24457506 -0.1827431 -0.2828771 -0.2655562 -0.1688217
#> [3,] -0.17019483 -0.20621122 -0.1747686 -0.2058265 -0.1503221 -0.1454181
#> [4,] -0.05959714 -0.05241607 -0.1040540 -0.1431891 -0.3320757 -0.1722836
#> [5,] -0.24034843 -0.10864565 -0.2278739 -0.3265944 -0.3428984 -0.1953091
#> [6,] -0.09889709 -0.16002923 -0.2516594 -0.1291458 -0.2831344 -0.2716275
#> [7,] -0.06037140 -0.21239234 -0.1956700 -0.1408454 -0.2920392 -0.1350755
#> [8,] -0.07576950 -0.10285368 -0.1017459 -0.2104242 -0.2867148 -0.3091728
#> [9,] -0.17855095 -0.11822798 -0.2463643 -0.1493736 -0.2219477 -0.2589132
#> [10,] -0.07446897 -0.19713697 -0.2450194 -0.3001244 -0.3247541 -0.3255132
#> V50 V51 V52 V53 V54 V55
#> [1,] -0.3615979 -0.2065370 -0.2887013 -0.2386746 -0.2140320 -0.3429241
#> [2,] -0.3822563 -0.3288301 -0.2320760 -0.3833586 -0.2801674 -0.2751114
#> [3,] -0.1963935 -0.3177385 -0.3413841 -0.3169758 -0.3448225 -0.3421429
#> [4,] -0.3756222 -0.4250588 -0.4047678 -0.3540093 -0.3908788 -0.3779394
#> [5,] -0.2906385 -0.3608268 -0.3705331 -0.3811686 -0.4778978 -0.3108385
#> [6,] -0.2920753 -0.3232853 -0.4404783 -0.4620400 -0.3892244 -0.3533258
#> [7,] -0.3502611 -0.2667793 -0.3017784 -0.2212359 -0.3025007 -0.2600544
#> [8,] -0.2956670 -0.3353321 -0.2703144 -0.3172963 -0.3224885 -0.3403612
#> [9,] -0.2535209 -0.2805827 -0.4058037 -0.3412794 -0.3500728 -0.4011548
#> [10,] -0.3553447 -0.3456684 -0.3658868 -0.2833194 -0.2902395 -0.2710729
#> V56 V57 V58 V59 V6 V60
#> [1,] -0.4000781 -0.2991849 -0.2683014 -0.3134828 -0.2579678 -0.2532340
#> [2,] -0.3104522 -0.2868347 -0.3153572 -0.1941548 -0.2736727 -0.3549592
#> [3,] -0.1750710 -0.3020891 -0.2508338 -0.2918321 -0.1967498 -0.1859247
#> [4,] -0.3763720 -0.4523740 -0.2864117 -0.3302109 -0.2296374 -0.4195986
#> [5,] -0.3448342 -0.3557892 -0.3786155 -0.4590504 -0.1606916 -0.4683352
#> [6,] -0.3917547 -0.3550973 -0.4244987 -0.3452035 -0.2031197 -0.3865061
#> [7,] -0.2661252 -0.2604936 -0.2796142 -0.3180190 -0.2688411 -0.2273704
#> [8,] -0.3427102 -0.2789013 -0.3630458 -0.3679981 -0.1522136 -0.3230422
#> [9,] -0.3578972 -0.2861509 -0.3335586 -0.3932916 -0.1599284 -0.2731813
#> [10,] -0.3946445 -0.3342375 -0.3002998 -0.2985974 -0.2680646 -0.3581686
#> V7 V8 V9
#> [1,] -0.1393354 -0.25210251 -0.09345797
#> [2,] -0.2715497 -0.13848361 -0.21741475
#> [3,] -0.2090406 -0.18420708 -0.12918898
#> [4,] -0.1928190 -0.13255024 -0.18002557
#> [5,] -0.2260458 -0.26997866 -0.23570568
#> [6,] -0.2139843 -0.13989845 -0.13663701
#> [7,] -0.1225871 -0.16152535 -0.12282600
#> [8,] -0.2459987 -0.13674391 -0.13586712
#> [9,] -0.1236321 -0.16103910 -0.13287653
#> [10,] -0.1632623 -0.07190875 -0.02096127
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.046639512 -0.07767717 0.04239504 0.07232887 0.02568755 -0.1089394
#> [2,] 0.005440927 0.18261515 0.09207378 0.07943171 0.11954930 -0.0201768
#> [,7] [,8] [,9] [,10]
#> [1,] 0.02262372 -0.07938798 -0.05036241 0.04132933
#> [2,] 0.06656879 0.04846744 0.12277637 0.09101518
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 1.928121e-05 1.119851e-05 -4.453163e-05 6.900078e-05 3.064389e-04
#> [2,] 5.543096e-05 9.249391e-04 1.068381e-03 8.339806e-04 3.989845e-04
#> [3,] -5.264832e-07 1.829166e-05 2.350966e-05 1.428884e-05 -4.390389e-06
#> [4,] 1.589234e-06 -1.647995e-04 -2.270676e-04 -7.902467e-06 2.886323e-04
#> [5,] 2.176538e-05 1.124444e-04 1.055950e-04 2.148655e-04 3.181952e-04
#> [6,] 2.993676e-05 1.835381e-04 1.734785e-04 2.672884e-04 4.019859e-04
#> [7,] 2.659757e-06 -1.507532e-04 -2.124524e-04 -1.456688e-04 4.883646e-05
#> [8,] 5.179631e-05 4.483374e-04 4.644661e-04 4.654922e-04 5.089916e-04
#> [9,] 8.378828e-05 8.139652e-04 8.931564e-04 7.859504e-04 6.775809e-04
#> [10,] 5.072455e-06 -1.293080e-04 -1.879738e-04 -1.548100e-05 2.615310e-04
#> V14 V15 V16 V17 V18
#> [1,] 5.594184e-04 8.880377e-04 1.158511e-03 1.285080e-03 1.325447e-03
#> [2,] 1.419915e-04 -3.564755e-04 -7.096521e-04 -8.732647e-04 -8.226818e-04
#> [3,] -9.399060e-06 -2.867201e-05 -4.214437e-05 -4.875089e-05 -5.151743e-05
#> [4,] 5.164608e-04 8.680418e-04 1.168256e-03 1.376414e-03 1.439312e-03
#> [5,] 4.131879e-04 5.530449e-04 6.921784e-04 7.811816e-04 8.478426e-04
#> [6,] 5.359810e-04 7.113081e-04 8.838938e-04 9.829812e-04 1.050360e-03
#> [7,] 2.785428e-04 5.623788e-04 7.615683e-04 8.324882e-04 8.384034e-04
#> [8,] 6.108794e-04 6.955486e-04 8.025741e-04 8.418771e-04 8.981450e-04
#> [9,] 6.501307e-04 5.231784e-04 4.917339e-04 4.567727e-04 5.263011e-04
#> [10,] 5.329586e-04 9.094392e-04 1.199875e-03 1.364204e-03 1.422237e-03
#> V19 V2 V20 V21 V22
#> [1,] 1.132916e-03 2.990508e-05 9.479553e-04 9.009233e-04 7.676131e-04
#> [2,] -4.793050e-04 9.864606e-05 -1.401615e-05 4.472300e-05 5.040863e-04
#> [3,] -4.956589e-05 6.665024e-07 -4.357634e-05 -4.363661e-05 -1.998006e-05
#> [4,] 1.215980e-03 1.337283e-06 8.686641e-04 8.405876e-04 7.065533e-04
#> [5,] 7.995777e-04 3.191535e-05 6.751935e-04 6.464736e-04 6.033221e-04
#> [6,] 9.981305e-04 4.486601e-05 9.076093e-04 8.861190e-04 8.397732e-04
#> [7,] 6.328101e-04 6.938414e-06 4.815263e-04 4.400993e-04 3.260010e-04
#> [8,] 9.244353e-04 7.973896e-05 1.005885e-03 9.926776e-04 1.023891e-03
#> [9,] 7.864119e-04 1.228545e-04 1.135814e-03 1.150339e-03 1.288613e-03
#> [10,] 1.165269e-03 1.025529e-05 8.622096e-04 8.009873e-04 6.565766e-04
#> V23 V24 V25 V26 V27
#> [1,] 1.051977e-03 0.0014000249 1.589116e-03 0.0017334717 0.0017222492
#> [2,] 1.929785e-04 -0.0005080891 -1.095092e-03 -0.0012839295 -0.0012548481
#> [3,] -3.358615e-05 -0.0000692449 -9.645512e-05 -0.0001061372 -0.0001068957
#> [4,] 1.031760e-03 0.0014591910 1.715576e-03 0.0018701782 0.0019053466
#> [5,] 7.371396e-04 0.0008890733 9.413409e-04 0.0010067536 0.0010313993
#> [6,] 1.011999e-03 0.0012063374 1.284613e-03 0.0013655908 0.0013737849
#> [7,] 5.855332e-04 0.0008539250 9.837633e-04 0.0011281164 0.0011044124
#> [8,] 1.129307e-03 0.0011708897 1.122981e-03 0.0011783138 0.0011819730
#> [9,] 1.230974e-03 0.0010207774 7.898730e-04 0.0007630877 0.0007691341
#> [10,] 9.840005e-04 0.0013825116 1.592562e-03 0.0017359145 0.0017296119
#> V28 V29 V3 V30 V31
#> [1,] 0.0017132412 0.0015442522 5.325162e-05 0.0014719560 0.0016467304
#> [2,] -0.0011305750 -0.0009193558 1.240948e-04 -0.0009566163 -0.0013766034
#> [3,] -0.0001025145 -0.0000848203 2.393847e-06 -0.0000857696 -0.0000961926
#> [4,] 0.0019059823 0.0017508426 1.811755e-05 0.0015996122 0.0018676031
#> [5,] 0.0010947340 0.0010444152 4.628726e-05 0.0009645486 0.0010515609
#> [6,] 0.0014152721 0.0013115519 6.306386e-05 0.0012169196 0.0012932056
#> [7,] 0.0010766501 0.0009860415 2.639006e-05 0.0009731222 0.0011285530
#> [8,] 0.0012307971 0.0011316898 1.050398e-04 0.0010595030 0.0010141141
#> [9,] 0.0008517824 0.0007906772 1.445412e-04 0.0007367657 0.0004806753
#> [10,] 0.0017456666 0.0016227208 3.338572e-05 0.0015254026 0.0017661916
#> V32 V33 V34 V35 V36
#> [1,] 1.271297e-03 1.361237e-03 0.0016452363 0.0019055510 0.0019822957
#> [2,] -9.197952e-04 -1.353721e-03 -0.0019822183 -0.0024690283 -0.0025300861
#> [3,] -7.521517e-05 -9.276862e-05 -0.0001204701 -0.0001387416 -0.0001388578
#> [4,] 1.428441e-03 1.564396e-03 0.0019558686 0.0023121183 0.0024070164
#> [5,] 8.415180e-04 8.541097e-04 0.0009897306 0.0011152622 0.0011743366
#> [6,] 1.047505e-03 1.054976e-03 0.0011922995 0.0013175199 0.0013694661
#> [7,] 8.450059e-04 9.773323e-04 0.0012566701 0.0015278328 0.0015926378
#> [8,] 8.752733e-04 7.796391e-04 0.0007603437 0.0007541787 0.0007770978
#> [9,] 5.538689e-04 3.179036e-04 0.0000344902 -0.0002383700 -0.0003063640
#> [10,] 1.326558e-03 1.474588e-03 0.0018484802 0.0022066707 0.0023287037
#> V37 V38 V39 V4 V40
#> [1,] 1.582089e-03 1.168909e-03 1.090157e-03 1.731309e-05 1.089466e-03
#> [2,] -1.655410e-03 -1.085832e-03 -1.124005e-03 1.820022e-04 -1.066888e-03
#> [3,] -9.791313e-05 -7.565462e-05 -7.771182e-05 3.487740e-06 -6.738348e-05
#> [4,] 1.842896e-03 1.358691e-03 1.343692e-03 -3.746850e-05 1.369858e-03
#> [5,] 1.004999e-03 8.207487e-04 8.073013e-04 2.157761e-05 7.959269e-04
#> [6,] 1.161385e-03 9.294947e-04 8.934938e-04 4.011631e-05 8.821814e-04
#> [7,] 1.221793e-03 8.587203e-04 7.635218e-04 -3.348810e-06 7.535452e-04
#> [8,] 7.831050e-04 6.810880e-04 6.088707e-04 1.034845e-04 5.853692e-04
#> [9,] 4.279729e-05 2.451790e-04 1.898292e-04 1.793101e-04 1.166075e-04
#> [10,] 1.814440e-03 1.310690e-03 1.240487e-03 -1.889920e-05 1.260741e-03
#> V41 V42 V43 V44 V45
#> [1,] 6.523813e-04 4.594516e-04 3.803419e-04 2.038398e-04 -1.564334e-04
#> [2,] -4.206690e-04 -1.626483e-04 -1.169414e-04 1.747207e-04 7.606737e-04
#> [3,] -4.133233e-05 -3.527605e-05 -3.152895e-05 -1.738103e-05 7.321011e-06
#> [4,] 8.170178e-04 5.661614e-04 4.603369e-04 2.415406e-04 -2.680554e-04
#> [5,] 5.400062e-04 4.193910e-04 3.430370e-04 2.396601e-04 2.480010e-05
#> [6,] 5.977505e-04 4.734575e-04 4.034577e-04 2.887986e-04 5.524924e-05
#> [7,] 4.285488e-04 2.916134e-04 2.052644e-04 4.427678e-05 -2.341908e-04
#> [8,] 4.795605e-04 4.354633e-04 3.791713e-04 3.343876e-04 2.763276e-04
#> [9,] 3.166958e-04 4.210880e-04 3.986452e-04 4.650943e-04 6.827081e-04
#> [10,] 7.239171e-04 4.856790e-04 3.862789e-04 1.664206e-04 -3.103557e-04
#> V46 V47 V48 V49 V5
#> [1,] -1.110959e-04 -6.250403e-06 -1.068132e-05 -1.767164e-05 9.787909e-05
#> [2,] 5.191334e-04 3.057312e-04 2.715596e-04 1.733213e-04 1.543680e-04
#> [3,] 4.115183e-06 1.933808e-06 3.124791e-06 2.528770e-06 1.174215e-06
#> [4,] -1.988685e-04 -3.397650e-05 -5.405208e-05 -4.038031e-05 7.871815e-05
#> [5,] 1.971266e-05 6.885991e-05 4.038810e-05 1.946093e-05 9.406530e-05
#> [6,] 4.138802e-05 8.348437e-05 5.826723e-05 2.794043e-05 1.206428e-04
#> [7,] -1.750749e-04 -7.891150e-05 -5.953722e-05 -4.209157e-05 3.452335e-05
#> [8,] 1.987410e-04 1.641599e-04 1.356171e-04 7.475648e-05 1.645822e-04
#> [9,] 4.990913e-04 3.153937e-04 2.638877e-04 1.557674e-04 2.210887e-04
#> [10,] -2.344596e-04 -6.512577e-05 -6.396164e-05 -4.768890e-05 7.865161e-05
#> V50 V51 V52 V53 V54
#> [1,] 2.188151e-05 1.383977e-05 -1.943507e-06 1.617112e-05 1.561222e-05
#> [2,] -2.183956e-05 5.408530e-06 4.347516e-05 5.912103e-06 1.029771e-07
#> [3,] -2.856895e-06 -1.255789e-06 7.287854e-07 -5.589726e-07 -1.129161e-06
#> [4,] 2.629370e-05 1.293908e-05 -1.500378e-05 1.396781e-05 1.375987e-05
#> [5,] 1.845724e-05 1.321162e-05 1.653345e-06 1.327821e-05 1.225119e-05
#> [6,] 2.312734e-05 1.721162e-05 5.469372e-06 1.638255e-05 1.577434e-05
#> [7,] 8.584429e-06 4.281379e-06 -4.344269e-06 1.132798e-05 8.739147e-06
#> [8,] 2.021437e-05 2.121260e-05 2.058561e-05 1.915653e-05 1.769398e-05
#> [9,] 2.348825e-05 2.963037e-05 4.127379e-05 2.179627e-05 2.072640e-05
#> [10,] 1.801393e-05 8.636727e-06 -1.189942e-05 1.486641e-05 1.370566e-05
#> V55 V56 V57 V58 V59
#> [1,] 2.238919e-05 1.780694e-05 2.211700e-05 1.378968e-05 1.942961e-05
#> [2,] -2.171095e-05 -5.625479e-06 -5.624036e-06 8.603836e-06 -4.846687e-06
#> [3,] -1.643843e-06 -1.006915e-06 -7.164771e-07 -3.507439e-07 -7.565654e-07
#> [4,] 2.394919e-05 1.751197e-05 2.113512e-05 1.189607e-05 1.998209e-05
#> [5,] 1.486633e-05 1.312703e-05 1.476794e-05 1.296591e-05 1.506053e-05
#> [6,] 1.850370e-05 1.635570e-05 1.861345e-05 1.568060e-05 1.778184e-05
#> [7,] 1.560380e-05 1.111757e-05 1.565786e-05 8.186666e-06 1.309854e-05
#> [8,] 1.478590e-05 1.632142e-05 1.867848e-05 1.839699e-05 1.713536e-05
#> [9,] 1.043709e-05 1.595043e-05 1.555983e-05 2.305315e-05 1.539142e-05
#> [10,] 2.297579e-05 1.751313e-05 2.250957e-05 1.319822e-05 2.049476e-05
#> V6 V60 V7 V8 V9
#> [1,] 2.512871e-04 1.892595e-05 2.701587e-04 1.964647e-04 1.753147e-05
#> [2,] 8.329409e-05 -9.428047e-06 8.402011e-05 3.180837e-04 8.153772e-04
#> [3,] -1.552501e-06 -8.430900e-07 -2.644878e-06 7.191139e-06 1.802150e-05
#> [4,] 2.436982e-04 1.977909e-05 2.535434e-04 1.194147e-04 -1.810874e-04
#> [5,] 1.935289e-04 1.321782e-05 2.100233e-04 1.778124e-04 8.102686e-05
#> [6,] 2.394418e-04 1.589597e-05 2.597220e-04 2.257781e-04 1.470101e-04
#> [7,] 1.430583e-04 1.278747e-05 1.491846e-04 8.340757e-05 -1.043373e-04
#> [8,] 2.659255e-04 1.440650e-05 2.891360e-04 3.218909e-04 3.999550e-04
#> [9,] 2.604464e-04 1.049675e-05 2.892279e-04 4.031491e-04 7.210261e-04
#> [10,] 2.521284e-04 1.980032e-05 2.677181e-04 1.645643e-04 -1.185566e-04
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.05231397 0.05392801 0.01189229 0.0644948 0.06998361 0.06518158
#> [2,] -0.05231397 -0.05392801 -0.01189229 -0.0644948 -0.06998361 -0.06518158
#> [,7] [,8] [,9] [,10]
#> [1,] 0.04120035 0.06014816 0.05848874 0.0637859
#> [2,] -0.04120035 -0.06014816 -0.05848874 -0.0637859
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.1838317 0.2830907 -0.3647561 0.6753031 0.7718823 0.7837763
#> [7] 0.1392485 0.3965744 0.5425260 0.5889265
#>
#> $B[[2]]
#> [1] -0.12584375 -0.06950257
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 0.0028201301 -0.0021012497 -0.0001615723 0.0031932997 0.0018360044
#> [6] 0.0022723168 0.0019010187 0.0018516969 0.0010489232 0.0030191479
#>
#> $vB[[2]]
#> [1] 0.08003243 -0.08003243
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0305 0.3127 0.2192 0.2621 0.2419 0.2179 0.1159 0.1237 0.0886 0.1755
#> [2,] 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> [3,] 0.0270 0.1520 0.1675 0.1370 0.1361 0.1345 0.2144 0.5354 0.6830 0.5600
#> [4,] 0.0293 0.0860 0.0414 0.0472 0.0835 0.0938 0.1466 0.0809 0.1179 0.2179
#> [5,] 0.0131 0.0901 0.0750 0.0844 0.1226 0.1619 0.2317 0.2934 0.3526 0.3657
#> [6,] 0.0100 0.2990 0.3242 0.3565 0.3951 0.5201 0.6953 0.8468 1.0000 0.9278
#> [7,] 0.0124 0.2120 0.1640 0.1901 0.3026 0.2019 0.0592 0.2390 0.3657 0.3809
#> [8,] 0.0197 0.1695 0.1734 0.2470 0.3141 0.3297 0.2759 0.2056 0.1162 0.1884
#> [9,] 0.0162 0.1779 0.2164 0.2568 0.3089 0.3829 0.4393 0.5335 0.5996 0.6728
#> [10,] 0.0454 0.1675 0.2799 0.3323 0.4012 0.4296 0.5350 0.5411 0.6870 0.8045
#> [11,] 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> [12,] 0.0388 0.2718 0.3645 0.3934 0.3843 0.4677 0.5364 0.4823 0.4835 0.5862
#> [13,] 0.0071 0.0898 0.0289 0.1554 0.1437 0.1035 0.1424 0.1227 0.0892 0.2047
#> [14,] 0.0428 0.0113 0.1255 0.2473 0.3011 0.3747 0.4520 0.5392 0.6588 0.7113
#> [15,] 0.0195 0.0242 0.0728 0.0639 0.3002 0.3854 0.4767 0.4602 0.3175 0.4160
#> [16,] 0.0264 0.0945 0.1132 0.0840 0.0717 0.1968 0.2633 0.4191 0.5050 0.6711
#> [17,] 0.0519 0.2838 0.2802 0.3086 0.2657 0.3801 0.5626 0.4376 0.2617 0.1199
#> [18,] 0.0459 0.1408 0.2693 0.3259 0.4545 0.5785 0.4471 0.2231 0.2164 0.3201
#> [19,] 0.0240 0.0389 0.1934 0.2434 0.2906 0.2606 0.3811 0.4997 0.3015 0.3655
#> [20,] 0.0108 0.0393 0.1106 0.1412 0.2202 0.2976 0.4116 0.4754 0.5390 0.6279
#> [21,] 0.0340 0.4117 0.5245 0.5341 0.5554 0.3915 0.2950 0.3075 0.3021 0.2719
#> [22,] 0.0202 0.1370 0.0843 0.0269 0.1254 0.3046 0.5584 0.7973 0.8341 0.8057
#> [23,] 0.0233 0.2078 0.1239 0.0236 0.1771 0.3115 0.4990 0.6707 0.7655 0.8485
#> [24,] 0.0200 0.2111 0.1609 0.1582 0.2238 0.0645 0.0660 0.2273 0.3100 0.2999
#> [25,] 0.0430 0.7106 0.7342 0.5033 0.3000 0.1951 0.2767 0.3737 0.2507 0.2507
#> [26,] 0.0084 0.1753 0.1970 0.1167 0.1683 0.0814 0.2179 0.5121 0.7231 0.7776
#> [27,] 0.0131 0.3193 0.3468 0.3738 0.3055 0.1926 0.1385 0.2122 0.2758 0.4576
#> [28,] 0.0094 0.5079 0.3350 0.0834 0.3004 0.3957 0.3769 0.3828 0.1247 0.1363
#> [29,] 0.1088 0.5761 0.4733 0.2362 0.1023 0.2904 0.4713 0.4659 0.1415 0.0849
#> [30,] 0.0294 0.3473 0.4231 0.5044 0.5237 0.4398 0.3236 0.2956 0.3286 0.3231
#> [31,] 0.0442 0.1268 0.1109 0.2375 0.2007 0.2140 0.1109 0.2036 0.2468 0.6682
#> [32,] 0.0707 0.1247 0.2340 0.1764 0.2284 0.3115 0.4725 0.5543 0.5386 0.3746
#> [33,] 0.0091 0.0837 0.1579 0.0898 0.0309 0.1856 0.2969 0.2032 0.1264 0.1655
#> [34,] 0.0047 0.3469 0.3265 0.3263 0.2301 0.1253 0.2102 0.2401 0.1928 0.1673
#> [35,] 0.0731 0.1114 0.1739 0.3160 0.3249 0.2164 0.2031 0.2580 0.1796 0.2422
#> [36,] 0.0107 0.2936 0.3104 0.3431 0.2456 0.1887 0.1184 0.2080 0.2736 0.3274
#> [37,] 0.0293 0.0751 0.0528 0.1209 0.1763 0.2039 0.2727 0.2321 0.2676 0.2934
#> [38,] 0.0115 0.0734 0.0740 0.0622 0.1055 0.1183 0.1721 0.2584 0.3232 0.3817
#> [39,] 0.0211 0.1345 0.0785 0.0367 0.1227 0.2614 0.4280 0.6122 0.7435 0.8130
#> [40,] 0.0201 0.0279 0.2251 0.2615 0.1770 0.3709 0.4533 0.5553 0.4616 0.3797
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.1758 0.0363 0.1540 0.0512 0.1805 0.4039 0.5697 0.6577 0.7474 0.8543
#> [2,] 0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> [3,] 0.3093 0.0092 0.3226 0.4430 0.5573 0.5782 0.6173 0.8132 0.9819 0.9823
#> [4,] 0.3326 0.0644 0.3258 0.2111 0.2302 0.3361 0.4259 0.4609 0.2606 0.0874
#> [5,] 0.3221 0.0068 0.3093 0.4084 0.4285 0.4663 0.5956 0.6948 0.8386 0.8875
#> [6,] 0.8510 0.0194 0.8010 0.8142 0.8825 0.7302 0.6107 0.7159 0.8458 0.6319
#> [7,] 0.5929 0.0433 0.6299 0.5801 0.4574 0.4449 0.3691 0.6446 0.8940 0.8978
#> [8,] 0.3390 0.0394 0.3926 0.4282 0.5418 0.6448 0.7223 0.7853 0.7984 0.8847
#> [9,] 0.7309 0.0041 0.8092 0.8941 0.9668 1.0000 0.9893 0.9376 0.8991 0.9184
#> [10,] 0.9194 0.0472 0.9169 1.0000 0.9972 0.9093 0.7918 0.6705 0.5324 0.3572
#> [11,] 0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> [12,] 0.7579 0.0324 0.6997 0.6918 0.8633 0.9107 0.9346 0.7884 0.8585 0.9261
#> [13,] 0.0827 0.0103 0.1524 0.3031 0.1608 0.0667 0.1426 0.0395 0.1653 0.3399
#> [14,] 0.7602 0.0555 0.8672 0.8416 0.7974 0.8385 0.9317 0.8555 0.6162 0.4139
#> [15,] 0.6428 0.0213 1.0000 0.8631 0.5212 0.3156 0.5952 0.7732 0.6042 0.4375
#> [16,] 0.7922 0.0071 0.8381 0.8759 0.9422 1.0000 0.9931 0.9575 0.8647 0.7215
#> [17,] 0.6676 0.0548 0.9402 0.7832 0.5352 0.6809 0.9174 0.7613 0.8220 0.8872
#> [18,] 0.2915 0.0437 0.4235 0.4460 0.2380 0.6415 0.8966 0.8918 0.7529 0.6838
#> [19,] 0.6791 0.0218 0.7307 0.5053 0.4441 0.6987 0.8133 0.7781 0.8943 0.8929
#> [20,] 0.7060 0.0086 0.7918 0.9493 1.0000 0.9645 0.9432 0.8658 0.7895 0.6501
#> [21,] 0.5443 0.0625 0.7932 0.8751 0.8667 0.7107 0.6911 0.7287 0.8792 1.0000
#> [22,] 0.8616 0.0104 0.8769 0.9413 0.9403 0.9409 1.0000 0.9725 0.9309 0.9351
#> [23,] 0.9805 0.0394 1.0000 1.0000 0.9992 0.9067 0.6803 0.5103 0.4716 0.4980
#> [24,] 0.5078 0.0371 0.4797 0.5783 0.5071 0.4328 0.5550 0.6711 0.6415 0.7104
#> [25,] 0.3292 0.0902 0.4871 0.6527 0.8454 0.9739 1.0000 0.6665 0.5323 0.4024
#> [26,] 0.6222 0.0153 0.3501 0.3733 0.2622 0.3776 0.7361 0.8673 0.8223 0.7772
#> [27,] 0.6487 0.0387 0.7154 0.8010 0.7924 0.8793 1.0000 0.9865 0.9474 0.9474
#> [28,] 0.2678 0.0611 0.9188 0.9779 0.3236 0.1944 0.1874 0.0885 0.3443 0.2953
#> [29,] 0.3257 0.1278 0.9007 0.9312 0.4856 0.1346 0.1604 0.2737 0.5609 0.3654
#> [30,] 0.4528 0.0123 0.6339 0.7044 0.8314 0.8449 0.8512 0.9138 0.9985 1.0000
#> [31,] 0.8345 0.0477 0.8252 0.8017 0.8982 0.9664 0.8515 0.6626 0.3241 0.2054
#> [32,] 0.4583 0.1252 0.5961 0.7464 0.7644 0.5711 0.6257 0.6695 0.7131 0.7567
#> [33,] 0.1661 0.0213 0.2091 0.2310 0.4460 0.6634 0.6933 0.7663 0.8206 0.7049
#> [34,] 0.1228 0.0059 0.0902 0.1557 0.3291 0.5268 0.6740 0.7906 0.8938 0.9395
#> [35,] 0.3609 0.1249 0.1810 0.2604 0.6572 0.9734 0.9757 0.8079 0.6521 0.4915
#> [36,] 0.2344 0.0453 0.1260 0.0576 0.1241 0.3239 0.4357 0.5734 0.7825 0.9252
#> [37,] 0.3295 0.0378 0.4910 0.5402 0.6257 0.6826 0.7527 0.8504 0.8938 0.9928
#> [38,] 0.4243 0.0150 0.4217 0.4449 0.4075 0.3306 0.4012 0.4466 0.5218 0.7552
#> [39,] 0.9006 0.0128 0.9603 0.9162 0.9140 0.7851 0.5134 0.3439 0.3290 0.2571
#> [40,] 0.3450 0.0423 0.2665 0.2395 0.1127 0.2556 0.5169 0.3779 0.4082 0.5353
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.9085 0.8668 0.0214 0.8892 0.9065 0.8522 0.7204 0.6200 0.6253 0.6848
#> [2,] 0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> [3,] 0.9166 0.7423 0.0145 0.7736 0.8473 0.7352 0.6671 0.6083 0.6239 0.5972
#> [4,] 0.2862 0.5606 0.0390 0.8344 0.8096 0.7250 0.8048 0.9435 1.0000 0.8960
#> [5,] 0.6404 0.3308 0.0308 0.3425 0.4920 0.4592 0.3034 0.4366 0.5175 0.5122
#> [6,] 0.4808 0.6291 0.0155 0.7152 0.6005 0.4235 0.4106 0.3992 0.1730 0.1975
#> [7,] 0.4980 0.3333 0.0604 0.2350 0.1553 0.3666 0.4340 0.3082 0.3024 0.4109
#> [8,] 0.9582 0.8990 0.0384 0.6831 0.6108 0.5480 0.5058 0.4476 0.2401 0.1405
#> [9,] 0.9128 0.7811 0.0239 0.6018 0.3765 0.3300 0.2280 0.0212 0.1117 0.1788
#> [10,] 0.2484 0.3161 0.0697 0.3775 0.3138 0.1713 0.2937 0.5234 0.5926 0.5437
#> [11,] 0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> [12,] 0.7080 0.5779 0.0688 0.5215 0.4505 0.3129 0.1448 0.1046 0.1820 0.1519
#> [13,] 0.4855 0.5206 0.0135 0.5508 0.6102 0.5989 0.6764 0.8897 1.0000 0.9517
#> [14,] 0.3269 0.3108 0.0708 0.2554 0.3367 0.4465 0.5000 0.5111 0.5194 0.4619
#> [15,] 0.5487 0.4720 0.0058 0.6235 0.3851 0.1590 0.3891 0.5294 0.3504 0.4480
#> [16,] 0.5801 0.4964 0.0342 0.4886 0.4079 0.2443 0.1768 0.2472 0.3518 0.3762
#> [17,] 0.6091 0.2967 0.0842 0.1103 0.1318 0.0624 0.0990 0.4006 0.3666 0.1050
#> [18,] 0.8390 1.0000 0.0347 0.8362 0.5427 0.4577 0.8067 0.6973 0.3915 0.1558
#> [19,] 0.8913 0.8610 0.0324 0.8063 0.5540 0.2446 0.3459 0.1615 0.2467 0.5564
#> [20,] 0.4492 0.4739 0.0058 0.6153 0.4929 0.3195 0.3735 0.3336 0.1052 0.0671
#> [21,] 0.9816 0.8984 0.0381 0.6048 0.4934 0.5371 0.4586 0.2908 0.0774 0.2249
#> [22,] 0.7317 0.4421 0.0325 0.3244 0.4161 0.4611 0.4031 0.3000 0.2459 0.1348
#> [23,] 0.6196 0.7171 0.0416 0.6316 0.3554 0.2897 0.4316 0.3791 0.2421 0.0944
#> [24,] 0.8080 0.6791 0.0428 0.3857 0.1307 0.2604 0.5121 0.7547 0.8537 0.8507
#> [25,] 0.3444 0.4239 0.0833 0.4182 0.4393 0.1162 0.4336 0.6553 0.6172 0.4373
#> [26,] 0.7862 0.5652 0.0291 0.3635 0.3534 0.3865 0.3370 0.1693 0.2627 0.3195
#> [27,] 0.9315 0.8326 0.0329 0.6213 0.3772 0.2822 0.2042 0.2190 0.2223 0.1327
#> [28,] 0.5908 0.4564 0.1136 0.7334 0.1969 0.2790 0.6212 0.8681 0.8621 0.9380
#> [29,] 0.6139 0.5470 0.0926 0.8474 0.5638 0.5443 0.5086 0.6253 0.8497 0.8406
#> [30,] 0.7544 0.4661 0.0117 0.3924 0.3849 0.4674 0.4245 0.3095 0.0752 0.2885
#> [31,] 0.5669 0.5726 0.0049 0.4877 0.7532 0.7600 0.5185 0.4120 0.5560 0.5569
#> [32,] 0.8077 0.8477 0.1447 0.9289 0.9513 0.7995 0.4362 0.4048 0.4952 0.1712
#> [33,] 0.7560 0.7466 0.0206 0.6387 0.4846 0.3328 0.5356 0.8741 0.8573 0.6718
#> [34,] 0.9493 0.9040 0.0080 0.9151 0.8828 0.8086 0.7180 0.6720 0.6447 0.6879
#> [35,] 0.5363 0.7649 0.1665 0.5250 0.5101 0.4219 0.4160 0.1906 0.0223 0.4219
#> [36,] 0.9349 0.9348 0.0289 1.0000 0.9308 0.8478 0.7605 0.7040 0.7539 0.7990
#> [37,] 0.9134 0.7080 0.0257 0.6318 0.6126 0.4638 0.2797 0.1721 0.1665 0.2561
#> [38,] 0.9503 1.0000 0.0136 0.9084 0.8283 0.7571 0.7262 0.6152 0.5680 0.5757
#> [39,] 0.3685 0.5765 0.0015 0.6190 0.4613 0.3615 0.4434 0.3864 0.3093 0.2138
#> [40,] 0.5116 0.4544 0.0554 0.4258 0.3869 0.3939 0.4661 0.3974 0.2194 0.1816
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.7337 0.6281 0.5725 0.0227 0.6119 0.5597 0.4965 0.5027 0.5772 0.5907
#> [2,] 0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> [3,] 0.5715 0.5242 0.2924 0.0278 0.1536 0.2003 0.2031 0.2207 0.1778 0.1353
#> [4,] 0.5516 0.3037 0.2338 0.0173 0.2382 0.3318 0.3821 0.1575 0.2228 0.1582
#> [5,] 0.4746 0.4902 0.4603 0.0311 0.4460 0.4196 0.2873 0.2296 0.0949 0.0095
#> [6,] 0.2370 0.1339 0.1583 0.0489 0.3151 0.1968 0.2054 0.1272 0.1129 0.1946
#> [7,] 0.5501 0.4129 0.5499 0.0449 0.5018 0.3132 0.2802 0.2351 0.2298 0.1155
#> [8,] 0.1772 0.1742 0.3326 0.0076 0.4021 0.3009 0.2075 0.1206 0.0255 0.0298
#> [9,] 0.2373 0.2843 0.2241 0.0441 0.2715 0.3363 0.2546 0.1867 0.2160 0.1278
#> [10,] 0.4516 0.3379 0.3215 0.1021 0.2178 0.1674 0.2634 0.2980 0.2037 0.1155
#> [11,] 0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> [12,] 0.1017 0.1438 0.1986 0.0898 0.2039 0.2778 0.2879 0.1331 0.1140 0.1310
#> [13,] 0.8459 0.7073 0.6697 0.0494 0.6326 0.5102 0.4161 0.2816 0.1705 0.1421
#> [14,] 0.4234 0.4372 0.4277 0.0618 0.4433 0.3700 0.3324 0.2564 0.2527 0.2137
#> [15,] 0.4041 0.5031 0.6475 0.0190 0.5493 0.3548 0.2028 0.1882 0.0845 0.1315
#> [16,] 0.2909 0.2311 0.3168 0.0793 0.3554 0.3741 0.4443 0.3261 0.1963 0.0864
#> [17,] 0.1915 0.3930 0.4288 0.0319 0.2546 0.1151 0.2196 0.1879 0.1437 0.2146
#> [18,] 0.1598 0.2161 0.5178 0.0456 0.4782 0.2344 0.3599 0.2785 0.1807 0.0352
#> [19,] 0.4681 0.0979 0.1582 0.0569 0.0751 0.3321 0.3745 0.2666 0.1078 0.1418
#> [20,] 0.0379 0.0461 0.1694 0.0460 0.2169 0.1677 0.0644 0.0159 0.0778 0.0653
#> [21,] 0.1602 0.3958 0.6117 0.0257 0.5196 0.2321 0.4370 0.3797 0.4322 0.4892
#> [22,] 0.2541 0.2255 0.1598 0.0239 0.1485 0.0845 0.0569 0.0855 0.1262 0.1153
#> [23,] 0.0351 0.0844 0.0436 0.0547 0.1130 0.2045 0.1937 0.0834 0.1502 0.1675
#> [24,] 0.6692 0.6097 0.4943 0.0207 0.2744 0.0510 0.2834 0.2825 0.4256 0.2641
#> [25,] 0.4118 0.3641 0.4572 0.0813 0.4367 0.2964 0.4312 0.4155 0.1824 0.1487
#> [26,] 0.1388 0.1048 0.1681 0.0432 0.1910 0.1174 0.0933 0.0856 0.0951 0.0986
#> [27,] 0.0521 0.0618 0.1416 0.0078 0.1460 0.0846 0.1055 0.1639 0.1916 0.2085
#> [28,] 0.8327 0.9480 0.6721 0.1203 0.4436 0.5163 0.3809 0.1557 0.1449 0.2662
#> [29,] 0.8420 0.9136 0.7713 0.1234 0.4882 0.3724 0.4469 0.4586 0.4491 0.5616
#> [30,] 0.4072 0.3170 0.2863 0.0113 0.2634 0.0541 0.1874 0.3459 0.4646 0.4366
#> [31,] 0.1336 0.3831 0.4611 0.0581 0.4330 0.2556 0.1466 0.3489 0.2659 0.0944
#> [32,] 0.3652 0.3763 0.2841 0.1644 0.0427 0.5331 0.6952 0.4288 0.3063 0.5835
#> [33,] 0.3446 0.3150 0.2702 0.0505 0.2598 0.2742 0.3594 0.4382 0.2460 0.0758
#> [34,] 0.6241 0.4936 0.4144 0.0554 0.4240 0.4546 0.4392 0.4323 0.4921 0.4710
#> [35,] 0.5496 0.2483 0.2034 0.1496 0.2729 0.2837 0.4463 0.3178 0.0807 0.1192
#> [36,] 0.7673 0.5955 0.4731 0.0713 0.4840 0.4340 0.3954 0.4837 0.5379 0.4485
#> [37,] 0.2735 0.3209 0.2724 0.0062 0.1880 0.1552 0.2522 0.2121 0.1801 0.1473
#> [38,] 0.5324 0.3672 0.1669 0.0076 0.0866 0.0646 0.1891 0.2683 0.2887 0.2341
#> [39,] 0.1112 0.1386 0.1523 0.0450 0.0996 0.1644 0.1902 0.1313 0.1776 0.2000
#> [40,] 0.1023 0.2108 0.3253 0.0783 0.3697 0.2912 0.3010 0.2563 0.1927 0.2062
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.4803 0.3877 0.2779 0.1427 0.0456 0.0424 0.0271 0.0200 0.0070 0.0070
#> [2,] 0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> [3,] 0.1373 0.0749 0.0472 0.0325 0.0412 0.0179 0.0045 0.0084 0.0010 0.0018
#> [4,] 0.1433 0.1634 0.1133 0.0567 0.0476 0.0133 0.0170 0.0035 0.0052 0.0083
#> [5,] 0.0527 0.0383 0.0107 0.0108 0.0085 0.0077 0.0109 0.0062 0.0028 0.0040
#> [6,] 0.2195 0.1930 0.1498 0.0773 0.0839 0.0196 0.0122 0.0130 0.0073 0.0077
#> [7,] 0.0724 0.0621 0.0318 0.0450 0.0597 0.0167 0.0078 0.0083 0.0057 0.0174
#> [8,] 0.0691 0.0781 0.0777 0.0369 0.0251 0.0057 0.0091 0.0134 0.0097 0.0042
#> [9,] 0.0768 0.1070 0.0946 0.0636 0.0630 0.0227 0.0128 0.0173 0.0135 0.0114
#> [10,] 0.0919 0.0882 0.0228 0.0380 0.1397 0.0142 0.0137 0.0120 0.0042 0.0238
#> [11,] 0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> [12,] 0.1433 0.0624 0.0100 0.0098 0.1267 0.0131 0.0152 0.0255 0.0071 0.0263
#> [13,] 0.0971 0.0879 0.0863 0.0355 0.0253 0.0233 0.0252 0.0043 0.0048 0.0076
#> [14,] 0.1789 0.1010 0.0528 0.0453 0.1215 0.0118 0.0009 0.0142 0.0179 0.0079
#> [15,] 0.1590 0.0562 0.0617 0.0343 0.0319 0.0370 0.0261 0.0157 0.0074 0.0271
#> [16,] 0.1688 0.1991 0.1217 0.0628 0.1043 0.0323 0.0253 0.0214 0.0262 0.0177
#> [17,] 0.2360 0.1125 0.0254 0.0285 0.1158 0.0178 0.0052 0.0081 0.0120 0.0045
#> [18,] 0.0473 0.0322 0.0408 0.0163 0.0067 0.0088 0.0121 0.0067 0.0032 0.0109
#> [19,] 0.1687 0.0738 0.0634 0.0144 0.0330 0.0226 0.0061 0.0162 0.0146 0.0093
#> [20,] 0.0210 0.0509 0.0387 0.0262 0.0752 0.0101 0.0161 0.0029 0.0078 0.0114
#> [21,] 0.1901 0.0940 0.1364 0.0906 0.0441 0.0144 0.0329 0.0141 0.0019 0.0067
#> [22,] 0.0570 0.0426 0.0425 0.0235 0.0807 0.0006 0.0188 0.0127 0.0081 0.0067
#> [23,] 0.1058 0.1111 0.0849 0.0596 0.0993 0.0201 0.0071 0.0104 0.0062 0.0026
#> [24,] 0.1386 0.1051 0.1343 0.0383 0.0954 0.0324 0.0232 0.0027 0.0065 0.0159
#> [25,] 0.0138 0.1164 0.2052 0.1069 0.0165 0.0199 0.0208 0.0176 0.0197 0.0210
#> [26,] 0.0956 0.0426 0.0407 0.0106 0.0951 0.0179 0.0056 0.0236 0.0114 0.0136
#> [27,] 0.2335 0.1964 0.1300 0.0633 0.0721 0.0183 0.0137 0.0150 0.0076 0.0032
#> [28,] 0.1806 0.1699 0.2559 0.1129 0.0403 0.0201 0.0480 0.0234 0.0175 0.0352
#> [29,] 0.4305 0.0945 0.0794 0.0274 0.1276 0.0154 0.0140 0.0455 0.0213 0.0082
#> [30,] 0.2581 0.1319 0.0505 0.0112 0.0497 0.0059 0.0041 0.0056 0.0104 0.0079
#> [31,] 0.1370 0.1344 0.0416 0.0719 0.0278 0.0637 0.0210 0.0204 0.0216 0.0135
#> [32,] 0.5692 0.2630 0.1196 0.0983 0.1693 0.0374 0.0291 0.0156 0.0197 0.0135
#> [33,] 0.0187 0.0797 0.0748 0.0367 0.0657 0.0155 0.0300 0.0112 0.0112 0.0102
#> [34,] 0.3196 0.2241 0.1806 0.0990 0.0883 0.0251 0.0129 0.0095 0.0126 0.0069
#> [35,] 0.2134 0.3241 0.2945 0.1474 0.1443 0.0211 0.0361 0.0444 0.0230 0.0290
#> [36,] 0.2674 0.1541 0.1359 0.0941 0.1075 0.0261 0.0079 0.0164 0.0120 0.0113
#> [37,] 0.0681 0.1091 0.0919 0.0397 0.0130 0.0093 0.0076 0.0065 0.0072 0.0108
#> [38,] 0.1668 0.1015 0.1195 0.0704 0.0211 0.0167 0.0107 0.0091 0.0016 0.0084
#> [39,] 0.0765 0.0727 0.0749 0.0449 0.0711 0.0134 0.0174 0.0117 0.0023 0.0047
#> [40,] 0.1751 0.0841 0.1035 0.0641 0.0620 0.0153 0.0081 0.0191 0.0182 0.0160
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0086 0.0089 0.0074 0.0042 0.0055 0.0665 0.0021 0.0939 0.0972 0.2535
#> [2,] 0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#> [3,] 0.0068 0.0039 0.0120 0.0132 0.0070 0.0757 0.0088 0.1026 0.1138 0.0794
#> [4,] 0.0078 0.0075 0.0105 0.0160 0.0095 0.0816 0.0011 0.0993 0.0315 0.0736
#> [5,] 0.0075 0.0039 0.0053 0.0013 0.0052 0.0767 0.0023 0.0771 0.0640 0.0726
#> [6,] 0.0075 0.0060 0.0080 0.0019 0.0053 0.1009 0.0019 0.1627 0.2071 0.2696
#> [7,] 0.0188 0.0054 0.0114 0.0196 0.0147 0.0355 0.0062 0.0531 0.0343 0.1052
#> [8,] 0.0058 0.0072 0.0041 0.0045 0.0047 0.0629 0.0054 0.0747 0.0578 0.1357
#> [9,] 0.0062 0.0157 0.0088 0.0036 0.0053 0.0921 0.0030 0.1368 0.1078 0.1552
#> [10,] 0.0129 0.0084 0.0218 0.0321 0.0154 0.1493 0.0053 0.1487 0.0771 0.1171
#> [11,] 0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> [12,] 0.0079 0.0111 0.0107 0.0068 0.0097 0.1515 0.0067 0.2134 0.2613 0.2832
#> [13,] 0.0124 0.0105 0.0054 0.0032 0.0073 0.0806 0.0063 0.0701 0.0738 0.0117
#> [14,] 0.0060 0.0131 0.0089 0.0084 0.0113 0.1524 0.0049 0.1543 0.0391 0.0610
#> [15,] 0.0203 0.0089 0.0095 0.0095 0.0021 0.0571 0.0053 0.1004 0.0668 0.0691
#> [16,] 0.0037 0.0068 0.0121 0.0077 0.0078 0.0783 0.0066 0.1417 0.1176 0.0453
#> [17,] 0.0121 0.0097 0.0085 0.0047 0.0048 0.0922 0.0053 0.1027 0.0613 0.1465
#> [18,] 0.0164 0.0151 0.0070 0.0085 0.0117 0.0890 0.0056 0.1798 0.1741 0.1598
#> [19,] 0.0112 0.0094 0.0054 0.0019 0.0066 0.0513 0.0023 0.0897 0.0713 0.0569
#> [20,] 0.0083 0.0058 0.0003 0.0023 0.0026 0.0887 0.0027 0.1015 0.0494 0.0472
#> [21,] 0.0099 0.0042 0.0057 0.0051 0.0033 0.1027 0.0058 0.1287 0.1850 0.2647
#> [22,] 0.0043 0.0065 0.0049 0.0054 0.0073 0.1529 0.0054 0.1154 0.0608 0.1317
#> [23,] 0.0025 0.0061 0.0038 0.0101 0.0078 0.1515 0.0006 0.1674 0.1513 0.1723
#> [24,] 0.0072 0.0167 0.0180 0.0084 0.0090 0.0986 0.0032 0.1539 0.1601 0.3109
#> [25,] 0.0141 0.0049 0.0027 0.0162 0.0059 0.0277 0.0021 0.0569 0.2057 0.3887
#> [26,] 0.0117 0.0060 0.0058 0.0031 0.0072 0.0752 0.0045 0.0414 0.0259 0.0692
#> [27,] 0.0037 0.0071 0.0040 0.0009 0.0015 0.1341 0.0085 0.1626 0.1902 0.2610
#> [28,] 0.0158 0.0326 0.0201 0.0168 0.0245 0.1227 0.0154 0.2495 0.4566 0.6587
#> [29,] 0.0124 0.0167 0.0103 0.0205 0.0178 0.1731 0.0187 0.1948 0.4262 0.6828
#> [30,] 0.0014 0.0054 0.0015 0.0006 0.0081 0.0998 0.0043 0.1326 0.1117 0.2984
#> [31,] 0.0055 0.0073 0.0080 0.0105 0.0059 0.0678 0.0105 0.1664 0.1490 0.0974
#> [32,] 0.0127 0.0138 0.0133 0.0131 0.0154 0.0844 0.0218 0.0715 0.0947 0.1583
#> [33,] 0.0026 0.0097 0.0098 0.0043 0.0071 0.0795 0.0108 0.0970 0.0872 0.0743
#> [34,] 0.0039 0.0068 0.0060 0.0045 0.0002 0.1278 0.0029 0.1674 0.1373 0.2922
#> [35,] 0.0141 0.0161 0.0177 0.0194 0.0207 0.2770 0.0057 0.2555 0.1712 0.0466
#> [36,] 0.0021 0.0097 0.0072 0.0060 0.0017 0.1019 0.0036 0.1606 0.2119 0.3061
#> [37,] 0.0051 0.0102 0.0041 0.0055 0.0050 0.0612 0.0087 0.0895 0.1107 0.0973
#> [38,] 0.0064 0.0026 0.0029 0.0037 0.0070 0.1058 0.0041 0.1023 0.0440 0.0931
#> [39,] 0.0049 0.0031 0.0024 0.0039 0.0051 0.1563 0.0015 0.1518 0.1206 0.1666
#> [40,] 0.0290 0.0090 0.0242 0.0224 0.0190 0.0871 0.0096 0.1201 0.2707 0.1206
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.4516999 0.3131652 0.04337083 0.7648117 0.7330693 0.6966712 0.3305838
#> [2,] 0.4798064 0.4142676 0.08635448 0.7466049 0.7373096 0.7138680 0.3563658
#> [3,] 0.5994270 0.4527720 0.05995449 0.8383726 0.9007520 0.8266823 0.3743546
#> [4,] 0.5040742 0.4210148 0.09637828 0.7440171 0.7599380 0.6956448 0.3647396
#> [5,] 0.5705844 0.4966881 0.09433251 0.8037314 0.8601795 0.7953127 0.4122523
#> [6,] 0.5247463 0.3473493 0.04320931 0.8451437 0.8880546 0.8249924 0.2332974
#> [7,] 0.5478491 0.4412325 0.08189311 0.7995747 0.8359782 0.7750955 0.3934454
#> [8,] 0.6178176 0.4631139 0.09774057 0.8430678 0.8924935 0.8274252 0.4206866
#> [9,] 0.6364360 0.4151414 0.06013068 0.8779385 0.9220492 0.8625673 0.3201498
#> [10,] 0.5164602 0.3738342 0.04911964 0.8120512 0.8610977 0.7931314 0.2351522
#> [11,] 0.4035291 0.2801260 0.04260397 0.7516961 0.6632820 0.6746381 0.2588654
#> [12,] 0.5616515 0.3950456 0.05952870 0.8360064 0.8927682 0.8213694 0.2934474
#> [13,] 0.4510091 0.4198620 0.09379782 0.7130119 0.6896751 0.6782046 0.3621130
#> [14,] 0.5335714 0.3856831 0.05105665 0.8264014 0.8613454 0.8026230 0.2645791
#> [15,] 0.5650862 0.4181288 0.07462622 0.8347348 0.8605568 0.8027876 0.3275550
#> [16,] 0.6078372 0.4135844 0.06214286 0.8482375 0.8987856 0.8272200 0.3113346
#> [17,] 0.5406803 0.4297046 0.07732283 0.8142646 0.8670783 0.8048100 0.3332163
#> [18,] 0.5678148 0.4126877 0.06733593 0.8326337 0.8688672 0.8136413 0.3556350
#> [19,] 0.6295806 0.4459700 0.07813530 0.8511088 0.9069745 0.8297994 0.3733580
#> [20,] 0.6555512 0.4647743 0.09214329 0.8691271 0.9257451 0.8637890 0.3553249
#> [21,] 0.5378510 0.3204175 0.04174460 0.8415541 0.8564198 0.8136537 0.3007870
#> [22,] 0.6461699 0.4647914 0.06450499 0.8760015 0.9381524 0.8740404 0.3194350
#> [23,] 0.6019230 0.3889593 0.07359728 0.8538214 0.9011114 0.8379266 0.2677593
#> [24,] 0.5336349 0.4047226 0.06569570 0.7750200 0.8041382 0.7526800 0.3542013
#> [25,] 0.4494623 0.3277822 0.04516377 0.7529494 0.7740777 0.7529390 0.2588347
#> [26,] 0.6198998 0.5030135 0.10415042 0.8250225 0.8858805 0.8179091 0.3883324
#> [27,] 0.6339842 0.4131153 0.07458899 0.8534831 0.9038697 0.8346368 0.3664721
#> [28,] 0.3591528 0.2636391 0.03982529 0.6979707 0.6467918 0.6321068 0.2325133
#> [29,] 0.3382302 0.2357499 0.02947313 0.7145778 0.6597948 0.6345336 0.2172411
#> [30,] 0.5604428 0.3751568 0.05099125 0.8324288 0.8753186 0.8147686 0.3449325
#> [31,] 0.5759354 0.3989509 0.06795732 0.8299588 0.8593837 0.7971846 0.2859557
#> [32,] 0.4865268 0.2865230 0.04134033 0.8083374 0.8361156 0.7524042 0.2563070
#> [33,] 0.5575416 0.4681882 0.08671683 0.7840271 0.8513517 0.7815217 0.4070606
#> [34,] 0.4913880 0.3422950 0.04474006 0.7852818 0.8011563 0.7457705 0.3517335
#> [35,] 0.4897844 0.3339148 0.06547187 0.7502342 0.7941689 0.7252917 0.3005859
#> [36,] 0.4594344 0.3400913 0.04454216 0.7661739 0.7644056 0.7136831 0.3385271
#> [37,] 0.6373875 0.4736966 0.09841204 0.8433877 0.9002694 0.8321683 0.4266839
#> [38,] 0.5976963 0.4356099 0.09116510 0.8192138 0.8655078 0.7919342 0.3940492
#> [39,] 0.5802486 0.3958672 0.08597328 0.8318829 0.8728430 0.8158237 0.2743153
#> [40,] 0.4590853 0.3987363 0.09985837 0.7398441 0.7573899 0.7318793 0.3163556
#> [,8] [,9] [,10]
#> [1,] 0.5894156 0.5751499 0.5830133
#> [2,] 0.6109038 0.5678337 0.6339441
#> [3,] 0.7022286 0.7281647 0.7563184
#> [4,] 0.5936817 0.5822927 0.6351548
#> [5,] 0.6882271 0.7031085 0.7452432
#> [6,] 0.5935686 0.6498519 0.7559393
#> [7,] 0.6632306 0.6609468 0.7291255
#> [8,] 0.6835282 0.7405864 0.7361707
#> [9,] 0.6911576 0.7551748 0.7856717
#> [10,] 0.5865823 0.6212521 0.7543247
#> [11,] 0.5626006 0.4886609 0.5927446
#> [12,] 0.6252226 0.7129782 0.7525638
#> [13,] 0.5839539 0.5139158 0.6280638
#> [14,] 0.6130330 0.6349611 0.7419857
#> [15,] 0.6366713 0.6453013 0.7494065
#> [16,] 0.6904890 0.7266532 0.7692677
#> [17,] 0.6369272 0.6838982 0.7418657
#> [18,] 0.6216471 0.6933646 0.7196489
#> [19,] 0.6874930 0.7565154 0.7496588
#> [20,] 0.7023001 0.7585271 0.8036182
#> [21,] 0.6344490 0.6646109 0.7138129
#> [22,] 0.7135365 0.7624894 0.8143567
#> [23,] 0.6456535 0.6813178 0.7661180
#> [24,] 0.6359359 0.6270340 0.6945197
#> [25,] 0.5585251 0.6079750 0.6818038
#> [26,] 0.6672404 0.7428574 0.7485718
#> [27,] 0.6835133 0.7657883 0.7560847
#> [28,] 0.4851911 0.4098689 0.6043229
#> [29,] 0.4954540 0.4016557 0.6000475
#> [30,] 0.6521191 0.7043003 0.7398660
#> [31,] 0.6390999 0.6610929 0.7401742
#> [32,] 0.5919426 0.6005068 0.6428334
#> [33,] 0.6692871 0.6896025 0.7070741
#> [34,] 0.6219773 0.6384734 0.6330789
#> [35,] 0.5556934 0.6457162 0.6096886
#> [36,] 0.5934714 0.5939588 0.6210095
#> [37,] 0.7137305 0.7625122 0.7570280
#> [38,] 0.6769666 0.6861353 0.7037818
#> [39,] 0.6315069 0.6454196 0.7563480
#> [40,] 0.5441911 0.5835181 0.6407920
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5636439 0.4363561
#> [2,] 0.5608998 0.4391002
#> [3,] 0.5670578 0.4329422
#> [4,] 0.5608238 0.4391762
#> [5,] 0.5635216 0.4364784
#> [6,] 0.5701276 0.4298724
#> [7,] 0.5649220 0.4350780
#> [8,] 0.5666380 0.4333620
#> [9,] 0.5704284 0.4295716
#> [10,] 0.5677676 0.4322324
#> [11,] 0.5636076 0.4363924
#> [12,] 0.5680345 0.4319655
#> [13,] 0.5590917 0.4409083
#> [14,] 0.5678655 0.4321345
#> [15,] 0.5677002 0.4322998
#> [16,] 0.5685920 0.4314080
#> [17,] 0.5657932 0.4342068
#> [18,] 0.5671888 0.4328112
#> [19,] 0.5675688 0.4324312
#> [20,] 0.5690151 0.4309849
#> [21,] 0.5702846 0.4297154
#> [22,] 0.5693107 0.4306893
#> [23,] 0.5699022 0.4300978
#> [24,] 0.5643691 0.4356309
#> [25,] 0.5645583 0.4354417
#> [26,] 0.5643475 0.4356525
#> [27,] 0.5688995 0.4311005
#> [28,] 0.5626417 0.4373583
#> [29,] 0.5640212 0.4359788
#> [30,] 0.5687579 0.4312421
#> [31,] 0.5675953 0.4324047
#> [32,] 0.5682322 0.4317678
#> [33,] 0.5630795 0.4369205
#> [34,] 0.5651674 0.4348326
#> [35,] 0.5630813 0.4369187
#> [36,] 0.5638328 0.4361672
#> [37,] 0.5667332 0.4332668
#> [38,] 0.5659596 0.4340404
#> [39,] 0.5684812 0.4315188
#> [40,] 0.5609979 0.4390021
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.19380466 -0.78536310 -3.093629 1.1792433 1.0102511 0.8314963
#> [2,] -0.08081836 -0.34635069 -2.358982 1.0805860 1.0320319 0.9142447
#> [3,] 0.40307815 -0.18947677 -2.752342 1.6461688 2.2056081 1.5622942
#> [4,] 0.01629705 -0.31860900 -2.238130 1.0669535 1.1523395 0.8266437
#> [5,] 0.28423597 -0.01324797 -2.261846 1.4097810 1.8167819 1.3572519
#> [6,] 0.09906631 -0.63071132 -3.097529 1.6970092 2.0710217 1.5505447
#> [7,] 0.19198394 -0.23616158 -2.416899 1.3836382 1.6286031 1.2373101
#> [8,] 0.48029519 -0.14781274 -2.222585 1.6812336 2.1164678 1.5674879
#> [9,] 0.55992851 -0.34275095 -2.749221 1.9730518 2.4705201 1.8367786
#> [10,] 0.06586442 -0.51580265 -2.963129 1.4633937 1.8244371 1.3439053
#> [11,] -0.39078188 -0.94383662 -3.112270 1.1076787 0.6779547 0.7292384
#> [12,] 0.24786730 -0.42615193 -2.759923 1.6288085 2.1193345 1.5256530
#> [13,] -0.19659449 -0.32334003 -2.268121 0.9100572 0.7986010 0.7455329
#> [14,] 0.13448782 -0.46549503 -2.922413 1.5603346 1.8265098 1.4027695
#> [15,] 0.26183055 -0.33045962 -2.517706 1.6195625 1.8199222 1.4038088
#> [16,] 0.43822995 -0.34916705 -2.714162 1.7208435 2.1838036 1.5660514
#> [17,] 0.16308182 -0.28305664 -2.479290 1.4779623 1.8753690 1.4166329
#> [18,] 0.27294105 -0.35286548 -2.628351 1.6044091 1.8909797 1.4738462
#> [19,] 0.53041803 -0.21696709 -2.467956 1.7433245 2.2772404 1.5842064
#> [20,] 0.64353094 -0.14113672 -2.287742 1.8932626 2.5230955 1.8471232
#> [21,] 0.15169420 -0.75185380 -3.133544 1.6698370 1.7858671 1.4739281
#> [22,] 0.60224544 -0.14106785 -2.674333 1.9550983 2.7192393 1.9371658
#> [23,] 0.41348410 -0.45168874 -2.532701 1.7648933 2.2096349 1.6428811
#> [24,] 0.13474319 -0.38582574 -2.654769 1.2368771 1.4123621 1.1129573
#> [25,] -0.20284351 -0.71823311 -3.051245 1.1144048 1.2314813 1.1143491
#> [26,] 0.48912308 0.01205422 -2.151936 1.5507533 2.0493356 1.5022454
#> [27,] 0.54934741 -0.35110174 -2.518245 1.7621852 2.2409806 1.6188525
#> [28,] -0.57904326 -1.02713936 -3.182613 0.8376529 0.6049670 0.5412657
#> [29,] -0.67119115 -1.17612358 -3.494360 0.9177224 0.6623801 0.5517160
#> [30,] 0.24295937 -0.51015652 -2.923764 1.6029394 1.9488263 1.4812982
#> [31,] 0.30610973 -0.40983840 -2.618499 1.5853353 1.8101807 1.3687899
#> [32,] -0.05390579 -0.91233124 -3.143698 1.4392432 1.6296053 1.1114761
#> [33,] 0.23119077 -0.12741949 -2.354398 1.2892906 1.7452420 1.2745565
#> [34,] -0.03445147 -0.65308340 -3.061114 1.2967161 1.3935371 1.0761804
#> [35,] -0.04086795 -0.69053151 -2.658421 1.0998617 1.3502402 0.9708641
#> [36,] -0.16261985 -0.66288748 -3.065754 1.1868317 1.1769867 0.9133398
#> [37,] 0.56404288 -0.10531062 -2.214994 1.6836537 2.2002213 1.6010729
#> [38,] 0.39587542 -0.25899876 -2.299491 1.5110301 1.8618103 1.3366238
#> [39,] 0.32379415 -0.42271543 -2.363823 1.5990306 1.9263331 1.4883049
#> [40,] -0.16402575 -0.41073342 -2.198799 1.0451584 1.1384225 1.0041784
#> [,7] [,8] [,9] [,10]
#> [1,] -0.7055456 0.36154986 0.30289436 0.3351557
#> [2,] -0.5911729 0.45111299 0.27301804 0.5491747
#> [3,] -0.5135804 0.85793304 0.98533064 1.1326000
#> [4,] -0.5548511 0.37920646 0.33219236 0.5543955
#> [5,] -0.3546622 0.79184366 0.86214425 1.0734013
#> [6,] -1.1897847 0.37873744 0.61838849 1.1305442
#> [7,] -0.4328526 0.67772421 0.66751654 0.9901900
#> [8,] -0.3199554 0.77003399 1.04901874 1.0261599
#> [9,] -0.7530835 0.80553669 1.12640452 1.2990300
#> [10,] -1.1794437 0.34985454 0.49486626 1.1218124
#> [11,] -1.0518738 0.25172311 -0.04536427 0.3753232
#> [12,] -0.8786994 0.51177556 0.90989262 1.1123330
#> [13,] -0.5662046 0.33902577 0.05567751 0.5239194
#> [14,] -1.0223029 0.46007930 0.55355983 1.0563147
#> [15,] -0.7192643 0.56094572 0.59844856 1.0954496
#> [16,] -0.7938875 0.80240650 0.97770804 1.2041808
#> [17,] -0.6936738 0.56205219 0.77174471 1.0556882
#> [18,] -0.5943604 0.49654540 0.81589660 0.9427209
#> [19,] -0.5178378 0.78842490 1.13366911 1.0967932
#> [20,] -0.5957139 0.85827508 1.14462146 1.4090635
#> [21,] -0.8435532 0.55135099 0.68391025 0.9139752
#> [22,] -0.7563697 0.91262254 1.16637659 1.4785711
#> [23,] -1.0060211 0.59998793 0.75983437 1.1865197
#> [24,] -0.6006225 0.55776772 0.51951364 0.8213353
#> [25,] -1.0520340 0.23517858 0.43880797 0.7620739
#> [26,] -0.4543271 0.69573008 1.06087312 1.0910095
#> [27,] -0.5473818 0.76996498 1.18468010 1.1313326
#> [28,] -1.1941737 -0.05925283 -0.36450738 0.4235102
#> [29,] -1.2818170 -0.01818432 -0.39857115 0.4056629
#> [30,] -0.6413896 0.62836693 0.86786058 1.0452720
#> [31,] -0.9151083 0.57145980 0.66816855 1.0468743
#> [32,] -1.0652525 0.37200173 0.40757742 0.5876833
#> [33,] -0.3761300 0.70496239 0.79826170 0.8812156
#> [34,] -0.6114282 0.49794946 0.56874429 0.5454483
#> [35,] -0.8445094 0.22370201 0.60026192 0.4460036
#> [36,] -0.6698648 0.37833461 0.38035540 0.4938354
#> [37,] -0.2953938 0.91357157 1.16650206 1.1364538
#> [38,] -0.4303229 0.73986611 0.78211283 0.8653722
#> [39,] -0.9728374 0.53868692 0.59896552 1.1327605
#> [40,] -0.7705709 0.17722701 0.33723229 0.5788033
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.1716784 -0.08428575
#> [2,] 0.1754585 -0.06935625
#> [3,] 0.2106032 -0.05925373
#> [4,] 0.1796990 -0.06480722
#> [5,] 0.2053346 -0.05013207
#> [6,] 0.2039713 -0.07840042
#> [7,] 0.2010916 -0.06007063
#> [8,] 0.2136331 -0.05451398
#> [9,] 0.2176558 -0.06594347
#> [10,] 0.1977541 -0.07499461
#> [11,] 0.1608997 -0.09491665
#> [12,] 0.2066813 -0.06715497
#> [13,] 0.1678024 -0.06967411
#> [14,] 0.1994304 -0.07371723
#> [15,] 0.2056044 -0.06686960
#> [16,] 0.2103911 -0.06571758
#> [17,] 0.2029494 -0.06175830
#> [18,] 0.2047298 -0.06566073
#> [19,] 0.2138747 -0.05806399
#> [20,] 0.2213622 -0.05647186
#> [21,] 0.2007969 -0.08221532
#> [22,] 0.2201413 -0.05889799
#> [23,] 0.2094642 -0.07198807
#> [24,] 0.1896810 -0.06923226
#> [25,] 0.1779202 -0.08176269
#> [26,] 0.2099304 -0.04889497
#> [27,] 0.2146915 -0.06267116
#> [28,] 0.1542053 -0.09768488
#> [29,] 0.1559087 -0.10158953
#> [30,] 0.2061765 -0.07060890
#> [31,] 0.2016950 -0.07035189
#> [32,] 0.1874785 -0.08716389
#> [33,] 0.1984980 -0.05517168
#> [34,] 0.1849530 -0.07720776
#> [35,] 0.1773117 -0.07636508
#> [36,] 0.1781621 -0.07856995
#> [37,] 0.2162817 -0.05225342
#> [38,] 0.2041017 -0.06128347
#> [39,] 0.2044819 -0.07117531
#> [40,] 0.1762280 -0.06898499
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.4363561 -0.4363561
#> [2,] -0.5608998 0.5608998
#> [3,] -0.5670578 0.5670578
#> [4,] -0.5608238 0.5608238
#> [5,] -0.5635216 0.5635216
#> [6,] -0.5701276 0.5701276
#> [7,] -0.5649220 0.5649220
#> [8,] 0.4333620 -0.4333620
#> [9,] 0.4295716 -0.4295716
#> [10,] 0.4322324 -0.4322324
#> [11,] -0.5636076 0.5636076
#> [12,] 0.4319655 -0.4319655
#> [13,] -0.5590917 0.5590917
#> [14,] 0.4321345 -0.4321345
#> [15,] -0.5677002 0.5677002
#> [16,] 0.4314080 -0.4314080
#> [17,] -0.5657932 0.5657932
#> [18,] -0.5671888 0.5671888
#> [19,] -0.5675688 0.5675688
#> [20,] -0.5690151 0.5690151
#> [21,] 0.4297154 -0.4297154
#> [22,] -0.5693107 0.5693107
#> [23,] 0.4300978 -0.4300978
#> [24,] -0.5643691 0.5643691
#> [25,] 0.4354417 -0.4354417
#> [26,] -0.5643475 0.5643475
#> [27,] 0.4311005 -0.4311005
#> [28,] 0.4373583 -0.4373583
#> [29,] 0.4359788 -0.4359788
#> [30,] 0.4312421 -0.4312421
#> [31,] -0.5675953 0.5675953
#> [32,] 0.4317678 -0.4317678
#> [33,] -0.5630795 0.5630795
#> [34,] 0.4348326 -0.4348326
#> [35,] 0.4369187 -0.4369187
#> [36,] 0.4361672 -0.4361672
#> [37,] -0.5667332 0.5667332
#> [38,] -0.5659596 0.5659596
#> [39,] 0.4315188 -0.4315188
#> [40,] 0.4390021 -0.4390021
#>
#> $L
#> [1] 0.6955466 0.6843098 0.7597258 0.7543715 0.7329248 0.7007812
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5362319