Classification Neural Network Learner
Source:R/learner_deepnet_classif_nnTrain.R
mlr_learners_classif.nnTrain.RdCalls deepnet::nn.train() from deepnet.
Parameters
| Id | Type | Default | Levels | Range |
| activationfun | character | sigm | sigm, linear, tanh | - |
| batchsize | integer | 100 | \([1, \infty)\) | |
| hidden | untyped | 10L | - | |
| hidden_dropout | numeric | 0 | \([0, 1]\) | |
| initB | untyped | - | - | |
| initW | untyped | - | - | |
| learningrate | numeric | 0.8 | \([0, \infty)\) | |
| learningrate_scale | numeric | 1 | \([0, \infty)\) | |
| max_number_of_layers | integer | - | \([1, \infty)\) | |
| momentum | numeric | 0.5 | \([0, \infty)\) | |
| numepochs | integer | 3 | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| visible_dropout | numeric | 0 | \([0, 1]\) |
References
Rong, Xiao (2022). “deepnet: Deep Learning Toolkit in R.” R package version 0.2.1. doi:10.32614/CRAN.package.deepnet , 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/chapters/chapter2/data_and_basic_modeling.html#sec-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 -> LearnerClassifNNTrain
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()
LearnerClassifNNTrain$new()
Creates a new instance of this R6 class.
Usage
LearnerClassifNNTrain$new()Examples
# Define the Learner
learner = lrn("classif.nnTrain")
print(learner)
#>
#> ── <LearnerClassifNNTrain> (classif.nnTrain): Training Neural Network by Backpro
#> • Model: -
#> • Parameters: output=softmax
#> • 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', predict_raw = 'FALSE'
# 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)
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
#> [1,] -0.038529444 0.081096834 0.063752094 0.004931271 -0.064245711
#> [2,] -0.044744452 0.078965351 0.013520687 -0.070404140 -0.002381393
#> [3,] 0.004134232 0.084811822 0.044320978 0.051726748 -0.091803460
#> [4,] 0.073028701 0.041429470 0.049807558 -0.073407161 0.037856690
#> [5,] 0.058459041 0.044964241 -0.008665798 0.048704126 0.084990862
#> [6,] 0.079847753 -0.001952393 0.090996764 0.037228706 0.061664245
#> [7,] -0.048959611 -0.081260918 -0.058122837 -0.021684623 0.018173002
#> [8,] -0.016125753 0.053572347 -0.038581476 0.035429281 0.061004144
#> [9,] 0.054651539 0.048021455 -0.079145523 -0.010231618 0.028722946
#> [10,] 0.094488227 -0.077572949 -0.019787467 -0.020332151 0.067380340
#> V14 V15 V16 V17 V18
#> [1,] 0.007933143 -0.09200116 -5.840094e-02 -0.053998762 0.04161256
#> [2,] 0.017448642 0.05619268 -1.389937e-02 -0.061450769 -0.04589793
#> [3,] 0.082372592 0.08088088 2.114222e-02 -0.068112353 0.09144275
#> [4,] -0.089364886 0.02401899 7.202613e-02 0.030925715 0.09781011
#> [5,] 0.036763577 -0.02033602 -7.829432e-02 0.031764079 -0.07642330
#> [6,] 0.046564921 -0.06423219 -7.298504e-02 -0.085676419 -0.04316033
#> [7,] 0.027810383 0.01262172 2.418358e-05 0.005620693 -0.04988405
#> [8,] 0.047491945 0.08895192 -1.605602e-02 0.095869995 -0.05956364
#> [9,] 0.066166906 0.02993368 -9.626722e-03 -0.024044970 0.05919721
#> [10,] 0.064419063 0.01564089 6.146911e-02 0.039288780 0.03007127
#> V19 V2 V20 V21 V22
#> [1,] -0.027557690 -0.03968976 0.057899888 -0.03271288 -0.07756666
#> [2,] 0.084085535 0.07347415 -0.024682922 -0.09142456 0.01618542
#> [3,] -0.010604493 0.06097885 -0.060433253 0.03918986 0.06489784
#> [4,] -0.096329127 0.04227973 -0.050129313 -0.02581599 0.08294994
#> [5,] -0.087185587 -0.05222614 -0.077418862 0.03917265 -0.03389564
#> [6,] 0.036209566 -0.05696410 0.062138206 -0.01824867 -0.04039646
#> [7,] 0.061723956 0.09136618 -0.055887192 0.03459606 0.01991498
#> [8,] -0.054786664 -0.03881512 -0.064346374 -0.07425066 0.03697382
#> [9,] -0.046932118 0.09045432 -0.020849703 0.06731632 -0.09026852
#> [10,] -0.009806512 0.05972142 0.003035544 0.09573227 -0.01535938
#> V23 V24 V25 V26 V27
#> [1,] 0.082378269 0.074913369 0.004754647 -0.03316974 0.04807945
#> [2,] -0.072337171 -0.009325425 0.094100099 0.09174974 0.03326214
#> [3,] -0.028046216 0.015984513 -0.096402477 0.03445595 -0.06250776
#> [4,] -0.046083649 -0.050257355 -0.086341827 0.03913736 -0.09161918
#> [5,] -0.040005249 -0.084471955 0.061421642 -0.09376924 -0.08108118
#> [6,] -0.090318588 -0.086055209 0.031718280 0.07769724 -0.05618698
#> [7,] 0.049911871 0.037827250 0.026094880 -0.07795883 -0.04608623
#> [8,] -0.004923361 -0.041510804 0.014963558 0.01314588 -0.05185718
#> [9,] 0.066450061 0.011237641 -0.005691838 -0.06015548 -0.07321316
#> [10,] -0.047194081 0.062633915 0.055981733 0.02537482 0.09599455
#> V28 V29 V3 V30 V31
#> [1,] 0.03982949 -0.013863759 -0.100224958 -0.042332158 -0.043093552
#> [2,] -0.02793318 0.012154124 -0.094311274 0.011676462 -0.003568300
#> [3,] 0.06060178 -0.073342494 0.006900544 0.079216677 0.076440834
#> [4,] 0.05330956 -0.042045981 -0.039606321 -0.073300745 -0.015131709
#> [5,] 0.06841483 0.012629654 0.066937654 -0.025448378 -0.066215312
#> [6,] 0.01881842 0.024946305 0.013688308 -0.035407092 -0.018566514
#> [7,] -0.03591462 0.009777451 0.082410461 -0.065645645 0.087971716
#> [8,] -0.06695762 0.058283692 -0.074887075 -0.097195174 0.016124230
#> [9,] 0.03560479 -0.063960564 -0.047035260 -0.015864709 -0.037746606
#> [10,] 0.03616799 -0.041912941 -0.076211917 -0.008755281 -0.004236148
#> V32 V33 V34 V35 V36
#> [1,] -0.026093969 0.04702718 0.05958690 0.006443495 0.09642279
#> [2,] 0.001681183 -0.03702842 -0.04500393 0.084362943 -0.09245922
#> [3,] -0.092438594 0.05488444 -0.02645731 -0.026982341 0.05399139
#> [4,] -0.096743375 0.05627342 0.06096088 -0.054527236 0.01586816
#> [5,] -0.009685883 0.03283141 -0.07258240 0.064564437 -0.06671554
#> [6,] -0.096033170 0.03906109 -0.06742453 0.087291185 -0.07174239
#> [7,] 0.032240706 -0.00174328 -0.06895214 0.081837052 -0.04712607
#> [8,] 0.013933571 0.02764283 0.03273263 0.022602556 0.04492316
#> [9,] -0.003113887 -0.08670618 -0.09076094 -0.077350348 0.04275462
#> [10,] 0.006264213 -0.02215598 -0.06210537 0.043260372 0.01543988
#> V37 V38 V39 V4 V40
#> [1,] 0.087809153 0.020119625 0.076706558 0.092129467 0.09890894
#> [2,] -0.053465003 -0.085596667 0.033400172 0.077677423 0.02979046
#> [3,] 0.036820015 -0.030395025 -0.058193009 -0.064543369 -0.09316501
#> [4,] -0.073235542 0.016105164 -0.046702967 0.042644052 -0.06317473
#> [5,] 0.027616046 -0.070607018 0.073238526 0.022610419 -0.02125118
#> [6,] -0.012537706 0.066135817 0.041751615 -0.042640148 -0.01294424
#> [7,] 0.092162622 -0.060277098 0.009514973 -0.041129544 0.08751740
#> [8,] -0.002572953 0.001372679 -0.035609650 -0.039404252 0.01585094
#> [9,] 0.073010142 0.096116311 -0.069133387 -0.021791833 -0.01671463
#> [10,] -0.040160421 0.044238735 0.045108736 -0.009041735 -0.05880182
#> V41 V42 V43 V44 V45
#> [1,] -0.02144860 0.013283679 -0.039661826 -0.026165524 0.021457506
#> [2,] 0.09904256 -0.030539020 0.005267003 -0.052043899 0.031317221
#> [3,] 0.02718896 0.007494723 -0.072637081 0.013356393 0.037156681
#> [4,] -0.01521409 -0.038182408 0.065411764 0.063612634 0.016574363
#> [5,] 0.05256788 -0.099659330 0.016269566 0.047208585 0.017028283
#> [6,] 0.09480738 0.001920611 -0.075717621 -0.035300616 -0.053359885
#> [7,] 0.04863878 0.074503963 -0.073677325 0.001649599 0.040321889
#> [8,] 0.07202948 -0.045908958 0.018460291 -0.025425190 -0.045360978
#> [9,] 0.08572629 -0.086054079 -0.076178301 -0.067590594 0.089497068
#> [10,] 0.02477560 -0.095837849 0.078486022 -0.085362411 -0.001243323
#> V46 V47 V48 V49 V5
#> [1,] 0.052484363 0.0401211563 -0.056131115 0.001795566 0.091694989
#> [2,] 0.032262094 0.0607319573 -0.002327699 0.073930701 0.087526504
#> [3,] -0.028815149 -0.0468523265 0.047626540 -0.055247402 -0.026560723
#> [4,] -0.033265993 -0.0344134679 0.009214665 -0.079896828 -0.055633153
#> [5,] 0.097020945 -0.0511311382 0.094999292 -0.065535024 0.055932932
#> [6,] 0.017337857 -0.0009936416 0.083717368 -0.063436866 0.063740237
#> [7,] 0.010557076 0.0809130614 0.036395540 -0.003425390 -0.052222913
#> [8,] -0.010118353 0.0317954347 0.028911996 -0.079852389 0.003029373
#> [9,] -0.034276658 -0.0483152330 0.095900820 0.003310915 0.048748042
#> [10,] 0.001923741 -0.0134291320 -0.011334024 -0.024071556 0.081963749
#> V50 V51 V52 V53 V54
#> [1,] 0.004249571 0.020386455 -0.0039600002 -0.09512885 -0.071850690
#> [2,] 0.048802781 0.078874608 -0.0839109542 0.02102372 -0.045693031
#> [3,] 0.053916966 0.012464415 0.0419588186 0.03729490 -0.039357159
#> [4,] 0.001713770 0.002847661 -0.0780143321 0.06508702 0.027760659
#> [5,] -0.090437352 0.077606289 -0.0206303065 0.02949935 -0.081097084
#> [6,] -0.054604413 -0.083824973 -0.0197691038 0.07956774 0.081215795
#> [7,] 0.064720949 -0.004679194 -0.0787507579 -0.07508239 0.002895822
#> [8,] 0.016458848 -0.084304555 -0.0886183625 -0.09063694 0.024275506
#> [9,] -0.029567922 -0.002580782 0.0003777451 0.09062517 0.057460512
#> [10,] 0.058624597 -0.014952895 -0.0859616851 0.02743047 -0.040542229
#> V55 V56 V57 V58 V59 V6
#> [1,] -0.09438156 0.02753110 -0.04925063 0.08232403 -0.011618745 0.087740327
#> [2,] 0.03923225 0.04149295 0.07593577 0.03861497 -0.032705711 -0.018265320
#> [3,] 0.01228726 0.03467447 -0.04178026 0.03898608 0.083552169 0.034875318
#> [4,] -0.08634498 0.06117577 0.01121611 -0.06547730 0.042252649 0.036079201
#> [5,] -0.03520298 0.03573212 0.03601534 -0.09187769 -0.016132266 -0.065221499
#> [6,] -0.09139184 -0.05430060 0.03543332 -0.04192354 0.094419770 0.014492498
#> [7,] -0.09104442 0.06204419 -0.02355728 -0.05990632 -0.007411822 -0.095824171
#> [8,] -0.08440449 -0.02153644 0.02248152 -0.05527930 -0.079569235 0.004282512
#> [9,] -0.07893468 -0.07303093 0.03705660 0.06473313 -0.017081769 0.052686878
#> [10,] 0.03227262 0.04588137 -0.06494173 -0.07514730 0.011649529 0.004277107
#> V60 V7 V8 V9
#> [1,] 0.07087544 0.01126693 -0.026989378 0.009430894
#> [2,] 0.09663184 0.01876657 0.076242461 0.089794424
#> [3,] 0.09067575 0.06588963 0.025570775 -0.048273305
#> [4,] 0.09270668 0.09799145 -0.081558993 -0.007096211
#> [5,] -0.07700669 0.09801420 0.005057407 -0.086674532
#> [6,] 0.00350318 0.06453225 0.047757216 -0.031946081
#> [7,] 0.08614965 0.04282379 0.088480111 0.023005492
#> [8,] 0.08133789 0.07736781 0.030088753 0.078630912
#> [9,] -0.06155481 0.04720649 -0.024019575 -0.059881657
#> [10,] 0.02269966 0.04730538 0.064623183 0.019479118
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.08395708 -0.02060661 0.07305853 0.006496593 -0.04499090 0.05734610
#> [2,] 0.05379063 -0.10609340 -0.10440477 0.037474909 -0.03939421 -0.06167551
#> [,7] [,8] [,9] [,10]
#> [1,] 0.007095651 0.08508695 0.07454072 0.01176804
#> [2,] 0.040109043 -0.10771714 0.01790608 -0.01504675
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 1.947804e-05 0.0001372673 0.0001466168 0.0001209256 9.756015e-05
#> [2,] -6.223852e-05 -0.0002863300 -0.0004577118 -0.0005742976 -5.713637e-04
#> [3,] -2.361068e-04 -0.0011996786 -0.0017353682 -0.0020186603 -1.936463e-03
#> [4,] 1.101329e-04 0.0006036045 0.0008179531 0.0008990979 8.464979e-04
#> [5,] 8.166714e-05 0.0004585851 0.0006006100 0.0006383506 5.865523e-04
#> [6,] -1.304137e-04 -0.0006464538 -0.0009610771 -0.0011435177 -1.111079e-03
#> [7,] 1.255822e-04 0.0006929472 0.0009305934 0.0010150840 9.478508e-04
#> [8,] -2.817801e-04 -0.0014409346 -0.0020645144 -0.0023836877 -2.274180e-03
#> [9,] -2.772849e-05 -0.0001132111 -0.0002019758 -0.0002716469 -2.754749e-04
#> [10,] 4.169662e-05 0.0002571299 0.0003121535 0.0003051870 2.709566e-04
#> V14 V15 V16 V17 V18
#> [1,] 8.180047e-05 9.348832e-05 0.0001210921 1.321317e-04 1.473174e-04
#> [2,] -4.297120e-04 -2.926785e-04 -0.0001698721 -5.677252e-05 -2.539265e-05
#> [3,] -1.451484e-03 -1.043574e-03 -0.0007194848 -3.802783e-04 -3.061531e-04
#> [4,] 6.501828e-04 5.142500e-04 0.0004254534 3.116861e-04 3.067755e-04
#> [5,] 4.433249e-04 3.501509e-04 0.0002968795 2.176482e-04 2.126700e-04
#> [6,] -8.364854e-04 -5.962426e-04 -0.0003976422 -1.985117e-04 -1.538397e-04
#> [7,] 7.233344e-04 5.672669e-04 0.0004675166 3.380499e-04 3.308130e-04
#> [8,] -1.698850e-03 -1.222907e-03 -0.0008471698 -4.440740e-04 -3.605052e-04
#> [9,] -2.022908e-04 -1.240532e-04 -0.0000485057 1.718321e-05 3.880305e-05
#> [10,] 2.109491e-04 1.882700e-04 0.0001895873 1.678272e-04 1.770587e-04
#> V19 V2 V20 V21 V22
#> [1,] 0.0002151197 2.482898e-05 0.0002725871 0.0003126788 0.0002833829
#> [2,] -0.0003741102 -8.026509e-05 -0.0005441024 -0.0005348843 -0.0004037798
#> [3,] -0.0015580112 -3.047072e-04 -0.0022336196 -0.0023196614 -0.0018362778
#> [4,] 0.0008481212 1.411064e-04 0.0011622407 0.0012315210 0.0010189482
#> [5,] 0.0006113436 1.049401e-04 0.0008528118 0.0009243050 0.0007627205
#> [6,] -0.0008526702 -1.680333e-04 -0.0012182078 -0.0012441429 -0.0009776284
#> [7,] 0.0009489209 1.612997e-04 0.0013108702 0.0013982242 0.0011529534
#> [8,] -0.0018534645 -3.625506e-04 -0.0026705061 -0.0027884204 -0.0022041261
#> [9,] -0.0001314420 -3.574055e-05 -0.0002080495 -0.0001928634 -0.0001302041
#> [10,] 0.0003626942 5.332952e-05 0.0004874368 0.0005394391 0.0004617784
#> V23 V24 V25 V26 V27
#> [1,] 0.0002226512 0.0002335486 2.323383e-04 2.499097e-04 2.415877e-04
#> [2,] -0.0003768935 -0.0003449499 -1.185611e-04 -2.050481e-05 -2.040667e-04
#> [3,] -0.0015964949 -0.0015216817 -8.095533e-04 -5.535802e-04 -1.103628e-03
#> [4,] 0.0008672302 0.0008512566 5.854697e-04 5.101978e-04 7.070072e-04
#> [5,] 0.0006291640 0.0006229201 4.399422e-04 3.979311e-04 5.270649e-04
#> [6,] -0.0008698973 -0.0008222127 -4.085791e-04 -2.502569e-04 -5.770220e-04
#> [7,] 0.0009718673 0.0009552432 6.547544e-04 5.727309e-04 7.925884e-04
#> [8,] -0.0019001955 -0.0018137792 -9.770387e-04 -6.877901e-04 -1.327178e-03
#> [9,] -0.0001329680 -0.0001119962 1.100945e-05 6.848267e-05 -3.367248e-05
#> [10,] 0.0003723751 0.0003779139 3.144485e-04 3.135011e-04 3.526154e-04
#> V28 V29 V3 V30 V31
#> [1,] 2.599776e-04 2.793983e-04 2.914405e-05 2.758654e-04 1.854181e-04
#> [2,] -2.691236e-04 1.947380e-04 -8.744349e-05 4.716371e-04 4.828789e-04
#> [3,] -1.364091e-03 9.254362e-06 -3.377176e-04 8.690138e-04 1.138321e-03
#> [4,] 8.236057e-04 3.267050e-04 1.578589e-04 -7.796800e-07 -1.982153e-04
#> [5,] 6.173879e-04 2.952154e-04 1.185161e-04 7.600335e-05 -9.939706e-05
#> [6,] -7.182183e-04 9.990675e-05 -1.851379e-04 6.043912e-04 7.153793e-04
#> [7,] 9.250159e-04 3.705134e-04 1.810323e-04 4.814627e-06 -2.282238e-04
#> [8,] -1.643888e-03 -4.850315e-05 -4.025905e-04 9.558988e-04 1.305500e-03
#> [9,] -6.537338e-05 1.897954e-04 -3.840628e-05 3.385816e-04 3.199975e-04
#> [10,] 3.983877e-04 3.000638e-04 6.085661e-05 2.220944e-04 9.625380e-05
#> V32 V33 V34 V35 V36
#> [1,] 0.0001545411 1.461057e-04 1.260077e-04 1.301322e-04 1.322970e-04
#> [2,] 0.0001592394 3.413873e-04 5.569178e-04 7.052704e-04 6.722008e-04
#> [3,] 0.0002045042 7.776968e-04 1.503576e-03 1.940543e-03 1.818914e-03
#> [4,] 0.0001154449 -1.073196e-04 -3.959277e-04 -5.592797e-04 -5.170600e-04
#> [5,] 0.0001053248 -4.639789e-05 -2.545901e-04 -3.571395e-04 -3.218464e-04
#> [6,] 0.0001580450 4.935183e-04 9.059894e-04 1.168474e-03 1.104232e-03
#> [7,] 0.0001248802 -1.266791e-04 -4.587693e-04 -6.361316e-04 -5.812989e-04
#> [8,] 0.0002173789 8.847088e-04 1.740294e-03 2.247203e-03 2.104433e-03
#> [9,] 0.0001356239 2.305047e-04 3.421300e-04 4.241506e-04 4.072642e-04
#> [10,] 0.0001446232 8.748107e-05 2.749789e-06 -3.060337e-05 -1.791046e-05
#> V37 V38 V39 V4 V40
#> [1,] 1.593443e-04 0.0001789731 1.663615e-04 4.137504e-05 1.213698e-04
#> [2,] 4.663983e-04 0.0001810888 -3.858478e-05 -1.304774e-04 8.317271e-05
#> [3,] 1.102758e-03 0.0001613288 -5.024858e-04 -4.969529e-04 -1.770767e-05
#> [4,] -2.239126e-04 0.0001481383 3.788480e-04 2.318575e-04 1.465333e-04
#> [5,] -1.066285e-04 0.0001584219 3.156074e-04 1.721215e-04 1.392888e-04
#> [6,] 7.018140e-04 0.0001626433 -2.274595e-04 -2.739828e-04 3.673523e-05
#> [7,] -2.430203e-04 0.0001794839 4.409363e-04 2.644508e-04 1.751213e-04
#> [8,] 1.255194e-03 0.0001378520 -6.401812e-04 -5.918419e-04 -5.374480e-05
#> [9,] 3.030637e-04 0.0001529315 2.910584e-05 -5.794022e-05 8.177550e-05
#> [10,] 7.555973e-05 0.0001814433 2.266513e-04 8.828471e-05 1.332343e-04
#> V41 V42 V43 V44 V45
#> [1,] 1.329339e-04 1.648842e-04 0.0001258520 0.0001313393 0.0001529426
#> [2,] 6.262009e-05 -5.568979e-05 -0.0002765628 -0.0003754137 -0.0003980013
#> [3,] -1.216501e-04 -5.617480e-04 -0.0011323565 -0.0014556952 -0.0015927633
#> [4,] 1.907980e-04 3.901035e-04 0.0005663730 0.0006917628 0.0007630973
#> [5,] 1.814447e-04 3.292387e-04 0.0004245606 0.0005140957 0.0005783298
#> [6,] -1.291719e-05 -2.561538e-04 -0.0006148534 -0.0008000924 -0.0008652492
#> [7,] 2.289730e-04 4.558356e-04 0.0006456475 0.0007894633 0.0008744194
#> [8,] -1.816363e-04 -7.081897e-04 -0.0013568796 -0.0017353380 -0.0019056636
#> [9,] 7.321929e-05 1.848304e-05 -0.0001111719 -0.0001628378 -0.0001696010
#> [10,] 1.547011e-04 2.289073e-04 0.0002348233 0.0002702032 0.0003087424
#> V46 V47 V48 V49 V5
#> [1,] 1.136592e-04 8.827082e-05 7.146041e-05 3.799473e-05 4.635234e-05
#> [2,] -2.198074e-04 -1.038172e-04 -9.246489e-05 -8.062410e-05 -1.587088e-04
#> [3,] -9.478517e-04 -5.357660e-04 -4.623836e-04 -3.401330e-04 -5.888601e-04
#> [4,] 4.785465e-04 2.946534e-04 2.493079e-04 1.683733e-04 2.731316e-04
#> [5,] 3.697587e-04 2.372018e-04 1.999900e-04 1.294934e-04 1.988878e-04
#> [6,] -5.051452e-04 -2.729998e-04 -2.371795e-04 -1.822071e-04 -3.279639e-04
#> [7,] 5.492981e-04 3.421656e-04 2.899708e-04 1.939985e-04 3.095759e-04
#> [8,] -1.138568e-03 -6.519136e-04 -5.628637e-04 -4.087526e-04 -6.984413e-04
#> [9,] -8.478376e-05 -3.037771e-05 -2.937563e-05 -3.242709e-05 -7.126152e-05
#> [10,] 2.083268e-04 1.441138e-04 1.198891e-04 7.164700e-05 1.008914e-04
#> V50 V51 V52 V53 V54
#> [1,] 8.862423e-06 1.154328e-05 7.389212e-06 5.193420e-06 5.119679e-06
#> [2,] -1.397813e-05 -2.474469e-05 -2.887020e-05 -1.459008e-05 -1.889381e-05
#> [3,] -6.183554e-05 -1.046325e-04 -1.056656e-04 -5.678288e-05 -6.977550e-05
#> [4,] 3.346733e-05 5.155772e-05 4.797178e-05 2.716057e-05 3.199518e-05
#> [5,] 2.511926e-05 3.985843e-05 3.497531e-05 2.014082e-05 2.334704e-05
#> [6,] -3.319693e-05 -5.594926e-05 -5.907286e-05 -3.123004e-05 -3.887013e-05
#> [7,] 3.790995e-05 5.939677e-05 5.431174e-05 3.086692e-05 3.625647e-05
#> [8,] -7.397564e-05 -1.262331e-04 -1.256118e-04 -6.791951e-05 -8.301853e-05
#> [9,] -4.772324e-06 -1.005561e-05 -1.337248e-05 -6.334849e-06 -8.652897e-06
#> [10,] 1.491998e-05 2.185080e-05 1.732691e-05 1.055014e-05 1.169244e-05
#> V55 V56 V57 V58 V59
#> [1,] 3.320366e-06 4.111334e-06 3.151893e-06 3.366869e-06 4.254237e-06
#> [2,] -1.615977e-06 -1.100823e-05 -3.821254e-06 -1.282279e-05 -1.053757e-05
#> [3,] -1.198948e-05 -4.324629e-05 -1.919421e-05 -4.680738e-05 -4.250881e-05
#> [4,] 8.450931e-06 2.083680e-05 1.064630e-05 2.148107e-05 2.062962e-05
#> [5,] 6.632754e-06 1.549640e-05 8.401677e-06 1.553403e-05 1.557602e-05
#> [6,] -5.907308e-06 -2.367079e-05 -9.877196e-06 -2.623744e-05 -2.308484e-05
#> [7,] 9.481253e-06 2.369605e-05 1.224678e-05 2.433438e-05 2.354959e-05
#> [8,] -1.473973e-05 -5.170200e-05 -2.332446e-05 -5.569063e-05 -5.101163e-05
#> [9,] 1.742402e-07 -4.706309e-06 -1.136388e-06 -5.911989e-06 -4.453493e-06
#> [10,] 4.673198e-06 8.240915e-06 5.089306e-06 7.694740e-06 8.327790e-06
#> V6 V60 V7 V8 V9
#> [1,] 3.376661e-05 2.819971e-06 4.163760e-05 6.934584e-05 0.0001251201
#> [2,] -1.573101e-04 -4.549465e-06 -1.293453e-04 -1.885476e-04 -0.0002727062
#> [3,] -5.409996e-04 -1.974835e-05 -4.710978e-04 -7.357790e-04 -0.0011354889
#> [4,] 2.453203e-04 1.080448e-05 2.295463e-04 3.553597e-04 0.0005644619
#> [5,] 1.688819e-04 7.973964e-06 1.598214e-04 2.627225e-04 0.0004302378
#> [6,] -3.104454e-04 -1.070280e-05 -2.670568e-04 -4.045806e-04 -0.0006117967
#> [7,] 2.734469e-04 1.215670e-05 2.556024e-04 4.045237e-04 0.0006483001
#> [8,] -6.343884e-04 -2.368560e-05 -5.546370e-04 -8.782829e-04 -0.0013650928
#> [9,] -7.316335e-05 -1.575658e-06 -5.568693e-05 -8.052320e-05 -0.0001098324
#> [10,] 8.195829e-05 4.726312e-06 8.503225e-05 1.404444e-04 0.0002385125
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.01396729 -0.01609471 -0.01312769 -0.0124765 -0.01413965 -0.01363738
#> [2,] 0.01396729 0.01609471 0.01312769 0.0124765 0.01413965 0.01363738
#> [,7] [,8] [,9] [,10]
#> [1,] -0.01407994 -0.009957924 -0.01395725 -0.01859578
#> [2,] 0.01407994 0.009957924 0.01395725 0.01859578
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.09658644 0.09738315 0.09953656 0.09613520 0.09636201 0.09843228
#> [7] 0.09558504 0.10038768 0.09752322 0.09619883
#>
#> $B[[2]]
#> [1] 0.16843488 0.03156512
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 3.543104e-04 1.979765e-05 -6.426549e-04 6.684994e-04 5.308139e-04
#> [6] -2.687230e-04 7.514395e-04 -8.156712e-04 1.233150e-04 4.319396e-04
#>
#> $vB[[2]]
#> [1] -0.02600539 0.02600539
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.1313 0.2231 0.2907 0.2259 0.3136 0.3302 0.3660 0.3956 0.4386 0.4670
#> [2,] 0.0378 0.2053 0.3135 0.3118 0.3686 0.3885 0.5850 0.7868 0.9739 1.0000
#> [3,] 0.0100 0.2668 0.3376 0.3282 0.2432 0.1268 0.1278 0.4441 0.6795 0.7051
#> [4,] 0.0664 0.1838 0.2869 0.4129 0.3647 0.1984 0.2840 0.4039 0.5837 0.6792
#> [5,] 0.0189 0.2522 0.2607 0.3710 0.3906 0.2672 0.2716 0.4183 0.6988 0.5733
#> [6,] 0.0116 0.2271 0.3171 0.2882 0.2657 0.2307 0.1889 0.1791 0.2298 0.3715
#> [7,] 0.0310 0.4432 0.5222 0.5611 0.5379 0.4048 0.2245 0.1784 0.2297 0.2720
#> [8,] 0.0135 0.1908 0.1576 0.1112 0.1197 0.1174 0.1415 0.2215 0.2658 0.2713
#> [9,] 0.1371 0.2067 0.4257 0.5484 0.7131 0.7003 0.6777 0.7939 0.9382 0.8925
#> [10,] 0.0235 0.3674 0.2974 0.0837 0.1912 0.5040 0.6352 0.6804 0.7505 0.6595
#> [11,] 0.0114 0.1799 0.2486 0.2973 0.3672 0.4394 0.5258 0.6755 0.7402 0.8284
#> [12,] 0.0333 0.0920 0.1475 0.0522 0.1119 0.0970 0.1174 0.1678 0.1642 0.1205
#> [13,] 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> [14,] 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> [15,] 0.0272 0.3997 0.3941 0.3309 0.2926 0.1760 0.1739 0.2043 0.2088 0.2678
#> [16,] 0.0134 0.1250 0.2405 0.2325 0.2523 0.1472 0.0669 0.1100 0.2353 0.3282
#> [17,] 0.0201 0.2720 0.2188 0.3037 0.2959 0.2059 0.0906 0.1610 0.1800 0.2180
#> [18,] 0.0293 0.0860 0.0414 0.0472 0.0835 0.0938 0.1466 0.0809 0.1179 0.2179
#> [19,] 0.0283 0.1767 0.1995 0.2869 0.3275 0.3769 0.4169 0.5036 0.6180 0.8025
#> [20,] 0.0181 0.1045 0.0904 0.0671 0.0997 0.1056 0.0346 0.1231 0.1626 0.3652
#> [21,] 0.0365 0.3735 0.3042 0.0387 0.2679 0.5397 0.6204 0.7257 0.8350 0.6888
#> [22,] 0.0249 0.2531 0.2855 0.2961 0.3341 0.4287 0.5205 0.6087 0.7236 0.7577
#> [23,] 0.0428 0.0113 0.1255 0.2473 0.3011 0.3747 0.4520 0.5392 0.6588 0.7113
#> [24,] 0.0107 0.2936 0.3104 0.3431 0.2456 0.1887 0.1184 0.2080 0.2736 0.3274
#> [25,] 0.0191 0.3134 0.4786 0.5239 0.4393 0.3440 0.2869 0.3889 0.4420 0.3892
#> [26,] 0.0039 0.0452 0.0492 0.0996 0.1424 0.1194 0.0628 0.0907 0.1177 0.1429
#> [27,] 0.0162 0.1334 0.2969 0.4754 0.5677 0.5690 0.6421 0.7487 0.8999 1.0000
#> [28,] 0.0201 0.0279 0.2251 0.2615 0.1770 0.3709 0.4533 0.5553 0.4616 0.3797
#> [29,] 0.0715 0.4186 0.4867 0.5249 0.5959 0.6855 0.8573 0.9718 0.8693 0.8711
#> [30,] 0.0201 0.1097 0.0841 0.0942 0.1204 0.0420 0.0031 0.0162 0.0624 0.2127
#> [31,] 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> [32,] 0.0093 0.1360 0.2132 0.3738 0.3738 0.2673 0.2333 0.5367 0.7312 0.7659
#> [33,] 0.0516 0.1294 0.2646 0.2778 0.4432 0.3672 0.2035 0.2764 0.3252 0.1536
#> [34,] 0.0335 0.4372 0.5533 0.5771 0.7022 0.7067 0.7367 0.7391 0.8622 0.9458
#> [35,] 0.0187 0.2684 0.3108 0.2933 0.2275 0.0994 0.1801 0.2200 0.2732 0.2862
#> [36,] 0.0635 0.3900 0.4674 0.5632 0.5506 0.4343 0.3052 0.3492 0.3975 0.3875
#> [37,] 0.0067 0.1180 0.0978 0.0909 0.0656 0.0593 0.0832 0.1297 0.2038 0.3811
#> [38,] 0.0217 0.1777 0.4079 0.4113 0.3973 0.5078 0.6509 0.8073 0.9819 1.0000
#> [39,] 0.0100 0.1264 0.0881 0.1992 0.0184 0.2261 0.1729 0.2131 0.0693 0.2281
#> [40,] 0.0261 0.2013 0.2890 0.3650 0.3510 0.3495 0.4325 0.5398 0.6237 0.6876
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.5255 0.2339 0.3735 0.2243 0.1973 0.4337 0.6532 0.5070 0.2796 0.4163
#> [2,] 0.9843 0.0318 0.8610 0.8443 0.9061 0.5847 0.4033 0.5946 0.6793 0.6389
#> [3,] 0.7966 0.0275 0.9401 0.9857 0.8193 0.5789 0.6394 0.7043 0.6875 0.4081
#> [4,] 0.6086 0.0575 0.4858 0.3246 0.2013 0.2082 0.1686 0.2484 0.2736 0.2984
#> [5,] 0.2226 0.0308 0.2631 0.7473 0.7263 0.3393 0.2824 0.6053 0.5897 0.4967
#> [6,] 0.6223 0.0744 0.7260 0.7934 0.8045 0.8067 0.9173 0.9327 0.9562 1.0000
#> [7,] 0.5209 0.0221 0.6898 0.8202 0.8780 0.7600 0.7616 0.7152 0.7288 0.8686
#> [8,] 0.3862 0.0045 0.5717 0.6797 0.8747 1.0000 0.8948 0.8420 0.9174 0.9307
#> [9,] 0.9146 0.1226 0.7832 0.7960 0.7983 0.7716 0.6615 0.4860 0.5572 0.4697
#> [10,] 0.4509 0.0291 0.2964 0.4019 0.6794 0.8297 1.0000 0.8240 0.7115 0.7726
#> [11,] 0.9033 0.0222 0.9584 1.0000 0.9982 0.8899 0.7493 0.6367 0.6744 0.7207
#> [12,] 0.0494 0.0221 0.1544 0.3485 0.6146 0.9146 0.9364 0.8677 0.8772 0.8553
#> [13,] 0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> [14,] 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> [15,] 0.2434 0.0378 0.1839 0.2802 0.6172 0.8015 0.8313 0.8440 0.8494 0.9168
#> [16,] 0.4416 0.0172 0.5167 0.6508 0.7793 0.7978 0.7786 0.8587 0.9321 0.9454
#> [17,] 0.2026 0.0178 0.1506 0.0521 0.2143 0.4333 0.5943 0.6926 0.7576 0.8787
#> [18,] 0.3326 0.0644 0.3258 0.2111 0.2302 0.3361 0.4259 0.4609 0.2606 0.0874
#> [19,] 0.9333 0.0599 0.9399 0.9275 0.9450 0.8328 0.7773 0.7007 0.6154 0.5810
#> [20,] 0.3262 0.0146 0.2995 0.2109 0.2104 0.2085 0.2282 0.0747 0.1969 0.4086
#> [21,] 0.4450 0.1632 0.3921 0.5605 0.7545 0.8311 1.0000 0.8762 0.7092 0.7009
#> [22,] 0.7726 0.0119 0.8098 0.8995 0.9247 0.9365 0.9853 0.9776 1.0000 0.9896
#> [23,] 0.7602 0.0555 0.8672 0.8416 0.7974 0.8385 0.9317 0.8555 0.6162 0.4139
#> [24,] 0.2344 0.0453 0.1260 0.0576 0.1241 0.3239 0.4357 0.5734 0.7825 0.9252
#> [25,] 0.4088 0.0173 0.5006 0.7271 0.9385 1.0000 0.9831 0.9932 0.9161 0.8237
#> [26,] 0.1223 0.0063 0.1104 0.1847 0.3715 0.4382 0.5707 0.6654 0.7476 0.7654
#> [27,] 0.9690 0.0253 0.9032 0.7685 0.6998 0.6644 0.5964 0.3711 0.0921 0.0481
#> [28,] 0.3450 0.0423 0.2665 0.2395 0.1127 0.2556 0.5169 0.3779 0.4082 0.5353
#> [29,] 0.8954 0.0849 0.9922 0.8980 0.8158 0.8373 0.7541 0.5893 0.5488 0.5643
#> [30,] 0.3436 0.0026 0.3813 0.3825 0.4764 0.6313 0.7523 0.8675 0.8788 0.7901
#> [31,] 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> [32,] 0.6271 0.0269 0.4395 0.4330 0.4326 0.5544 0.7360 0.8589 0.8989 0.9420
#> [33,] 0.2784 0.0944 0.3508 0.5187 0.7052 0.7143 0.6814 0.5100 0.5308 0.6131
#> [34,] 0.8782 0.0134 0.7913 0.5760 0.3061 0.0563 0.0239 0.2554 0.4862 0.5027
#> [35,] 0.2034 0.0346 0.1740 0.4130 0.6879 0.8120 0.8453 0.8919 0.9300 0.9987
#> [36,] 0.5280 0.0709 0.7198 0.7702 0.8562 0.8688 0.9236 1.0000 0.9662 0.9822
#> [37,] 0.4451 0.0096 0.5224 0.5911 0.6566 0.6308 0.5998 0.4958 0.5647 0.6906
#> [38,] 0.9407 0.0340 0.8452 0.8106 0.8460 0.6212 0.5815 0.7745 0.8204 0.5601
#> [39,] 0.4060 0.0171 0.3973 0.2741 0.3690 0.5556 0.4846 0.3140 0.5334 0.5256
#> [40,] 0.7329 0.0266 0.8107 0.8396 0.8632 0.8747 0.9607 0.9716 0.9121 0.8576
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.5950 0.5242 0.3059 0.4178 0.3714 0.2375 0.0863 0.1437 0.2896 0.4577
#> [2,] 0.5002 0.5578 0.0423 0.4831 0.4729 0.3318 0.3969 0.3894 0.2314 0.1036
#> [3,] 0.1811 0.2064 0.0190 0.3917 0.3791 0.2042 0.2227 0.3341 0.3984 0.5077
#> [4,] 0.4655 0.6990 0.0842 0.7474 0.7956 0.7981 0.6715 0.6942 0.7440 0.8169
#> [5,] 0.8616 0.8339 0.0197 0.4084 0.2268 0.1745 0.0507 0.1588 0.3040 0.1369
#> [6,] 0.9818 0.8684 0.0367 0.6381 0.3997 0.3242 0.2835 0.2413 0.2321 0.1260
#> [7,] 0.9509 0.8348 0.0433 0.5730 0.4363 0.4289 0.4240 0.3156 0.1287 0.1477
#> [8,] 0.9050 0.8228 0.0051 0.6986 0.5831 0.4924 0.4563 0.5159 0.5670 0.5284
#> [9,] 0.5640 0.4517 0.1385 0.3369 0.2684 0.2339 0.3052 0.3016 0.2753 0.1041
#> [10,] 0.6124 0.4936 0.0749 0.5648 0.4906 0.1820 0.1811 0.1107 0.4603 0.6650
#> [11,] 0.6821 0.5512 0.0269 0.4789 0.3924 0.2533 0.1089 0.1390 0.2551 0.3301
#> [12,] 0.8833 1.0000 0.0270 0.8296 0.6601 0.5499 0.5716 0.6859 0.6825 0.5142
#> [13,] 0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> [14,] 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> [15,] 1.0000 0.7896 0.0488 0.5371 0.6472 0.6505 0.4959 0.2175 0.0990 0.0434
#> [16,] 0.8645 0.7220 0.0178 0.4850 0.1357 0.2951 0.4715 0.6036 0.8083 0.9870
#> [17,] 0.9060 0.8528 0.0274 0.9087 0.9657 0.9306 0.7774 0.6643 0.6604 0.6884
#> [18,] 0.2862 0.5606 0.0390 0.8344 0.8096 0.7250 0.8048 0.9435 1.0000 0.8960
#> [19,] 0.4454 0.3707 0.0656 0.2891 0.2185 0.1711 0.3578 0.3947 0.2867 0.2401
#> [20,] 0.6385 0.7970 0.0026 0.7508 0.5517 0.2214 0.4672 0.4479 0.2297 0.3235
#> [21,] 0.5014 0.3942 0.1636 0.4456 0.4072 0.0773 0.1423 0.0401 0.3597 0.6847
#> [22,] 0.9076 0.7306 0.0277 0.5758 0.4469 0.3719 0.2079 0.0955 0.0488 0.1406
#> [23,] 0.3269 0.3108 0.0708 0.2554 0.3367 0.4465 0.5000 0.5111 0.5194 0.4619
#> [24,] 0.9349 0.9348 0.0289 1.0000 0.9308 0.8478 0.7605 0.7040 0.7539 0.7990
#> [25,] 0.6957 0.4536 0.0291 0.3281 0.2522 0.3964 0.4154 0.3308 0.1445 0.1923
#> [26,] 0.8555 0.9720 0.0152 0.9221 0.7502 0.7209 0.7757 0.6055 0.5021 0.4499
#> [27,] 0.0876 0.1040 0.0262 0.1714 0.3264 0.4612 0.3939 0.5050 0.4833 0.3511
#> [28,] 0.5116 0.4544 0.0554 0.4258 0.3869 0.3939 0.4661 0.3974 0.2194 0.1816
#> [29,] 0.5406 0.4783 0.0587 0.4439 0.3698 0.2574 0.1478 0.1743 0.1229 0.1588
#> [30,] 0.8357 0.9631 0.0138 0.9619 0.9236 0.8903 0.9708 0.9647 0.7892 0.5307
#> [31,] 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> [32,] 0.9401 0.9379 0.0217 0.8575 0.7284 0.6700 0.7547 0.8773 0.9919 0.9922
#> [33,] 0.8388 0.9031 0.0622 0.8607 0.9656 0.9168 0.7132 0.6898 0.7310 0.4134
#> [34,] 0.4402 0.2847 0.0696 0.1797 0.3560 0.3522 0.3321 0.3112 0.3638 0.0754
#> [35,] 1.0000 0.8104 0.0168 0.6199 0.6041 0.5547 0.4160 0.1472 0.0849 0.0608
#> [36,] 0.7360 0.4158 0.0453 0.2918 0.3280 0.3690 0.3450 0.2863 0.0864 0.3724
#> [37,] 0.8513 1.0000 0.0024 0.9166 0.7676 0.6177 0.5468 0.5516 0.5463 0.5515
#> [38,] 0.2989 0.5009 0.0392 0.6628 0.5753 0.4055 0.3746 0.3481 0.1580 0.1422
#> [39,] 0.2520 0.2090 0.0623 0.3559 0.6260 0.7340 0.6120 0.3497 0.3953 0.3012
#> [40,] 0.8798 0.7720 0.0223 0.5711 0.4264 0.2860 0.3114 0.2066 0.1165 0.0185
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.3725 0.3372 0.3803 0.4264 0.4181 0.3603 0.2711 0.1653 0.1951 0.2811
#> [2,] 0.1312 0.0864 0.2569 0.0350 0.3179 0.2649 0.2714 0.1713 0.0584 0.1230
#> [3,] 0.5534 0.3352 0.2723 0.0371 0.2278 0.2044 0.1986 0.0835 0.0908 0.1380
#> [4,] 0.8912 1.0000 0.8753 0.0372 0.7061 0.6803 0.5898 0.4618 0.3639 0.1492
#> [5,] 0.1605 0.2061 0.0734 0.0622 0.0202 0.1638 0.1583 0.1830 0.1886 0.1008
#> [6,] 0.0693 0.0701 0.1439 0.0225 0.1475 0.0438 0.0469 0.1476 0.1742 0.1555
#> [7,] 0.2062 0.2400 0.5173 0.0191 0.5168 0.1491 0.2407 0.3415 0.4494 0.4624
#> [8,] 0.5144 0.3742 0.2282 0.0289 0.1193 0.1088 0.0431 0.1070 0.0583 0.0046
#> [9,] 0.1757 0.3156 0.3603 0.1484 0.2736 0.1301 0.2458 0.3404 0.1753 0.0679
#> [10,] 0.6423 0.2166 0.1951 0.0519 0.4947 0.4925 0.4041 0.2402 0.1392 0.1779
#> [11,] 0.2818 0.2142 0.2266 0.0384 0.2142 0.2354 0.2871 0.2596 0.1925 0.1256
#> [12,] 0.2750 0.1358 0.1551 0.0481 0.2646 0.1994 0.1883 0.2746 0.1651 0.0575
#> [13,] 0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> [14,] 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> [15,] 0.1708 0.1979 0.1880 0.0848 0.1108 0.1702 0.0585 0.0638 0.1391 0.0638
#> [16,] 0.8800 0.6411 0.4276 0.0363 0.2702 0.2642 0.3342 0.4335 0.4542 0.3960
#> [17,] 0.6938 0.5932 0.5774 0.0232 0.6223 0.5841 0.4527 0.4911 0.5762 0.5013
#> [18,] 0.5516 0.3037 0.2338 0.0173 0.2382 0.3318 0.3821 0.1575 0.2228 0.1582
#> [19,] 0.3619 0.3314 0.3763 0.0229 0.4767 0.4059 0.3661 0.2320 0.1450 0.1017
#> [20,] 0.4480 0.5581 0.6520 0.0141 0.5354 0.2478 0.2268 0.1788 0.0898 0.0536
#> [21,] 0.7076 0.3597 0.0612 0.1421 0.3027 0.3966 0.3868 0.2380 0.2059 0.2288
#> [22,] 0.2554 0.2054 0.1614 0.0760 0.2232 0.1773 0.2293 0.2521 0.1464 0.0673
#> [23,] 0.4234 0.4372 0.4277 0.0618 0.4433 0.3700 0.3324 0.2564 0.2527 0.2137
#> [24,] 0.7673 0.5955 0.4731 0.0713 0.4840 0.4340 0.3954 0.4837 0.5379 0.4485
#> [25,] 0.3208 0.3367 0.5683 0.0301 0.5505 0.3231 0.0448 0.3131 0.3387 0.4130
#> [26,] 0.3947 0.4281 0.4427 0.0336 0.3749 0.1972 0.0511 0.0793 0.1269 0.1533
#> [27,] 0.2319 0.4029 0.3676 0.0386 0.1510 0.0745 0.1395 0.1552 0.0377 0.0636
#> [28,] 0.1023 0.2108 0.3253 0.0783 0.3697 0.2912 0.3010 0.2563 0.1927 0.2062
#> [29,] 0.1803 0.1436 0.1667 0.0218 0.2630 0.2234 0.1239 0.0869 0.2092 0.1499
#> [30,] 0.2718 0.1953 0.1374 0.0062 0.3105 0.3790 0.4105 0.3355 0.2998 0.2748
#> [31,] 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> [32,] 0.9419 0.8388 0.6605 0.0339 0.4816 0.2917 0.1769 0.1136 0.0701 0.1578
#> [33,] 0.1580 0.1819 0.1381 0.0415 0.2960 0.6935 0.8246 0.5351 0.4403 0.6448
#> [34,] 0.1834 0.1820 0.1815 0.1180 0.1593 0.0576 0.0954 0.1086 0.0812 0.0784
#> [35,] 0.0969 0.1411 0.1676 0.0177 0.1200 0.1201 0.1036 0.1977 0.1339 0.0902
#> [36,] 0.4649 0.3488 0.1817 0.0333 0.1142 0.1220 0.2621 0.4461 0.4726 0.3263
#> [37,] 0.4561 0.3466 0.3384 0.0058 0.2853 0.2502 0.1641 0.1605 0.1491 0.1326
#> [38,] 0.2130 0.1866 0.1003 0.0236 0.2396 0.2241 0.2029 0.0710 0.1606 0.1669
#> [39,] 0.5408 0.8814 0.9857 0.0205 0.9167 0.6121 0.5006 0.3210 0.3202 0.4295
#> [40,] 0.1302 0.2480 0.1637 0.0749 0.1103 0.2144 0.2033 0.1887 0.1370 0.1376
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.2246 0.1921 0.1500 0.0665 0.4010 0.0193 0.0156 0.0362 0.0210 0.0154
#> [2,] 0.2200 0.2198 0.1074 0.0423 0.1787 0.0162 0.0093 0.0046 0.0044 0.0078
#> [3,] 0.1948 0.1211 0.0843 0.0589 0.0416 0.0247 0.0118 0.0088 0.0104 0.0036
#> [4,] 0.1216 0.1306 0.1198 0.0578 0.0458 0.0235 0.0135 0.0141 0.0190 0.0043
#> [5,] 0.0663 0.0183 0.0404 0.0108 0.0080 0.0143 0.0091 0.0038 0.0096 0.0142
#> [6,] 0.1651 0.1181 0.0720 0.0321 0.0076 0.0056 0.0202 0.0141 0.0103 0.0100
#> [7,] 0.2001 0.0775 0.1232 0.0783 0.0964 0.0089 0.0249 0.0204 0.0059 0.0053
#> [8,] 0.0473 0.0408 0.0290 0.0192 0.0561 0.0094 0.0025 0.0037 0.0084 0.0102
#> [9,] 0.1062 0.0643 0.0532 0.0531 0.1776 0.0272 0.0171 0.0118 0.0129 0.0344
#> [10,] 0.1946 0.1723 0.1522 0.0929 0.0227 0.0179 0.0242 0.0083 0.0037 0.0095
#> [11,] 0.1003 0.0951 0.1210 0.0728 0.1217 0.0174 0.0213 0.0269 0.0152 0.0257
#> [12,] 0.0695 0.0598 0.0456 0.0021 0.0679 0.0068 0.0036 0.0022 0.0032 0.0060
#> [13,] 0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> [14,] 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> [15,] 0.0581 0.0641 0.1044 0.0732 0.1127 0.0275 0.0146 0.0091 0.0045 0.0043
#> [16,] 0.2525 0.1084 0.0372 0.0286 0.0444 0.0099 0.0046 0.0094 0.0048 0.0047
#> [17,] 0.4042 0.3123 0.2232 0.1085 0.0724 0.0414 0.0253 0.0131 0.0049 0.0104
#> [18,] 0.1433 0.1634 0.1133 0.0567 0.0476 0.0133 0.0170 0.0035 0.0052 0.0083
#> [19,] 0.1111 0.0655 0.0271 0.0244 0.0839 0.0179 0.0109 0.0147 0.0170 0.0158
#> [20,] 0.0374 0.0990 0.0956 0.0317 0.0421 0.0142 0.0076 0.0223 0.0255 0.0145
#> [21,] 0.1704 0.1587 0.1792 0.1022 0.1130 0.0151 0.0223 0.0110 0.0071 0.0205
#> [22,] 0.0965 0.1492 0.1128 0.0463 0.1218 0.0193 0.0140 0.0027 0.0068 0.0150
#> [23,] 0.1789 0.1010 0.0528 0.0453 0.1215 0.0118 0.0009 0.0142 0.0179 0.0079
#> [24,] 0.2674 0.1541 0.1359 0.0941 0.1075 0.0261 0.0079 0.0164 0.0120 0.0113
#> [25,] 0.3639 0.2069 0.0859 0.0600 0.0463 0.0267 0.0125 0.0040 0.0136 0.0137
#> [26,] 0.0690 0.0402 0.0534 0.0228 0.0310 0.0073 0.0062 0.0062 0.0120 0.0052
#> [27,] 0.0443 0.0264 0.0223 0.0187 0.0645 0.0077 0.0137 0.0071 0.0082 0.0232
#> [28,] 0.1751 0.0841 0.1035 0.0641 0.0620 0.0153 0.0081 0.0191 0.0182 0.0160
#> [29,] 0.0676 0.0899 0.0927 0.0658 0.0862 0.0086 0.0216 0.0153 0.0121 0.0096
#> [30,] 0.2024 0.1043 0.0453 0.0337 0.0133 0.0122 0.0072 0.0108 0.0070 0.0063
#> [31,] 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> [32,] 0.1938 0.1106 0.0693 0.0176 0.0305 0.0205 0.0309 0.0212 0.0091 0.0056
#> [33,] 0.6214 0.3016 0.1379 0.0364 0.0995 0.0355 0.0456 0.0432 0.0274 0.0152
#> [34,] 0.0487 0.0439 0.0586 0.0370 0.0348 0.0185 0.0302 0.0244 0.0232 0.0093
#> [35,] 0.1085 0.1521 0.1363 0.0858 0.0393 0.0290 0.0203 0.0116 0.0098 0.0199
#> [36,] 0.1423 0.0390 0.0406 0.0311 0.0185 0.0086 0.0154 0.0048 0.0025 0.0087
#> [37,] 0.0687 0.0602 0.0561 0.0306 0.0197 0.0154 0.0029 0.0048 0.0023 0.0020
#> [38,] 0.1700 0.1829 0.1403 0.0506 0.1081 0.0224 0.0095 0.0031 0.0103 0.0078
#> [39,] 0.3654 0.2655 0.1576 0.0681 0.0205 0.0294 0.0241 0.0121 0.0036 0.0150
#> [40,] 0.0307 0.0373 0.0606 0.0399 0.1364 0.0169 0.0135 0.0222 0.0175 0.0127
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0180 0.0013 0.0106 0.0127 0.0178 0.1791 0.0231 0.1853 0.0055 0.1929
#> [2,] 0.0102 0.0065 0.0061 0.0062 0.0043 0.1635 0.0053 0.0887 0.0817 0.1779
#> [3,] 0.0088 0.0047 0.0117 0.0020 0.0091 0.0201 0.0058 0.0314 0.0651 0.1896
#> [4,] 0.0036 0.0026 0.0024 0.0162 0.0109 0.0771 0.0079 0.0771 0.1130 0.2353
#> [5,] 0.0190 0.0140 0.0099 0.0092 0.0052 0.0789 0.0075 0.1440 0.1451 0.1789
#> [6,] 0.0034 0.0026 0.0037 0.0044 0.0057 0.0545 0.0035 0.1110 0.1069 0.1708
#> [7,] 0.0079 0.0037 0.0015 0.0056 0.0067 0.1827 0.0054 0.1106 0.1702 0.2804
#> [8,] 0.0096 0.0024 0.0037 0.0028 0.0030 0.0929 0.0030 0.1031 0.0883 0.1596
#> [9,] 0.0065 0.0067 0.0022 0.0079 0.0146 0.1428 0.0051 0.1773 0.2161 0.1630
#> [10,] 0.0105 0.0030 0.0132 0.0068 0.0108 0.0834 0.0090 0.0677 0.2002 0.2876
#> [11,] 0.0097 0.0041 0.0050 0.0145 0.0103 0.2062 0.0025 0.1489 0.0929 0.1350
#> [12,] 0.0054 0.0063 0.0143 0.0132 0.0051 0.0981 0.0041 0.0843 0.1172 0.0759
#> [13,] 0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> [14,] 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> [15,] 0.0043 0.0098 0.0054 0.0051 0.0065 0.1103 0.0103 0.1349 0.2337 0.3113
#> [16,] 0.0016 0.0008 0.0042 0.0024 0.0027 0.0744 0.0041 0.0800 0.0456 0.0368
#> [17,] 0.0102 0.0092 0.0083 0.0020 0.0048 0.0833 0.0036 0.1232 0.1298 0.2085
#> [18,] 0.0078 0.0075 0.0105 0.0160 0.0095 0.0816 0.0011 0.0993 0.0315 0.0736
#> [19,] 0.0046 0.0073 0.0054 0.0033 0.0045 0.1673 0.0079 0.1154 0.1098 0.1370
#> [20,] 0.0233 0.0041 0.0018 0.0048 0.0089 0.0473 0.0085 0.0361 0.0741 0.1398
#> [21,] 0.0164 0.0063 0.0078 0.0094 0.0110 0.1306 0.0068 0.2112 0.2268 0.2992
#> [22,] 0.0012 0.0133 0.0048 0.0244 0.0077 0.1538 0.0074 0.1192 0.1229 0.2119
#> [23,] 0.0060 0.0131 0.0089 0.0084 0.0113 0.1524 0.0049 0.1543 0.0391 0.0610
#> [24,] 0.0021 0.0097 0.0072 0.0060 0.0017 0.1019 0.0036 0.1606 0.2119 0.3061
#> [25,] 0.0172 0.0132 0.0110 0.0122 0.0114 0.0690 0.0068 0.0576 0.1103 0.2423
#> [26,] 0.0056 0.0093 0.0042 0.0003 0.0053 0.0284 0.0036 0.0396 0.0272 0.0323
#> [27,] 0.0198 0.0074 0.0035 0.0100 0.0048 0.0472 0.0019 0.1056 0.1388 0.0598
#> [28,] 0.0290 0.0090 0.0242 0.0224 0.0190 0.0871 0.0096 0.1201 0.2707 0.1206
#> [29,] 0.0196 0.0042 0.0066 0.0099 0.0083 0.1801 0.0124 0.1916 0.1896 0.2960
#> [30,] 0.0030 0.0011 0.0007 0.0024 0.0057 0.0151 0.0044 0.0541 0.0210 0.0505
#> [31,] 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> [32,] 0.0086 0.0092 0.0070 0.0116 0.0060 0.1172 0.0110 0.1450 0.0638 0.0740
#> [33,] 0.0120 0.0129 0.0020 0.0109 0.0074 0.2431 0.0078 0.1777 0.2018 0.2611
#> [34,] 0.0159 0.0193 0.0032 0.0377 0.0126 0.1180 0.0156 0.1948 0.1607 0.3036
#> [35,] 0.0033 0.0101 0.0065 0.0115 0.0193 0.1630 0.0157 0.2028 0.1694 0.2328
#> [36,] 0.0072 0.0095 0.0086 0.0085 0.0040 0.1260 0.0051 0.1015 0.1918 0.3362
#> [37,] 0.0040 0.0019 0.0034 0.0034 0.0051 0.0618 0.0031 0.0432 0.0951 0.0836
#> [38,] 0.0077 0.0094 0.0031 0.0030 0.0013 0.1164 0.0069 0.1398 0.1009 0.1147
#> [39,] 0.0085 0.0073 0.0050 0.0044 0.0040 0.0368 0.0117 0.1098 0.1276 0.0598
#> [40,] 0.0022 0.0124 0.0054 0.0021 0.0028 0.1513 0.0023 0.1316 0.1654 0.1864
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.5830946 0.5510532 0.5254737 0.4790124 0.4959142 0.5063094 0.5500526
#> [2,] 0.5336731 0.5419220 0.5392392 0.4948876 0.4426339 0.4858948 0.5392374
#> [3,] 0.5681985 0.5186114 0.5356254 0.4775400 0.4460626 0.4981357 0.5442524
#> [4,] 0.5915252 0.5062215 0.5209114 0.4656759 0.4721774 0.5155082 0.5605487
#> [5,] 0.5194230 0.5276708 0.5416965 0.5186876 0.5071057 0.5057273 0.5212677
#> [6,] 0.5604286 0.5532292 0.5261268 0.4599600 0.4603740 0.4986960 0.5258433
#> [7,] 0.5818756 0.5430572 0.5251189 0.4634498 0.4870006 0.5053992 0.5326256
#> [8,] 0.5853277 0.5278417 0.5291999 0.4586595 0.4467797 0.4833560 0.5309672
#> [9,] 0.5357401 0.5229065 0.5403615 0.5005168 0.4658575 0.4940440 0.5411492
#> [10,] 0.5744364 0.5541922 0.5534468 0.4676867 0.4468187 0.4645513 0.5680841
#> [11,] 0.5472168 0.5236426 0.5454498 0.4798240 0.4381863 0.4772350 0.5410919
#> [12,] 0.5809758 0.5418524 0.5206340 0.4650531 0.4657457 0.4776946 0.5353740
#> [13,] 0.5533888 0.5419950 0.5347646 0.4697806 0.4491993 0.4957842 0.5409541
#> [14,] 0.5703881 0.5499933 0.5176539 0.4545787 0.5065993 0.5162004 0.5623225
#> [15,] 0.5662313 0.5613949 0.5322489 0.4719221 0.4777795 0.4981108 0.5288040
#> [16,] 0.6181909 0.5146639 0.5181686 0.4655803 0.4687423 0.4978928 0.5323836
#> [17,] 0.6069438 0.5531247 0.5158412 0.4450190 0.4872902 0.4998428 0.5567015
#> [18,] 0.5822298 0.5220493 0.5392663 0.4687410 0.4771158 0.4990814 0.5610898
#> [19,] 0.5685929 0.5265933 0.5303236 0.4778373 0.4420782 0.4939475 0.5531649
#> [20,] 0.5787907 0.5173449 0.5270543 0.4821401 0.4837591 0.5194987 0.5321518
#> [21,] 0.5670023 0.5439236 0.5608658 0.4848489 0.4490119 0.4654540 0.5663314
#> [22,] 0.5522002 0.5446283 0.5349134 0.4673668 0.4340158 0.4735723 0.5326256
#> [23,] 0.5761180 0.5182038 0.5194051 0.4730122 0.4500808 0.4828295 0.5637758
#> [24,] 0.6041921 0.5467269 0.5294228 0.4562163 0.4793587 0.4994664 0.5385808
#> [25,] 0.5880863 0.5477006 0.5127072 0.4699745 0.4808007 0.4883308 0.5433041
#> [26,] 0.5778208 0.5364399 0.5199322 0.4598645 0.4829136 0.5010647 0.5316669
#> [27,] 0.5407545 0.4941807 0.5408740 0.4992829 0.4580509 0.4812157 0.5527504
#> [28,] 0.5484202 0.5421166 0.5301017 0.4878335 0.4826444 0.4975113 0.5406491
#> [29,] 0.5337867 0.5330091 0.5607349 0.4910569 0.4471131 0.4794020 0.5417951
#> [30,] 0.5832057 0.5441355 0.5187682 0.4531832 0.4586803 0.4887124 0.5424807
#> [31,] 0.5539601 0.5694913 0.5143460 0.4789951 0.4794596 0.5168606 0.5225833
#> [32,] 0.6154153 0.5161693 0.5259980 0.4495112 0.4489892 0.4944865 0.5401154
#> [33,] 0.5625817 0.5503328 0.5330915 0.4635551 0.4834614 0.4849408 0.5767492
#> [34,] 0.5245128 0.5411146 0.5539135 0.5144808 0.4805169 0.5238221 0.5193594
#> [35,] 0.5566818 0.5567282 0.5308631 0.4769025 0.4723876 0.4888259 0.5268471
#> [36,] 0.5731737 0.5305076 0.5312159 0.4776635 0.4589338 0.4861010 0.5254180
#> [37,] 0.5768326 0.5207816 0.5346453 0.4588863 0.4584423 0.4883755 0.5404001
#> [38,] 0.5245320 0.5370738 0.5537589 0.4869830 0.4353995 0.4827736 0.5413015
#> [39,] 0.6031902 0.5407696 0.5053566 0.4464773 0.4755473 0.5159011 0.5812237
#> [40,] 0.5476812 0.5436434 0.5352107 0.4740201 0.4450829 0.4896469 0.5274997
#> [,8] [,9] [,10]
#> [1,] 0.5079984 0.5234008 0.5744853
#> [2,] 0.5123679 0.4719407 0.5970430
#> [3,] 0.4979835 0.4945771 0.5828190
#> [4,] 0.5347211 0.4774309 0.5534982
#> [5,] 0.5260904 0.4968152 0.5875458
#> [6,] 0.4805707 0.4674038 0.5939881
#> [7,] 0.4943103 0.4675766 0.5791066
#> [8,] 0.5018270 0.4724306 0.5870858
#> [9,] 0.5173245 0.4955268 0.6135335
#> [10,] 0.5305020 0.5050832 0.5917800
#> [11,] 0.4934140 0.5006168 0.6069705
#> [12,] 0.5175665 0.4507610 0.5701300
#> [13,] 0.4966120 0.5064308 0.6172635
#> [14,] 0.5105226 0.4749506 0.5346894
#> [15,] 0.5155739 0.4752794 0.5780103
#> [16,] 0.5000973 0.4744711 0.5822446
#> [17,] 0.5259882 0.4547610 0.5556144
#> [18,] 0.5334902 0.4679244 0.5277047
#> [19,] 0.5005596 0.4931583 0.5918489
#> [20,] 0.5063910 0.4862384 0.5400048
#> [21,] 0.5281636 0.5262823 0.6030038
#> [22,] 0.4935734 0.4881647 0.6164497
#> [23,] 0.5111846 0.4944852 0.5953144
#> [24,] 0.5266782 0.4523220 0.5595117
#> [25,] 0.5104058 0.4805729 0.5950937
#> [26,] 0.5152503 0.4613081 0.5598363
#> [27,] 0.5273466 0.5095985 0.5935882
#> [28,] 0.5220410 0.4836922 0.5730627
#> [29,] 0.5168396 0.5128225 0.6090911
#> [30,] 0.5076589 0.4270602 0.5510349
#> [31,] 0.5137896 0.4837420 0.5785185
#> [32,] 0.5216895 0.4682267 0.5992771
#> [33,] 0.5246103 0.4466660 0.5623668
#> [34,] 0.5354977 0.4935463 0.5944909
#> [35,] 0.5084452 0.4718102 0.5857096
#> [36,] 0.5053615 0.4835927 0.6012785
#> [37,] 0.4976962 0.4676093 0.5617507
#> [38,] 0.5144046 0.4844764 0.5975612
#> [39,] 0.5120587 0.4866558 0.5484676
#> [40,] 0.4925014 0.4856019 0.6111111
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5649057 0.4350943
#> [2,] 0.5649631 0.4350369
#> [3,] 0.5645377 0.4354623
#> [4,] 0.5654486 0.4345514
#> [5,] 0.5654962 0.4345038
#> [6,] 0.5640855 0.4359145
#> [7,] 0.5643292 0.4356708
#> [8,] 0.5645454 0.4354546
#> [9,] 0.5649762 0.4350238
#> [10,] 0.5661159 0.4338841
#> [11,] 0.5643544 0.4356456
#> [12,] 0.5645276 0.4354724
#> [13,] 0.5648186 0.4351814
#> [14,] 0.5647465 0.4352535
#> [15,] 0.5656399 0.4343601
#> [16,] 0.5639624 0.4360376
#> [17,] 0.5652093 0.4347907
#> [18,] 0.5658174 0.4341826
#> [19,] 0.5643225 0.4356775
#> [20,] 0.5649026 0.4350974
#> [21,] 0.5660672 0.4339328
#> [22,] 0.5643859 0.4356141
#> [23,] 0.5638522 0.4361478
#> [24,] 0.5658068 0.4341932
#> [25,] 0.5640834 0.4359166
#> [26,] 0.5649423 0.4350577
#> [27,] 0.5648160 0.4351840
#> [28,] 0.5651939 0.4348061
#> [29,] 0.5659234 0.4340766
#> [30,] 0.5643133 0.4356867
#> [31,] 0.5654617 0.4345383
#> [32,] 0.5652941 0.4347059
#> [33,] 0.5647962 0.4352038
#> [34,] 0.5672027 0.4327973
#> [35,] 0.5649716 0.4350284
#> [36,] 0.5646243 0.4353757
#> [37,] 0.5643768 0.4356232
#> [38,] 0.5656752 0.4343248
#> [39,] 0.5643783 0.4356217
#> [40,] 0.5645875 0.4354125
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.33549006 0.20492687 0.10198307 -0.083999655 -0.01634351 0.0252389885
#> [2,] 0.13489643 0.16808255 0.15728039 -0.020450256 -0.23047948 -0.0564358784
#> [3,] 0.27450485 0.07448006 0.14274356 -0.089900617 -0.21659247 -0.0074571698
#> [4,] 0.37027424 0.02488720 0.08369441 -0.137512808 -0.11140533 0.0620528139
#> [5,] 0.07773102 0.11079653 0.16717429 0.074785063 0.02842486 0.0229100162
#> [6,] 0.24290166 0.21372659 0.10460233 -0.160503531 -0.15883710 -0.0052158403
#> [7,] 0.33047749 0.17265659 0.10056020 -0.146461883 -0.05200933 0.0215974856
#> [8,] 0.34468323 0.11148192 0.11693277 -0.165740343 -0.21369061 -0.0666005103
#> [9,] 0.14320459 0.09169001 0.16179813 0.002067366 -0.13678275 -0.0238249963
#> [10,] 0.29997516 0.21762357 0.21460702 -0.129433416 -0.21353271 -0.1420332325
#> [11,] 0.18943146 0.09464082 0.18230252 -0.080747935 -0.24852601 -0.0911229317
#> [12,] 0.32678052 0.16780221 0.08258277 -0.140016016 -0.13723227 -0.0892807002
#> [13,] 0.21437257 0.16837679 0.13928330 -0.121025265 -0.20390628 -0.0168634760
#> [14,] 0.28343484 0.20064375 0.07064510 -0.182187361 0.02639865 0.0648244527
#> [15,] 0.26649137 0.24682524 0.12917482 -0.112430063 -0.08894075 -0.0075568732
#> [16,] 0.48187658 0.05867262 0.07270628 -0.137896760 -0.12519396 -0.0084287131
#> [17,] 0.43448369 0.21330379 0.06338621 -0.220816787 -0.05085033 -0.0006288606
#> [18,] 0.33193361 0.08825458 0.15738940 -0.125199440 -0.09160093 -0.0036745167
#> [19,] 0.27611257 0.10647374 0.12144355 -0.088708926 -0.23273206 -0.0242111305
#> [20,] 0.31781102 0.06940744 0.10832293 -0.071470185 -0.06498659 0.0780342077
#> [21,] 0.26963113 0.17614828 0.24467659 -0.060623155 -0.20466375 -0.1384043433
#> [22,] 0.20956448 0.17898943 0.13988132 -0.130718473 -0.26548514 -0.1058092813
#> [23,] 0.30685755 0.07284753 0.07765933 -0.108056337 -0.20034408 -0.0687090651
#> [24,] 0.42296340 0.18745479 0.11782747 -0.175584632 -0.08261209 -0.0021344840
#> [25,] 0.35605981 0.19138446 0.05083980 -0.120246682 -0.07683491 -0.0466854335
#> [26,] 0.31383395 0.14601843 0.07977101 -0.160888314 -0.06837208 0.0042588647
#> [27,] 0.16338049 -0.02327821 0.16386180 -0.002868415 -0.16819187 -0.0751723925
#> [28,] 0.19428954 0.16886636 0.12055267 -0.048675743 -0.06945050 -0.0099547108
#> [29,] 0.13535323 0.13222881 0.24414505 -0.035776318 -0.21234177 -0.0824385347
#> [30,] 0.33594700 0.17700279 0.07510806 -0.187817197 -0.16565643 -0.0451581898
#> [31,] 0.21668424 0.27977598 0.05739991 -0.084069071 -0.08220799 0.0674679923
#> [32,] 0.47013307 0.06469984 0.10408597 -0.202645765 -0.20475573 -0.0220549263
#> [33,] 0.25164648 0.20201563 0.13255984 -0.146038444 -0.06617841 -0.0602550092
#> [34,] 0.09812983 0.16483063 0.21649569 0.057939493 -0.07797185 0.0953604687
#> [35,] 0.22770606 0.22789409 0.12360948 -0.092455866 -0.11056226 -0.0447038486
#> [36,] 0.29481169 0.12218229 0.12502608 -0.089405661 -0.16463571 -0.0556104607
#> [37,] 0.30978435 0.08317417 0.13880375 -0.164827022 -0.16661522 -0.0465062697
#> [38,] 0.09820698 0.14856800 0.21587007 -0.052079937 -0.25985456 -0.0689329122
#> [39,] 0.41877539 0.16344116 0.02142711 -0.214914255 -0.09788897 0.0636257773
#> [40,] 0.19130618 0.17501915 0.14107650 -0.104013276 -0.22055798 -0.0414181738
#> [,7] [,8] [,9] [,10]
#> [1,] 0.20088341 0.0319962468 0.093671479 0.3001748
#> [2,] 0.15727279 0.0494815233 -0.112355149 0.3931593
#> [3,] 0.17747382 -0.0080660484 -0.021692275 0.3343565
#> [4,] 0.24338910 0.1391080978 -0.090337926 0.2148151
#> [5,] 0.08512226 0.1044566661 -0.012739227 0.3538291
#> [6,] 0.10346544 -0.0777562752 -0.130570060 0.3804766
#> [7,] 0.13068804 -0.0227597214 -0.129875882 0.3191068
#> [8,] 0.12402747 0.0073080490 -0.110389666 0.3519310
#> [9,] 0.16496991 0.0693258022 -0.017893388 0.4621896
#> [10,] 0.27403871 0.1221598048 0.020333689 0.3713285
#> [11,] 0.16473904 -0.0263455267 0.002467349 0.4345957
#> [12,] 0.14173293 0.0702950964 -0.197596358 0.2823814
#> [13,] 0.16418409 -0.0135522516 0.025724603 0.4779491
#> [14,] 0.25059328 0.0420966157 -0.100281616 0.1389811
#> [15,] 0.11534389 0.0623158588 -0.098962948 0.3146108
#> [16,] 0.12971609 0.0003890593 -0.102204321 0.3319946
#> [17,] 0.22778601 0.1040463877 -0.181452267 0.2233819
#> [18,] 0.24558612 0.1341615898 -0.128478916 0.1109325
#> [19,] 0.21346652 0.0022382588 -0.027368547 0.3716140
#> [20,] 0.12878506 0.0255653318 -0.055060262 0.1603621
#> [21,] 0.26689881 0.1127737001 0.105226077 0.4179969
#> [22,] 0.13068816 -0.0257076721 -0.047350183 0.4745059
#> [23,] 0.25650052 0.0447459981 -0.022060198 0.3859792
#> [24,] 0.15463065 0.1068143478 -0.191293210 0.2391808
#> [25,] 0.17365154 0.0416292246 -0.077747704 0.3850633
#> [26,] 0.12683721 0.0610202101 -0.155077556 0.2404978
#> [27,] 0.21178982 0.1094958130 0.038398806 0.3788188
#> [28,] 0.16295598 0.0882211829 -0.065254535 0.2943579
#> [29,] 0.16757139 0.0673837088 0.051301180 0.4434934
#> [30,] 0.17033343 0.0306380973 -0.293855745 0.2048531
#> [31,] 0.09039485 0.0551725516 -0.065055112 0.3166945
#> [32,] 0.16080710 0.0868122875 -0.127264856 0.4024541
#> [33,] 0.30944275 0.0985209658 -0.214150655 0.2507733
#> [34,] 0.07747618 0.1422302836 -0.025816229 0.3825620
#> [35,] 0.10749194 0.0337839624 -0.112879037 0.3462571
#> [36,] 0.10175985 0.0214466333 -0.065652583 0.4107949
#> [37,] 0.16195352 -0.0092151748 -0.129744697 0.2482701
#> [38,] 0.16558335 0.0576344765 -0.062114447 0.3953135
#> [39,] 0.32779900 0.0482440296 -0.053389359 0.1944811
#> [40,] 0.11010977 -0.0299965573 -0.057608406 0.4519849
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.2465606 -0.014535463
#> [2,] 0.2435571 -0.017772462
#> [3,] 0.2474013 -0.012197720
#> [4,] 0.2497006 -0.013604461
#> [5,] 0.2428706 -0.020628195
#> [6,] 0.2413989 -0.016360728
#> [7,] 0.2430076 -0.015743153
#> [8,] 0.2463115 -0.013318689
#> [9,] 0.2450916 -0.016291164
#> [10,] 0.2489983 -0.017022904
#> [11,] 0.2457552 -0.013098302
#> [12,] 0.2435269 -0.016030804
#> [13,] 0.2456161 -0.015125680
#> [14,] 0.2426285 -0.017819663
#> [15,] 0.2439413 -0.020142402
#> [16,] 0.2477463 -0.009512640
#> [17,] 0.2452826 -0.017048711
#> [18,] 0.2480447 -0.016761465
#> [19,] 0.2468527 -0.011870790
#> [20,] 0.2468560 -0.014227419
#> [21,] 0.2501509 -0.015672198
#> [22,] 0.2441154 -0.014866056
#> [23,] 0.2468835 -0.009927407
#> [24,] 0.2465283 -0.018234641
#> [25,] 0.2439224 -0.013828877
#> [26,] 0.2440611 -0.017183731
#> [27,] 0.2480965 -0.012634645
#> [28,] 0.2438111 -0.018457350
#> [29,] 0.2473673 -0.017870406
#> [30,] 0.2423582 -0.016327938
#> [31,] 0.2428089 -0.020549464
#> [32,] 0.2501548 -0.012521408
#> [33,] 0.2419981 -0.018652337
#> [34,] 0.2463285 -0.024118833
#> [35,] 0.2424597 -0.018904351
#> [36,] 0.2456551 -0.014295888
#> [37,] 0.2453355 -0.013608827
#> [38,] 0.2451986 -0.019029029
#> [39,] 0.2469958 -0.011954624
#> [40,] 0.2436979 -0.016103686
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.4350943 -0.4350943
#> [2,] -0.5649631 0.5649631
#> [3,] -0.5645377 0.5645377
#> [4,] -0.5654486 0.5654486
#> [5,] -0.5654962 0.5654962
#> [6,] 0.4359145 -0.4359145
#> [7,] 0.4356708 -0.4356708
#> [8,] -0.5645454 0.5645454
#> [9,] 0.4350238 -0.4350238
#> [10,] -0.5661159 0.5661159
#> [11,] 0.4356456 -0.4356456
#> [12,] -0.5645276 0.5645276
#> [13,] 0.4351814 -0.4351814
#> [14,] 0.4352535 -0.4352535
#> [15,] 0.4343601 -0.4343601
#> [16,] 0.4360376 -0.4360376
#> [17,] 0.4347907 -0.4347907
#> [18,] -0.5658174 0.5658174
#> [19,] 0.4356775 -0.4356775
#> [20,] -0.5649026 0.5649026
#> [21,] -0.5660672 0.5660672
#> [22,] 0.4356141 -0.4356141
#> [23,] 0.4361478 -0.4361478
#> [24,] 0.4341932 -0.4341932
#> [25,] 0.4359166 -0.4359166
#> [26,] -0.5649423 0.5649423
#> [27,] 0.4351840 -0.4351840
#> [28,] 0.4348061 -0.4348061
#> [29,] 0.4340766 -0.4340766
#> [30,] -0.5643133 0.5643133
#> [31,] -0.5654617 0.5654617
#> [32,] -0.5652941 0.5652941
#> [33,] 0.4352038 -0.4352038
#> [34,] 0.4327973 -0.4327973
#> [35,] 0.4350284 -0.4350284
#> [36,] 0.4353757 -0.4353757
#> [37,] -0.5643768 0.5643768
#> [38,] -0.5656752 0.5656752
#> [39,] -0.5643783 0.5643783
#> [40,] 0.4354125 -0.4354125
#>
#> $L
#> [1] 0.6994684 0.6978994 0.6773803 0.6981346 0.6942997 0.6823171
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5362319