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 |
| initW | untyped | - | - | |
| initB | untyped | - | - | |
| hidden | integer | 10 | \([1, \infty)\) | |
| max.number.of.layers | integer | - | \([1, \infty)\) | |
| activationfun | character | sigm | sigm, linear, tanh | - |
| learningrate | numeric | 0.8 | \([0, \infty)\) | |
| momentum | numeric | 0.5 | \([0, \infty)\) | |
| learningrate_scale | numeric | 1 | \([0, \infty)\) | |
| numepochs | integer | 3 | \([1, \infty)\) | |
| batchsize | integer | 100 | \([1, \infty)\) | |
| output | character | sigm | sigm, linear, softmax | - |
| hidden_dropout | numeric | 0 | \([0, 1]\) | |
| 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/basics.html#learners
mlr3learners for a selection of recommended learners.
mlr3cluster for unsupervised clustering learners.
mlr3pipelines to combine learners with pre- and postprocessing steps.
mlr3tuning for tuning of hyperparameters, mlr3tuningspaces for established default tuning spaces.
Super classes
mlr3::Learner -> mlr3::LearnerClassif -> 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()
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'
# 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 V14
#> [1,] 0.08714322 0.06884288 -0.060385200 -0.06052371 -0.008533918 -0.05203194
#> [2,] -0.01476339 0.07188038 -0.076643635 -0.02064245 -0.100082264 -0.05743666
#> [3,] -0.05074631 -0.03620257 0.030190837 0.04217233 0.067302692 -0.09215065
#> [4,] 0.04371417 -0.02359091 0.006449490 -0.09774011 -0.042102891 0.08834755
#> [5,] 0.01048603 -0.03328238 0.048955276 0.09106931 -0.063690473 0.02979861
#> [6,] -0.06751547 0.05727471 0.044728992 0.05404171 -0.026673147 -0.06296965
#> [7,] -0.09586134 -0.02372192 0.006319460 0.04857268 0.009121988 -0.06156345
#> [8,] -0.07583225 0.02370398 0.007677828 0.06846224 -0.027461475 -0.06237061
#> [9,] 0.09592410 0.02661582 -0.033643682 0.05728550 -0.085562507 0.07073882
#> [10,] 0.05059695 -0.01366062 0.062520503 -0.05323778 -0.074697924 0.02663712
#> V15 V16 V17 V18 V19
#> [1,] 0.08107472 -0.06749277 -0.04517434 0.066272203 -0.091279208
#> [2,] 0.08004468 -0.09610038 0.04992613 0.019158630 -0.055740698
#> [3,] -0.02869041 -0.02160589 0.05615728 0.034989237 -0.053882293
#> [4,] -0.03780439 0.03463784 0.05677192 0.042449990 -0.059375814
#> [5,] -0.06546453 -0.02874060 -0.06886070 0.094328117 0.074930322
#> [6,] -0.01684603 -0.07466308 0.09340006 0.018587909 -0.000560699
#> [7,] 0.01998540 0.08909662 -0.07911700 -0.060348988 0.100244580
#> [8,] 0.09566304 -0.03961609 0.02052527 0.059350189 -0.047428584
#> [9,] 0.02245435 0.01512419 0.09731567 0.006277225 -0.056734212
#> [10,] -0.06415629 -0.09889074 0.07792302 -0.010582232 -0.077864958
#> V2 V20 V21 V22 V23
#> [1,] 0.020135695 -0.086102767 0.027827564 0.002078061 0.03187067
#> [2,] -0.046712721 -0.029221470 -0.087780429 -0.083174073 0.07922779
#> [3,] 0.076684028 0.010922683 0.052948832 -0.077441404 0.02979073
#> [4,] 0.069708117 0.072687480 -0.067842950 -0.052286973 0.05404048
#> [5,] 0.061200223 -0.003518305 -0.088412234 0.071478076 0.05024538
#> [6,] -0.029501024 0.029819309 0.014732934 -0.050132204 -0.05596691
#> [7,] 0.039016145 0.070217852 -0.010039645 0.047636272 0.09508333
#> [8,] -0.006659734 -0.081168282 -0.067261745 0.010691578 0.07204749
#> [9,] 0.063318577 -0.086300207 -0.055669674 0.025446738 -0.09357768
#> [10,] 0.038711451 0.095064120 -0.003332639 0.043898362 0.07883433
#> V24 V25 V26 V27 V28
#> [1,] 0.012952540 -0.023738377 -0.05993417 0.02870753 -0.052583938
#> [2,] -0.029492680 0.067484372 -0.10019624 0.05716163 0.011847562
#> [3,] -0.039110096 0.016441940 -0.07748930 0.09680096 0.032124039
#> [4,] 0.068536231 -0.040304398 0.08097461 -0.04216958 0.056397536
#> [5,] 0.002722297 -0.073106475 -0.02477625 -0.03249328 -0.008359202
#> [6,] 0.095574656 -0.007644162 0.04531868 -0.08439337 0.025810343
#> [7,] -0.054166229 -0.021308461 0.03829980 0.02571486 -0.059357125
#> [8,] -0.050731944 0.040011991 0.04965020 0.02993569 -0.017095238
#> [9,] -0.009004879 0.074450768 0.07280790 -0.07657452 0.075900997
#> [10,] -0.057314403 -0.086954674 -0.09352189 0.09643798 0.073278177
#> V29 V3 V30 V31 V32
#> [1,] 0.0275328883 -0.025858708 -0.079361680 -0.060431455 0.09722690
#> [2,] -0.0301795592 -0.069424372 0.061415657 0.078823055 -0.06535724
#> [3,] 0.0002647614 0.097163398 -0.084876291 0.016239224 -0.10084848
#> [4,] 0.0596601752 -0.089423154 0.023045992 -0.030161279 0.07476760
#> [5,] -0.0805466729 0.077263513 -0.037159293 0.004213105 -0.07356356
#> [6,] 0.0371562311 0.003514141 -0.044211678 -0.001440736 -0.02863313
#> [7,] 0.0747352533 0.089332414 -0.069328809 -0.061897673 -0.07861759
#> [8,] -0.0278727501 -0.059636589 -0.009588056 0.020099033 -0.04284335
#> [9,] -0.0517942943 -0.030267688 0.056913689 -0.099856384 -0.09945413
#> [10,] -0.0890740386 -0.038079952 0.080151033 -0.033250104 0.03713190
#> V33 V34 V35 V36 V37
#> [1,] -0.060316865 0.025316122 0.07454917 -0.023610891 0.0293276109
#> [2,] 0.006624626 0.094477031 -0.04943209 0.013846189 0.0074001866
#> [3,] 0.097605220 -0.026042682 0.03513965 -0.096645390 0.0546461350
#> [4,] -0.036379800 0.052530318 0.06494232 0.096648954 -0.0046113696
#> [5,] -0.067482781 -0.032449427 0.08662925 -0.006773180 -0.0262905016
#> [6,] -0.029247944 0.004722625 -0.09077745 0.040710204 -0.0104670139
#> [7,] 0.011453091 -0.055931242 -0.05963135 -0.008058819 -0.0492632132
#> [8,] 0.071987618 -0.007735679 -0.05710113 -0.072336429 -0.0995261529
#> [9,] -0.093839232 0.042451103 -0.07556410 -0.091112927 0.0008256803
#> [10,] -0.101855180 0.018380496 0.05699657 -0.027238204 0.0272322252
#> V38 V39 V4 V40 V41
#> [1,] -0.071377133 0.07741183 -0.043001338 -0.0160208337 0.04713649
#> [2,] 0.045397192 0.02682939 0.065282576 0.0812123517 0.03079429
#> [3,] 0.003904447 0.01330317 0.005590206 0.0002976755 -0.04660541
#> [4,] -0.067171087 -0.06992989 0.088774478 -0.0719605691 0.05602885
#> [5,] 0.007208880 -0.03454861 -0.097112729 -0.0759919674 -0.07284955
#> [6,] 0.068587581 -0.05669606 -0.068646154 -0.0343256045 -0.06015859
#> [7,] 0.066939816 -0.01525702 0.093105530 0.0220355594 -0.03726829
#> [8,] -0.067423304 0.07867288 -0.084790119 0.0474727869 0.01465474
#> [9,] -0.061829049 -0.02364093 -0.027113827 -0.0453480906 -0.05820661
#> [10,] -0.085699415 0.02725634 -0.021582269 0.0436216169 0.03290004
#> V42 V43 V44 V45 V46
#> [1,] -0.02727504 0.043427311 0.0799028246 0.04331215 0.037139853
#> [2,] 0.03669286 -0.091170104 -0.0084131138 -0.04110381 -0.102141176
#> [3,] 0.05449523 -0.001977314 0.0797623540 -0.08716838 0.071670419
#> [4,] -0.01878606 -0.097891349 0.0905388754 -0.03671646 0.090701633
#> [5,] -0.02925838 -0.008531557 0.0880013985 0.00714248 0.065211648
#> [6,] 0.04660946 -0.095370347 -0.0608872879 0.09004025 0.093735859
#> [7,] 0.09742899 -0.024997908 0.0163958598 0.08210923 0.077639106
#> [8,] 0.02953335 -0.038906080 0.0683645892 -0.05255492 -0.089837245
#> [9,] 0.00176989 -0.054484736 -0.0118349856 -0.01469392 -0.022718319
#> [10,] 0.07642219 -0.033526591 0.0002366963 0.08207650 -0.003931894
#> V47 V48 V49 V5 V50
#> [1,] 0.07229112 0.09607577 0.064312916 0.07858356 -0.042160088
#> [2,] 0.06952285 0.06147299 0.086083299 -0.09105159 0.079139866
#> [3,] 0.06758923 0.03923005 -0.030560915 -0.07622032 -0.017311704
#> [4,] 0.08972160 -0.07115959 -0.041732304 0.06206818 -0.075417731
#> [5,] 0.02621911 -0.07977567 -0.063156465 0.01196571 -0.001810529
#> [6,] 0.09842905 0.08931020 0.006326638 0.06837854 -0.023111688
#> [7,] 0.04529970 -0.08651139 0.016559955 0.05757878 0.047825244
#> [8,] -0.07563132 -0.02904345 0.047507617 -0.07443523 0.081402655
#> [9,] -0.09712247 0.01376147 -0.095780741 0.03614581 0.079385869
#> [10,] 0.03672005 0.05069030 0.097961973 0.03273060 -0.064538461
#> V51 V52 V53 V54 V55
#> [1,] -0.047440821 0.0470566851 -0.094489247 -0.01630419 -0.040184462
#> [2,] -0.031860497 -0.0333274177 0.084537974 -0.04936666 0.012223200
#> [3,] -0.071626534 0.0294754971 0.035560606 -0.07633378 -0.082294984
#> [4,] 0.041699680 -0.0861153915 -0.067907881 0.01838989 -0.039555541
#> [5,] 0.025834622 -0.0592622672 0.075897116 -0.03542612 0.050048276
#> [6,] -0.036614412 0.0168798404 -0.057417554 -0.03913330 -0.005277511
#> [7,] -0.072345051 0.0001328994 -0.006940542 0.08793713 0.085675462
#> [8,] -0.004425726 -0.0562316219 -0.088525003 0.02606036 0.065902009
#> [9,] -0.062615968 0.0899886174 0.011919860 -0.01795967 0.080607174
#> [10,] -0.091305735 -0.0184362656 0.010973202 -0.02333483 -0.075250895
#> V56 V57 V58 V59 V6
#> [1,] 0.062303549 -0.06802706 0.01952946 -0.01557730 0.002059303
#> [2,] 0.052314270 0.01540259 0.07272731 0.06165174 -0.008685772
#> [3,] 0.003928744 -0.04320385 -0.06465795 -0.09895486 -0.030752823
#> [4,] -0.033070630 0.04672033 -0.06619660 -0.09031097 0.038679700
#> [5,] -0.074527588 -0.06556953 -0.04185769 0.01305166 -0.005947742
#> [6,] 0.095564286 0.04998917 0.02482938 -0.04967243 0.021562270
#> [7,] 0.051975405 -0.05648685 0.08004903 0.02326895 0.052166340
#> [8,] -0.053801305 0.09872617 -0.06576635 -0.01513394 0.098422332
#> [9,] 0.010725936 0.09088404 -0.08064288 0.07483259 -0.066411103
#> [10,] -0.059186753 -0.00970251 -0.04999583 0.06380706 0.036965837
#> V60 V7 V8 V9
#> [1,] -0.094673770 -0.019904251 0.0009647076 0.046510316
#> [2,] 0.039540773 -0.058071884 -0.0934430298 0.056367547
#> [3,] -0.014655696 -0.014871863 -0.0868167510 -0.017609818
#> [4,] -0.081144434 -0.002846345 0.0527087300 -0.023681091
#> [5,] -0.004605098 0.022266018 -0.0303744635 -0.033081335
#> [6,] 0.045415207 -0.080153899 0.0310565631 0.008432289
#> [7,] 0.005958964 0.069065276 -0.0167969179 0.070656219
#> [8,] 0.015981329 0.063855340 -0.0168783516 -0.091428492
#> [9,] -0.021945631 -0.015121540 -0.0436347166 0.077325837
#> [10,] -0.076429466 0.027436870 0.0962566530 -0.088390787
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.02413583 -0.07695189 -0.04383404 -0.02968382 0.06557134 -0.04361299
#> [2,] 0.05236111 0.04200629 -0.06575367 -0.01800559 -0.04742418 -0.10168500
#> [,7] [,8] [,9] [,10]
#> [1,] 0.13356374 0.009722972 0.08006048 0.02312301
#> [2,] -0.01022432 -0.106562026 0.03483948 -0.04690996
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 4.514277e-05 5.269268e-04 6.924566e-04 6.621181e-04 6.308348e-04
#> [2,] 9.199434e-05 1.182517e-03 1.565817e-03 1.472326e-03 1.394271e-03
#> [3,] 3.787564e-06 3.677715e-05 3.859072e-05 5.602222e-05 6.777639e-05
#> [4,] 2.332617e-05 3.012668e-04 3.906610e-04 3.840263e-04 3.772315e-04
#> [5,] -6.739424e-05 -8.265529e-04 -1.113247e-03 -1.013997e-03 -9.308787e-04
#> [6,] -1.390376e-05 -2.132506e-04 -2.950884e-04 -2.523575e-04 -2.226103e-04
#> [7,] -6.467944e-05 -8.781793e-04 -1.183880e-03 -1.071767e-03 -9.857622e-04
#> [8,] -7.617716e-05 -9.170666e-04 -1.234465e-03 -1.124988e-03 -1.031179e-03
#> [9,] -1.840774e-05 -2.146039e-04 -2.959559e-04 -2.579191e-04 -2.241080e-04
#> [10,] -3.219291e-05 -4.105086e-04 -5.581562e-04 -4.967001e-04 -4.471683e-04
#> V14 V15 V16 V17 V18
#> [1,] 4.900151e-04 2.254290e-04 1.962201e-04 2.636353e-04 4.115016e-04
#> [2,] 1.066995e-03 4.328279e-04 3.496592e-04 4.687950e-04 8.465718e-04
#> [3,] 7.053173e-05 8.323302e-05 1.106536e-04 1.349482e-04 1.365895e-04
#> [4,] 3.056319e-04 1.725934e-04 1.794859e-04 2.273939e-04 3.174154e-04
#> [5,] -6.780565e-04 -1.807770e-04 -6.279577e-05 -1.161398e-04 -3.799986e-04
#> [6,] -1.479404e-04 7.030037e-06 5.595479e-05 6.090757e-05 -2.563168e-05
#> [7,] -7.113858e-04 -1.701601e-04 -4.870847e-05 -9.538843e-05 -3.986620e-04
#> [8,] -7.493679e-04 -1.975482e-04 -6.266720e-05 -1.226352e-04 -4.084571e-04
#> [9,] -1.482587e-04 2.636806e-06 5.694478e-05 5.589883e-05 -1.398728e-05
#> [10,] -3.137521e-04 -4.760881e-05 2.863219e-05 1.528961e-05 -1.240139e-04
#> V19 V2 V20 V21 V22
#> [1,] 0.0007930472 6.584774e-05 0.0009038472 0.0009326028 0.0010359182
#> [2,] 0.0017527429 1.370532e-04 0.0020142507 0.0020451978 0.0022564217
#> [3,] 0.0001394329 1.864267e-06 0.0001545120 0.0001851217 0.0002235690
#> [4,] 0.0005268647 3.127965e-05 0.0006011174 0.0006352825 0.0007196180
#> [5,] -0.0010473913 -1.075020e-04 -0.0012066022 -0.0011769093 -0.0012635184
#> [6,] -0.0002239706 -2.511362e-05 -0.0002658766 -0.0002345121 -0.0002371469
#> [7,] -0.0011287596 -1.032612e-04 -0.0013106211 -0.0012712942 -0.0013730602
#> [8,] -0.0011443616 -1.215053e-04 -0.0013165878 -0.0012819698 -0.0013736600
#> [9,] -0.0002011963 -3.212071e-05 -0.0002340644 -0.0002063535 -0.0002023944
#> [10,] -0.0004707487 -5.353494e-05 -0.0005461752 -0.0005135891 -0.0005384743
#> V23 V24 V25 V26 V27
#> [1,] 0.0010129493 0.0010194526 9.545930e-04 8.165267e-04 7.647625e-04
#> [2,] 0.0021492871 0.0021047541 1.913751e-03 1.562364e-03 1.413047e-03
#> [3,] 0.0002539185 0.0002859797 3.255885e-04 3.436573e-04 3.667682e-04
#> [4,] 0.0007197536 0.0007364178 7.292943e-04 6.642561e-04 6.490328e-04
#> [5,] -0.0011400342 -0.0010627011 -8.476185e-04 -5.539884e-04 -4.010301e-04
#> [6,] -0.0001735912 -0.0001218024 -3.425709e-05 6.697570e-05 1.294306e-04
#> [7,] -0.0012286414 -0.0011341551 -9.136792e-04 -5.926590e-04 -4.255710e-04
#> [8,] -0.0012402101 -0.0011584679 -9.186509e-04 -5.963101e-04 -4.281257e-04
#> [9,] -0.0001499047 -0.0001098370 -1.935751e-05 7.417849e-05 1.305156e-04
#> [10,] -0.0004564572 -0.0003965684 -2.628724e-04 -1.000662e-04 -8.143128e-06
#> V28 V29 V3 V30 V31
#> [1,] 7.037007e-04 0.0006586990 7.730023e-05 0.0002256801 -1.474212e-04
#> [2,] 1.272995e-03 0.0011794345 1.587412e-04 0.0002319301 -6.547164e-04
#> [3,] 3.533167e-04 0.0003286212 2.255707e-06 0.0002504042 2.211893e-04
#> [4,] 6.019743e-04 0.0005572791 3.613644e-05 0.0002697353 3.818249e-05
#> [5,] -3.243764e-04 -0.0003049894 -1.253794e-04 0.0002586224 8.501913e-04
#> [6,] 1.478303e-04 0.0001414998 -2.856261e-05 0.0002594466 4.263557e-04
#> [7,] -3.297558e-04 -0.0002991431 -1.189527e-04 0.0003247225 9.880036e-04
#> [8,] -3.460163e-04 -0.0003285068 -1.421469e-04 0.0002882872 9.323947e-04
#> [9,] 1.400637e-04 0.0001261684 -3.770968e-05 0.0002326841 3.747548e-04
#> [10,] 2.511881e-05 0.0000221664 -6.239032e-05 0.0002747101 5.685809e-04
#> V32 V33 V34 V35 V36
#> [1,] -1.119950e-04 -2.106922e-04 -2.317938e-04 -3.879850e-04 -0.0005303428
#> [2,] -5.360393e-04 -7.040009e-04 -7.459780e-04 -1.116275e-03 -0.0014675846
#> [3,] 1.789554e-04 1.653637e-04 1.948287e-04 1.944175e-04 0.0001966335
#> [4,] 2.724068e-05 -1.988265e-05 -1.846490e-06 -8.758474e-05 -0.0001665099
#> [5,] 6.816721e-04 8.082785e-04 9.107988e-04 1.184055e-03 0.0014447470
#> [6,] 3.502963e-04 3.643732e-04 4.036771e-04 4.859643e-04 0.0005684019
#> [7,] 8.078500e-04 9.188284e-04 1.007757e-03 1.311992e-03 0.0016056105
#> [8,] 7.420885e-04 8.926039e-04 1.017671e-03 1.321592e-03 0.0016073238
#> [9,] 2.968706e-04 3.303239e-04 3.844941e-04 4.619042e-04 0.0005358494
#> [10,] 4.578058e-04 5.131103e-04 5.810584e-04 7.241988e-04 0.0008618199
#> V37 V38 V39 V4 V40
#> [1,] -0.0005000709 -1.438181e-05 2.188524e-04 1.384848e-04 2.471179e-05
#> [2,] -0.0013561601 -1.416680e-04 4.141410e-04 3.051365e-04 -5.790361e-05
#> [3,] 0.0001573653 1.109311e-04 9.728610e-05 3.257204e-07 1.077523e-04
#> [4,] -0.0001754292 6.223823e-05 1.768085e-04 6.788598e-05 7.831458e-05
#> [5,] 0.0012915985 3.109278e-04 -1.325079e-04 -2.381700e-04 2.380401e-04
#> [6,] 0.0004958713 1.681841e-04 2.981539e-05 -6.324998e-05 1.464088e-04
#> [7,] 0.0014358295 3.574162e-04 -1.202656e-04 -2.406083e-04 2.777142e-04
#> [8,] 0.0014343617 3.514483e-04 -1.416327e-04 -2.667654e-04 2.670499e-04
#> [9,] 0.0004665852 1.598232e-04 2.365060e-05 -7.121170e-05 1.349500e-04
#> [10,] 0.0007601951 2.231269e-04 -1.506710e-05 -1.223123e-04 1.819536e-04
#> V41 V42 V43 V44 V45
#> [1,] 8.822813e-05 3.449585e-04 4.859930e-04 5.930946e-04 6.405548e-04
#> [2,] 7.467181e-05 6.653555e-04 1.017942e-03 1.281259e-03 1.415803e-03
#> [3,] 7.752314e-05 6.106176e-05 4.775973e-05 6.005176e-05 3.109057e-05
#> [4,] 7.754524e-05 1.962180e-04 2.667212e-04 3.410606e-04 3.454499e-04
#> [5,] 5.936714e-05 -4.277735e-04 -7.136782e-04 -8.764517e-04 -1.032580e-03
#> [6,] 8.879407e-05 -5.660367e-05 -1.525824e-04 -2.017333e-04 -2.647325e-04
#> [7,] 1.155653e-04 -3.921114e-04 -7.092625e-04 -9.113475e-04 -1.075104e-03
#> [8,] 5.873251e-05 -4.872552e-04 -8.017938e-04 -9.776056e-04 -1.153354e-03
#> [9,] 5.707462e-05 -9.692126e-05 -1.851591e-04 -2.183459e-04 -2.830688e-04
#> [10,] 7.671624e-05 -1.832732e-04 -3.392781e-04 -4.199476e-04 -5.155479e-04
#> V46 V47 V48 V49 V5
#> [1,] 4.704289e-04 0.0003471727 2.768139e-04 1.595039e-04 2.477494e-04
#> [2,] 1.037887e-03 0.0007518746 5.986019e-04 3.492430e-04 5.467670e-04
#> [3,] 2.108536e-05 0.0000259477 1.839514e-05 5.856664e-06 1.950996e-05
#> [4,] 2.507908e-04 0.0001906771 1.497738e-04 8.299291e-05 1.404036e-04
#> [5,] -7.631430e-04 -0.0005355607 -4.313906e-04 -2.607374e-04 -3.822625e-04
#> [6,] -1.950989e-04 -0.0001278913 -1.041697e-04 -6.647109e-05 -9.452458e-05
#> [7,] -7.897605e-04 -0.0005514595 -4.432938e-04 -2.669546e-04 -4.009420e-04
#> [8,] -8.522537e-04 -0.0005984842 -4.830922e-04 -2.920399e-04 -4.243212e-04
#> [9,] -2.108097e-04 -0.0001415250 -1.162309e-04 -7.382141e-05 -9.885982e-05
#> [10,] -3.808060e-04 -0.0002612320 -2.120267e-04 -1.309231e-04 -1.873147e-04
#> V50 V51 V52 V53 V54
#> [1,] 2.992520e-05 4.664922e-05 3.372510e-05 1.670116e-05 1.243942e-05
#> [2,] 6.270414e-05 1.034693e-04 7.258736e-05 3.578925e-05 2.625397e-05
#> [3,] 3.554108e-06 2.192118e-06 2.537258e-06 3.056624e-06 1.025191e-06
#> [4,] 1.699463e-05 2.512334e-05 1.837746e-05 1.072251e-05 6.625631e-06
#> [5,] -4.260705e-05 -7.552701e-05 -5.190851e-05 -2.140412e-05 -1.881978e-05
#> [6,] -8.710431e-06 -1.940691e-05 -1.220816e-05 -4.063050e-06 -4.070490e-06
#> [7,] -4.206710e-05 -7.819917e-05 -5.296062e-05 -2.238699e-05 -1.782974e-05
#> [8,] -4.764053e-05 -8.418971e-05 -5.803757e-05 -2.358940e-05 -2.104789e-05
#> [9,] -1.052346e-05 -2.079904e-05 -1.377528e-05 -4.188173e-06 -5.090434e-06
#> [10,] -1.973587e-05 -3.778469e-05 -2.531501e-05 -9.485909e-06 -9.040327e-06
#> V55 V56 V57 V58 V59
#> [1,] 6.084032e-06 6.900365e-06 1.362575e-06 1.368151e-05 1.115043e-05
#> [2,] 1.109842e-05 1.535578e-05 -1.502587e-07 2.942069e-05 2.364324e-05
#> [3,] 2.219292e-06 9.692028e-07 2.373950e-06 1.432207e-06 1.521103e-06
#> [4,] 4.344785e-06 4.306394e-06 1.951464e-06 7.770050e-06 6.569679e-06
#> [5,] -4.779208e-06 -9.653105e-06 3.940023e-06 -2.013918e-05 -1.550193e-05
#> [6,] 4.637323e-07 -2.166673e-06 3.113471e-06 -4.471529e-06 -3.094667e-06
#> [7,] -3.874227e-06 -9.915199e-06 5.484903e-06 -2.022287e-05 -1.529546e-05
#> [8,] -5.342590e-06 -1.060525e-05 4.296141e-06 -2.237590e-05 -1.718296e-05
#> [9,] -7.538151e-08 -2.120199e-06 2.527865e-06 -5.048800e-06 -3.644215e-06
#> [10,] -1.144578e-06 -4.475530e-06 3.424396e-06 -9.566036e-06 -7.115492e-06
#> V6 V60 V7 V8 V9
#> [1,] 1.951061e-04 4.236470e-06 2.256411e-04 2.765968e-04 4.659671e-04
#> [2,] 4.139180e-04 8.383208e-06 4.866440e-04 6.089661e-04 1.047626e-03
#> [3,] 4.455615e-05 1.514965e-06 5.298711e-05 3.316768e-05 2.781333e-05
#> [4,] 1.341579e-04 3.221621e-06 1.592420e-04 1.680086e-04 2.624322e-04
#> [5,] -2.288911e-04 -3.573612e-06 -2.634455e-04 -3.990563e-04 -7.425453e-04
#> [6,] -3.787712e-05 4.347040e-08 -4.545726e-05 -9.295114e-05 -1.945144e-04
#> [7,] -2.456396e-04 -3.336414e-06 -2.890920e-04 -4.229711e-04 -7.884072e-04
#> [8,] -2.506476e-04 -3.817930e-06 -2.864783e-04 -4.412650e-04 -8.249118e-04
#> [9,] -3.614281e-05 -5.521341e-08 -3.871026e-05 -9.319553e-05 -1.960322e-04
#> [10,] -9.546113e-05 -1.004527e-06 -1.095616e-04 -1.898568e-04 -3.711203e-04
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.01119852 -0.004464019 -0.01152392 -0.01005705 -0.01205839 -0.01474997
#> [2,] 0.01119852 0.004464019 0.01152392 0.01005705 0.01205839 0.01474997
#> [,7] [,8] [,9] [,10]
#> [1,] -0.01995647 -0.01021456 -0.01100269 -0.01185249
#> [2,] 0.01995647 0.01021456 0.01100269 0.01185249
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.09748288 0.09703765 0.09785488 0.09752498 0.09874756 0.09795829
#> [7] 0.09812937 0.09869773 0.09835696 0.09813168
#>
#> $B[[2]]
#> [1] 0.12851908 0.07148092
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 6.786137e-04 1.132392e-03 4.328842e-04 6.379079e-04 -7.582637e-05
#> [6] 2.767771e-04 -3.836467e-05 -6.621207e-05 2.621219e-04 1.974890e-04
#>
#> $vB[[2]]
#> [1] -0.0206694 0.0206694
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0368 0.0506 0.0906 0.2545 0.1464 0.1272 0.1223 0.1669 0.1424 0.1285
#> [2,] 0.0114 0.1799 0.2486 0.2973 0.3672 0.4394 0.5258 0.6755 0.7402 0.8284
#> [3,] 0.0095 0.3745 0.4229 0.4499 0.5404 0.4303 0.3333 0.3496 0.3426 0.2851
#> [4,] 0.0115 0.0734 0.0740 0.0622 0.1055 0.1183 0.1721 0.2584 0.3232 0.3817
#> [5,] 0.0240 0.0389 0.1934 0.2434 0.2906 0.2606 0.3811 0.4997 0.3015 0.3655
#> [6,] 0.0158 0.1923 0.2361 0.2719 0.3049 0.2986 0.2226 0.1745 0.2459 0.3100
#> [7,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [8,] 0.0454 0.1675 0.2799 0.3323 0.4012 0.4296 0.5350 0.5411 0.6870 0.8045
#> [9,] 0.0235 0.3674 0.2974 0.0837 0.1912 0.5040 0.6352 0.6804 0.7505 0.6595
#> [10,] 0.0270 0.1520 0.1675 0.1370 0.1361 0.1345 0.2144 0.5354 0.6830 0.5600
#> [11,] 0.0654 0.3422 0.2128 0.1377 0.4032 0.5684 0.2398 0.4331 0.5954 0.5772
#> [12,] 0.0408 0.2176 0.2459 0.3332 0.3087 0.2613 0.3232 0.3731 0.4203 0.5364
#> [13,] 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> [14,] 0.0336 0.0842 0.0357 0.0689 0.1705 0.3257 0.4602 0.6225 0.7327 0.7843
#> [15,] 0.0228 0.2227 0.2621 0.3109 0.2859 0.3316 0.3755 0.4499 0.4765 0.6254
#> [16,] 0.0428 0.0113 0.1255 0.2473 0.3011 0.3747 0.4520 0.5392 0.6588 0.7113
#> [17,] 0.0015 0.1476 0.2118 0.2575 0.2354 0.1334 0.0092 0.1951 0.3685 0.4646
#> [18,] 0.0269 0.5915 0.6675 0.5679 0.5175 0.3334 0.2002 0.2856 0.2937 0.3424
#> [19,] 0.0235 0.3199 0.2946 0.2484 0.2510 0.1806 0.1413 0.3019 0.3635 0.3887
#> [20,] 0.0207 0.1234 0.1796 0.1787 0.1247 0.2577 0.3370 0.3990 0.1647 0.2266
#> [21,] 0.0201 0.1199 0.1742 0.1387 0.2042 0.2580 0.2616 0.2097 0.2532 0.3213
#> [22,] 0.0071 0.0898 0.0289 0.1554 0.1437 0.1035 0.1424 0.1227 0.0892 0.2047
#> [23,] 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> [24,] 0.0315 0.1533 0.2128 0.2536 0.2686 0.2803 0.1886 0.1485 0.2160 0.2417
#> [25,] 0.0050 0.2282 0.2521 0.3484 0.3309 0.2614 0.1782 0.2055 0.2298 0.3545
#> [26,] 0.0124 0.2120 0.1640 0.1901 0.3026 0.2019 0.0592 0.2390 0.3657 0.3809
#> [27,] 0.0195 0.0242 0.0728 0.0639 0.3002 0.3854 0.4767 0.4602 0.3175 0.4160
#> [28,] 0.0392 0.2471 0.2680 0.3049 0.2863 0.2294 0.1165 0.2127 0.2062 0.2222
#> [29,] 0.0179 0.5965 0.6254 0.4507 0.3693 0.2864 0.1635 0.0422 0.1785 0.4394
#> [30,] 0.0093 0.0640 0.0888 0.1599 0.1541 0.2768 0.2176 0.2799 0.3491 0.2824
#> [31,] 0.0311 0.0767 0.1767 0.2555 0.2812 0.2722 0.3227 0.3463 0.5395 0.7911
#> [32,] 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> [33,] 0.0414 0.1975 0.2309 0.3025 0.3938 0.5050 0.5872 0.6610 0.7417 0.8006
#> [34,] 0.0233 0.2078 0.1239 0.0236 0.1771 0.3115 0.4990 0.6707 0.7655 0.8485
#> [35,] 0.0374 0.2597 0.3483 0.3999 0.4574 0.5950 0.7924 0.8272 0.8087 0.8977
#> [36,] 0.0201 0.0279 0.2251 0.2615 0.1770 0.3709 0.4533 0.5553 0.4616 0.3797
#> [37,] 0.0131 0.3193 0.3468 0.3738 0.3055 0.1926 0.1385 0.2122 0.2758 0.4576
#> [38,] 0.0130 0.1375 0.2026 0.2389 0.2112 0.1444 0.0742 0.1533 0.3052 0.4116
#> [39,] 0.0211 0.0568 0.0869 0.1935 0.1478 0.1871 0.1994 0.3283 0.6861 0.5814
#> [40,] 0.0137 0.0874 0.1100 0.1084 0.1094 0.1023 0.0601 0.0906 0.1313 0.2758
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.1857 0.0403 0.1136 0.2069 0.0219 0.2400 0.2547 0.0240 0.1923 0.4753
#> [2,] 0.9033 0.0222 0.9584 1.0000 0.9982 0.8899 0.7493 0.6367 0.6744 0.7207
#> [3,] 0.4062 0.0308 0.6833 0.7650 0.6670 0.5703 0.5995 0.6484 0.8614 0.9819
#> [4,] 0.4243 0.0150 0.4217 0.4449 0.4075 0.3306 0.4012 0.4466 0.5218 0.7552
#> [5,] 0.6791 0.0218 0.7307 0.5053 0.4441 0.6987 0.8133 0.7781 0.8943 0.8929
#> [6,] 0.3572 0.0239 0.4283 0.4268 0.3735 0.4585 0.6094 0.7221 0.7595 0.8706
#> [7,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [8,] 0.9194 0.0472 0.9169 1.0000 0.9972 0.9093 0.7918 0.6705 0.5324 0.3572
#> [9,] 0.4509 0.0291 0.2964 0.4019 0.6794 0.8297 1.0000 0.8240 0.7115 0.7726
#> [10,] 0.3093 0.0092 0.3226 0.4430 0.5573 0.5782 0.6173 0.8132 0.9819 0.9823
#> [11,] 0.8176 0.0649 0.8835 0.5248 0.6373 0.8375 0.6699 0.7756 0.8750 0.8300
#> [12,] 0.7062 0.0653 0.8196 0.8835 0.8299 0.7609 0.7605 0.8367 0.8905 0.7652
#> [13,] 0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> [14,] 0.7988 0.0294 0.8261 1.0000 0.9814 0.9620 0.9601 0.9118 0.9086 0.7931
#> [15,] 0.7304 0.0106 0.8702 0.9349 0.9614 0.9126 0.9443 1.0000 0.9455 0.8815
#> [16,] 0.7602 0.0555 0.8672 0.8416 0.7974 0.8385 0.9317 0.8555 0.6162 0.4139
#> [17,] 0.5418 0.0186 0.6260 0.7420 0.8257 0.8609 0.8400 0.8949 0.9945 1.0000
#> [18,] 0.5949 0.0383 0.7526 0.8959 0.8147 0.7109 0.7378 0.7201 0.8254 0.8917
#> [19,] 0.2980 0.0220 0.2219 0.1624 0.1343 0.2046 0.3791 0.5771 0.7545 0.8406
#> [20,] 0.3219 0.0535 0.5356 0.8159 1.0000 0.8701 0.6889 0.6299 0.5738 0.5707
#> [21,] 0.4327 0.0116 0.4760 0.5328 0.6057 0.6696 0.7476 0.8930 0.9405 1.0000
#> [22,] 0.0827 0.0103 0.1524 0.3031 0.1608 0.0667 0.1426 0.0395 0.1653 0.3399
#> [23,] 0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> [24,] 0.2989 0.0252 0.3341 0.3786 0.3956 0.5232 0.6913 0.7868 0.8337 0.9199
#> [25,] 0.6218 0.0017 0.7265 0.8346 0.8268 0.8366 0.9408 0.9510 0.9801 0.9974
#> [26,] 0.5929 0.0433 0.6299 0.5801 0.4574 0.4449 0.3691 0.6446 0.8940 0.8978
#> [27,] 0.6428 0.0213 1.0000 0.8631 0.5212 0.3156 0.5952 0.7732 0.6042 0.4375
#> [28,] 0.3241 0.0108 0.4330 0.5071 0.5944 0.7078 0.7641 0.8878 0.9711 0.9880
#> [29,] 0.6950 0.0136 0.8097 0.8550 0.8717 0.8601 0.9201 0.8729 0.8084 0.8694
#> [30,] 0.2479 0.0185 0.3005 0.4300 0.4684 0.4520 0.5026 0.6217 0.6571 0.6632
#> [31,] 0.9064 0.0491 0.8701 0.7672 0.2957 0.4148 0.6043 0.3178 0.3482 0.6158
#> [32,] 0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> [33,] 0.8456 0.0436 0.7939 0.8804 0.8384 0.7852 0.8479 0.7434 0.6433 0.5514
#> [34,] 0.9805 0.0394 1.0000 1.0000 0.9992 0.9067 0.6803 0.5103 0.4716 0.4980
#> [35,] 0.9828 0.0586 0.8982 0.8890 0.9367 0.9122 0.7936 0.6718 0.6318 0.4865
#> [36,] 0.3450 0.0423 0.2665 0.2395 0.1127 0.2556 0.5169 0.3779 0.4082 0.5353
#> [37,] 0.6487 0.0387 0.7154 0.8010 0.7924 0.8793 1.0000 0.9865 0.9474 0.9474
#> [38,] 0.5466 0.0120 0.5933 0.6663 0.7333 0.7136 0.7014 0.7758 0.9137 0.9964
#> [39,] 0.2500 0.0319 0.1734 0.3363 0.5588 0.6592 0.7012 0.8099 0.8901 0.8745
#> [40,] 0.3660 0.0297 0.5269 0.5810 0.6181 0.5875 0.4639 0.5424 0.7367 0.9089
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.7003 0.6825 0.0317 0.6443 0.7063 0.5373 0.6601 0.8708 0.9518 0.9605
#> [2,] 0.6821 0.5512 0.0269 0.4789 0.3924 0.2533 0.1089 0.1390 0.2551 0.3301
#> [3,] 0.9380 0.8435 0.0539 0.6074 0.5403 0.6890 0.5977 0.3244 0.0516 0.3157
#> [4,] 0.9503 1.0000 0.0136 0.9084 0.8283 0.7571 0.7262 0.6152 0.5680 0.5757
#> [5,] 0.8913 0.8610 0.0324 0.8063 0.5540 0.2446 0.3459 0.1615 0.2467 0.5564
#> [6,] 1.0000 0.9815 0.0150 0.7187 0.5848 0.4192 0.3756 0.3263 0.1944 0.1394
#> [7,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [8,] 0.2484 0.3161 0.0697 0.3775 0.3138 0.1713 0.2937 0.5234 0.5926 0.5437
#> [9,] 0.6124 0.4936 0.0749 0.5648 0.4906 0.1820 0.1811 0.1107 0.4603 0.6650
#> [10,] 0.9166 0.7423 0.0145 0.7736 0.8473 0.7352 0.6671 0.6083 0.6239 0.5972
#> [11,] 0.6896 0.3372 0.0737 0.6405 0.7138 0.8202 0.6657 0.5254 0.2960 0.0704
#> [12,] 0.5897 0.3037 0.0397 0.0823 0.2787 0.7241 0.8032 0.8050 0.7676 0.7468
#> [13,] 0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> [14,] 0.5877 0.3474 0.0476 0.4235 0.4633 0.3410 0.2849 0.2847 0.1742 0.0549
#> [15,] 0.7520 0.7068 0.0130 0.5986 0.3857 0.2510 0.2162 0.0968 0.1323 0.1344
#> [16,] 0.3269 0.3108 0.0708 0.2554 0.3367 0.4465 0.5000 0.5111 0.5194 0.4619
#> [17,] 0.9649 0.8747 0.0289 0.6257 0.2184 0.2945 0.3645 0.5012 0.7843 0.9361
#> [18,] 0.9820 0.8179 0.0505 0.4848 0.3203 0.2775 0.2382 0.2911 0.1675 0.3156
#> [19,] 0.8547 0.9036 0.0167 1.0000 0.9646 0.7912 0.6412 0.5986 0.6835 0.7771
#> [20,] 0.5976 0.4301 0.0334 0.2058 0.1000 0.2247 0.2308 0.3977 0.3317 0.1726
#> [21,] 0.9785 0.8473 0.0123 0.7639 0.6701 0.4989 0.3718 0.2196 0.1416 0.2680
#> [22,] 0.4855 0.5206 0.0135 0.5508 0.6102 0.5989 0.6764 0.8897 1.0000 0.9517
#> [23,] 0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> [24,] 1.0000 0.8990 0.0167 0.6456 0.5967 0.4355 0.2997 0.2294 0.1866 0.0922
#> [25,] 1.0000 0.9036 0.0270 0.6409 0.3857 0.2908 0.2040 0.1653 0.1769 0.1140
#> [26,] 0.4980 0.3333 0.0604 0.2350 0.1553 0.3666 0.4340 0.3082 0.3024 0.4109
#> [27,] 0.5487 0.4720 0.0058 0.6235 0.3851 0.1590 0.3891 0.5294 0.3504 0.4480
#> [28,] 0.9812 0.9464 0.0267 0.8542 0.6457 0.3397 0.3828 0.3204 0.1331 0.0440
#> [29,] 0.8411 0.5793 0.0408 0.3754 0.3485 0.4639 0.6495 0.6901 0.5666 0.5188
#> [30,] 0.7321 0.8534 0.0056 1.0000 0.8448 0.6354 0.6308 0.6211 0.6976 0.5868
#> [31,] 0.8049 0.6289 0.0692 0.4999 0.5830 0.6660 0.4124 0.1260 0.2487 0.4676
#> [32,] 0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> [33,] 0.3519 0.3168 0.0447 0.3346 0.2056 0.1032 0.3168 0.4040 0.4282 0.4538
#> [34,] 0.6196 0.7171 0.0416 0.6316 0.3554 0.2897 0.4316 0.3791 0.2421 0.0944
#> [35,] 0.3388 0.4832 0.0628 0.3822 0.3075 0.1267 0.0743 0.1510 0.1906 0.1817
#> [36,] 0.5116 0.4544 0.0554 0.4258 0.3869 0.3939 0.4661 0.3974 0.2194 0.1816
#> [37,] 0.9315 0.8326 0.0329 0.6213 0.3772 0.2822 0.2042 0.2190 0.2223 0.1327
#> [38,] 1.0000 0.8881 0.0436 0.6585 0.2707 0.1746 0.2709 0.4853 0.7184 0.8209
#> [39,] 0.7887 0.8725 0.0415 0.9376 0.8920 0.7508 0.6832 0.7610 0.9017 1.0000
#> [40,] 1.0000 0.8247 0.0116 0.5441 0.3349 0.0877 0.1600 0.4169 0.6576 0.7390
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.7712 0.6772 0.6431 0.0293 0.6720 0.6035 0.5155 0.3802 0.2278 0.1522
#> [2,] 0.2818 0.2142 0.2266 0.0384 0.2142 0.2354 0.2871 0.2596 0.1925 0.1256
#> [3,] 0.3590 0.3881 0.5716 0.0411 0.4314 0.3051 0.4393 0.4302 0.4831 0.5084
#> [4,] 0.5324 0.3672 0.1669 0.0076 0.0866 0.0646 0.1891 0.2683 0.2887 0.2341
#> [5,] 0.4681 0.0979 0.1582 0.0569 0.0751 0.3321 0.3745 0.2666 0.1078 0.1418
#> [6,] 0.1670 0.1275 0.1666 0.0494 0.2574 0.2258 0.2777 0.1613 0.1335 0.1976
#> [7,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [8,] 0.4516 0.3379 0.3215 0.1021 0.2178 0.1674 0.2634 0.2980 0.2037 0.1155
#> [9,] 0.6423 0.2166 0.1951 0.0519 0.4947 0.4925 0.4041 0.2402 0.1392 0.1779
#> [10,] 0.5715 0.5242 0.2924 0.0278 0.1536 0.2003 0.2031 0.2207 0.1778 0.1353
#> [11,] 0.0970 0.3941 0.6028 0.1132 0.3521 0.3924 0.4808 0.4602 0.4164 0.5438
#> [12,] 0.6253 0.1730 0.2916 0.0604 0.5003 0.5220 0.4824 0.4004 0.3877 0.1651
#> [13,] 0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> [14,] 0.1192 0.1154 0.0855 0.0539 0.1811 0.1264 0.0799 0.0378 0.1268 0.1125
#> [15,] 0.2250 0.3244 0.3939 0.0842 0.3806 0.3258 0.3654 0.2983 0.1779 0.1535
#> [16,] 0.4234 0.4372 0.4277 0.0618 0.4433 0.3700 0.3324 0.2564 0.2527 0.2137
#> [17,] 0.8195 0.6207 0.4513 0.0195 0.3004 0.2674 0.2241 0.3141 0.3693 0.2986
#> [18,] 0.1869 0.3391 0.5993 0.0707 0.4124 0.1181 0.3651 0.4655 0.4777 0.3517
#> [19,] 0.8084 0.7426 0.6295 0.0516 0.5708 0.4433 0.3361 0.3795 0.4950 0.4373
#> [20,] 0.1429 0.2168 0.1967 0.0818 0.2140 0.3674 0.2023 0.0778 0.0925 0.2388
#> [21,] 0.2630 0.3104 0.3392 0.0245 0.2123 0.1170 0.2655 0.2203 0.1541 0.1464
#> [22,] 0.8459 0.7073 0.6697 0.0494 0.6326 0.5102 0.4161 0.2816 0.1705 0.1421
#> [23,] 0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> [24,] 0.1829 0.1743 0.2452 0.0479 0.2407 0.2518 0.3184 0.1685 0.0675 0.1186
#> [25,] 0.0740 0.0941 0.0621 0.0450 0.0426 0.0572 0.1068 0.1909 0.2229 0.2203
#> [26,] 0.5501 0.4129 0.5499 0.0449 0.5018 0.3132 0.2802 0.2351 0.2298 0.1155
#> [27,] 0.4041 0.5031 0.6475 0.0190 0.5493 0.3548 0.2028 0.1882 0.0845 0.1315
#> [28,] 0.1234 0.2030 0.1652 0.0257 0.1043 0.1066 0.2110 0.2417 0.1631 0.0769
#> [29,] 0.5060 0.3885 0.3762 0.0633 0.3738 0.2605 0.1591 0.1875 0.2267 0.1577
#> [30,] 0.4889 0.3683 0.2043 0.0064 0.1469 0.2220 0.1449 0.1490 0.1211 0.1144
#> [31,] 0.5382 0.3150 0.2139 0.0831 0.1848 0.1679 0.2328 0.1015 0.0713 0.0615
#> [32,] 0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> [33,] 0.3704 0.3741 0.3839 0.0844 0.3494 0.4380 0.4265 0.2854 0.2808 0.2395
#> [34,] 0.0351 0.0844 0.0436 0.0547 0.1130 0.2045 0.1937 0.0834 0.1502 0.1675
#> [35,] 0.1709 0.0946 0.2829 0.0534 0.3006 0.1602 0.1483 0.2875 0.2047 0.1064
#> [36,] 0.1023 0.2108 0.3253 0.0783 0.3697 0.2912 0.3010 0.2563 0.1927 0.2062
#> [37,] 0.0521 0.0618 0.1416 0.0078 0.1460 0.0846 0.1055 0.1639 0.1916 0.2085
#> [38,] 0.7536 0.6496 0.4708 0.0624 0.3482 0.3508 0.3181 0.3524 0.3659 0.2846
#> [39,] 0.9123 0.7388 0.5915 0.0286 0.4057 0.3019 0.2331 0.2931 0.2298 0.2391
#> [40,] 0.7963 0.7493 0.6795 0.0082 0.4713 0.2355 0.1704 0.2728 0.4016 0.4125
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.0801 0.0804 0.0752 0.0566 0.0820 0.0175 0.0058 0.0091 0.0160 0.0160
#> [2,] 0.1003 0.0951 0.1210 0.0728 0.1217 0.0174 0.0213 0.0269 0.0152 0.0257
#> [3,] 0.1952 0.1539 0.2037 0.1054 0.0613 0.0251 0.0357 0.0181 0.0019 0.0102
#> [4,] 0.1668 0.1015 0.1195 0.0704 0.0211 0.0167 0.0107 0.0091 0.0016 0.0084
#> [5,] 0.1687 0.0738 0.0634 0.0144 0.0330 0.0226 0.0061 0.0162 0.0146 0.0093
#> [6,] 0.1234 0.1554 0.1057 0.0490 0.0988 0.0097 0.0223 0.0121 0.0108 0.0057
#> [7,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [8,] 0.0919 0.0882 0.0228 0.0380 0.1397 0.0142 0.0137 0.0120 0.0042 0.0238
#> [9,] 0.1946 0.1723 0.1522 0.0929 0.0227 0.0179 0.0242 0.0083 0.0037 0.0095
#> [10,] 0.1373 0.0749 0.0472 0.0325 0.0412 0.0179 0.0045 0.0084 0.0010 0.0018
#> [11,] 0.5649 0.3195 0.2484 0.1299 0.2482 0.0825 0.0243 0.0210 0.0361 0.0239
#> [12,] 0.0442 0.0663 0.0418 0.0475 0.0496 0.0235 0.0066 0.0062 0.0129 0.0184
#> [13,] 0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> [14,] 0.0505 0.0949 0.0677 0.0259 0.0794 0.0170 0.0033 0.0150 0.0111 0.0032
#> [15,] 0.1199 0.0959 0.0765 0.0649 0.1117 0.0313 0.0185 0.0098 0.0178 0.0077
#> [16,] 0.1789 0.1010 0.0528 0.0453 0.1215 0.0118 0.0009 0.0142 0.0179 0.0079
#> [17,] 0.2226 0.0849 0.0359 0.0289 0.0515 0.0122 0.0045 0.0108 0.0075 0.0089
#> [18,] 0.0920 0.1227 0.1785 0.1085 0.1313 0.0300 0.0346 0.0167 0.0199 0.0145
#> [19,] 0.2404 0.1128 0.1654 0.0933 0.0746 0.0225 0.0214 0.0221 0.0152 0.0083
#> [20,] 0.3400 0.2594 0.1102 0.0911 0.0740 0.0462 0.0171 0.0033 0.0050 0.0190
#> [21,] 0.1044 0.1225 0.0745 0.0490 0.0547 0.0224 0.0032 0.0076 0.0045 0.0056
#> [22,] 0.0971 0.0879 0.0863 0.0355 0.0253 0.0233 0.0252 0.0043 0.0048 0.0076
#> [23,] 0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> [24,] 0.1833 0.1878 0.1114 0.0310 0.0902 0.0143 0.0138 0.0108 0.0062 0.0044
#> [25,] 0.2265 0.1766 0.1097 0.0558 0.0958 0.0142 0.0281 0.0165 0.0056 0.0010
#> [26,] 0.0724 0.0621 0.0318 0.0450 0.0597 0.0167 0.0078 0.0083 0.0057 0.0174
#> [27,] 0.1590 0.0562 0.0617 0.0343 0.0319 0.0370 0.0261 0.0157 0.0074 0.0271
#> [28,] 0.0723 0.0912 0.0812 0.0496 0.0410 0.0101 0.0089 0.0083 0.0080 0.0026
#> [29,] 0.1211 0.0883 0.0850 0.0355 0.0596 0.0219 0.0086 0.0123 0.0060 0.0187
#> [30,] 0.0791 0.0365 0.0152 0.0085 0.0260 0.0120 0.0022 0.0069 0.0064 0.0129
#> [31,] 0.0779 0.0761 0.0845 0.0592 0.0079 0.0068 0.0089 0.0087 0.0032 0.0130
#> [32,] 0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> [33,] 0.0369 0.0805 0.0541 0.0177 0.0419 0.0065 0.0222 0.0045 0.0136 0.0113
#> [34,] 0.1058 0.1111 0.0849 0.0596 0.0993 0.0201 0.0071 0.0104 0.0062 0.0026
#> [35,] 0.1395 0.1065 0.0527 0.0395 0.0255 0.0183 0.0353 0.0118 0.0063 0.0237
#> [36,] 0.1751 0.0841 0.1035 0.0641 0.0620 0.0153 0.0081 0.0191 0.0182 0.0160
#> [37,] 0.2335 0.1964 0.1300 0.0633 0.0721 0.0183 0.0137 0.0150 0.0076 0.0032
#> [38,] 0.1714 0.0694 0.0303 0.0292 0.0428 0.0116 0.0024 0.0084 0.0100 0.0018
#> [39,] 0.1910 0.1096 0.0300 0.0171 0.0121 0.0383 0.0053 0.0090 0.0042 0.0153
#> [40,] 0.3470 0.2739 0.1790 0.0922 0.0241 0.0276 0.0169 0.0081 0.0040 0.0025
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0081 0.0070 0.0135 0.0067 0.0078 0.1342 0.0068 0.1161 0.0663 0.0155
#> [2,] 0.0097 0.0041 0.0050 0.0145 0.0103 0.2062 0.0025 0.1489 0.0929 0.1350
#> [3,] 0.0133 0.0040 0.0042 0.0030 0.0031 0.1039 0.0033 0.1016 0.1394 0.2592
#> [4,] 0.0064 0.0026 0.0029 0.0037 0.0070 0.1058 0.0041 0.1023 0.0440 0.0931
#> [5,] 0.0112 0.0094 0.0054 0.0019 0.0066 0.0513 0.0023 0.0897 0.0713 0.0569
#> [6,] 0.0028 0.0079 0.0034 0.0046 0.0022 0.1425 0.0021 0.1463 0.1219 0.1697
#> [7,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [8,] 0.0129 0.0084 0.0218 0.0321 0.0154 0.1493 0.0053 0.1487 0.0771 0.1171
#> [9,] 0.0105 0.0030 0.0132 0.0068 0.0108 0.0834 0.0090 0.0677 0.2002 0.2876
#> [10,] 0.0068 0.0039 0.0120 0.0132 0.0070 0.0757 0.0088 0.1026 0.1138 0.0794
#> [11,] 0.0447 0.0394 0.0355 0.0440 0.0243 0.1257 0.0098 0.1797 0.0989 0.2460
#> [12,] 0.0069 0.0198 0.0199 0.0102 0.0070 0.1817 0.0055 0.1178 0.1024 0.0583
#> [13,] 0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> [14,] 0.0035 0.0169 0.0137 0.0015 0.0069 0.0804 0.0051 0.1136 0.1228 0.1235
#> [15,] 0.0074 0.0095 0.0055 0.0045 0.0063 0.1506 0.0039 0.1776 0.0997 0.1428
#> [16,] 0.0060 0.0131 0.0089 0.0084 0.0113 0.1524 0.0049 0.1543 0.0391 0.0610
#> [17,] 0.0036 0.0029 0.0013 0.0010 0.0032 0.0817 0.0047 0.1005 0.0124 0.1168
#> [18,] 0.0081 0.0045 0.0043 0.0027 0.0055 0.2103 0.0057 0.2263 0.2524 0.3595
#> [19,] 0.0058 0.0023 0.0057 0.0052 0.0027 0.1121 0.0021 0.1258 0.1717 0.3074
#> [20,] 0.0103 0.0121 0.0042 0.0090 0.0070 0.0324 0.0099 0.0918 0.1070 0.1553
#> [21,] 0.0075 0.0037 0.0045 0.0029 0.0008 0.0208 0.0018 0.0891 0.0836 0.1335
#> [22,] 0.0124 0.0105 0.0054 0.0032 0.0073 0.0806 0.0063 0.0701 0.0738 0.0117
#> [23,] 0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> [24,] 0.0072 0.0007 0.0054 0.0035 0.0001 0.1057 0.0055 0.1024 0.1209 0.1241
#> [25,] 0.0027 0.0062 0.0024 0.0063 0.0017 0.0830 0.0028 0.0879 0.1220 0.1977
#> [26,] 0.0188 0.0054 0.0114 0.0196 0.0147 0.0355 0.0062 0.0531 0.0343 0.1052
#> [27,] 0.0203 0.0089 0.0095 0.0095 0.0021 0.0571 0.0053 0.1004 0.0668 0.0691
#> [28,] 0.0079 0.0042 0.0071 0.0044 0.0022 0.0491 0.0014 0.1053 0.1690 0.2105
#> [29,] 0.0111 0.0126 0.0081 0.0155 0.0160 0.0808 0.0085 0.2090 0.3465 0.5276
#> [30,] 0.0114 0.0054 0.0089 0.0050 0.0058 0.0458 0.0025 0.0470 0.0057 0.0425
#> [31,] 0.0188 0.0101 0.0229 0.0182 0.0046 0.0200 0.0038 0.0981 0.1016 0.2025
#> [32,] 0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> [33,] 0.0053 0.0165 0.0141 0.0077 0.0246 0.1215 0.0198 0.2002 0.1516 0.0818
#> [34,] 0.0025 0.0061 0.0038 0.0101 0.0078 0.1515 0.0006 0.1674 0.1513 0.1723
#> [35,] 0.0032 0.0087 0.0124 0.0113 0.0098 0.1422 0.0126 0.2072 0.2734 0.3070
#> [36,] 0.0290 0.0090 0.0242 0.0224 0.0190 0.0871 0.0096 0.1201 0.2707 0.1206
#> [37,] 0.0037 0.0071 0.0040 0.0009 0.0015 0.1341 0.0085 0.1626 0.1902 0.2610
#> [38,] 0.0035 0.0058 0.0011 0.0009 0.0033 0.0349 0.0026 0.0384 0.0446 0.1318
#> [39,] 0.0106 0.0020 0.0105 0.0049 0.0070 0.0438 0.0080 0.1299 0.1390 0.0695
#> [40,] 0.0036 0.0058 0.0067 0.0035 0.0043 0.0253 0.0033 0.0279 0.0130 0.0489
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.5325728 0.5625443 0.5263761 0.5675698 0.4626042 0.4948147 0.5022145
#> [2,] 0.4943360 0.4855181 0.5158413 0.5699523 0.4915211 0.5234543 0.5705892
#> [3,] 0.5149819 0.5008116 0.5280812 0.5520329 0.4417350 0.5266522 0.5609607
#> [4,] 0.5100136 0.5307414 0.5223129 0.5883246 0.4636470 0.5161914 0.5098119
#> [5,] 0.4777300 0.5080099 0.5171047 0.5877444 0.4679505 0.5215653 0.5551603
#> [6,] 0.5016863 0.5251094 0.5227726 0.5745353 0.4583382 0.5302063 0.5366930
#> [7,] 0.5401858 0.5280093 0.5044887 0.5639123 0.4628602 0.5018900 0.5433380
#> [8,] 0.5032346 0.4884499 0.5144258 0.5670978 0.5080524 0.5177895 0.5648918
#> [9,] 0.5192920 0.5380062 0.5077735 0.5897115 0.4690299 0.5247778 0.5338845
#> [10,] 0.5007604 0.5337197 0.5224966 0.5966678 0.4551507 0.5164566 0.5067341
#> [11,] 0.5193310 0.5092388 0.5166657 0.5817848 0.4696500 0.5249133 0.5664956
#> [12,] 0.5252954 0.4966548 0.5260265 0.5831240 0.4693865 0.4984515 0.5437628
#> [13,] 0.5286882 0.5648133 0.5255140 0.5650244 0.4619874 0.4944312 0.5005225
#> [14,] 0.4936995 0.5016065 0.5145518 0.5765501 0.4831828 0.5233302 0.5541356
#> [15,] 0.4921189 0.5008424 0.5178428 0.5575991 0.4697910 0.5233164 0.5759069
#> [16,] 0.5113241 0.5009746 0.5205076 0.5729771 0.4851622 0.5194291 0.5579319
#> [17,] 0.5124498 0.5076766 0.5279187 0.5922994 0.4846112 0.5234727 0.5502215
#> [18,] 0.5099639 0.4875915 0.5260634 0.5435044 0.4736267 0.5351111 0.5795882
#> [19,] 0.5239943 0.5528622 0.5166960 0.5800534 0.4432918 0.5166581 0.5076576
#> [20,] 0.5306255 0.5013588 0.5178481 0.5675580 0.4925605 0.5237229 0.5734824
#> [21,] 0.4968457 0.5271792 0.5176171 0.5682082 0.4588709 0.5219187 0.5387684
#> [22,] 0.5423519 0.5577315 0.5227054 0.5600603 0.4634443 0.4955983 0.4928568
#> [23,] 0.4844787 0.5025486 0.5157908 0.5857188 0.4792581 0.5389394 0.5569079
#> [24,] 0.5048684 0.5260478 0.5258533 0.5725425 0.4602916 0.5303583 0.5346493
#> [25,] 0.4967990 0.4892413 0.5216514 0.5758997 0.4834047 0.5402015 0.5656151
#> [26,] 0.5076713 0.5130029 0.5367091 0.5448975 0.4713358 0.5105072 0.5537482
#> [27,] 0.4882086 0.5178992 0.5108823 0.5522277 0.4547892 0.5142861 0.5442197
#> [28,] 0.4893669 0.5219666 0.5231096 0.5663443 0.4630405 0.5230901 0.5398260
#> [29,] 0.5131577 0.5078006 0.5203372 0.5656930 0.4779681 0.5298534 0.5536109
#> [30,] 0.4999237 0.5371756 0.5088508 0.5889300 0.4628149 0.5048603 0.4978748
#> [31,] 0.4922573 0.5083248 0.5300665 0.5711073 0.4783980 0.5354303 0.5340458
#> [32,] 0.4918325 0.4891166 0.5143258 0.5582784 0.4825105 0.5325141 0.5793514
#> [33,] 0.5014002 0.4986119 0.5166250 0.5641688 0.4886327 0.5155457 0.5650569
#> [34,] 0.4949059 0.4965793 0.5112882 0.5839223 0.4871130 0.5250693 0.5700759
#> [35,] 0.4965460 0.4779106 0.5084570 0.5625556 0.4999163 0.5188035 0.5798531
#> [36,] 0.5111242 0.5218740 0.5199772 0.5619173 0.4708511 0.5193623 0.5347969
#> [37,] 0.5018055 0.4953021 0.5223580 0.5750942 0.4868851 0.5442030 0.5640229
#> [38,] 0.5095308 0.5187893 0.5289727 0.5804435 0.4815554 0.5196100 0.5506913
#> [39,] 0.5164540 0.5518313 0.5155999 0.6015995 0.4552960 0.5104357 0.4952020
#> [40,] 0.5309492 0.5328057 0.5391218 0.5691841 0.4880340 0.5280564 0.5503348
#> [,8] [,9] [,10]
#> [1,] 0.4906189 0.4103364 0.5516324
#> [2,] 0.5016650 0.4631379 0.5392086
#> [3,] 0.5086888 0.4402346 0.5370950
#> [4,] 0.4872507 0.4383960 0.5335202
#> [5,] 0.4963904 0.4624663 0.5197812
#> [6,] 0.5161029 0.4778591 0.5319625
#> [7,] 0.5125651 0.4504114 0.5495170
#> [8,] 0.4902907 0.4517213 0.5238490
#> [9,] 0.5046862 0.4779789 0.5344175
#> [10,] 0.5077700 0.4557544 0.5244493
#> [11,] 0.4987146 0.4347637 0.5522308
#> [12,] 0.5060642 0.4185406 0.5352962
#> [13,] 0.4835478 0.4161785 0.5537850
#> [14,] 0.5166957 0.4845183 0.5253509
#> [15,] 0.5181684 0.4668675 0.5298603
#> [16,] 0.4995558 0.4422529 0.5214254
#> [17,] 0.4763997 0.4386991 0.5390248
#> [18,] 0.5102356 0.4567108 0.5417336
#> [19,] 0.4909151 0.4279174 0.5331262
#> [20,] 0.4993856 0.4722269 0.5433156
#> [21,] 0.5160130 0.4701540 0.5266221
#> [22,] 0.4841730 0.4134084 0.5456334
#> [23,] 0.5058359 0.4894725 0.5145726
#> [24,] 0.5182533 0.4805853 0.5319331
#> [25,] 0.5009240 0.4767646 0.5264621
#> [26,] 0.5094545 0.4572844 0.5299282
#> [27,] 0.4901660 0.4589714 0.5179364
#> [28,] 0.5227744 0.4862356 0.5226757
#> [29,] 0.4913128 0.4374192 0.5325222
#> [30,] 0.4986120 0.4568703 0.5249912
#> [31,] 0.4748435 0.4401653 0.5294188
#> [32,] 0.5154040 0.4820458 0.5238176
#> [33,] 0.5089892 0.4634619 0.5245974
#> [34,] 0.5027271 0.4658471 0.5398123
#> [35,] 0.5133161 0.4805617 0.5132291
#> [36,] 0.5223106 0.4826490 0.5244213
#> [37,] 0.5089616 0.4752392 0.5315294
#> [38,] 0.4784668 0.4459529 0.5424839
#> [39,] 0.4964760 0.4328995 0.5306990
#> [40,] 0.4744172 0.4388177 0.5584351
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5219088 0.4780912
#> [2,] 0.5278745 0.4721255
#> [3,] 0.5259463 0.4740537
#> [4,] 0.5232900 0.4767100
#> [5,] 0.5259362 0.4740638
#> [6,] 0.5252629 0.4747371
#> [7,] 0.5248037 0.4751963
#> [8,] 0.5273550 0.4726450
#> [9,] 0.5243949 0.4756051
#> [10,] 0.5234657 0.4765343
#> [11,] 0.5260444 0.4739556
#> [12,] 0.5254602 0.4745398
#> [13,] 0.5217353 0.4782647
#> [14,] 0.5270290 0.4729710
#> [15,] 0.5274746 0.4725254
#> [16,] 0.5262682 0.4737318
#> [17,] 0.5253313 0.4746687
#> [18,] 0.5279343 0.4720657
#> [19,] 0.5219934 0.4780066
#> [20,] 0.5270755 0.4729245
#> [21,] 0.5252077 0.4747923
#> [22,] 0.5215754 0.4784246
#> [23,] 0.5267830 0.4732170
#> [24,] 0.5252660 0.4747340
#> [25,] 0.5274007 0.4725993
#> [26,] 0.5260923 0.4739077
#> [27,] 0.5249547 0.4750453
#> [28,] 0.5258188 0.4741812
#> [29,] 0.5257914 0.4742086
#> [30,] 0.5230827 0.4769173
#> [31,] 0.5251217 0.4748783
#> [32,] 0.5282360 0.4717640
#> [33,] 0.5271582 0.4728418
#> [34,] 0.5273539 0.4726461
#> [35,] 0.5286216 0.4713784
#> [36,] 0.5255877 0.4744123
#> [37,] 0.5274566 0.4725434
#> [38,] 0.5251557 0.4748443
#> [39,] 0.5219837 0.4780163
#> [40,] 0.5247654 0.4752346
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0.1304759532 0.251494408 0.10560233 0.2719427 -0.1498630309
#> [2,] -0.0226568336 -0.057943884 0.06338641 0.2816565 -0.0339188763
#> [3,] 0.0599453550 0.003246508 0.11244332 0.2088880 -0.2341235735
#> [4,] 0.0400597886 0.123121069 0.08931083 0.3570437 -0.1456691956
#> [5,] -0.0891391171 0.032042225 0.06844546 0.3546485 -0.1283741808
#> [6,] 0.0067454203 0.100521976 0.09115327 0.3003794 -0.1670343609
#> [7,] 0.1610907658 0.112154810 0.01795516 0.2570556 -0.1488334823
#> [8,] 0.0129387555 -0.046208663 0.05771922 0.2700200 0.0322124127
#> [9,] 0.0772064220 0.152318807 0.03109634 0.3627727 -0.1240390644
#> [10,] 0.0030417405 0.135083923 0.09004722 0.3915998 -0.1798808630
#> [11,] 0.0773625850 0.036959254 0.06668733 0.3301044 -0.1215495633
#> [12,] 0.1012680169 -0.013380926 0.10420022 0.3356109 -0.1226075161
#> [13,] 0.1148788394 0.260720065 0.10214460 0.2615788 -0.1523444686
#> [14,] -0.0252034454 0.006425992 0.05822381 0.3086272 -0.0672942052
#> [15,] -0.0315268201 0.003369553 0.07140163 0.2314237 -0.1209833891
#> [16,] 0.0453040492 0.003898514 0.08207663 0.2940083 -0.0593684500
#> [17,] 0.0498095820 0.030708844 0.11179093 0.3734791 -0.0615746219
#> [18,] 0.0398606913 -0.049644003 0.10434806 0.1744589 -0.1055913212
#> [19,] 0.0960510582 0.212241952 0.06680896 0.3229924 -0.2278128352
#> [20,] 0.1226555598 0.005435341 0.07142259 0.2718948 -0.0297600714
#> [21,] -0.0126173068 0.108824216 0.07049762 0.2745442 -0.1648888511
#> [22,] 0.1698144287 0.231960591 0.09088427 0.2414066 -0.1464843555
#> [23,] -0.0621052016 0.010194633 0.06318430 0.3462948 -0.0830153509
#> [24,] 0.0194744132 0.104285560 0.10350567 0.2922322 -0.1591687542
#> [25,] -0.0128042430 -0.043041436 0.08665996 0.3059637 -0.0664057181
#> [26,] 0.0306874332 0.052023197 0.14710105 0.1800748 -0.1147826298
#> [27,] -0.0471745040 0.071627313 0.04353617 0.2096758 -0.1813385972
#> [28,] -0.0425389442 0.087923119 0.09250416 0.2669513 -0.1481081230
#> [29,] 0.0526428664 0.031204873 0.08139382 0.2642999 -0.0881847685
#> [30,] -0.0003051908 0.148977480 0.03540709 0.3595439 -0.1490154430
#> [31,] -0.0309734219 0.033302402 0.12041112 0.2863702 -0.0864619161
#> [32,] -0.0326730754 -0.043540453 0.05731880 0.2341781 -0.0699865162
#> [33,] 0.0056009076 -0.005552256 0.06652439 0.2580985 -0.0454769598
#> [34,] -0.0203771231 -0.013682957 0.04516045 0.3388958 -0.0515593781
#> [35,] -0.0138163308 -0.088415203 0.03383130 0.2515405 -0.0003349941
#> [36,] 0.0445043109 0.087551938 0.07995141 0.2489471 -0.1167280906
#> [37,] 0.0072220088 -0.018792274 0.08949174 0.3026664 -0.0524715049
#> [38,] 0.0381279524 0.075192468 0.11602062 0.3245944 -0.0738118273
#> [39,] 0.0658397389 0.208072484 0.06241967 0.4121341 -0.1792947699
#> [40,] 0.1239552892 0.131411578 0.15680780 0.2785233 -0.0478731431
#> [,6] [,7] [,8] [,9] [,10]
#> [1,] -0.020741766 0.008857935 -0.037528917 -0.36257488 0.20726837
#> [2,] 0.093885978 0.284255341 0.006660021 -0.14771622 0.15715711
#> [3,] 0.106709754 0.245061841 0.034758634 -0.24020990 0.14865318
#> [4,] 0.064788131 0.039252759 -0.051008344 -0.24767417 0.13428202
#> [5,] 0.086314551 0.221542998 -0.014438725 -0.15041766 0.07916606
#> [6,] 0.120972469 0.147036292 0.064434060 -0.08862174 0.12802474
#> [7,] 0.007559873 0.173787885 0.050271016 -0.19900854 0.19871939
#> [8,] 0.071188025 0.261039555 -0.038842210 -0.19371833 0.09546829
#> [9,] 0.099192598 0.135746022 0.018745376 -0.08814136 0.13788791
#> [10,] 0.065850251 0.026937924 0.031082646 -0.17744649 0.09787519
#> [11,] 0.099735640 0.267567310 -0.005141446 -0.26244129 0.20968824
#> [12,] -0.006193995 0.175500158 0.024257846 -0.32876734 0.14142007
#> [13,] -0.022276213 0.002089988 -0.065832612 -0.33848120 0.21597558
#> [14,] 0.093388787 0.217394653 0.066807567 -0.06194677 0.10149067
#> [15,] 0.093333256 0.305992919 0.072705802 -0.13272452 0.11958353
#> [16,] 0.077755648 0.232773160 -0.001776683 -0.23202387 0.08575406
#> [17,] 0.093959781 0.201565707 -0.094471368 -0.24644344 0.15641733
#> [18,] 0.140675971 0.321083091 0.040947970 -0.17359133 0.16732389
#> [19,] 0.066657256 0.030632633 -0.036343621 -0.29035339 0.13269923
#> [20,] 0.094962999 0.296073709 -0.002457545 -0.11120684 0.17369784
#> [21,] 0.087731033 0.155385443 0.064073858 -0.11952620 0.10658928
#> [22,] -0.017607295 -0.028574783 -0.063329142 -0.34989280 0.18304283
#> [23,] 0.156073810 0.228622106 0.023344555 -0.04211609 0.05830677
#> [24,] 0.121582846 0.138819857 0.073045617 -0.07769773 0.12790645
#> [25,] 0.161153718 0.263982923 0.003696181 -0.09300876 0.10594723
#> [26,] 0.042034974 0.215826670 0.037822507 -0.17127998 0.11985625
#> [27,] 0.057160087 0.177342036 -0.039341205 -0.16448427 0.07177639
#> [28,] 0.092426042 0.159642285 0.091160856 -0.05507138 0.09076492
#> [29,] 0.119555943 0.215271041 -0.034752492 -0.25164269 0.13027269
#> [30,] 0.019441628 -0.008500779 -0.005552003 -0.17294852 0.10004816
#> [31,] 0.141958985 0.136394089 -0.100711071 -0.24049109 0.11781115
#> [32,] 0.130240254 0.320111502 0.061635571 -0.07184766 0.09534240
#> [33,] 0.062202809 0.261711242 0.035960506 -0.14641348 0.09846916
#> [34,] 0.100361313 0.282160667 0.010908534 -0.13682452 0.15958689
#> [35,] 0.075249484 0.322170260 0.053276967 -0.07779237 0.05292874
#> [36,] 0.077487787 0.139413001 0.089301531 -0.06943181 0.09776302
#> [37,] 0.177274921 0.257505011 0.035850235 -0.09912429 0.12628508
#> [38,] 0.078480189 0.203464211 -0.086186118 -0.21703627 0.17034638
#> [39,] 0.041748765 -0.019192711 -0.014096127 -0.27003075 0.12295076
#> [40,] 0.112343576 0.202023594 -0.102420447 -0.24596175 0.23481358
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.1044895 0.016797990
#> [2,] 0.1218992 0.010285408
#> [3,] 0.1154020 0.011523453
#> [4,] 0.1075936 0.014366109
#> [5,] 0.1159095 0.012071342
#> [6,] 0.1131123 0.011974587
#> [7,] 0.1157622 0.016465946
#> [8,] 0.1215794 0.012050065
#> [9,] 0.1131287 0.015471563
#> [10,] 0.1071562 0.013224327
#> [11,] 0.1162436 0.011971439
#> [12,] 0.1144067 0.012477880
#> [13,] 0.1046317 0.017635832
#> [14,] 0.1193949 0.011173377
#> [15,] 0.1205964 0.010587138
#> [16,] 0.1172970 0.012127194
#> [17,] 0.1144107 0.012998760
#> [18,] 0.1213826 0.009529078
#> [19,] 0.1045220 0.016491737
#> [20,] 0.1221067 0.013698614
#> [21,] 0.1135737 0.012657487
#> [22,] 0.1045933 0.018237925
#> [23,] 0.1181859 0.010951109
#> [24,] 0.1130360 0.011885860
#> [25,] 0.1198908 0.010178257
#> [26,] 0.1169240 0.012459742
#> [27,] 0.1152143 0.015312618
#> [28,] 0.1150090 0.011641985
#> [29,] 0.1153749 0.012117807
#> [30,] 0.1080951 0.015698620
#> [31,] 0.1119457 0.011374118
#> [32,] 0.1232316 0.010167436
#> [33,] 0.1206436 0.011903611
#> [34,] 0.1205077 0.010982719
#> [35,] 0.1259277 0.011316125
#> [36,] 0.1154838 0.013043611
#> [37,] 0.1191747 0.009237767
#> [38,] 0.1145352 0.013827268
#> [39,] 0.1036172 0.015625651
#> [40,] 0.1130590 0.013916051
#>
#>
#> $e
#> [,1] [,2]
#> [1,] -0.5219088 0.5219088
#> [2,] 0.4721255 -0.4721255
#> [3,] 0.4740537 -0.4740537
#> [4,] -0.5232900 0.5232900
#> [5,] -0.5259362 0.5259362
#> [6,] 0.4747371 -0.4747371
#> [7,] -0.5248037 0.5248037
#> [8,] 0.4726450 -0.4726450
#> [9,] -0.5243949 0.5243949
#> [10,] -0.5234657 0.5234657
#> [11,] 0.4739556 -0.4739556
#> [12,] -0.5254602 0.5254602
#> [13,] -0.5217353 0.5217353
#> [14,] -0.5270290 0.5270290
#> [15,] 0.4725254 -0.4725254
#> [16,] 0.4737318 -0.4737318
#> [17,] 0.4746687 -0.4746687
#> [18,] 0.4720657 -0.4720657
#> [19,] 0.4780066 -0.4780066
#> [20,] 0.4729245 -0.4729245
#> [21,] -0.5252077 0.5252077
#> [22,] -0.5215754 0.5215754
#> [23,] -0.5267830 0.5267830
#> [24,] 0.4747340 -0.4747340
#> [25,] 0.4725993 -0.4725993
#> [26,] -0.5260923 0.5260923
#> [27,] -0.5249547 0.5249547
#> [28,] 0.4741812 -0.4741812
#> [29,] 0.4742086 -0.4742086
#> [30,] -0.5230827 0.5230827
#> [31,] -0.5251217 0.5251217
#> [32,] 0.4717640 -0.4717640
#> [33,] 0.4728418 -0.4728418
#> [34,] 0.4726461 -0.4726461
#> [35,] 0.4713784 -0.4713784
#> [36,] 0.4744123 -0.4744123
#> [37,] 0.4725434 -0.4725434
#> [38,] 0.4748443 -0.4748443
#> [39,] -0.5219837 0.5219837
#> [40,] 0.4752346 -0.4752346
#>
#> $L
#> [1] 0.6923218 0.6935272 0.6937586 0.6973352 0.7062439 0.6847272
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.4637681