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,] -0.055175018 -0.03135093 -0.04850876 -0.014851325 -0.0009759459
#> [2,] 0.028268351 -0.05419373 -0.08462338 -0.074642696 0.0124270545
#> [3,] -0.034369068 0.05045983 -0.08232787 -0.059883330 0.0109436141
#> [4,] -0.024664785 0.03608901 0.03924247 0.090964684 -0.0337200641
#> [5,] 0.001902517 0.04218142 0.07146539 0.031038701 -0.0720198039
#> [6,] -0.081778266 0.02212069 -0.02765363 0.026683469 -0.0058025491
#> [7,] 0.030933901 -0.07506478 -0.03847159 -0.072863894 0.0843741699
#> [8,] 0.028320616 0.07419910 -0.02345428 -0.005597317 0.0509480469
#> [9,] 0.017353713 -0.06591676 0.07925678 -0.017614915 -0.0193071720
#> [10,] -0.041772298 -0.05586443 -0.09348565 0.026301110 -0.0488875262
#> V14 V15 V16 V17 V18
#> [1,] 0.04504947 -0.048677046 0.011989539 -0.004397862 0.04527716
#> [2,] -0.06561115 -0.002227856 -0.036186600 -0.005591579 0.07069533
#> [3,] 0.07609056 -0.084344476 -0.009133872 -0.076488778 -0.06209025
#> [4,] 0.03862239 0.048476900 -0.064310475 0.048376919 0.06980157
#> [5,] 0.08043943 -0.037366806 0.001447887 0.013136612 0.03922442
#> [6,] 0.10276144 0.042275838 -0.049553639 0.065381486 -0.03370657
#> [7,] 0.08292976 -0.053224165 0.078370992 -0.001892677 0.04153628
#> [8,] 0.01264230 0.012462585 -0.068625241 0.081249849 -0.04490445
#> [9,] 0.03898408 -0.100120979 -0.077620068 0.014027176 -0.09458756
#> [10,] 0.05520611 -0.028974716 -0.016193334 0.018713161 0.04192567
#> V19 V2 V20 V21 V22
#> [1,] 0.032830440 -0.060785363 -0.06993131 0.041102115 -0.002546505
#> [2,] -0.089474007 -0.094829740 -0.06358562 -0.004427327 -0.017323021
#> [3,] -0.067117433 -0.021456161 -0.07320638 -0.004096974 -0.005669639
#> [4,] 0.077289059 0.096991499 0.08551319 0.014270074 0.091196780
#> [5,] 0.036718546 -0.017301595 -0.09270951 0.086830939 0.073249874
#> [6,] 0.040778465 0.003210781 0.07463913 0.056710108 0.039329159
#> [7,] -0.005811664 -0.044106177 -0.08254315 0.072085284 -0.016252904
#> [8,] 0.068076514 -0.043796544 -0.02801717 0.089072818 0.095308647
#> [9,] 0.043748186 0.063830681 -0.08985089 0.018510586 -0.080938086
#> [10,] -0.061165864 0.060950682 -0.05627736 -0.053421581 0.017585459
#> V23 V24 V25 V26 V27
#> [1,] 0.039629572 0.04093882 0.047843455 0.061971795 -0.046349165
#> [2,] -0.088427613 0.01922582 -0.023300609 -0.059601217 -0.082938099
#> [3,] 0.003083187 -0.03264079 0.067684758 0.003418123 0.088371260
#> [4,] -0.076635587 0.02313382 0.004276692 0.029594277 -0.077465324
#> [5,] 0.000343796 -0.08295497 -0.001386576 0.016602137 0.089517968
#> [6,] 0.036455052 -0.01434367 0.031849158 -0.043197473 0.030975448
#> [7,] -0.049602884 0.05805164 -0.072110933 0.023566690 0.067660578
#> [8,] -0.060109546 0.03470258 0.056249334 0.052408131 0.075276765
#> [9,] 0.091604517 -0.08145104 0.042905383 0.061506707 -0.027341250
#> [10,] -0.024432078 -0.09558112 -0.072802250 -0.037271268 -0.002746357
#> V28 V29 V3 V30 V31 V32
#> [1,] 0.04983908 0.05440433 0.04706343 -0.02511544 -0.062320211 0.019446188
#> [2,] -0.01049805 -0.02429770 -0.05580782 -0.09540194 0.026497805 0.032363087
#> [3,] 0.06704515 -0.08162730 0.09014936 0.02057327 -0.073193217 -0.025235880
#> [4,] -0.03989356 0.06510232 -0.07758582 -0.06825080 -0.025269998 0.040905725
#> [5,] -0.04498961 -0.09525861 0.09407113 0.08256238 -0.095045499 0.010754922
#> [6,] -0.02544077 0.07705059 -0.06013478 0.02353029 -0.025683063 0.073660043
#> [7,] 0.08637086 -0.08020970 -0.01322409 -0.07193905 -0.008939574 0.066902288
#> [8,] 0.01294768 0.03164482 -0.06701013 0.03441664 0.022642216 0.052350284
#> [9,] 0.04767025 -0.05341799 -0.02405610 0.06644136 -0.037912618 0.003642374
#> [10,] 0.03008545 0.08655833 0.07423230 -0.09951286 -0.098096939 0.069991905
#> V33 V34 V35 V36 V37
#> [1,] -0.096261175 -0.095705910 0.084008089 0.058827905 0.08596385
#> [2,] -0.006721197 0.094745956 -0.033312662 -0.008336000 0.06297781
#> [3,] 0.078101562 0.056630542 -0.057226299 0.091681885 -0.05923217
#> [4,] -0.018948213 0.054859261 0.060657693 -0.099332049 -0.06207983
#> [5,] 0.076547795 -0.066222966 -0.009379782 -0.060934347 -0.03545659
#> [6,] 0.088105167 0.068557642 -0.073233971 0.015304954 -0.10268193
#> [7,] -0.083861747 -0.009315148 0.081554331 0.002971885 0.05893782
#> [8,] 0.022801448 0.055353111 0.016309802 -0.075568275 -0.08430530
#> [9,] -0.041549130 0.055232319 0.081431766 -0.093542456 0.09714518
#> [10,] 0.017186431 -0.029696844 -0.079824691 -0.035031883 0.07808056
#> V38 V39 V4 V40 V41
#> [1,] 0.038379634 0.06369333 -0.019734939 -0.070275450 0.013363880
#> [2,] -0.004711614 0.07336554 -0.097838555 0.045993202 0.010380442
#> [3,] 0.077111002 0.01736413 0.015176746 0.045057113 0.044160872
#> [4,] -0.079733065 0.09195650 0.096562617 -0.027735419 -0.090737386
#> [5,] -0.097781609 0.02615406 -0.021705936 -0.051651461 0.014330058
#> [6,] -0.086282836 -0.05010007 0.069520940 -0.075778708 -0.006454118
#> [7,] 0.024649821 0.09365377 -0.005786914 -0.071458649 -0.094444665
#> [8,] 0.070186596 -0.05190362 -0.048678239 -0.009616274 0.026476736
#> [9,] 0.015161438 -0.04652052 0.067933150 0.072162964 0.024541724
#> [10,] -0.001140108 0.05958258 -0.087621473 -0.012958315 0.019339590
#> V42 V43 V44 V45 V46
#> [1,] 0.0848890250 -0.06196393 0.03231862 0.06900153 0.03144128
#> [2,] -0.0589990269 -0.06454051 0.05305025 0.07252650 -0.08102791
#> [3,] -0.0004071024 0.01306367 0.07735414 -0.08309444 -0.10122114
#> [4,] 0.0034727697 -0.02737981 -0.08707777 0.10334457 0.10160390
#> [5,] -0.0009411852 -0.09802788 0.03911800 0.06749032 -0.04310320
#> [6,] 0.0790439003 -0.05278596 0.02386496 0.05342591 0.06827478
#> [7,] 0.0511047106 0.03520337 -0.06873358 -0.08945393 0.04289664
#> [8,] -0.0129240814 0.01681799 -0.09024896 -0.02626883 -0.05468210
#> [9,] 0.0786789609 0.07418805 -0.05671491 -0.05724644 -0.02642231
#> [10,] 0.0169414212 0.06297436 -0.05394143 -0.03801680 0.01731203
#> V47 V48 V49 V5 V50
#> [1,] -0.060872785 0.093902415 0.02730362 0.07654347 0.025513606
#> [2,] 0.077295115 -0.015519835 0.00298032 0.03680226 0.002984768
#> [3,] -0.054203228 -0.069891519 0.08805733 -0.01768639 -0.073411557
#> [4,] 0.007814239 -0.047493063 0.08123916 0.05326679 -0.068233775
#> [5,] -0.016144096 -0.058122382 0.05897516 -0.08458677 -0.012900602
#> [6,] 0.097660363 -0.005379695 0.04191407 0.08813357 0.074579391
#> [7,] -0.049013297 -0.047079375 0.06525791 0.01239001 0.022418262
#> [8,] 0.003294521 0.061559428 0.09587026 0.06557662 0.042974745
#> [9,] -0.005392809 0.037770290 0.06027059 -0.09817152 0.074736715
#> [10,] 0.080930091 0.086799664 0.02925678 -0.06083242 0.084012806
#> V51 V52 V53 V54 V55
#> [1,] -0.082999724 0.06852845 0.083765358 -0.062405788 -0.02331543
#> [2,] 0.025557608 0.08755683 0.096678741 -0.067196184 -0.02250848
#> [3,] 0.023065795 0.03158573 -0.085313621 0.001484280 -0.05222416
#> [4,] 0.071147980 0.08468013 -0.057778269 0.086294629 0.03551606
#> [5,] 0.060944666 0.04131486 0.069236664 0.002690692 -0.07863485
#> [6,] 0.027613684 -0.02079576 0.090612193 0.055385005 0.03251922
#> [7,] 0.093480858 -0.04343076 0.061925533 -0.051697305 0.04316366
#> [8,] 0.005937186 0.06392568 -0.006418863 -0.081802145 -0.05655595
#> [9,] 0.032664922 0.04937777 -0.002010730 0.048348377 -0.05630655
#> [10,] 0.092505281 0.02180174 -0.002425143 0.032686997 -0.03061536
#> V56 V57 V58 V59 V6
#> [1,] 0.038496403 0.06924778 -0.09257817 -0.07888844 -0.0681285371
#> [2,] -0.008721423 -0.07859894 0.03949134 -0.06543866 0.0634051440
#> [3,] -0.056010839 -0.01135523 0.09822875 0.01314071 0.0541465626
#> [4,] -0.077530575 -0.01544259 0.01281777 0.05600890 -0.0332485897
#> [5,] 0.074517770 0.02254750 -0.06657155 -0.08850613 -0.0385614963
#> [6,] 0.090387466 -0.03573725 -0.09304929 0.04201723 0.0625060487
#> [7,] 0.006183792 -0.06509897 0.03133698 0.07559492 0.0748078221
#> [8,] -0.096490552 0.04579317 0.06508175 0.06287013 -0.0506351567
#> [9,] 0.003062363 -0.05747746 -0.01728834 0.01128494 0.0848113425
#> [10,] 0.061451974 0.02991459 0.05400275 0.07641987 0.0000500305
#> V60 V7 V8 V9
#> [1,] -0.020574033 0.0735775730 0.053512047 -0.01908064
#> [2,] -0.029926077 0.0680305250 0.086570399 -0.08787853
#> [3,] 0.094733207 -0.0780934806 -0.090212038 -0.04158208
#> [4,] -0.088135012 -0.0009329204 0.073607523 -0.03890238
#> [5,] 0.080028390 -0.0431232847 -0.027848565 -0.09674888
#> [6,] 0.007763528 -0.0950982355 -0.096366969 -0.09402786
#> [7,] 0.090927280 0.0750046638 0.042570249 0.02808393
#> [8,] -0.055644663 0.0839612260 -0.001869898 0.09167657
#> [9,] 0.041794441 0.0471877203 0.071667761 0.07649116
#> [10,] 0.088087209 0.0758994109 -0.040176640 -0.07805443
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.02161740 0.002435647 -0.03396989 0.04353939 -0.061860917 0.13231964
#> [2,] -0.01798286 0.033783763 0.04611955 -0.12139853 -0.007502017 -0.04945416
#> [,7] [,8] [,9] [,10]
#> [1,] 0.08587894 0.096006154 0.05843766 0.06864199
#> [2,] 0.07485779 -0.004598647 0.06565465 0.04533721
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] -4.249565e-05 -2.634866e-04 -3.477006e-04 -3.260647e-04 -2.297091e-04
#> [2,] 1.066326e-05 5.810504e-05 7.350675e-05 6.960691e-05 5.015522e-05
#> [3,] 9.649672e-05 6.017732e-04 7.799763e-04 7.485004e-04 5.812350e-04
#> [4,] -1.793479e-04 -1.119631e-03 -1.469128e-03 -1.398597e-03 -1.031593e-03
#> [5,] 1.036340e-04 6.609079e-04 8.561610e-04 8.287956e-04 6.657245e-04
#> [6,] -2.072728e-04 -1.303738e-03 -1.704551e-03 -1.618239e-03 -1.197917e-03
#> [7,] -1.342699e-05 -8.370330e-05 -1.133000e-04 -1.039898e-04 -6.444352e-05
#> [8,] -1.012823e-04 -6.199509e-04 -8.173434e-04 -7.713055e-04 -5.557772e-04
#> [9,] 1.539923e-05 9.710840e-05 1.217970e-04 1.207017e-04 1.073601e-04
#> [10,] -4.016890e-05 -2.529101e-04 -3.334100e-04 -3.160461e-04 -2.317235e-04
#> V14 V15 V16 V17 V18
#> [1,] -1.644880e-04 -4.890065e-05 1.058162e-04 2.125868e-04 1.478927e-04
#> [2,] 3.985971e-05 4.002221e-05 2.452266e-05 -1.655566e-05 -2.213937e-05
#> [3,] 4.531261e-04 2.237114e-04 -4.432953e-05 -2.046421e-04 -6.631505e-05
#> [4,] -7.643638e-04 -3.018264e-04 2.794665e-04 6.572390e-04 3.928163e-04
#> [5,] 5.286921e-04 2.529207e-04 -3.206769e-05 -1.411524e-04 3.787983e-05
#> [6,] -8.931816e-04 -3.549327e-04 3.152450e-04 7.379953e-04 4.185319e-04
#> [7,] -3.910055e-05 6.514770e-06 7.145312e-05 1.177492e-04 9.337308e-05
#> [8,] -4.067316e-04 -1.483400e-04 1.901346e-04 4.223054e-04 2.790362e-04
#> [9,] 9.243271e-05 6.315709e-05 4.066800e-05 3.803964e-05 5.846331e-05
#> [10,] -1.695111e-04 -5.117362e-05 9.171008e-05 1.712446e-04 1.016696e-04
#> V19 V2 V20 V21 V22
#> [1,] -1.282373e-04 -6.043278e-05 -4.694673e-04 -0.0004535826 -2.772205e-04
#> [2,] 2.012163e-05 1.181522e-05 9.589044e-05 0.0000791870 5.349004e-05
#> [3,] 4.963531e-04 1.356447e-04 1.164010e-03 0.0011438673 8.062370e-04
#> [4,] -7.195788e-04 -2.543758e-04 -2.075896e-03 -0.0020077478 -1.313874e-03
#> [5,] 6.551489e-04 1.505469e-04 1.334956e-03 0.0013423875 9.764717e-04
#> [6,] -8.687366e-04 -2.944764e-04 -2.432756e-03 -0.0023608208 -1.547522e-03
#> [7,] -7.867602e-06 -1.972306e-05 -1.363734e-04 -0.0001276996 -5.970753e-05
#> [8,] -3.531212e-04 -1.430466e-04 -1.141830e-03 -0.0010981927 -6.940157e-04
#> [9,] 1.316872e-04 2.133578e-05 2.082679e-04 0.0002110367 1.726581e-04
#> [10,] -1.610443e-04 -5.855960e-05 -4.710393e-04 -0.0004624433 -2.976811e-04
#> V23 V24 V25 V26 V27
#> [1,] -1.509130e-04 -1.077192e-04 -5.347995e-05 3.166400e-05 -3.168200e-05
#> [2,] 6.139168e-05 8.231873e-05 7.437802e-05 3.406855e-05 5.023404e-05
#> [3,] 5.503302e-04 4.427101e-04 3.310725e-04 1.956997e-04 3.199319e-04
#> [4,] -8.028473e-04 -6.116415e-04 -3.988444e-04 -9.329245e-05 -3.499680e-04
#> [5,] 6.489650e-04 4.763878e-04 3.530637e-04 2.626804e-04 3.854757e-04
#> [6,] -9.372720e-04 -6.980616e-04 -4.498282e-04 -1.138193e-04 -3.983415e-04
#> [7,] -1.189175e-05 3.005846e-06 2.256949e-05 5.620935e-05 3.206537e-05
#> [8,] -4.032378e-04 -2.974350e-04 -1.740819e-04 1.672694e-05 -1.278740e-04
#> [9,] 1.376016e-04 1.170968e-04 1.014332e-04 9.446728e-05 1.084444e-04
#> [10,] -1.653991e-04 -1.076174e-04 -5.552739e-05 5.316226e-06 -5.203318e-05
#> V28 V29 V3 V30 V31
#> [1,] -1.126852e-04 -1.639179e-05 -4.361255e-05 4.273174e-05 2.743483e-04
#> [2,] 9.512138e-05 9.451479e-05 7.898646e-06 9.074730e-05 3.245112e-05
#> [3,] 4.529062e-04 2.384979e-04 1.070392e-04 9.615001e-05 -3.926377e-04
#> [4,] -6.448041e-04 -2.392565e-04 -1.909020e-04 2.075256e-05 9.760870e-04
#> [5,] 4.646315e-04 1.979881e-04 1.233813e-04 2.378186e-05 -4.814017e-04
#> [6,] -7.153061e-04 -2.374831e-04 -2.227972e-04 5.766452e-05 1.164319e-03
#> [7,] 6.407557e-08 3.359744e-05 -1.285263e-05 5.295075e-05 1.339812e-04
#> [8,] -3.064661e-04 -8.338757e-05 -1.051423e-04 5.167841e-05 5.950808e-04
#> [9,] 1.158810e-04 8.187509e-05 1.937847e-05 5.720950e-05 -9.491458e-06
#> [10,] -1.091702e-04 -8.099785e-06 -4.426010e-05 5.514675e-05 2.692983e-04
#> V32 V33 V34 V35 V36
#> [1,] 2.418932e-04 2.705997e-04 2.095505e-04 3.015613e-04 4.722164e-04
#> [2,] 3.168018e-05 5.044802e-05 1.059766e-04 9.367540e-05 4.331166e-05
#> [3,] -3.469346e-04 -4.197432e-04 -3.407695e-04 -5.300234e-04 -8.413758e-04
#> [4,] 8.616498e-04 9.886954e-04 7.768301e-04 1.160815e-03 1.817734e-03
#> [5,] -4.305911e-04 -5.579169e-04 -5.700191e-04 -7.809610e-04 -1.068439e-03
#> [6,] 1.025689e-03 1.171750e-03 9.492223e-04 1.389551e-03 2.126996e-03
#> [7,] 1.175477e-04 1.264678e-04 9.877074e-05 1.329237e-04 1.991174e-04
#> [8,] 5.194286e-04 5.778088e-04 4.295934e-04 6.417057e-04 1.031316e-03
#> [9,] -9.078950e-06 -2.430428e-05 -3.073375e-05 -5.502226e-05 -8.257369e-05
#> [10,] 2.380782e-04 2.774020e-04 2.468988e-04 3.363231e-04 4.809250e-04
#> V37 V38 V39 V4 V40
#> [1,] 3.826979e-04 1.083893e-04 2.023115e-04 -9.136996e-05 3.441506e-04
#> [2,] 2.969383e-05 6.558327e-05 5.054514e-07 1.456435e-05 -3.553359e-05
#> [3,] -6.433833e-04 -1.060707e-04 -2.492699e-04 2.017011e-04 -5.270582e-04
#> [4,] 1.437228e-03 3.488412e-04 6.872916e-04 -3.813444e-04 1.254254e-03
#> [5,] -7.958838e-04 -2.027568e-04 -2.560441e-04 2.266808e-04 -5.328701e-04
#> [6,] 1.671831e-03 4.172557e-04 7.808119e-04 -4.445441e-04 1.432126e-03
#> [7,] 1.677928e-04 6.404591e-05 1.023928e-04 -3.101395e-05 1.558667e-04
#> [8,] 8.297005e-04 2.078241e-04 4.258217e-04 -2.145311e-04 7.573366e-04
#> [9,] -4.930231e-05 1.485779e-05 1.272004e-05 3.093370e-05 -1.871262e-05
#> [10,] 3.807431e-04 1.207783e-04 1.782734e-04 -8.968296e-05 3.057273e-04
#> V41 V42 V43 V44 V45
#> [1,] 4.795575e-05 -1.486470e-04 -1.300336e-04 -1.089209e-04 -2.468453e-04
#> [2,] 2.763619e-05 5.361125e-05 3.556499e-05 4.546616e-05 6.341763e-05
#> [3,] 1.696158e-05 3.989006e-04 3.550956e-04 2.954283e-04 5.629706e-04
#> [4,] 1.113394e-04 -6.714769e-04 -5.922103e-04 -4.984523e-04 -1.049033e-03
#> [5,] 1.139805e-05 4.292897e-04 4.039241e-04 3.092924e-04 6.038175e-04
#> [6,] 1.419534e-04 -7.548113e-04 -6.780816e-04 -5.647331e-04 -1.197773e-03
#> [7,] 4.008081e-05 -3.542157e-05 -3.079375e-05 -2.543721e-05 -7.808303e-05
#> [8,] 8.999462e-05 -3.571075e-04 -3.136786e-04 -2.668434e-04 -5.844763e-04
#> [9,] 3.435672e-05 7.880651e-05 7.174387e-05 5.845652e-05 8.977373e-05
#> [10,] 4.280663e-05 -1.433712e-04 -1.316585e-04 -1.029666e-04 -2.341052e-04
#> V46 V47 V48 V49 V5
#> [1,] -2.047948e-04 -1.053194e-04 -5.486995e-05 -3.672228e-05 -4.959357e-05
#> [2,] 3.971599e-05 1.342081e-05 4.974331e-06 2.784919e-06 4.469294e-07
#> [3,] 4.694487e-04 2.576953e-04 1.499664e-04 9.636381e-05 1.399765e-04
#> [4,] -8.693801e-04 -4.589862e-04 -2.514248e-04 -1.649917e-04 -2.324398e-04
#> [5,] 5.276615e-04 3.096881e-04 1.890210e-04 1.208138e-04 1.828466e-04
#> [6,] -9.928070e-04 -5.245044e-04 -2.912323e-04 -1.923252e-04 -2.772822e-04
#> [7,] -6.452359e-05 -3.020256e-05 -1.303187e-05 -9.589369e-06 -1.219134e-05
#> [8,] -4.805564e-04 -2.454740e-04 -1.297360e-04 -8.646389e-05 -1.216307e-04
#> [9,] 7.633551e-05 4.681966e-05 3.159662e-05 1.956142e-05 3.016382e-05
#> [10,] -2.000199e-04 -1.082746e-04 -6.004391e-05 -3.990574e-05 -5.738525e-05
#> V50 V51 V52 V53 V54
#> [1,] -9.027698e-06 -2.461817e-05 -2.110760e-05 -7.355727e-06 -1.014942e-05
#> [2,] 3.146342e-06 4.901738e-06 4.785642e-06 2.226041e-06 3.207080e-06
#> [3,] 2.474018e-05 5.330552e-05 4.653167e-05 1.903161e-05 2.392062e-05
#> [4,] -4.107475e-05 -1.013339e-04 -8.811325e-05 -3.262310e-05 -4.336593e-05
#> [5,] 2.729474e-05 5.843343e-05 5.014278e-05 2.083619e-05 2.483225e-05
#> [6,] -4.666542e-05 -1.155295e-04 -1.006631e-04 -3.753902e-05 -4.986194e-05
#> [7,] -1.990048e-06 -8.257354e-06 -7.025685e-06 -1.952420e-06 -3.085397e-06
#> [8,] -2.187997e-05 -5.668280e-05 -4.974410e-05 -1.793849e-05 -2.432312e-05
#> [9,] 5.040553e-06 7.790992e-06 7.007333e-06 3.589208e-06 3.952179e-06
#> [10,] -8.823769e-06 -2.332182e-05 -2.003045e-05 -7.209919e-06 -9.472355e-06
#> V55 V56 V57 V58 V59
#> [1,] -2.829727e-06 -6.015747e-06 3.186166e-06 -3.470442e-06 -2.054795e-06
#> [2,] 9.774666e-07 2.669171e-06 7.650603e-07 1.018469e-06 1.578545e-06
#> [3,] 9.465610e-06 1.457030e-05 -2.572906e-06 1.026271e-05 6.525525e-06
#> [4,] -1.409216e-05 -2.596600e-05 9.741691e-06 -1.612427e-05 -9.815678e-06
#> [5,] 1.112846e-05 1.413359e-05 -3.262590e-06 1.182378e-05 6.034020e-06
#> [6,] -1.670317e-05 -2.953460e-05 1.109305e-05 -1.860571e-05 -1.089512e-05
#> [7,] -3.718844e-07 -1.667404e-06 1.905368e-06 -6.779039e-07 -2.765127e-07
#> [8,] -7.511105e-06 -1.440936e-05 6.058794e-06 -8.408875e-06 -5.212649e-06
#> [9,] 2.283181e-06 2.461416e-06 7.430290e-07 2.283927e-06 1.451775e-06
#> [10,] -3.074950e-06 -5.278455e-06 2.932365e-06 -3.580119e-06 -1.757170e-06
#> V6 V60 V7 V8 V9
#> [1,] -4.643369e-05 -1.627752e-06 -7.140521e-05 -1.455633e-04 -2.610370e-04
#> [2,] 1.594229e-05 1.331407e-06 2.301645e-05 3.746426e-05 6.105563e-05
#> [3,] 1.278090e-04 5.291593e-06 1.749389e-04 3.298532e-04 5.841698e-04
#> [4,] -2.157827e-04 -8.009147e-06 -3.092080e-04 -6.125876e-04 -1.102596e-03
#> [5,] 1.410235e-04 4.851703e-06 1.867656e-04 3.517424e-04 6.285042e-04
#> [6,] -2.450995e-04 -9.049545e-06 -3.557055e-04 -7.086019e-04 -1.278489e-03
#> [7,] -1.080293e-05 -1.884815e-07 -1.951939e-05 -4.581196e-05 -8.522082e-05
#> [8,] -1.144879e-04 -4.220757e-06 -1.685690e-04 -3.400496e-04 -6.154452e-04
#> [9,] 2.541294e-05 1.182302e-06 3.104433e-05 5.282353e-05 9.101556e-05
#> [10,] -4.571302e-05 -1.364150e-06 -6.648088e-05 -1.363535e-04 -2.476019e-04
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] -0.0008763175 0.007379329 0.003576382 -0.006874849 -0.003767786
#> [2,] 0.0008763175 -0.007379329 -0.003576382 0.006874849 0.003767786
#> [,6] [,7] [,8] [,9] [,10]
#> [1,] -0.005539739 0.001053089 -0.004873625 -0.0004076143 0.003338738
#> [2,] 0.005539739 -0.001053089 0.004873625 0.0004076143 -0.003338738
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.09919779 0.09941469 0.09883531 0.09929322 0.09857394 0.09937609
#> [7] 0.09923077 0.09905837 0.09904294 0.09947160
#>
#> $B[[2]]
#> [1] 0.12287043 0.07712957
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 1.044647e-04 8.216947e-05 1.333123e-04 1.495538e-04 1.362248e-04
#> [6] 1.818941e-04 1.024693e-04 1.611050e-04 1.082750e-04 8.830112e-05
#>
#> $vB[[2]]
#> [1] -0.00133479 0.00133479
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0388 0.2718 0.3645 0.3934 0.3843 0.4677 0.5364 0.4823 0.4835 0.5862
#> [2,] 0.0414 0.1975 0.2309 0.3025 0.3938 0.5050 0.5872 0.6610 0.7417 0.8006
#> [3,] 0.0099 0.1882 0.1456 0.1892 0.3176 0.1340 0.2169 0.2458 0.2589 0.2786
#> [4,] 0.0181 0.1045 0.0904 0.0671 0.0997 0.1056 0.0346 0.1231 0.1626 0.3652
#> [5,] 0.0216 0.0866 0.1564 0.0780 0.0997 0.0915 0.0662 0.1134 0.1740 0.2573
#> [6,] 0.0123 0.0475 0.1152 0.0520 0.1192 0.1943 0.1840 0.2077 0.1956 0.1630
#> [7,] 0.0100 0.2990 0.3242 0.3565 0.3951 0.5201 0.6953 0.8468 1.0000 0.9278
#> [8,] 0.0134 0.1250 0.2405 0.2325 0.2523 0.1472 0.0669 0.1100 0.2353 0.3282
#> [9,] 0.0311 0.0767 0.1767 0.2555 0.2812 0.2722 0.3227 0.3463 0.5395 0.7911
#> [10,] 0.0162 0.1779 0.2164 0.2568 0.3089 0.3829 0.4393 0.5335 0.5996 0.6728
#> [11,] 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> [12,] 0.0378 0.2053 0.3135 0.3118 0.3686 0.3885 0.5850 0.7868 0.9739 1.0000
#> [13,] 0.1021 0.1369 0.2509 0.2631 0.2796 0.2977 0.3823 0.3129 0.3956 0.2093
#> [14,] 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> [15,] 0.0721 0.0795 0.2534 0.3920 0.3375 0.1610 0.1889 0.3308 0.2282 0.2177
#> [16,] 0.0124 0.2120 0.1640 0.1901 0.3026 0.2019 0.0592 0.2390 0.3657 0.3809
#> [17,] 0.0084 0.1753 0.1970 0.1167 0.1683 0.0814 0.2179 0.5121 0.7231 0.7776
#> [18,] 0.0856 0.2751 0.2707 0.0946 0.1020 0.4519 0.6737 0.6699 0.7066 0.5632
#> [19,] 0.0260 0.2354 0.2720 0.2442 0.1665 0.0336 0.1302 0.1708 0.2177 0.3175
#> [20,] 0.1083 0.5966 0.5304 0.2251 0.2402 0.2689 0.6646 0.6632 0.1674 0.0837
#> [21,] 0.0156 0.1567 0.2476 0.2783 0.2896 0.2956 0.3189 0.1892 0.1730 0.2226
#> [22,] 0.0135 0.1908 0.1576 0.1112 0.1197 0.1174 0.1415 0.2215 0.2658 0.2713
#> [23,] 0.0207 0.1234 0.1796 0.1787 0.1247 0.2577 0.3370 0.3990 0.1647 0.2266
#> [24,] 0.0086 0.1185 0.0775 0.1101 0.1042 0.0853 0.0456 0.1304 0.2690 0.2947
#> [25,] 0.0090 0.1895 0.1896 0.2547 0.4073 0.2988 0.2901 0.5326 0.4022 0.1571
#> [26,] 0.0516 0.1294 0.2646 0.2778 0.4432 0.3672 0.2035 0.2764 0.3252 0.1536
#> [27,] 0.0272 0.3997 0.3941 0.3309 0.2926 0.1760 0.1739 0.2043 0.2088 0.2678
#> [28,] 0.0428 0.0113 0.1255 0.2473 0.3011 0.3747 0.4520 0.5392 0.6588 0.7113
#> [29,] 0.0231 0.0347 0.0575 0.1382 0.2274 0.4038 0.5223 0.6847 0.7521 0.7760
#> [30,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [31,] 0.0233 0.2078 0.1239 0.0236 0.1771 0.3115 0.4990 0.6707 0.7655 0.8485
#> [32,] 0.0094 0.5079 0.3350 0.0834 0.3004 0.3957 0.3769 0.3828 0.1247 0.1363
#> [33,] 0.0249 0.2531 0.2855 0.2961 0.3341 0.4287 0.5205 0.6087 0.7236 0.7577
#> [34,] 0.0056 0.1859 0.2481 0.2712 0.2934 0.2637 0.1880 0.1405 0.2028 0.2613
#> [35,] 0.0107 0.2936 0.3104 0.3431 0.2456 0.1887 0.1184 0.2080 0.2736 0.3274
#> [36,] 0.0307 0.2792 0.3877 0.4992 0.4981 0.4972 0.5607 0.7339 0.8230 0.9173
#> [37,] 0.0373 0.0802 0.1564 0.2565 0.2624 0.1179 0.0597 0.1563 0.2241 0.3586
#> [38,] 0.0635 0.3900 0.4674 0.5632 0.5506 0.4343 0.3052 0.3492 0.3975 0.3875
#> [39,] 0.0392 0.2471 0.2680 0.3049 0.2863 0.2294 0.1165 0.2127 0.2062 0.2222
#> [40,] 0.0286 0.3039 0.2988 0.4250 0.6343 0.8198 1.0000 0.9988 0.9508 0.9025
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.7579 0.0324 0.6997 0.6918 0.8633 0.9107 0.9346 0.7884 0.8585 0.9261
#> [2,] 0.8456 0.0436 0.7939 0.8804 0.8384 0.7852 0.8479 0.7434 0.6433 0.5514
#> [3,] 0.2298 0.0484 0.0656 0.1441 0.1179 0.1668 0.1783 0.2476 0.2570 0.1036
#> [4,] 0.3262 0.0146 0.2995 0.2109 0.2104 0.2085 0.2282 0.0747 0.1969 0.4086
#> [5,] 0.3294 0.0124 0.3910 0.5438 0.6115 0.7022 0.7610 0.7973 0.9105 0.8807
#> [6,] 0.1218 0.0022 0.1017 0.1354 0.3157 0.4645 0.5906 0.6776 0.8119 0.8594
#> [7,] 0.8510 0.0194 0.8010 0.8142 0.8825 0.7302 0.6107 0.7159 0.8458 0.6319
#> [8,] 0.4416 0.0172 0.5167 0.6508 0.7793 0.7978 0.7786 0.8587 0.9321 0.9454
#> [9,] 0.9064 0.0491 0.8701 0.7672 0.2957 0.4148 0.6043 0.3178 0.3482 0.6158
#> [10,] 0.7309 0.0041 0.8092 0.8941 0.9668 1.0000 0.9893 0.9376 0.8991 0.9184
#> [11,] 0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> [12,] 0.9843 0.0318 0.8610 0.8443 0.9061 0.5847 0.4033 0.5946 0.6793 0.6389
#> [13,] 0.3218 0.0830 0.3345 0.3184 0.2887 0.3610 0.2566 0.4106 0.4591 0.4722
#> [14,] 0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> [15,] 0.1853 0.1574 0.5167 0.5342 0.6298 0.8437 0.6756 0.5825 0.6141 0.8809
#> [16,] 0.5929 0.0433 0.6299 0.5801 0.4574 0.4449 0.3691 0.6446 0.8940 0.8978
#> [17,] 0.6222 0.0153 0.3501 0.3733 0.2622 0.3776 0.7361 0.8673 0.8223 0.7772
#> [18,] 0.3785 0.0454 0.2721 0.5297 0.7697 0.8643 0.9304 0.9372 0.6247 0.6024
#> [19,] 0.3714 0.0363 0.4552 0.5700 0.7397 0.8062 0.8837 0.9432 1.0000 0.9375
#> [20,] 0.4331 0.1070 0.8718 0.7992 0.3712 0.1703 0.1611 0.2086 0.2847 0.2211
#> [21,] 0.2427 0.0210 0.3149 0.4102 0.3808 0.4896 0.6292 0.7519 0.7985 0.8830
#> [22,] 0.3862 0.0045 0.5717 0.6797 0.8747 1.0000 0.8948 0.8420 0.9174 0.9307
#> [23,] 0.3219 0.0535 0.5356 0.8159 1.0000 0.8701 0.6889 0.6299 0.5738 0.5707
#> [24,] 0.3669 0.0215 0.4948 0.6275 0.8162 0.9237 0.8710 0.8052 0.8756 1.0000
#> [25,] 0.3024 0.0062 0.3907 0.3542 0.4438 0.6414 0.4601 0.6009 0.8690 0.8345
#> [26,] 0.2784 0.0944 0.3508 0.5187 0.7052 0.7143 0.6814 0.5100 0.5308 0.6131
#> [27,] 0.2434 0.0378 0.1839 0.2802 0.6172 0.8015 0.8313 0.8440 0.8494 0.9168
#> [28,] 0.7602 0.0555 0.8672 0.8416 0.7974 0.8385 0.9317 0.8555 0.6162 0.4139
#> [29,] 0.7708 0.0351 0.8627 1.0000 0.8873 0.8057 0.8760 0.9066 0.9430 0.8846
#> [30,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [31,] 0.9805 0.0394 1.0000 1.0000 0.9992 0.9067 0.6803 0.5103 0.4716 0.4980
#> [32,] 0.2678 0.0611 0.9188 0.9779 0.3236 0.1944 0.1874 0.0885 0.3443 0.2953
#> [33,] 0.7726 0.0119 0.8098 0.8995 0.9247 0.9365 0.9853 0.9776 1.0000 0.9896
#> [34,] 0.2778 0.0267 0.3346 0.3830 0.4003 0.5114 0.6860 0.7490 0.7843 0.9021
#> [35,] 0.2344 0.0453 0.1260 0.0576 0.1241 0.3239 0.4357 0.5734 0.7825 0.9252
#> [36,] 0.9975 0.0523 0.9911 0.8240 0.6498 0.5980 0.4862 0.3150 0.1543 0.0989
#> [37,] 0.1792 0.0281 0.3256 0.6079 0.6988 0.8391 0.8553 0.7710 0.6215 0.5736
#> [38,] 0.5280 0.0709 0.7198 0.7702 0.8562 0.8688 0.9236 1.0000 0.9662 0.9822
#> [39,] 0.3241 0.0108 0.4330 0.5071 0.5944 0.7078 0.7641 0.8878 0.9711 0.9880
#> [40,] 0.7234 0.0453 0.5122 0.2074 0.3985 0.5890 0.2872 0.2043 0.5782 0.5389
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.7080 0.5779 0.0688 0.5215 0.4505 0.3129 0.1448 0.1046 0.1820 0.1519
#> [2,] 0.3519 0.3168 0.0447 0.3346 0.2056 0.1032 0.3168 0.4040 0.4282 0.4538
#> [3,] 0.5356 0.7124 0.0299 0.6291 0.4756 0.6015 0.7208 0.6234 0.5725 0.7523
#> [4,] 0.6385 0.7970 0.0026 0.7508 0.5517 0.2214 0.4672 0.4479 0.2297 0.3235
#> [5,] 0.7949 0.7990 0.0174 0.7180 0.6407 0.6312 0.5929 0.6168 0.6498 0.6764
#> [6,] 0.9228 0.8387 0.0196 0.7238 0.6292 0.5181 0.4629 0.5255 0.5147 0.3929
#> [7,] 0.4808 0.6291 0.0155 0.7152 0.6005 0.4235 0.4106 0.3992 0.1730 0.1975
#> [8,] 0.8645 0.7220 0.0178 0.4850 0.1357 0.2951 0.4715 0.6036 0.8083 0.9870
#> [9,] 0.8049 0.6289 0.0692 0.4999 0.5830 0.6660 0.4124 0.1260 0.2487 0.4676
#> [10,] 0.9128 0.7811 0.0239 0.6018 0.3765 0.3300 0.2280 0.0212 0.1117 0.1788
#> [11,] 0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> [12,] 0.5002 0.5578 0.0423 0.4831 0.4729 0.3318 0.3969 0.3894 0.2314 0.1036
#> [13,] 0.7278 0.7591 0.0577 0.6579 0.7514 0.6666 0.4903 0.5962 0.6552 0.4014
#> [14,] 0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> [15,] 0.8375 0.3869 0.1112 0.5051 0.5455 0.4241 0.1534 0.4950 0.6983 0.7109
#> [16,] 0.4980 0.3333 0.0604 0.2350 0.1553 0.3666 0.4340 0.3082 0.3024 0.4109
#> [17,] 0.7862 0.5652 0.0291 0.3635 0.3534 0.3865 0.3370 0.1693 0.2627 0.3195
#> [18,] 0.6810 0.5047 0.0382 0.5775 0.4754 0.2400 0.2779 0.1997 0.5305 0.7409
#> [19,] 0.7603 0.7123 0.0136 0.8358 0.7622 0.4567 0.1715 0.1549 0.1641 0.1869
#> [20,] 0.6134 0.5807 0.0257 0.6925 0.3825 0.4303 0.7791 0.8703 1.0000 0.9212
#> [21,] 0.9915 0.9223 0.0282 0.6981 0.6167 0.5069 0.3921 0.3524 0.2183 0.1245
#> [22,] 0.9050 0.8228 0.0051 0.6986 0.5831 0.4924 0.4563 0.5159 0.5670 0.5284
#> [23,] 0.5976 0.4301 0.0334 0.2058 0.1000 0.2247 0.2308 0.3977 0.3317 0.1726
#> [24,] 0.9858 0.9427 0.0242 0.8114 0.6987 0.6810 0.6591 0.6954 0.7290 0.6680
#> [25,] 0.7669 0.5081 0.0253 0.4620 0.5380 0.5375 0.3844 0.3601 0.7402 0.7761
#> [26,] 0.8388 0.9031 0.0622 0.8607 0.9656 0.9168 0.7132 0.6898 0.7310 0.4134
#> [27,] 1.0000 0.7896 0.0488 0.5371 0.6472 0.6505 0.4959 0.2175 0.0990 0.0434
#> [28,] 0.3269 0.3108 0.0708 0.2554 0.3367 0.4465 0.5000 0.5111 0.5194 0.4619
#> [29,] 0.6500 0.2970 0.0030 0.2423 0.2992 0.2285 0.2277 0.1529 0.1037 0.0352
#> [30,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [31,] 0.6196 0.7171 0.0416 0.6316 0.3554 0.2897 0.4316 0.3791 0.2421 0.0944
#> [32,] 0.5908 0.4564 0.1136 0.7334 0.1969 0.2790 0.6212 0.8681 0.8621 0.9380
#> [33,] 0.9076 0.7306 0.0277 0.5758 0.4469 0.3719 0.2079 0.0955 0.0488 0.1406
#> [34,] 1.0000 0.8888 0.0221 0.6511 0.6083 0.4463 0.2948 0.1729 0.1488 0.0801
#> [35,] 0.9349 0.9348 0.0289 1.0000 0.9308 0.8478 0.7605 0.7040 0.7539 0.7990
#> [36,] 0.0284 0.1008 0.0653 0.2636 0.2694 0.2930 0.2925 0.3998 0.3660 0.3172
#> [37,] 0.4402 0.4056 0.0232 0.4411 0.5130 0.5965 0.7272 0.6539 0.5902 0.5393
#> [38,] 0.7360 0.4158 0.0453 0.2918 0.3280 0.3690 0.3450 0.2863 0.0864 0.3724
#> [39,] 0.9812 0.9464 0.0267 0.8542 0.6457 0.3397 0.3828 0.3204 0.1331 0.0440
#> [40,] 0.3750 0.3411 0.0277 0.5067 0.5580 0.4778 0.3299 0.2198 0.1407 0.2856
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.1017 0.1438 0.1986 0.0898 0.2039 0.2778 0.2879 0.1331 0.1140 0.1310
#> [2,] 0.3704 0.3741 0.3839 0.0844 0.3494 0.4380 0.4265 0.2854 0.2808 0.2395
#> [3,] 0.8712 0.9252 0.9709 0.0297 0.9297 0.8995 0.7911 0.5600 0.2838 0.4407
#> [4,] 0.4480 0.5581 0.6520 0.0141 0.5354 0.2478 0.2268 0.1788 0.0898 0.0536
#> [5,] 0.6253 0.5117 0.3890 0.0152 0.3273 0.2509 0.1530 0.1323 0.1657 0.1215
#> [6,] 0.1279 0.0411 0.0859 0.0206 0.1131 0.1306 0.1757 0.2648 0.1955 0.0656
#> [7,] 0.2370 0.1339 0.1583 0.0489 0.3151 0.1968 0.2054 0.1272 0.1129 0.1946
#> [8,] 0.8800 0.6411 0.4276 0.0363 0.2702 0.2642 0.3342 0.4335 0.4542 0.3960
#> [9,] 0.5382 0.3150 0.2139 0.0831 0.1848 0.1679 0.2328 0.1015 0.0713 0.0615
#> [10,] 0.2373 0.2843 0.2241 0.0441 0.2715 0.3363 0.2546 0.1867 0.2160 0.1278
#> [11,] 0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> [12,] 0.1312 0.0864 0.2569 0.0350 0.3179 0.2649 0.2714 0.1713 0.0584 0.1230
#> [13,] 0.1188 0.3245 0.3107 0.0627 0.1354 0.5109 0.7988 0.7517 0.5508 0.5858
#> [14,] 0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> [15,] 0.5647 0.4870 0.5515 0.1085 0.4433 0.5250 0.6075 0.5251 0.1359 0.4268
#> [16,] 0.5501 0.4129 0.5499 0.0449 0.5018 0.3132 0.2802 0.2351 0.2298 0.1155
#> [17,] 0.1388 0.1048 0.1681 0.0432 0.1910 0.1174 0.0933 0.0856 0.0951 0.0986
#> [18,] 0.7775 0.4424 0.1416 0.0203 0.3508 0.4482 0.4208 0.3054 0.2235 0.2611
#> [19,] 0.2655 0.1713 0.0959 0.0272 0.0768 0.0847 0.2076 0.2505 0.1862 0.1439
#> [20,] 0.9386 0.9303 0.7314 0.0837 0.4791 0.2087 0.2016 0.1669 0.2872 0.4374
#> [21,] 0.1592 0.1626 0.2356 0.0596 0.2483 0.2437 0.2715 0.1184 0.1157 0.1449
#> [22,] 0.5144 0.3742 0.2282 0.0289 0.1193 0.1088 0.0431 0.1070 0.0583 0.0046
#> [23,] 0.1429 0.2168 0.1967 0.0818 0.2140 0.3674 0.2023 0.0778 0.0925 0.2388
#> [24,] 0.5917 0.4899 0.3439 0.0445 0.2366 0.1716 0.1013 0.0766 0.0845 0.0260
#> [25,] 0.3858 0.0667 0.3684 0.0489 0.6114 0.3510 0.2312 0.2195 0.3051 0.1937
#> [26,] 0.1580 0.1819 0.1381 0.0415 0.2960 0.6935 0.8246 0.5351 0.4403 0.6448
#> [27,] 0.1708 0.1979 0.1880 0.0848 0.1108 0.1702 0.0585 0.0638 0.1391 0.0638
#> [28,] 0.4234 0.4372 0.4277 0.0618 0.4433 0.3700 0.3324 0.2564 0.2527 0.2137
#> [29,] 0.1073 0.1373 0.1331 0.0304 0.1454 0.1115 0.0440 0.0762 0.1381 0.0831
#> [30,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [31,] 0.0351 0.0844 0.0436 0.0547 0.1130 0.2045 0.1937 0.0834 0.1502 0.1675
#> [32,] 0.8327 0.9480 0.6721 0.1203 0.4436 0.5163 0.3809 0.1557 0.1449 0.2662
#> [33,] 0.2554 0.2054 0.1614 0.0760 0.2232 0.1773 0.2293 0.2521 0.1464 0.0673
#> [34,] 0.1770 0.1382 0.2404 0.0561 0.2046 0.1970 0.2778 0.1377 0.0685 0.0664
#> [35,] 0.7673 0.5955 0.4731 0.0713 0.4840 0.4340 0.3954 0.4837 0.5379 0.4485
#> [36,] 0.4609 0.4374 0.1820 0.0521 0.3376 0.6202 0.4448 0.1863 0.1420 0.0589
#> [37,] 0.4897 0.4081 0.4145 0.0225 0.6003 0.7196 0.6633 0.6287 0.4087 0.3212
#> [38,] 0.4649 0.3488 0.1817 0.0333 0.1142 0.1220 0.2621 0.4461 0.4726 0.3263
#> [39,] 0.1234 0.2030 0.1652 0.0257 0.1043 0.1066 0.2110 0.2417 0.1631 0.0769
#> [40,] 0.3807 0.4158 0.4054 0.0174 0.3296 0.2707 0.2650 0.0723 0.1238 0.1192
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.1433 0.0624 0.0100 0.0098 0.1267 0.0131 0.0152 0.0255 0.0071 0.0263
#> [2,] 0.0369 0.0805 0.0541 0.0177 0.0419 0.0065 0.0222 0.0045 0.0136 0.0113
#> [3,] 0.5507 0.4331 0.2905 0.1981 0.0652 0.0779 0.0396 0.0173 0.0149 0.0115
#> [4,] 0.0374 0.0990 0.0956 0.0317 0.0421 0.0142 0.0076 0.0223 0.0255 0.0145
#> [5,] 0.0978 0.0452 0.0273 0.0179 0.0608 0.0092 0.0018 0.0052 0.0049 0.0096
#> [6,] 0.0580 0.0319 0.0301 0.0272 0.0180 0.0074 0.0149 0.0125 0.0134 0.0026
#> [7,] 0.2195 0.1930 0.1498 0.0773 0.0839 0.0196 0.0122 0.0130 0.0073 0.0077
#> [8,] 0.2525 0.1084 0.0372 0.0286 0.0444 0.0099 0.0046 0.0094 0.0048 0.0047
#> [9,] 0.0779 0.0761 0.0845 0.0592 0.0079 0.0068 0.0089 0.0087 0.0032 0.0130
#> [10,] 0.0768 0.1070 0.0946 0.0636 0.0630 0.0227 0.0128 0.0173 0.0135 0.0114
#> [11,] 0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> [12,] 0.2200 0.2198 0.1074 0.0423 0.1787 0.0162 0.0093 0.0046 0.0044 0.0078
#> [13,] 0.7292 0.5522 0.3339 0.1608 0.0635 0.0475 0.1004 0.0709 0.0317 0.0309
#> [14,] 0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> [15,] 0.4442 0.2193 0.0900 0.1200 0.0666 0.0628 0.0234 0.0309 0.0127 0.0082
#> [16,] 0.0724 0.0621 0.0318 0.0450 0.0597 0.0167 0.0078 0.0083 0.0057 0.0174
#> [17,] 0.0956 0.0426 0.0407 0.0106 0.0951 0.0179 0.0056 0.0236 0.0114 0.0136
#> [18,] 0.2798 0.2392 0.2021 0.1326 0.0385 0.0358 0.0128 0.0172 0.0138 0.0079
#> [19,] 0.1470 0.0991 0.0041 0.0154 0.0214 0.0116 0.0181 0.0146 0.0129 0.0047
#> [20,] 0.3097 0.1578 0.0553 0.0334 0.0748 0.0209 0.0172 0.0180 0.0110 0.0234
#> [21,] 0.1883 0.1954 0.1492 0.0511 0.0462 0.0155 0.0189 0.0150 0.0060 0.0082
#> [22,] 0.0473 0.0408 0.0290 0.0192 0.0561 0.0094 0.0025 0.0037 0.0084 0.0102
#> [23,] 0.3400 0.2594 0.1102 0.0911 0.0740 0.0462 0.0171 0.0033 0.0050 0.0190
#> [24,] 0.0333 0.0205 0.0309 0.0101 0.0667 0.0095 0.0047 0.0072 0.0054 0.0022
#> [25,] 0.1570 0.0479 0.0538 0.0146 0.1197 0.0068 0.0187 0.0059 0.0095 0.0194
#> [26,] 0.6214 0.3016 0.1379 0.0364 0.0995 0.0355 0.0456 0.0432 0.0274 0.0152
#> [27,] 0.0581 0.0641 0.1044 0.0732 0.1127 0.0275 0.0146 0.0091 0.0045 0.0043
#> [28,] 0.1789 0.1010 0.0528 0.0453 0.1215 0.0118 0.0009 0.0142 0.0179 0.0079
#> [29,] 0.0654 0.0844 0.0595 0.0497 0.0339 0.0313 0.0154 0.0106 0.0097 0.0022
#> [30,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [31,] 0.1058 0.1111 0.0849 0.0596 0.0993 0.0201 0.0071 0.0104 0.0062 0.0026
#> [32,] 0.1806 0.1699 0.2559 0.1129 0.0403 0.0201 0.0480 0.0234 0.0175 0.0352
#> [33,] 0.0965 0.1492 0.1128 0.0463 0.1218 0.0193 0.0140 0.0027 0.0068 0.0150
#> [34,] 0.1665 0.1807 0.1245 0.0516 0.0936 0.0044 0.0185 0.0072 0.0055 0.0074
#> [35,] 0.2674 0.1541 0.1359 0.0941 0.1075 0.0261 0.0079 0.0164 0.0120 0.0113
#> [36,] 0.0576 0.0672 0.0269 0.0245 0.0611 0.0190 0.0063 0.0321 0.0189 0.0137
#> [37,] 0.2518 0.1482 0.0988 0.0317 0.0179 0.0269 0.0066 0.0008 0.0045 0.0024
#> [38,] 0.1423 0.0390 0.0406 0.0311 0.0185 0.0086 0.0154 0.0048 0.0025 0.0087
#> [39,] 0.0723 0.0912 0.0812 0.0496 0.0410 0.0101 0.0089 0.0083 0.0080 0.0026
#> [40,] 0.1089 0.0623 0.0494 0.0264 0.0384 0.0081 0.0104 0.0045 0.0014 0.0038
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0079 0.0111 0.0107 0.0068 0.0097 0.1515 0.0067 0.2134 0.2613 0.2832
#> [2,] 0.0053 0.0165 0.0141 0.0077 0.0246 0.1215 0.0198 0.2002 0.1516 0.0818
#> [3,] 0.0202 0.0139 0.0029 0.0160 0.0106 0.1077 0.0134 0.2363 0.2385 0.0075
#> [4,] 0.0233 0.0041 0.0018 0.0048 0.0089 0.0473 0.0085 0.0361 0.0741 0.1398
#> [5,] 0.0134 0.0122 0.0047 0.0018 0.0006 0.1026 0.0023 0.1139 0.0877 0.1160
#> [6,] 0.0038 0.0018 0.0113 0.0058 0.0047 0.0492 0.0071 0.0033 0.0398 0.0791
#> [7,] 0.0075 0.0060 0.0080 0.0019 0.0053 0.1009 0.0019 0.1627 0.2071 0.2696
#> [8,] 0.0016 0.0008 0.0042 0.0024 0.0027 0.0744 0.0041 0.0800 0.0456 0.0368
#> [9,] 0.0188 0.0101 0.0229 0.0182 0.0046 0.0200 0.0038 0.0981 0.1016 0.2025
#> [10,] 0.0062 0.0157 0.0088 0.0036 0.0053 0.0921 0.0030 0.1368 0.1078 0.1552
#> [11,] 0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> [12,] 0.0102 0.0065 0.0061 0.0062 0.0043 0.1635 0.0053 0.0887 0.0817 0.1779
#> [13,] 0.0252 0.0087 0.0177 0.0214 0.0227 0.1328 0.0106 0.0988 0.1787 0.1199
#> [14,] 0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> [15,] 0.0281 0.0117 0.0092 0.0147 0.0157 0.1800 0.0129 0.1108 0.2794 0.1408
#> [16,] 0.0188 0.0054 0.0114 0.0196 0.0147 0.0355 0.0062 0.0531 0.0343 0.1052
#> [17,] 0.0117 0.0060 0.0058 0.0031 0.0072 0.0752 0.0045 0.0414 0.0259 0.0692
#> [18,] 0.0037 0.0051 0.0258 0.0102 0.0037 0.0534 0.0037 0.2140 0.3110 0.2837
#> [19,] 0.0039 0.0061 0.0040 0.0036 0.0061 0.0338 0.0115 0.0655 0.1400 0.1843
#> [20,] 0.0276 0.0032 0.0084 0.0122 0.0082 0.1125 0.0143 0.3322 0.4590 0.5526
#> [21,] 0.0091 0.0038 0.0056 0.0056 0.0048 0.0779 0.0024 0.1365 0.0780 0.1038
#> [22,] 0.0096 0.0024 0.0037 0.0028 0.0030 0.0929 0.0030 0.1031 0.0883 0.1596
#> [23,] 0.0103 0.0121 0.0042 0.0090 0.0070 0.0324 0.0099 0.0918 0.1070 0.1553
#> [24,] 0.0016 0.0029 0.0058 0.0050 0.0024 0.0771 0.0030 0.0499 0.0906 0.1229
#> [25,] 0.0080 0.0152 0.0158 0.0053 0.0189 0.1589 0.0102 0.1392 0.0987 0.0955
#> [26,] 0.0120 0.0129 0.0020 0.0109 0.0074 0.2431 0.0078 0.1777 0.2018 0.2611
#> [27,] 0.0043 0.0098 0.0054 0.0051 0.0065 0.1103 0.0103 0.1349 0.2337 0.3113
#> [28,] 0.0060 0.0131 0.0089 0.0084 0.0113 0.1524 0.0049 0.1543 0.0391 0.0610
#> [29,] 0.0052 0.0072 0.0056 0.0038 0.0043 0.0860 0.0030 0.1738 0.1351 0.1063
#> [30,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [31,] 0.0025 0.0061 0.0038 0.0101 0.0078 0.1515 0.0006 0.1674 0.1513 0.1723
#> [32,] 0.0158 0.0326 0.0201 0.0168 0.0245 0.1227 0.0154 0.2495 0.4566 0.6587
#> [33,] 0.0012 0.0133 0.0048 0.0244 0.0077 0.1538 0.0074 0.1192 0.1229 0.2119
#> [34,] 0.0068 0.0084 0.0037 0.0024 0.0034 0.1146 0.0007 0.0706 0.0996 0.1673
#> [35,] 0.0021 0.0097 0.0072 0.0060 0.0017 0.1019 0.0036 0.1606 0.2119 0.3061
#> [36,] 0.0277 0.0152 0.0052 0.0121 0.0124 0.0577 0.0055 0.0665 0.0664 0.1460
#> [37,] 0.0006 0.0073 0.0096 0.0054 0.0085 0.0733 0.0060 0.0841 0.1031 0.0993
#> [38,] 0.0072 0.0095 0.0086 0.0085 0.0040 0.1260 0.0051 0.1015 0.1918 0.3362
#> [39,] 0.0079 0.0042 0.0071 0.0044 0.0022 0.0491 0.0014 0.1053 0.1690 0.2105
#> [40,] 0.0013 0.0089 0.0057 0.0027 0.0051 0.0990 0.0062 0.1201 0.1833 0.2105
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.5779865 0.4158783 0.4861118 0.5770000 0.5273411 0.5861489 0.5456462
#> [2,] 0.5864998 0.4516128 0.4955276 0.5760763 0.5253382 0.5816554 0.5466427
#> [3,] 0.5920416 0.5346387 0.5249779 0.5251014 0.4543588 0.5374660 0.5360285
#> [4,] 0.5474302 0.5059714 0.5290693 0.5242144 0.4856113 0.5356119 0.5299054
#> [5,] 0.5846792 0.4703637 0.5424560 0.5234535 0.4927695 0.5583019 0.5463081
#> [6,] 0.5565364 0.4630366 0.5460668 0.5186982 0.5029030 0.5699654 0.5393976
#> [7,] 0.5619152 0.4315626 0.4562604 0.5978751 0.5315058 0.6086363 0.5300516
#> [8,] 0.6168740 0.4568218 0.5486183 0.5304044 0.4971428 0.5608980 0.5519806
#> [9,] 0.5731554 0.4569408 0.4780285 0.5606687 0.5024366 0.5755316 0.5577560
#> [10,] 0.5926301 0.4198364 0.4992245 0.5601932 0.5267909 0.5938166 0.5388281
#> [11,] 0.6009149 0.5037234 0.5221386 0.5269778 0.4714472 0.5436760 0.5296003
#> [12,] 0.5530097 0.4396462 0.4595241 0.6060025 0.5366066 0.6115599 0.5361843
#> [13,] 0.5689704 0.4669962 0.4887862 0.5643613 0.4837269 0.6095251 0.5302496
#> [14,] 0.5718804 0.4598972 0.4965898 0.5781910 0.4883694 0.5600821 0.5282667
#> [15,] 0.5925002 0.4563664 0.5196440 0.5384813 0.4805256 0.5518907 0.5678762
#> [16,] 0.5721367 0.4643982 0.5437654 0.5418766 0.5241323 0.5535147 0.5493010
#> [17,] 0.5748185 0.4631961 0.5080176 0.5552484 0.5199324 0.5671519 0.5483900
#> [18,] 0.6117924 0.4539561 0.4955087 0.5289699 0.4962431 0.5514939 0.5483734
#> [19,] 0.5700858 0.4304784 0.5084718 0.5406996 0.5165745 0.5698287 0.5280008
#> [20,] 0.5678850 0.4846892 0.4934410 0.5643871 0.4666925 0.5314246 0.5459133
#> [21,] 0.5630230 0.4537286 0.5212121 0.5440046 0.5067405 0.5842931 0.5321494
#> [22,] 0.5815205 0.4426986 0.5292053 0.5346530 0.4997508 0.5710072 0.5463549
#> [23,] 0.5723830 0.4568003 0.5099990 0.5686946 0.5259525 0.5877124 0.5339391
#> [24,] 0.5840574 0.4547721 0.5429891 0.5288832 0.4931897 0.5730804 0.5479421
#> [25,] 0.5769004 0.4609878 0.5350161 0.5247849 0.5002553 0.5589876 0.5532270
#> [26,] 0.5725274 0.4536058 0.4970794 0.5555884 0.4892412 0.6214658 0.5295296
#> [27,] 0.5628607 0.4453026 0.5246410 0.5403607 0.5143992 0.5681295 0.5335562
#> [28,] 0.5841209 0.4688197 0.4975977 0.5787055 0.5047505 0.5884225 0.5453764
#> [29,] 0.5741056 0.4425867 0.4914204 0.5785452 0.5415870 0.5898344 0.5591612
#> [30,] 0.5797401 0.4764225 0.5243438 0.5362350 0.5158259 0.5550118 0.5527642
#> [31,] 0.5616389 0.4387232 0.4673697 0.5935136 0.5336822 0.6192828 0.5246783
#> [32,] 0.5779576 0.4804155 0.5258107 0.5375022 0.4718932 0.5331676 0.5566598
#> [33,] 0.5820863 0.4132347 0.4900987 0.5704980 0.5237078 0.5989553 0.5482591
#> [34,] 0.5659086 0.4473792 0.5190389 0.5429667 0.5054882 0.5777762 0.5390683
#> [35,] 0.5813753 0.4766151 0.5366080 0.5116018 0.4736820 0.5497383 0.5362965
#> [36,] 0.5570749 0.4561572 0.4647359 0.5839697 0.5220891 0.5823157 0.5301380
#> [37,] 0.5758929 0.4823898 0.5422703 0.5246230 0.4954479 0.5679616 0.5286342
#> [38,] 0.5771235 0.4215094 0.5206336 0.5554146 0.5220552 0.5795440 0.5434633
#> [39,] 0.5621550 0.4283414 0.5261730 0.5391079 0.5137870 0.5778405 0.5278992
#> [40,] 0.5568156 0.4532833 0.4728870 0.5665613 0.5213915 0.5715384 0.5572086
#> [,8] [,9] [,10]
#> [1,] 0.6252329 0.5201504 0.4390858
#> [2,] 0.6022086 0.5140339 0.4508964
#> [3,] 0.5574996 0.5748970 0.5454119
#> [4,] 0.5679055 0.5401888 0.5113047
#> [5,] 0.6087219 0.5519765 0.4599740
#> [6,] 0.5970822 0.5449870 0.4736752
#> [7,] 0.6321058 0.5046132 0.4477807
#> [8,] 0.5897847 0.5514822 0.4649466
#> [9,] 0.5937350 0.5123427 0.4803166
#> [10,] 0.6297909 0.5147981 0.4530164
#> [11,] 0.5723017 0.5587157 0.4769448
#> [12,] 0.6241999 0.4990752 0.4633916
#> [13,] 0.5874668 0.5540804 0.5018022
#> [14,] 0.5946616 0.5508350 0.4541943
#> [15,] 0.5787203 0.5678011 0.4735149
#> [16,] 0.5921838 0.5428748 0.4862392
#> [17,] 0.5989778 0.5110206 0.4681741
#> [18,] 0.5982665 0.5422868 0.4620178
#> [19,] 0.6187955 0.5384491 0.4404139
#> [20,] 0.5823840 0.5433979 0.4487497
#> [21,] 0.6135345 0.5412606 0.4799682
#> [22,] 0.6226547 0.5413597 0.4475901
#> [23,] 0.6001123 0.5259923 0.4763047
#> [24,] 0.6245594 0.5466261 0.4532177
#> [25,] 0.5812025 0.5419665 0.4626943
#> [26,] 0.6139490 0.5592911 0.4650820
#> [27,] 0.6255164 0.5401308 0.4646274
#> [28,] 0.5990839 0.5154411 0.4558568
#> [29,] 0.6258801 0.5007960 0.4528760
#> [30,] 0.5889546 0.5285244 0.4824799
#> [31,] 0.6241093 0.4972549 0.4509302
#> [32,] 0.5933609 0.5663342 0.4653973
#> [33,] 0.6374985 0.5147784 0.4485643
#> [34,] 0.6118002 0.5418574 0.4788663
#> [35,] 0.5945012 0.5687073 0.4749324
#> [36,] 0.5855256 0.5097521 0.4619526
#> [37,] 0.5915778 0.5607551 0.4739632
#> [38,] 0.6171740 0.5298876 0.4416083
#> [39,] 0.6301335 0.5458556 0.4545741
#> [40,] 0.5841718 0.4982755 0.4833215
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5622251 0.4377749
#> [2,] 0.5613842 0.4386158
#> [3,] 0.5574336 0.4425664
#> [4,] 0.5565021 0.4434979
#> [5,] 0.5581377 0.4418623
#> [6,] 0.5578309 0.4421691
#> [7,] 0.5644023 0.4355977
#> [8,] 0.5583162 0.4416838
#> [9,] 0.5611373 0.4388627
#> [10,] 0.5620083 0.4379917
#> [11,] 0.5576013 0.4423987
#> [12,] 0.5645443 0.4354557
#> [13,] 0.5625620 0.4374380
#> [14,] 0.5606536 0.4393464
#> [15,] 0.5586219 0.4413781
#> [16,] 0.5578794 0.4421206
#> [17,] 0.5597674 0.4402326
#> [18,] 0.5589749 0.4410251
#> [19,] 0.5595889 0.4404111
#> [20,] 0.5589392 0.4410608
#> [21,] 0.5602628 0.4397372
#> [22,] 0.5595469 0.4404531
#> [23,] 0.5610179 0.4389821
#> [24,] 0.5593247 0.4406753
#> [25,] 0.5576471 0.4423529
#> [26,] 0.5629006 0.4370994
#> [27,] 0.5594634 0.4405366
#> [28,] 0.5619104 0.4380896
#> [29,] 0.5621780 0.4378220
#> [30,] 0.5581695 0.4418305
#> [31,] 0.5642646 0.4357354
#> [32,] 0.5578186 0.4421814
#> [33,] 0.5629171 0.4370829
#> [34,] 0.5600354 0.4399646
#> [35,] 0.5574017 0.4425983
#> [36,] 0.5616790 0.4383210
#> [37,] 0.5580638 0.4419362
#> [38,] 0.5603854 0.4396146
#> [39,] 0.5598693 0.4401307
#> [40,] 0.5606891 0.4393109
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.3145133 -0.33971679 -0.055567232 0.31047018 0.1094737571 0.3480675
#> [2,] 0.3495143 -0.19415657 -0.017890063 0.30668655 0.1014398511 0.3295727
#> [3,] 0.3724117 0.13877721 0.099994740 0.10048995 -0.1830744539 0.1501454
#> [4,] 0.1902929 0.02388670 0.116408344 0.09693347 -0.0575707708 0.1426890
#> [5,] 0.3420119 -0.11868422 0.170233836 0.09388299 -0.0289241340 0.2342734
#> [6,] 0.2271168 -0.14812387 0.184791392 0.07482760 0.0116120266 0.2817098
#> [7,] 0.2489386 -0.27547871 -0.175406726 0.39661933 0.1261905855 0.4415834
#> [8,] 0.4763010 -0.17314411 0.195089807 0.12176768 -0.0114288306 0.2448073
#> [9,] 0.2947367 -0.17266442 -0.087942785 0.24387639 0.0097464694 0.3044567
#> [10,] 0.3748489 -0.32344522 -0.003102091 0.24194599 0.1072662658 0.3797658
#> [11,] 0.4092785 0.01489403 0.088612356 0.10801621 -0.1143354103 0.1751503
#> [12,] 0.2128386 -0.24259816 -0.162258554 0.43053949 0.1466890234 0.4538738
#> [13,] 0.2776517 -0.13220751 -0.044862806 0.25888152 -0.0651153365 0.4453163
#> [14,] 0.2895273 -0.16075640 -0.013641078 0.31535163 -0.0465306095 0.2414953
#> [15,] 0.3743108 -0.17497960 0.078616400 0.15423022 -0.0779369347 0.2083128
#> [16,] 0.2905741 -0.14264861 0.175510734 0.16789953 0.0966041630 0.2148818
#> [17,] 0.3015384 -0.14748226 0.032073093 0.22189961 0.0797717715 0.2702402
#> [18,] 0.4548528 -0.18469878 -0.017965567 0.11600963 -0.0150279298 0.2067083
#> [19,] 0.2822013 -0.27989948 0.033890589 0.16315926 0.0663224186 0.2811522
#> [20,] 0.2732271 -0.06126226 -0.026237633 0.25898649 -0.1334275296 0.1258643
#> [21,] 0.2534400 -0.18561684 0.084899372 0.17647499 0.0269635567 0.3404223
#> [22,] 0.3290182 -0.23021696 0.116954135 0.13883455 -0.0009968866 0.2859617
#> [23,] 0.2915805 -0.17323076 0.040001393 0.27652727 0.1039032149 0.3545166
#> [24,] 0.3394521 -0.18140754 0.172381947 0.11566155 -0.0272427993 0.2944303
#> [25,] 0.3100619 -0.15636676 0.140294131 0.09922093 0.0010213528 0.2370545
#> [26,] 0.2921705 -0.18611214 -0.011682656 0.22327658 -0.0430420237 0.4957746
#> [27,] 0.2527804 -0.21966869 0.098643881 0.16179481 0.0576127584 0.2742238
#> [28,] 0.3397132 -0.12488324 -0.009609371 0.31746177 0.0190024322 0.3574479
#> [29,] 0.2986218 -0.23067078 -0.034321832 0.31680417 0.1667332161 0.3632809
#> [30,] 0.3217064 -0.09438009 0.097452137 0.14519439 0.0633245789 0.2209418
#> [31,] 0.2478160 -0.24634563 -0.130707053 0.37850950 0.1349330491 0.4865052
#> [32,] 0.3143948 -0.07837806 0.103334546 0.15029119 -0.1125456915 0.1328657
#> [33,] 0.3313439 -0.35060918 -0.039610387 0.28388345 0.0949022638 0.4011141
#> [34,] 0.2651775 -0.21126548 0.076192505 0.17229178 0.0219535702 0.3136511
#> [35,] 0.3284215 -0.09360780 0.146694478 0.04641564 -0.1053695707 0.1996133
#> [36,] 0.2292991 -0.17582292 -0.141290800 0.33909090 0.0884139081 0.3322868
#> [37,] 0.3059358 -0.07046977 0.169485627 0.09857155 -0.0182087329 0.2735392
#> [38,] 0.3109761 -0.31658035 0.082581379 0.22257277 0.0882782259 0.3209019
#> [39,] 0.2499127 -0.28862143 0.104787842 0.15675191 0.0551621499 0.3139146
#> [40,] 0.2282483 -0.18741355 -0.108558527 0.26783510 0.0856184230 0.2881304
#> [,7] [,8] [,9] [,10]
#> [1,] 0.18309443 0.5118194 0.080645355 -0.24487299
#> [2,] 0.18711474 0.4146760 0.056150260 -0.19704965
#> [3,] 0.14436430 0.2310202 0.301859353 0.18214967
#> [4,] 0.11976464 0.2733108 0.161102613 0.04522651
#> [5,] 0.18576462 0.4419430 0.208659660 -0.16044713
#> [6,] 0.15791762 0.3933223 0.180436095 -0.10539683
#> [7,] 0.12035131 0.5412614 0.018453161 -0.20964184
#> [8,] 0.20867632 0.3630755 0.206661234 -0.14044403
#> [9,] 0.23205995 0.3794273 0.049380637 -0.07877432
#> [10,] 0.15562591 0.5313198 0.059209556 -0.18849059
#> [11,] 0.11853985 0.2912485 0.235951368 -0.09228635
#> [12,] 0.14499070 0.5074133 -0.003699203 -0.14669593
#> [13,] 0.12114628 0.3535029 0.217171101 0.00720892
#> [14,] 0.11318750 0.3832703 0.204044967 -0.18373789
#> [15,] 0.27319140 0.3175222 0.272885281 -0.10603962
#> [16,] 0.19784701 0.3730004 0.171921599 -0.05505728
#> [17,] 0.19416791 0.4012077 0.044089440 -0.12747608
#> [18,] 0.19410074 0.3982473 0.169552293 -0.15222189
#> [19,] 0.11212047 0.4844387 0.154100580 -0.23948261
#> [20,] 0.18417212 0.3325676 0.174029318 -0.20572352
#> [21,] 0.12877523 0.4621937 0.165418481 -0.08017001
#> [22,] 0.18595369 0.5008312 0.165817809 -0.21041235
#> [23,] 0.13596536 0.4059328 0.104062918 -0.09485217
#> [24,] 0.19235933 0.5089462 0.187047786 -0.18767834
#> [25,] 0.21371783 0.3277119 0.168261673 -0.14950049
#> [26,] 0.11825599 0.4639426 0.238285423 -0.13989963
#> [27,] 0.13442674 0.5130297 0.160869188 -0.14172735
#> [28,] 0.18200649 0.4016493 0.061783876 -0.17703357
#> [29,] 0.23775872 0.5145824 0.003184110 -0.18905706
#> [30,] 0.21184563 0.3596455 0.114221507 -0.07010892
#> [31,] 0.09879359 0.5070271 -0.010980480 -0.19691301
#> [32,] 0.22761692 0.3778767 0.266910316 -0.13863230
#> [33,] 0.19363917 0.5645234 0.059131011 -0.20647340
#> [34,] 0.15659231 0.4548856 0.167822553 -0.08458523
#> [35,] 0.14544169 0.3826047 0.276578968 -0.10035441
#> [36,] 0.12069851 0.3454986 0.039013322 -0.15248432
#> [37,] 0.11466212 0.3704917 0.244226983 -0.10424143
#> [38,] 0.17429315 0.4775702 0.119693128 -0.23463727
#> [39,] 0.11171291 0.5327894 0.183939312 -0.18220591
#> [40,] 0.22984110 0.3399229 -0.006897857 -0.06673882
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.3498928 0.09969544
#> [2,] 0.3481453 0.10136370
#> [3,] 0.3507051 0.11995210
#> [4,] 0.3430023 0.11602425
#> [5,] 0.3475323 0.11392508
#> [6,] 0.3463254 0.11396168
#> [7,] 0.3529586 0.09391043
#> [8,] 0.3472734 0.11294220
#> [9,] 0.3508279 0.10504893
#> [10,] 0.3507436 0.10142694
#> [11,] 0.3453294 0.11389694
#> [12,] 0.3537028 0.09407710
#> [13,] 0.3571919 0.10562569
#> [14,] 0.3477476 0.10393233
#> [15,] 0.3498260 0.11425512
#> [16,] 0.3452995 0.11273923
#> [17,] 0.3463158 0.10609777
#> [18,] 0.3472832 0.11028026
#> [19,] 0.3455360 0.10604207
#> [20,] 0.3448787 0.10802068
#> [21,] 0.3507224 0.10849353
#> [22,] 0.3489275 0.10960410
#> [23,] 0.3491480 0.10385386
#> [24,] 0.3501838 0.11176206
#> [25,] 0.3448580 0.11323957
#> [26,] 0.3577226 0.10478002
#> [27,] 0.3478911 0.10890641
#> [28,] 0.3505513 0.10163237
#> [29,] 0.3506054 0.10059911
#> [30,] 0.3455971 0.11186058
#> [31,] 0.3523363 0.09384810
#> [32,] 0.3474197 0.11510619
#> [33,] 0.3531698 0.10016034
#> [34,] 0.3504026 0.10909710
#> [35,] 0.3473167 0.11669321
#> [36,] 0.3466941 0.09871500
#> [37,] 0.3469831 0.11367522
#> [38,] 0.3474215 0.10469526
#> [39,] 0.3484264 0.10779486
#> [40,] 0.3475560 0.10359674
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.4377749 -0.4377749
#> [2,] 0.4386158 -0.4386158
#> [3,] -0.5574336 0.5574336
#> [4,] -0.5565021 0.5565021
#> [5,] -0.5581377 0.5581377
#> [6,] -0.5578309 0.5578309
#> [7,] -0.5644023 0.5644023
#> [8,] 0.4416838 -0.4416838
#> [9,] -0.5611373 0.5611373
#> [10,] 0.4379917 -0.4379917
#> [11,] -0.5576013 0.5576013
#> [12,] -0.5645443 0.5645443
#> [13,] 0.4374380 -0.4374380
#> [14,] 0.4393464 -0.4393464
#> [15,] 0.4413781 -0.4413781
#> [16,] -0.5578794 0.5578794
#> [17,] -0.5597674 0.5597674
#> [18,] -0.5589749 0.5589749
#> [19,] 0.4404111 -0.4404111
#> [20,] 0.4410608 -0.4410608
#> [21,] 0.4397372 -0.4397372
#> [22,] -0.5595469 0.5595469
#> [23,] 0.4389821 -0.4389821
#> [24,] -0.5593247 0.5593247
#> [25,] -0.5576471 0.5576471
#> [26,] 0.4370994 -0.4370994
#> [27,] 0.4405366 -0.4405366
#> [28,] 0.4380896 -0.4380896
#> [29,] -0.5621780 0.5621780
#> [30,] -0.5581695 0.5581695
#> [31,] 0.4357354 -0.4357354
#> [32,] 0.4421814 -0.4421814
#> [33,] 0.4370829 -0.4370829
#> [34,] 0.4399646 -0.4399646
#> [35,] 0.4425983 -0.4425983
#> [36,] 0.4383210 -0.4383210
#> [37,] -0.5580638 0.5580638
#> [38,] 0.4396146 -0.4396146
#> [39,] 0.4401307 -0.4401307
#> [40,] -0.5606891 0.5606891
#>
#> $L
#> [1] 0.6908951 0.6826732 0.6896163 0.6872187 0.6874441 0.6871380
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5072464