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,] -0.058135804 0.04475184 -0.065879107 -0.03371252 -0.012810851
#> [2,] -0.050531531 0.10078720 -0.075363836 0.03631420 -0.084317088
#> [3,] -0.052440227 -0.03367348 -0.051763498 0.07887128 0.071970505
#> [4,] -0.012489093 0.08683155 -0.064050991 0.06636557 0.013703473
#> [5,] -0.070481643 -0.04081931 -0.010936492 0.04036572 0.095469056
#> [6,] -0.022874181 0.07657698 0.010753220 0.04058278 0.065735127
#> [7,] -0.032032160 -0.08367835 0.065930863 -0.01010687 -0.007337457
#> [8,] -0.098958204 -0.09441136 -0.002511395 0.07020762 0.006733529
#> [9,] 0.002017139 0.07631917 -0.018283688 0.02669813 0.020689632
#> [10,] -0.045848217 -0.01301917 -0.003706689 0.01568853 -0.062382047
#> V14 V15 V16 V17 V18
#> [1,] 0.085921507 -0.0515833008 -0.09948951 -0.015791539 0.004654493
#> [2,] 0.008268328 -0.0034956497 0.05776549 0.007822117 0.076146544
#> [3,] 0.065160630 -0.0591524965 -0.06947250 -0.031921143 -0.074928987
#> [4,] -0.030046260 -0.0149822375 0.06774375 0.042334440 -0.049272665
#> [5,] 0.026062618 0.0696691482 0.03454619 -0.012772299 0.054637040
#> [6,] 0.052508229 -0.0229388217 0.07666998 0.061825939 0.037909414
#> [7,] 0.008722985 -0.0936134027 -0.04850002 -0.069271371 -0.021946868
#> [8,] -0.068470161 -0.0641590518 0.03499189 -0.018006031 -0.025144479
#> [9,] 0.051501503 -0.0004818696 0.08824116 0.071599581 0.041850284
#> [10,] 0.007952120 -0.0884015247 -0.04181040 0.070384620 0.076415433
#> V19 V2 V20 V21 V22
#> [1,] 0.097896865 -0.004945161 -0.05651491 0.005339316 0.0362571697
#> [2,] 0.018865996 0.070923494 0.09913438 0.013809639 0.0006552003
#> [3,] -0.012203925 -0.053083572 0.04271676 -0.074346394 0.0882685687
#> [4,] 0.069397505 -0.013020053 0.07572793 0.082069392 0.0100232684
#> [5,] 0.079020809 -0.023723474 0.05184729 -0.051021062 0.0837377601
#> [6,] -0.001848528 -0.033756431 -0.06015581 -0.058053644 -0.0045520677
#> [7,] -0.024681593 -0.032602335 -0.07703166 -0.041981018 0.0924325772
#> [8,] -0.037655296 -0.074063993 -0.04877821 0.066081955 -0.0378783737
#> [9,] 0.046063279 0.012525130 0.01133035 -0.003199827 0.0891530065
#> [10,] -0.016692265 0.090585598 -0.04072707 0.087588774 -0.0417077679
#> V23 V24 V25 V26 V27
#> [1,] -0.0088719680 0.0203774725 0.099015029 0.034409844 -0.008076932
#> [2,] -0.0914479469 -0.0028833345 0.090813514 -0.024258577 0.059148162
#> [3,] 0.0004303035 -0.0040733917 -0.094007796 -0.018790171 0.086361597
#> [4,] 0.0922990138 0.0004767688 -0.022273959 -0.050638860 0.046622278
#> [5,] 0.0299050616 -0.0382947753 -0.016359457 0.003377436 -0.015823314
#> [6,] 0.0778777908 -0.0425747987 -0.065394449 -0.073370176 -0.023072290
#> [7,] 0.0263757366 -0.0820245887 0.024725201 -0.007640846 0.021333559
#> [8,] -0.0421708127 -0.0802819901 -0.007669985 -0.030580927 -0.094796470
#> [9,] 0.0462105777 0.0874938741 0.059147185 -0.041395539 -0.006468542
#> [10,] 0.0941328858 0.0998453446 -0.020733980 0.045144330 0.089386841
#> V28 V29 V3 V30 V31
#> [1,] -0.092090964 -0.046726856 -0.007649680 0.02613997 -0.02155283
#> [2,] -0.008272527 -0.011093449 0.052674993 0.07598533 0.09043833
#> [3,] -0.058384596 0.023943970 0.076837622 0.07443204 -0.07091537
#> [4,] -0.012619562 -0.055874575 0.095608928 -0.08039662 -0.03738256
#> [5,] -0.044891510 -0.095687259 0.042117125 0.08064567 -0.05601787
#> [6,] -0.021443656 0.065703967 -0.069100080 0.05154606 -0.01753202
#> [7,] 0.071182587 -0.006940281 0.046137197 -0.06145130 -0.04221896
#> [8,] 0.041065216 -0.048764062 -0.094435619 0.00868372 -0.04876388
#> [9,] -0.067362984 0.071997827 0.043203805 -0.03821224 0.06942062
#> [10,] 0.101113238 0.066029125 0.008784896 -0.06487683 -0.06947378
#> V32 V33 V34 V35 V36
#> [1,] -0.026266175 0.017431647 -0.0010699584 0.06471024 -0.0414998677
#> [2,] -0.088818350 0.043985895 -0.0590844745 0.09275058 -0.0490623576
#> [3,] 0.082851371 0.020908947 -0.0006130124 -0.02466896 0.0635710954
#> [4,] -0.075272806 -0.033651519 0.0821814351 0.02785445 -0.0107704326
#> [5,] -0.014736769 -0.052593769 -0.0983451471 -0.08387375 -0.0332498522
#> [6,] -0.009782453 0.008191574 -0.0975199300 -0.04975984 0.0276591896
#> [7,] 0.003381432 0.031641220 0.0283429470 0.05044236 0.0268507582
#> [8,] -0.013672959 0.037453625 0.0589413513 0.02983843 -0.0080996013
#> [9,] 0.057984273 -0.025020135 -0.0223979552 0.01412341 -0.0005047558
#> [10,] -0.073547233 -0.048917981 -0.0827840053 0.09160114 -0.0657536977
#> V37 V38 V39 V4 V40
#> [1,] -0.0392419785 0.026849834 0.02259521 -0.047472676 0.003243015
#> [2,] 0.0874872335 -0.009263739 0.05566252 -0.018630813 0.095680382
#> [3,] -0.0270279151 0.049707288 0.03363853 -0.007658476 -0.082244812
#> [4,] 0.0742647849 -0.095305017 -0.03286888 -0.065935481 -0.089959782
#> [5,] 0.0009501699 -0.081475705 0.03996247 0.030142343 -0.099757731
#> [6,] 0.0785232113 0.003707521 0.07184142 0.028083943 -0.011958273
#> [7,] -0.0291138648 0.053015182 0.03022595 0.097725669 -0.048983845
#> [8,] -0.0117874123 0.061625445 0.07028544 -0.005624496 0.058403292
#> [9,] -0.0738662138 -0.095420448 0.03957438 -0.066585750 0.096289197
#> [10,] -0.0711394913 -0.039254313 0.01671280 0.003481867 -0.096250602
#> V41 V42 V43 V44 V45
#> [1,] -0.065616003 0.0074220503 0.037501570 0.096386982 0.08358749
#> [2,] -0.030829933 -0.0687293132 -0.035167357 0.027056546 0.01027258
#> [3,] 0.043264445 0.0326545733 0.016960096 -0.105490237 -0.03307408
#> [4,] -0.036977174 0.0416285568 -0.018862641 0.013931094 0.06387451
#> [5,] 0.051495109 -0.0267298602 -0.036798814 0.010924318 0.01231451
#> [6,] -0.046734419 0.0872382758 -0.083541718 -0.006271392 -0.05635558
#> [7,] 0.003435282 0.0009182748 0.002903148 0.060591810 -0.04203690
#> [8,] 0.043902788 -0.0684406208 0.015345027 0.073487334 -0.07156797
#> [9,] 0.037665491 0.0646324292 -0.082678122 0.062237410 -0.02546267
#> [10,] 0.048976194 0.0983513386 -0.053537655 0.075866517 -0.06560223
#> V46 V47 V48 V49 V5
#> [1,] -0.070468167 0.005004635 -0.03255699 -0.005342249 0.032557785
#> [2,] -0.052409422 0.010614451 -0.06281361 -0.003702445 0.067299538
#> [3,] 0.011486673 -0.060686667 0.03565977 0.048195120 -0.011416702
#> [4,] 0.103465326 0.093038718 0.04685198 0.075378571 0.005949340
#> [5,] -0.079984139 -0.087123924 -0.03962472 0.052361228 -0.001679368
#> [6,] 0.101271452 0.039318799 -0.09225174 -0.039646729 -0.019718554
#> [7,] -0.100126396 -0.087787011 0.06430275 -0.042999418 0.039256275
#> [8,] 0.029674971 0.100853557 -0.07216136 -0.003129286 0.042062489
#> [9,] 0.003622196 0.049705273 0.08055686 0.022807765 -0.046888120
#> [10,] -0.007474981 -0.054546387 0.04792097 -0.080317671 0.010171447
#> V50 V51 V52 V53 V54
#> [1,] -0.097566996 0.032592503 0.092196449 0.080414825 -0.08847844
#> [2,] 0.067433779 -0.059829762 -0.032121351 -0.023078793 -0.05250258
#> [3,] 0.069953549 0.019750522 -0.008123761 0.064231857 -0.01091524
#> [4,] 0.008080184 0.061825145 0.048753762 0.079082007 -0.06720708
#> [5,] 0.066934162 -0.036236526 -0.024971724 0.098534857 0.01382891
#> [6,] -0.064268938 -0.096100542 -0.067322748 -0.071665347 -0.06499531
#> [7,] -0.068597985 -0.045239019 -0.076461249 0.065195400 0.04469153
#> [8,] -0.020992211 0.074139012 -0.077906283 -0.005728798 0.08248870
#> [9,] 0.072826969 0.043209953 -0.055169302 0.081632977 -0.04189120
#> [10,] -0.072252639 -0.007820701 0.059205192 -0.097071978 0.09705566
#> V55 V56 V57 V58 V59
#> [1,] -0.03814267 0.005753763 0.019716234 -0.03266707 -0.044448325
#> [2,] -0.07803881 0.075814018 -0.019444994 -0.04865247 -0.002419954
#> [3,] 0.01416983 0.053386913 -0.028364332 0.05217774 -0.068021677
#> [4,] 0.03561991 -0.004656037 -0.008623224 -0.05294697 -0.043163981
#> [5,] 0.05122747 0.096575518 0.017391810 0.09021178 -0.060400975
#> [6,] -0.04886838 0.095149383 -0.068875586 -0.05895003 0.081528427
#> [7,] 0.01249046 -0.046912882 -0.070308891 -0.05362902 0.016759738
#> [8,] -0.06811033 -0.003241981 0.004293553 0.00312532 0.017940776
#> [9,] -0.04604448 0.099626716 0.095950951 0.03725228 0.024742518
#> [10,] 0.08459087 0.073064170 0.041832526 -0.08609207 0.049015812
#> V6 V60 V7 V8 V9
#> [1,] 0.09468994 -0.040240167 -0.058947180 -0.083590568 -0.053260353
#> [2,] 0.04743263 -0.096701249 0.070568465 0.003761507 -0.005965248
#> [3,] -0.04242585 -0.007061529 0.007670261 0.054934176 -0.093227550
#> [4,] 0.01445340 0.063109772 0.087165505 -0.028992982 0.007572967
#> [5,] -0.02557177 0.023701920 0.024925621 -0.086485986 0.015570462
#> [6,] -0.07654021 0.014743118 0.057970363 -0.009642289 0.030111500
#> [7,] -0.01794253 0.041445523 0.047326002 0.009126357 -0.011291984
#> [8,] 0.05248100 -0.097779355 0.090306460 0.042924262 -0.084121493
#> [9,] 0.08635392 0.065426315 0.070255887 -0.067383495 -0.052862316
#> [10,] -0.04754164 -0.058271907 0.052569898 -0.038827650 0.042642866
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.04032846 0.095252090 -0.07866915 0.06342279 0.10433311 0.01313403
#> [2,] -0.08389576 -0.009146223 0.07654222 -0.07814433 -0.06614828 -0.09502901
#> [,7] [,8] [,9] [,10]
#> [1,] -0.03021361 0.05307306 0.03579406 0.003265126
#> [2,] 0.05555824 -0.01041600 -0.07664692 -0.104835387
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] -2.669112e-05 -0.0001785593 -0.0002243054 -0.0001842842 -0.0001705215
#> [2,] -1.164283e-04 -0.0008172263 -0.0010098093 -0.0008253896 -0.0007664808
#> [3,] 2.319239e-04 0.0016681819 0.0020307340 0.0016453429 0.0015206229
#> [4,] -1.366845e-04 -0.0009789578 -0.0011992193 -0.0009686254 -0.0008911849
#> [5,] -1.902833e-04 -0.0013527811 -0.0016576993 -0.0013499554 -0.0012461924
#> [6,] -1.267449e-04 -0.0008923837 -0.0010972262 -0.0008935962 -0.0008267918
#> [7,] 1.298445e-04 0.0009444343 0.0011453915 0.0009254923 0.0008553703
#> [8,] -8.711472e-05 -0.0005981850 -0.0007421066 -0.0006064496 -0.0005610824
#> [9,] -9.680225e-05 -0.0006972419 -0.0008488410 -0.0006757579 -0.0006239565
#> [10,] -1.019836e-04 -0.0007214651 -0.0008847676 -0.0007135416 -0.0006604392
#> V14 V15 V16 V17 V18
#> [1,] -9.955189e-05 -6.247466e-05 -4.017663e-05 -7.266319e-05 -0.0001124365
#> [2,] -4.774187e-04 -3.146317e-04 -2.286449e-04 -3.756708e-04 -0.0005942547
#> [3,] 9.951455e-04 6.792326e-04 5.304899e-04 8.352145e-04 0.0013760842
#> [4,] -5.660846e-04 -3.750664e-04 -2.842183e-04 -4.699421e-04 -0.0007736202
#> [5,] -7.963762e-04 -5.336231e-04 -4.087252e-04 -6.620477e-04 -0.0010796976
#> [6,] -5.192152e-04 -3.435089e-04 -2.525918e-04 -4.142017e-04 -0.0006670648
#> [7,] 5.702605e-04 3.938028e-04 3.159755e-04 4.913941e-04 0.0008128369
#> [8,] -3.340571e-04 -2.099560e-04 -1.338113e-04 -2.322940e-04 -0.0003701920
#> [9,] -3.981413e-04 -2.642919e-04 -1.991068e-04 -3.254759e-04 -0.0005378449
#> [10,] -4.244488e-04 -2.864047e-04 -2.213584e-04 -3.588363e-04 -0.0005825209
#> V19 V2 V20 V21 V22
#> [1,] -0.0002179900 -0.0000348075 -0.0002955552 -0.0003373779 -0.0003350422
#> [2,] -0.0010953583 -0.0001503010 -0.0014773946 -0.0016433594 -0.0016283246
#> [3,] 0.0024427850 0.0002964357 0.0032821454 0.0035727747 0.0034913455
#> [4,] -0.0013937717 -0.0001755536 -0.0018753095 -0.0020550491 -0.0020127922
#> [5,] -0.0019348223 -0.0002446026 -0.0025984072 -0.0028511140 -0.0027919180
#> [6,] -0.0012179963 -0.0001629989 -0.0016453291 -0.0018193421 -0.0017902671
#> [7,] 0.0014219710 0.0001657913 0.0019070293 0.0020638911 0.0020116122
#> [8,] -0.0007337765 -0.0001120198 -0.0010085650 -0.0011402762 -0.0011312736
#> [9,] -0.0009674362 -0.0001254206 -0.0013156066 -0.0014442507 -0.0014006728
#> [10,] -0.0010352706 -0.0001311485 -0.0013908261 -0.0015229019 -0.0014837424
#> V23 V24 V25 V26 V27
#> [1,] -0.0002326768 -0.0001871081 -0.0001871675 -0.0001288576 -7.191731e-05
#> [2,] -0.0011374147 -0.0009107599 -0.0009161833 -0.0006775974 -3.871454e-04
#> [3,] 0.0024146307 0.0019211240 0.0019496251 0.0014922538 7.985235e-04
#> [4,] -0.0013775881 -0.0010958856 -0.0011183815 -0.0008346065 -4.296589e-04
#> [5,] -0.0019304481 -0.0015393952 -0.0015580385 -0.0011741988 -6.328137e-04
#> [6,] -0.0012445360 -0.0009939431 -0.0010028368 -0.0007462510 -4.143203e-04
#> [7,] 0.0013871868 0.0011040539 0.0011252001 0.0008705923 4.591869e-04
#> [8,] -0.0007929428 -0.0006304166 -0.0006299565 -0.0004559182 -2.685217e-04
#> [9,] -0.0009384845 -0.0007378586 -0.0007608911 -0.0005631961 -2.751581e-04
#> [10,] -0.0010136261 -0.0008073409 -0.0008240588 -0.0006092062 -3.055517e-04
#> V28 V29 V3 V30 V31
#> [1,] -4.929167e-05 -3.230813e-05 -4.162213e-05 -5.539468e-05 3.250548e-05
#> [2,] -2.476111e-04 -2.037708e-04 -1.826350e-04 -3.030177e-04 1.283795e-04
#> [3,] 4.473560e-04 4.587638e-04 3.651277e-04 6.661236e-04 -2.946575e-04
#> [4,] -2.224875e-04 -2.137411e-04 -2.164840e-04 -3.441505e-04 2.012527e-04
#> [5,] -3.675104e-04 -3.576961e-04 -3.001654e-04 -5.274338e-04 2.326103e-04
#> [6,] -2.571100e-04 -2.257330e-04 -1.985074e-04 -3.344697e-04 1.507184e-04
#> [7,] 2.448062e-04 2.668936e-04 2.055458e-04 3.858081e-04 -1.684465e-04
#> [8,] -1.897440e-04 -1.349273e-04 -1.342273e-04 -2.056531e-04 1.016952e-04
#> [9,] -1.330579e-04 -1.246525e-04 -1.539775e-04 -2.253855e-04 1.667168e-04
#> [10,] -1.556216e-04 -1.530460e-04 -1.609980e-04 -2.546370e-04 1.490427e-04
#> V32 V33 V34 V35 V36
#> [1,] -5.398905e-05 -1.823218e-05 5.994213e-05 0.0001143010 0.0001934934
#> [2,] -2.577855e-04 -1.700103e-04 1.449863e-04 0.0004422226 0.0007989408
#> [3,] 5.038281e-04 5.033173e-04 -4.892604e-05 -0.0007446465 -0.0014665816
#> [4,] -2.784813e-04 -2.456094e-04 1.050003e-04 0.0005065436 0.0009326408
#> [5,] -4.162028e-04 -3.761779e-04 9.464030e-05 0.0006399916 0.0012267576
#> [6,] -2.740910e-04 -2.066106e-04 1.238361e-04 0.0004589810 0.0008425921
#> [7,] 2.850819e-04 3.125954e-04 1.343272e-05 -0.0003985511 -0.0008060859
#> [8,] -1.811709e-04 -8.523582e-05 1.596551e-04 0.0003543301 0.0006158860
#> [9,] -1.783250e-04 -1.547021e-04 9.094579e-05 0.0003654656 0.0006629046
#> [10,] -2.073134e-04 -1.875658e-04 6.682174e-05 0.0003577914 0.0006741737
#> V37 V38 V39 V4 V40
#> [1,] 0.0001479679 3.438223e-05 -6.243673e-06 -5.651608e-05 6.006018e-05
#> [2,] 0.0005838400 8.240315e-05 -6.474591e-05 -2.531528e-04 2.258543e-04
#> [3,] -0.0010097563 -2.070701e-05 1.975680e-04 5.159311e-04 -3.735590e-04
#> [4,] 0.0006607397 7.011665e-05 -7.175744e-05 -3.046681e-04 2.655017e-04
#> [5,] 0.0008627544 5.166583e-05 -1.483207e-04 -4.211814e-04 3.175926e-04
#> [6,] 0.0006043161 6.486606e-05 -8.365051e-05 -2.764190e-04 2.291416e-04
#> [7,] -0.0005455320 8.745369e-06 1.186535e-04 2.918669e-04 -2.001523e-04
#> [8,] 0.0004598119 8.529536e-05 -4.039539e-05 -1.850802e-04 1.782814e-04
#> [9,] 0.0004661751 4.777124e-05 -4.434017e-05 -2.168115e-04 2.009596e-04
#> [10,] 0.0004795501 4.421442e-05 -5.943483e-05 -2.262799e-04 1.947051e-04
#> V41 V42 V43 V44 V45
#> [1,] -7.433496e-06 -9.236254e-05 -0.0001141337 -0.0001654727 -0.0002211592
#> [2,] -4.490498e-05 -4.377960e-04 -0.0005301684 -0.0007693294 -0.0010139261
#> [3,] 1.227048e-04 9.441095e-04 0.0010989173 0.0015906798 0.0020774401
#> [4,] -4.769285e-05 -5.289256e-04 -0.0006265215 -0.0009258271 -0.0012193149
#> [5,] -1.030887e-04 -7.641894e-04 -0.0008917256 -0.0012872548 -0.0016867874
#> [6,] -5.943700e-05 -4.892003e-04 -0.0005818902 -0.0008406638 -0.0011057843
#> [7,] 7.179857e-05 5.405751e-04 0.0006230097 0.0009039096 0.0011776939
#> [8,] -3.147032e-05 -3.149531e-04 -0.0003891726 -0.0005583200 -0.0007405437
#> [9,] -1.701598e-05 -3.589761e-04 -0.0004361001 -0.0006541070 -0.0008654126
#> [10,] -3.617804e-05 -3.935993e-04 -0.0004647619 -0.0006808479 -0.0008984333
#> V46 V47 V48 V49 V5
#> [1,] -0.0001536122 -8.607647e-05 -7.618765e-05 -4.581647e-05 -4.371743e-05
#> [2,] -0.0007089002 -3.980533e-04 -3.490377e-04 -2.045785e-04 -1.874365e-04
#> [3,] 0.0014620472 8.170109e-04 7.181754e-04 4.130135e-04 3.609837e-04
#> [4,] -0.0008553745 -4.766261e-04 -4.204582e-04 -2.436159e-04 -2.154772e-04
#> [5,] -0.0011836455 -6.631325e-04 -5.842526e-04 -3.387687e-04 -3.005224e-04
#> [6,] -0.0007747593 -4.340978e-04 -3.819516e-04 -2.233110e-04 -2.015710e-04
#> [7,] 0.0008298295 4.633859e-04 4.075361e-04 2.327963e-04 2.009714e-04
#> [8,] -0.0005161636 -2.892997e-04 -2.544707e-04 -1.513664e-04 -1.406166e-04
#> [9,] -0.0006059042 -3.357816e-04 -2.977526e-04 -1.716462e-04 -1.524025e-04
#> [10,] -0.0006297802 -3.503870e-04 -3.106105e-04 -1.801964e-04 -1.589780e-04
#> V50 V51 V52 V53 V54
#> [1,] -6.589313e-06 -1.215620e-05 -9.205359e-06 -2.924878e-06 -6.349086e-06
#> [2,] -2.976984e-05 -5.850988e-05 -4.321296e-05 -1.505636e-05 -3.173964e-05
#> [3,] 6.030954e-05 1.255094e-04 9.066985e-05 3.505800e-05 7.111690e-05
#> [4,] -3.458879e-05 -7.215146e-05 -5.261482e-05 -1.915163e-05 -3.989467e-05
#> [5,] -4.932889e-05 -1.004837e-04 -7.292933e-05 -2.745429e-05 -5.619783e-05
#> [6,] -3.247075e-05 -6.463043e-05 -4.730415e-05 -1.710093e-05 -3.548645e-05
#> [7,] 3.387695e-05 7.211368e-05 5.182729e-05 2.041994e-05 4.125454e-05
#> [8,] -2.199452e-05 -4.136892e-05 -3.073733e-05 -1.027169e-05 -2.182178e-05
#> [9,] -2.422957e-05 -5.081032e-05 -3.721102e-05 -1.326401e-05 -2.814821e-05
#> [10,] -2.586034e-05 -5.340016e-05 -3.907423e-05 -1.434320e-05 -2.988404e-05
#> V55 V56 V57 V58 V59
#> [1,] -1.973235e-06 -3.963314e-06 -2.433952e-06 -4.539167e-06 -3.467253e-06
#> [2,] -8.167366e-06 -1.935934e-05 -1.206198e-05 -2.035288e-05 -1.404823e-05
#> [3,] 1.485581e-05 4.326009e-05 2.704969e-05 4.150465e-05 2.589549e-05
#> [4,] -8.326353e-06 -2.449244e-05 -1.538752e-05 -2.387999e-05 -1.523948e-05
#> [5,] -1.246967e-05 -3.435503e-05 -2.158687e-05 -3.388773e-05 -2.204834e-05
#> [6,] -8.692375e-06 -2.178775e-05 -1.356593e-05 -2.228064e-05 -1.503521e-05
#> [7,] 8.026581e-06 2.507171e-05 1.576324e-05 2.337132e-05 1.410756e-05
#> [8,] -6.469327e-06 -1.348379e-05 -8.176171e-06 -1.505762e-05 -1.093863e-05
#> [9,] -5.676897e-06 -1.744971e-05 -1.067547e-05 -1.675329e-05 -1.071769e-05
#> [10,] -6.593619e-06 -1.833817e-05 -1.147248e-05 -1.797421e-05 -1.169958e-05
#> V6 V60 V7 V8 V9
#> [1,] -6.246536e-06 -7.158288e-07 6.043383e-06 -4.719908e-05 -0.0001616324
#> [2,] -1.638849e-05 -2.546877e-06 3.218138e-05 -2.431061e-04 -0.0007676498
#> [3,] -5.537518e-06 4.147072e-06 -9.550982e-05 5.401928e-04 0.0016246523
#> [4,] 1.524371e-06 -2.227998e-06 6.058257e-05 -3.005854e-04 -0.0009443796
#> [5,] -4.981748e-06 -3.792267e-06 7.294192e-05 -4.253668e-04 -0.0013020551
#> [6,] -1.114385e-05 -2.723135e-06 4.042289e-05 -2.721576e-04 -0.0008461650
#> [7,] -8.261408e-06 2.115394e-06 -5.873343e-05 3.134916e-04 0.0009307772
#> [8,] -1.551659e-05 -2.086838e-06 1.954413e-05 -1.683754e-04 -0.0005483048
#> [9,] 1.999070e-06 -1.555275e-06 4.318223e-05 -2.159900e-04 -0.0006754734
#> [10,] 1.645411e-06 -1.885137e-06 4.464849e-05 -2.218840e-04 -0.0006969194
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.01417676 -0.01269762 -0.01130099 -0.01863491 -0.01491238 -0.01067913
#> [2,] 0.01417676 0.01269762 0.01130099 0.01863491 0.01491238 0.01067913
#> [,7] [,8] [,9] [,10]
#> [1,] -0.009318458 -0.006514417 -0.01797577 -0.01547829
#> [2,] 0.009318458 0.006514417 0.01797577 0.01547829
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.09979100 0.10003700 0.09935012 0.09985091 0.10015892 0.10000170
#> [7] 0.09947053 0.09979985 0.09968671 0.09983540
#>
#> $B[[2]]
#> [1] 0.10891224 0.09108776
#>
#>
#> $vB
#> $vB[[1]]
#> [1] -6.479668e-05 -4.183838e-04 1.043643e-03 -5.190333e-04 -7.962162e-04
#> [6] -4.795868e-04 6.243667e-04 -2.537993e-04 -3.322409e-04 -3.952521e-04
#>
#> $vB[[2]]
#> [1] -0.02272553 0.02272553
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0135 0.1908 0.1576 0.1112 0.1197 0.1174 0.1415 0.2215 0.2658 0.2713
#> [2,] 0.0067 0.1180 0.0978 0.0909 0.0656 0.0593 0.0832 0.1297 0.2038 0.3811
#> [3,] 0.0294 0.3473 0.4231 0.5044 0.5237 0.4398 0.3236 0.2956 0.3286 0.3231
#> [4,] 0.0530 0.0740 0.1610 0.2226 0.2703 0.3365 0.4266 0.4144 0.5655 0.6921
#> [5,] 0.0228 0.3517 0.3330 0.3643 0.4020 0.4731 0.5196 0.6573 0.8426 0.8476
#> [6,] 0.0126 0.5920 0.5832 0.5419 0.5472 0.5314 0.4981 0.6985 0.8292 0.7839
#> [7,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [8,] 0.0180 0.2918 0.3273 0.3035 0.3033 0.2587 0.1682 0.1308 0.2803 0.4519
#> [9,] 0.0221 0.1810 0.2549 0.2984 0.2624 0.1893 0.0668 0.2666 0.4274 0.6291
#> [10,] 0.0331 0.0193 0.0897 0.1734 0.1936 0.2803 0.3313 0.5020 0.6360 0.7096
#> [11,] 0.0374 0.2597 0.3483 0.3999 0.4574 0.5950 0.7924 0.8272 0.8087 0.8977
#> [12,] 0.0240 0.0389 0.1934 0.2434 0.2906 0.2606 0.3811 0.4997 0.3015 0.3655
#> [13,] 0.0599 0.0351 0.1582 0.2023 0.2268 0.2829 0.3819 0.4665 0.6687 0.8647
#> [14,] 0.0762 0.4459 0.4152 0.3952 0.4256 0.4135 0.4528 0.5326 0.7306 0.6193
#> [15,] 0.0459 0.1408 0.2693 0.3259 0.4545 0.5785 0.4471 0.2231 0.2164 0.3201
#> [16,] 0.0346 0.1508 0.1809 0.2390 0.2947 0.2866 0.4010 0.5325 0.5486 0.5823
#> [17,] 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> [18,] 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> [19,] 0.0129 0.2245 0.2431 0.3134 0.3206 0.2917 0.2249 0.2347 0.2143 0.2939
#> [20,] 0.0388 0.2718 0.3645 0.3934 0.3843 0.4677 0.5364 0.4823 0.4835 0.5862
#> [21,] 0.0430 0.7106 0.7342 0.5033 0.3000 0.1951 0.2767 0.3737 0.2507 0.2507
#> [22,] 0.0299 0.0998 0.0523 0.0904 0.2655 0.3099 0.3520 0.3892 0.3962 0.2449
#> [23,] 0.0394 0.2558 0.3078 0.3404 0.3400 0.3951 0.3352 0.2252 0.2086 0.2248
#> [24,] 0.0968 0.5025 0.3488 0.1700 0.2076 0.3087 0.4224 0.5312 0.2436 0.1884
#> [25,] 0.0099 0.1882 0.1456 0.1892 0.3176 0.1340 0.2169 0.2458 0.2589 0.2786
#> [26,] 0.0340 0.4117 0.5245 0.5341 0.5554 0.3915 0.2950 0.3075 0.3021 0.2719
#> [27,] 0.0229 0.1631 0.2709 0.3358 0.4091 0.4400 0.5485 0.7213 0.8137 0.9185
#> [28,] 0.0126 0.4284 0.3015 0.1207 0.3299 0.5707 0.6962 0.9751 1.0000 0.9293
#> [29,] 0.0117 0.2169 0.1180 0.0754 0.2782 0.3758 0.5093 0.6592 0.7071 0.7532
#> [30,] 0.0519 0.2838 0.2802 0.3086 0.2657 0.3801 0.5626 0.4376 0.2617 0.1199
#> [31,] 0.0087 0.0818 0.1315 0.1862 0.2789 0.2579 0.2240 0.2568 0.2933 0.2991
#> [32,] 0.0162 0.1334 0.2969 0.4754 0.5677 0.5690 0.6421 0.7487 0.8999 1.0000
#> [33,] 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> [34,] 0.0137 0.0874 0.1100 0.1084 0.1094 0.1023 0.0601 0.0906 0.1313 0.2758
#> [35,] 0.0587 0.2352 0.3208 0.4257 0.5201 0.4914 0.5950 0.7221 0.9039 0.9111
#> [36,] 0.0047 0.3469 0.3265 0.3263 0.2301 0.1253 0.2102 0.2401 0.1928 0.1673
#> [37,] 0.0368 0.0506 0.0906 0.2545 0.1464 0.1272 0.1223 0.1669 0.1424 0.1285
#> [38,] 0.0253 0.2197 0.2653 0.3223 0.5582 0.6916 0.7943 0.7152 0.3512 0.2008
#> [39,] 0.0094 0.5079 0.3350 0.0834 0.3004 0.3957 0.3769 0.3828 0.1247 0.1363
#> [40,] 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.3862 0.0045 0.5717 0.6797 0.8747 1.0000 0.8948 0.8420 0.9174 0.9307
#> [2,] 0.4451 0.0096 0.5224 0.5911 0.6566 0.6308 0.5998 0.4958 0.5647 0.6906
#> [3,] 0.4528 0.0123 0.6339 0.7044 0.8314 0.8449 0.8512 0.9138 0.9985 1.0000
#> [4,] 0.8547 0.0885 0.9234 0.9171 1.0000 0.9532 0.9101 0.8337 0.7053 0.6534
#> [5,] 0.8344 0.0853 0.8453 0.7999 0.8537 0.9642 1.0000 0.9357 0.9409 0.9070
#> [6,] 0.8215 0.0149 0.9363 1.0000 0.9224 0.7839 0.5470 0.4562 0.5922 0.5448
#> [7,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [8,] 0.6641 0.0444 0.7683 0.6960 0.4393 0.2432 0.2886 0.4974 0.8172 1.0000
#> [9,] 0.7782 0.0065 0.7686 0.8099 0.8493 0.9440 0.9450 0.9655 0.8045 0.4969
#> [10,] 0.8333 0.0423 0.8730 0.8073 0.7507 0.7526 0.7298 0.6177 0.4946 0.4531
#> [11,] 0.9828 0.0586 0.8982 0.8890 0.9367 0.9122 0.7936 0.6718 0.6318 0.4865
#> [12,] 0.6791 0.0218 0.7307 0.5053 0.4441 0.6987 0.8133 0.7781 0.8943 0.8929
#> [13,] 0.9361 0.0474 0.9367 0.9144 0.9162 0.9311 0.8604 0.7327 0.5763 0.4162
#> [14,] 0.2032 0.0666 0.4636 0.4148 0.4292 0.5730 0.5399 0.3161 0.2285 0.6995
#> [15,] 0.2915 0.0437 0.4235 0.4460 0.2380 0.6415 0.8966 0.8918 0.7529 0.6838
#> [16,] 0.6041 0.0509 0.6749 0.7084 0.7890 0.9284 0.9781 0.9738 1.0000 0.9702
#> [17,] 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> [18,] 0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> [19,] 0.4898 0.0141 0.6127 0.7531 0.7718 0.7432 0.8673 0.9308 0.9836 1.0000
#> [20,] 0.7579 0.0324 0.6997 0.6918 0.8633 0.9107 0.9346 0.7884 0.8585 0.9261
#> [21,] 0.3292 0.0902 0.4871 0.6527 0.8454 0.9739 1.0000 0.6665 0.5323 0.4024
#> [22,] 0.2355 0.0688 0.3045 0.3112 0.4698 0.5534 0.4532 0.4464 0.4670 0.4621
#> [23,] 0.3382 0.0420 0.4578 0.6474 0.6708 0.7007 0.7619 0.7745 0.6767 0.7373
#> [24,] 0.1908 0.0821 0.8321 1.0000 0.4076 0.0960 0.1928 0.2419 0.3790 0.2893
#> [25,] 0.2298 0.0484 0.0656 0.1441 0.1179 0.1668 0.1783 0.2476 0.2570 0.1036
#> [26,] 0.5443 0.0625 0.7932 0.8751 0.8667 0.7107 0.6911 0.7287 0.8792 1.0000
#> [27,] 1.0000 0.0369 0.9418 0.9116 0.9349 0.7484 0.5146 0.4106 0.3443 0.6981
#> [28,] 0.6210 0.0519 0.4586 0.5001 0.5032 0.7082 0.8420 0.8109 0.7690 0.8105
#> [29,] 0.8357 0.0069 0.8593 0.9615 0.9838 0.8705 0.6403 0.5067 0.5395 0.6934
#> [30,] 0.6676 0.0548 0.9402 0.7832 0.5352 0.6809 0.9174 0.7613 0.8220 0.8872
#> [31,] 0.3924 0.0046 0.4691 0.5665 0.6464 0.6774 0.7577 0.8856 0.9419 1.0000
#> [32,] 0.9690 0.0253 0.9032 0.7685 0.6998 0.6644 0.5964 0.3711 0.0921 0.0481
#> [33,] 0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> [34,] 0.3660 0.0297 0.5269 0.5810 0.6181 0.5875 0.4639 0.5424 0.7367 0.9089
#> [35,] 0.8723 0.1210 0.7686 0.7326 0.5222 0.3097 0.3172 0.2270 0.1640 0.1746
#> [36,] 0.1228 0.0059 0.0902 0.1557 0.3291 0.5268 0.6740 0.7906 0.8938 0.9395
#> [37,] 0.1857 0.0403 0.1136 0.2069 0.0219 0.2400 0.2547 0.0240 0.1923 0.4753
#> [38,] 0.2676 0.0808 0.4299 0.5280 0.3489 0.1430 0.5453 0.6338 0.7712 0.6838
#> [39,] 0.2678 0.0611 0.9188 0.9779 0.3236 0.1944 0.1874 0.0885 0.3443 0.2953
#> [40,] 0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.9050 0.8228 0.0051 0.6986 0.5831 0.4924 0.4563 0.5159 0.5670 0.5284
#> [2,] 0.8513 1.0000 0.0024 0.9166 0.7676 0.6177 0.5468 0.5516 0.5463 0.5515
#> [3,] 0.7544 0.4661 0.0117 0.3924 0.3849 0.4674 0.4245 0.3095 0.0752 0.2885
#> [4,] 0.4483 0.2460 0.1997 0.2020 0.1446 0.0994 0.1510 0.2392 0.4434 0.5023
#> [5,] 0.7104 0.6320 0.1000 0.5667 0.3501 0.2447 0.1698 0.3290 0.3674 0.2331
#> [6,] 0.3971 0.0882 0.0641 0.2385 0.2005 0.0587 0.2544 0.2009 0.0329 0.1547
#> [7,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [8,] 0.9238 0.8519 0.0476 0.7722 0.5772 0.5190 0.6824 0.6220 0.5054 0.3578
#> [9,] 0.3960 0.3856 0.0164 0.5574 0.7309 0.8549 0.9425 0.8726 0.6673 0.4694
#> [10,] 0.4099 0.4540 0.0474 0.4124 0.3139 0.3194 0.3692 0.3776 0.4469 0.4777
#> [11,] 0.3388 0.4832 0.0628 0.3822 0.3075 0.1267 0.0743 0.1510 0.1906 0.1817
#> [12,] 0.8913 0.8610 0.0324 0.8063 0.5540 0.2446 0.3459 0.1615 0.2467 0.5564
#> [13,] 0.4113 0.4146 0.0498 0.3149 0.2936 0.3169 0.3149 0.4132 0.3994 0.4195
#> [14,] 1.0000 0.7262 0.0481 0.4724 0.5103 0.5459 0.2881 0.0981 0.1951 0.4181
#> [15,] 0.8390 1.0000 0.0347 0.8362 0.5427 0.4577 0.8067 0.6973 0.3915 0.1558
#> [16,] 0.9956 0.8235 0.0079 0.6020 0.5342 0.4867 0.3526 0.1566 0.0946 0.1613
#> [17,] 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> [18,] 0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> [19,] 0.9595 0.8722 0.0309 0.6862 0.4901 0.3280 0.3115 0.1969 0.1019 0.0317
#> [20,] 0.7080 0.5779 0.0688 0.5215 0.4505 0.3129 0.1448 0.1046 0.1820 0.1519
#> [21,] 0.3444 0.4239 0.0833 0.4182 0.4393 0.1162 0.4336 0.6553 0.6172 0.4373
#> [22,] 0.6988 0.7626 0.0992 0.7025 0.7382 0.7446 0.7927 0.5227 0.3967 0.3042
#> [23,] 0.7834 0.9619 0.0446 1.0000 0.8086 0.5558 0.5409 0.4988 0.3108 0.2897
#> [24,] 0.3451 0.3777 0.0629 0.5213 0.2316 0.3335 0.4781 0.6116 0.6705 0.7375
#> [25,] 0.5356 0.7124 0.0299 0.6291 0.4756 0.6015 0.7208 0.6234 0.5725 0.7523
#> [26,] 0.9816 0.8984 0.0381 0.6048 0.4934 0.5371 0.4586 0.2908 0.0774 0.2249
#> [27,] 0.8713 0.9013 0.0040 0.8014 0.4380 0.1319 0.1709 0.2484 0.3044 0.2312
#> [28,] 0.6203 0.2356 0.0621 0.2595 0.6299 0.6762 0.2903 0.4393 0.8529 0.7180
#> [29,] 0.8487 0.8213 0.0279 0.5962 0.2950 0.2758 0.2885 0.1893 0.1446 0.0955
#> [30,] 0.6091 0.2967 0.0842 0.1103 0.1318 0.0624 0.0990 0.4006 0.3666 0.1050
#> [31,] 0.8564 0.6790 0.0081 0.5587 0.4147 0.2946 0.2025 0.0688 0.1171 0.2157
#> [32,] 0.0876 0.1040 0.0262 0.1714 0.3264 0.4612 0.3939 0.5050 0.4833 0.3511
#> [33,] 0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> [34,] 1.0000 0.8247 0.0116 0.5441 0.3349 0.0877 0.1600 0.4169 0.6576 0.7390
#> [35,] 0.1835 0.2048 0.1268 0.1674 0.2767 0.3104 0.3399 0.4441 0.5046 0.2814
#> [36,] 0.9493 0.9040 0.0080 0.9151 0.8828 0.8086 0.7180 0.6720 0.6447 0.6879
#> [37,] 0.7003 0.6825 0.0317 0.6443 0.7063 0.5373 0.6601 0.8708 0.9518 0.9605
#> [38,] 0.8015 0.8073 0.0507 0.8310 0.7792 0.5049 0.1413 0.2767 0.5084 0.4787
#> [39,] 0.5908 0.4564 0.1136 0.7334 0.1969 0.2790 0.6212 0.8681 0.8621 0.9380
#> [40,] 0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.5144 0.3742 0.2282 0.0289 0.1193 0.1088 0.0431 0.1070 0.0583 0.0046
#> [2,] 0.4561 0.3466 0.3384 0.0058 0.2853 0.2502 0.1641 0.1605 0.1491 0.1326
#> [3,] 0.4072 0.3170 0.2863 0.0113 0.2634 0.0541 0.1874 0.3459 0.4646 0.4366
#> [4,] 0.4441 0.4571 0.3927 0.2604 0.2900 0.3408 0.4990 0.3632 0.1387 0.1800
#> [5,] 0.2413 0.2556 0.1892 0.0428 0.1940 0.3074 0.2785 0.0308 0.1238 0.1854
#> [6,] 0.1212 0.2446 0.3171 0.1732 0.3195 0.3051 0.0836 0.1266 0.1381 0.1136
#> [7,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [8,] 0.3809 0.3813 0.3359 0.0698 0.2771 0.3648 0.3834 0.3453 0.2096 0.1031
#> [9,] 0.1546 0.1748 0.3607 0.0487 0.5208 0.5177 0.3702 0.2240 0.0816 0.0395
#> [10,] 0.4716 0.4664 0.3893 0.0818 0.4255 0.4064 0.3712 0.3863 0.2802 0.1283
#> [11,] 0.1709 0.0946 0.2829 0.0534 0.3006 0.1602 0.1483 0.2875 0.2047 0.1064
#> [12,] 0.4681 0.0979 0.1582 0.0569 0.0751 0.3321 0.3745 0.2666 0.1078 0.1418
#> [13,] 0.4532 0.4419 0.4737 0.0387 0.3431 0.3194 0.3370 0.2493 0.2650 0.1748
#> [14,] 0.4604 0.3217 0.2828 0.0394 0.2430 0.1979 0.2444 0.1847 0.0841 0.0692
#> [15,] 0.1598 0.2161 0.5178 0.0456 0.4782 0.2344 0.3599 0.2785 0.1807 0.0352
#> [16,] 0.2824 0.3390 0.3019 0.0243 0.2945 0.2978 0.2676 0.2055 0.2069 0.1625
#> [17,] 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> [18,] 0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> [19,] 0.0756 0.0907 0.1066 0.0375 0.1380 0.0665 0.1475 0.2470 0.2788 0.2709
#> [20,] 0.1017 0.1438 0.1986 0.0898 0.2039 0.2778 0.2879 0.1331 0.1140 0.1310
#> [21,] 0.4118 0.3641 0.4572 0.0813 0.4367 0.2964 0.4312 0.4155 0.1824 0.1487
#> [22,] 0.1309 0.2408 0.1780 0.1021 0.1598 0.5657 0.6443 0.4241 0.4567 0.5760
#> [23,] 0.2244 0.0960 0.2287 0.0551 0.3228 0.3454 0.3882 0.3240 0.0926 0.1173
#> [24,] 0.7356 0.7792 0.6788 0.0608 0.5259 0.2762 0.1545 0.2019 0.2231 0.4221
#> [25,] 0.8712 0.9252 0.9709 0.0297 0.9297 0.8995 0.7911 0.5600 0.2838 0.4407
#> [26,] 0.1602 0.3958 0.6117 0.0257 0.5196 0.2321 0.4370 0.3797 0.4322 0.4892
#> [27,] 0.1338 0.2056 0.2474 0.0375 0.2790 0.1610 0.0056 0.0351 0.1148 0.1331
#> [28,] 0.4801 0.5856 0.4993 0.0518 0.2866 0.0601 0.1167 0.2737 0.2812 0.2078
#> [29,] 0.0888 0.0836 0.0894 0.0583 0.1547 0.2318 0.2225 0.1035 0.1721 0.2017
#> [30,] 0.1915 0.3930 0.4288 0.0319 0.2546 0.1151 0.2196 0.1879 0.1437 0.2146
#> [31,] 0.2216 0.2776 0.2309 0.0230 0.1444 0.1513 0.1745 0.1756 0.1424 0.0908
#> [32,] 0.2319 0.4029 0.3676 0.0386 0.1510 0.0745 0.1395 0.1552 0.0377 0.0636
#> [33,] 0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> [34,] 0.7963 0.7493 0.6795 0.0082 0.4713 0.2355 0.1704 0.2728 0.4016 0.4125
#> [35,] 0.1681 0.2633 0.3198 0.1498 0.1933 0.0934 0.0443 0.0780 0.0722 0.0405
#> [36,] 0.6241 0.4936 0.4144 0.0554 0.4240 0.4546 0.4392 0.4323 0.4921 0.4710
#> [37,] 0.7712 0.6772 0.6431 0.0293 0.6720 0.6035 0.5155 0.3802 0.2278 0.1522
#> [38,] 0.1356 0.2299 0.2789 0.0244 0.3833 0.2933 0.1155 0.1705 0.1294 0.0909
#> [39,] 0.8327 0.9480 0.6721 0.1203 0.4436 0.5163 0.3809 0.1557 0.1449 0.2662
#> [40,] 0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.0473 0.0408 0.0290 0.0192 0.0561 0.0094 0.0025 0.0037 0.0084 0.0102
#> [2,] 0.0687 0.0602 0.0561 0.0306 0.0197 0.0154 0.0029 0.0048 0.0023 0.0020
#> [3,] 0.2581 0.1319 0.0505 0.0112 0.0497 0.0059 0.0041 0.0056 0.0104 0.0079
#> [4,] 0.1299 0.0523 0.0817 0.0469 0.3225 0.0114 0.0299 0.0244 0.0199 0.0257
#> [5,] 0.1753 0.1079 0.0728 0.0242 0.1117 0.0191 0.0159 0.0172 0.0191 0.0260
#> [6,] 0.0516 0.0073 0.0278 0.0372 0.2565 0.0121 0.0153 0.0092 0.0035 0.0098
#> [7,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [8,] 0.0798 0.0701 0.0526 0.0241 0.1615 0.0117 0.0122 0.0122 0.0114 0.0098
#> [9,] 0.0785 0.1052 0.1034 0.0764 0.0519 0.0216 0.0167 0.0089 0.0051 0.0015
#> [10,] 0.1117 0.1303 0.0787 0.0436 0.0835 0.0224 0.0133 0.0078 0.0174 0.0176
#> [11,] 0.1395 0.1065 0.0527 0.0395 0.0255 0.0183 0.0353 0.0118 0.0063 0.0237
#> [12,] 0.1687 0.0738 0.0634 0.0144 0.0330 0.0226 0.0061 0.0162 0.0146 0.0093
#> [13,] 0.0932 0.0530 0.0081 0.0342 0.1026 0.0137 0.0028 0.0013 0.0005 0.0227
#> [14,] 0.0528 0.0357 0.0085 0.0230 0.0590 0.0046 0.0156 0.0031 0.0054 0.0105
#> [15,] 0.0473 0.0322 0.0408 0.0163 0.0067 0.0088 0.0121 0.0067 0.0032 0.0109
#> [16,] 0.1216 0.1013 0.0744 0.0386 0.0432 0.0050 0.0146 0.0040 0.0122 0.0107
#> [17,] 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> [18,] 0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> [19,] 0.2283 0.1818 0.1185 0.0546 0.0767 0.0219 0.0204 0.0124 0.0093 0.0072
#> [20,] 0.1433 0.0624 0.0100 0.0098 0.1267 0.0131 0.0152 0.0255 0.0071 0.0263
#> [21,] 0.0138 0.1164 0.2052 0.1069 0.0165 0.0199 0.0208 0.0176 0.0197 0.0210
#> [22,] 0.5293 0.3287 0.1283 0.0698 0.0800 0.0334 0.0342 0.0459 0.0277 0.0172
#> [23,] 0.0566 0.0766 0.0969 0.0588 0.0597 0.0050 0.0118 0.0146 0.0040 0.0114
#> [24,] 0.3067 0.1329 0.1349 0.1057 0.0617 0.0499 0.0206 0.0073 0.0081 0.0303
#> [25,] 0.5507 0.4331 0.2905 0.1981 0.0652 0.0779 0.0396 0.0173 0.0149 0.0115
#> [26,] 0.1901 0.0940 0.1364 0.0906 0.0441 0.0144 0.0329 0.0141 0.0019 0.0067
#> [27,] 0.0276 0.0763 0.0631 0.0309 0.0455 0.0240 0.0115 0.0064 0.0022 0.0122
#> [28,] 0.0660 0.0491 0.0345 0.0172 0.1072 0.0287 0.0027 0.0208 0.0048 0.0199
#> [29,] 0.1787 0.1112 0.0398 0.0305 0.0915 0.0084 0.0039 0.0053 0.0029 0.0020
#> [30,] 0.2360 0.1125 0.0254 0.0285 0.1158 0.0178 0.0052 0.0081 0.0120 0.0045
#> [31,] 0.0138 0.0469 0.0480 0.0159 0.0586 0.0045 0.0015 0.0052 0.0038 0.0079
#> [32,] 0.0443 0.0264 0.0223 0.0187 0.0645 0.0077 0.0137 0.0071 0.0082 0.0232
#> [33,] 0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> [34,] 0.3470 0.2739 0.1790 0.0922 0.0241 0.0276 0.0169 0.0081 0.0040 0.0025
#> [35,] 0.0553 0.1081 0.1139 0.0767 0.1436 0.0265 0.0215 0.0331 0.0111 0.0088
#> [36,] 0.3196 0.2241 0.1806 0.0990 0.0883 0.0251 0.0129 0.0095 0.0126 0.0069
#> [37,] 0.0801 0.0804 0.0752 0.0566 0.0820 0.0175 0.0058 0.0091 0.0160 0.0160
#> [38,] 0.0800 0.0567 0.0198 0.0114 0.1724 0.0151 0.0085 0.0178 0.0073 0.0079
#> [39,] 0.1806 0.1699 0.2559 0.1129 0.0403 0.0201 0.0480 0.0234 0.0175 0.0352
#> [40,] 0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0096 0.0024 0.0037 0.0028 0.0030 0.0929 0.0030 0.1031 0.0883 0.1596
#> [2,] 0.0040 0.0019 0.0034 0.0034 0.0051 0.0618 0.0031 0.0432 0.0951 0.0836
#> [3,] 0.0014 0.0054 0.0015 0.0006 0.0081 0.0998 0.0043 0.1326 0.1117 0.2984
#> [4,] 0.0082 0.0151 0.0171 0.0146 0.0134 0.2247 0.0056 0.0617 0.2287 0.0950
#> [5,] 0.0140 0.0125 0.0116 0.0093 0.0012 0.1651 0.0036 0.1597 0.2116 0.3295
#> [6,] 0.0121 0.0006 0.0181 0.0094 0.0116 0.2559 0.0063 0.2947 0.4110 0.4983
#> [7,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [8,] 0.0027 0.0025 0.0026 0.0050 0.0073 0.0887 0.0022 0.0596 0.1071 0.3175
#> [9,] 0.0075 0.0058 0.0016 0.0070 0.0074 0.0849 0.0038 0.0812 0.1833 0.2228
#> [10,] 0.0038 0.0129 0.0066 0.0044 0.0134 0.0756 0.0092 0.0374 0.0961 0.0548
#> [11,] 0.0032 0.0087 0.0124 0.0113 0.0098 0.1422 0.0126 0.2072 0.2734 0.3070
#> [12,] 0.0112 0.0094 0.0054 0.0019 0.0066 0.0513 0.0023 0.0897 0.0713 0.0569
#> [13,] 0.0209 0.0081 0.0117 0.0114 0.0112 0.0773 0.0100 0.0853 0.0447 0.1094
#> [14,] 0.0110 0.0015 0.0072 0.0048 0.0107 0.0649 0.0094 0.1209 0.2467 0.3564
#> [15,] 0.0164 0.0151 0.0070 0.0085 0.0117 0.0890 0.0056 0.1798 0.1741 0.1598
#> [16,] 0.0112 0.0102 0.0052 0.0024 0.0079 0.0735 0.0031 0.0938 0.1134 0.1228
#> [17,] 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> [18,] 0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> [19,] 0.0019 0.0027 0.0054 0.0017 0.0024 0.0787 0.0029 0.0662 0.1108 0.1777
#> [20,] 0.0079 0.0111 0.0107 0.0068 0.0097 0.1515 0.0067 0.2134 0.2613 0.2832
#> [21,] 0.0141 0.0049 0.0027 0.0162 0.0059 0.0277 0.0021 0.0569 0.2057 0.3887
#> [22,] 0.0087 0.0046 0.0203 0.0130 0.0115 0.0629 0.0015 0.0130 0.0813 0.1761
#> [23,] 0.0032 0.0062 0.0101 0.0068 0.0053 0.1416 0.0087 0.0956 0.0802 0.1618
#> [24,] 0.0190 0.0212 0.0126 0.0201 0.0210 0.1207 0.0041 0.0944 0.4223 0.5744
#> [25,] 0.0202 0.0139 0.0029 0.0160 0.0106 0.1077 0.0134 0.2363 0.2385 0.0075
#> [26,] 0.0099 0.0042 0.0057 0.0051 0.0033 0.1027 0.0058 0.1287 0.1850 0.2647
#> [27,] 0.0151 0.0056 0.0026 0.0029 0.0104 0.1452 0.0163 0.2211 0.1188 0.0750
#> [28,] 0.0126 0.0022 0.0037 0.0034 0.0114 0.2587 0.0077 0.2304 0.2067 0.3416
#> [29,] 0.0013 0.0029 0.0020 0.0062 0.0026 0.1267 0.0052 0.1577 0.1927 0.2361
#> [30,] 0.0121 0.0097 0.0085 0.0047 0.0048 0.0922 0.0053 0.1027 0.0613 0.1465
#> [31,] 0.0114 0.0050 0.0030 0.0064 0.0058 0.0682 0.0030 0.0993 0.0717 0.0576
#> [32,] 0.0198 0.0074 0.0035 0.0100 0.0048 0.0472 0.0019 0.1056 0.1388 0.0598
#> [33,] 0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> [34,] 0.0036 0.0058 0.0067 0.0035 0.0043 0.0253 0.0033 0.0279 0.0130 0.0489
#> [35,] 0.0158 0.0122 0.0038 0.0101 0.0228 0.0561 0.0124 0.0832 0.0672 0.1372
#> [36,] 0.0039 0.0068 0.0060 0.0045 0.0002 0.1278 0.0029 0.1674 0.1373 0.2922
#> [37,] 0.0081 0.0070 0.0135 0.0067 0.0078 0.1342 0.0068 0.1161 0.0663 0.0155
#> [38,] 0.0038 0.0116 0.0033 0.0039 0.0081 0.3823 0.0053 0.3729 0.3583 0.3429
#> [39,] 0.0158 0.0326 0.0201 0.0168 0.0245 0.1227 0.0154 0.2495 0.4566 0.6587
#> [40,] 0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.5247509 0.5855026 0.5354496 0.5456144 0.4768748 0.5065339 0.5288295
#> [2,] 0.5192273 0.5891651 0.5408491 0.5211135 0.4684369 0.5162174 0.5204261
#> [3,] 0.5411131 0.5746612 0.5229540 0.5690576 0.5075215 0.5182174 0.5091149
#> [4,] 0.5457658 0.5901258 0.5238389 0.5869990 0.5290103 0.5050160 0.5101622
#> [5,] 0.5252994 0.6028158 0.5073148 0.5850927 0.5304705 0.5288466 0.4784401
#> [6,] 0.5122509 0.5986129 0.5057007 0.5936938 0.5609190 0.5432390 0.4875025
#> [7,] 0.5138027 0.5873283 0.5106288 0.5469868 0.5026010 0.5274483 0.5109251
#> [8,] 0.5206856 0.5992318 0.5388573 0.5331176 0.4776534 0.5066960 0.5197184
#> [9,] 0.5443372 0.5857184 0.5293803 0.5496259 0.4802410 0.4894172 0.5106749
#> [10,] 0.5358727 0.5922448 0.5179243 0.5657004 0.5121870 0.5199117 0.4957041
#> [11,] 0.5229422 0.5964573 0.4970902 0.5895253 0.5609462 0.5425258 0.4644568
#> [12,] 0.5082870 0.5843674 0.5327308 0.5510996 0.5146962 0.5264326 0.4927679
#> [13,] 0.5426705 0.5923167 0.5090495 0.5754847 0.5275064 0.5205779 0.4959127
#> [14,] 0.4727933 0.5789314 0.5225762 0.5377863 0.5024833 0.5723336 0.4970726
#> [15,] 0.5273826 0.5831470 0.5296421 0.5084129 0.4720598 0.5202476 0.5099587
#> [16,] 0.5204978 0.5887642 0.5151590 0.5440866 0.5094695 0.5205395 0.4960751
#> [17,] 0.5346464 0.5612520 0.5164798 0.5193531 0.4945068 0.5010882 0.5193138
#> [18,] 0.5028356 0.5762628 0.5514373 0.5135527 0.4324476 0.5274373 0.5383729
#> [19,] 0.5354569 0.5784803 0.5226211 0.5541673 0.5015716 0.5020452 0.5046609
#> [20,] 0.5213585 0.5848427 0.5226161 0.5639885 0.5369091 0.5274881 0.4926030
#> [21,] 0.5275714 0.5754560 0.5162445 0.5732586 0.4806361 0.5228125 0.5152787
#> [22,] 0.5198189 0.5470216 0.5324386 0.5436585 0.4707237 0.5276110 0.4998560
#> [23,] 0.5226080 0.5793729 0.5402752 0.5254400 0.4871237 0.5162416 0.5057439
#> [24,] 0.4985869 0.6062231 0.5161944 0.5608849 0.4624248 0.5263225 0.4918418
#> [25,] 0.5034808 0.5707065 0.5459358 0.5159350 0.4307190 0.5603105 0.5083754
#> [26,] 0.5264320 0.5810360 0.5377367 0.5508012 0.4958144 0.5214935 0.5101498
#> [27,] 0.5073129 0.6122647 0.5160471 0.5719392 0.5472836 0.5478667 0.4830403
#> [28,] 0.5310827 0.6176221 0.4828502 0.5598077 0.4953744 0.5354438 0.4917749
#> [29,] 0.5121146 0.5867948 0.5107106 0.5801366 0.5360424 0.5376742 0.4835551
#> [30,] 0.5362407 0.5855482 0.5135974 0.5923944 0.5091191 0.4953317 0.4923382
#> [31,] 0.5314972 0.5763471 0.5311741 0.5316650 0.5114697 0.5111565 0.5189914
#> [32,] 0.5262314 0.5816896 0.5207655 0.5825898 0.5530634 0.5479795 0.4797004
#> [33,] 0.5094697 0.6149046 0.5133284 0.5531839 0.4583417 0.5380165 0.4928084
#> [34,] 0.5304815 0.5935946 0.5285682 0.5518751 0.4559189 0.5184708 0.5318983
#> [35,] 0.5172399 0.5911205 0.5086185 0.5803078 0.5443548 0.5418135 0.4820380
#> [36,] 0.5208919 0.5839000 0.5294604 0.5172787 0.4335158 0.5212043 0.5240405
#> [37,] 0.5058268 0.5789955 0.5485636 0.5109589 0.4284988 0.5309403 0.5367555
#> [38,] 0.4999718 0.6053262 0.5182520 0.5157897 0.4980272 0.5247432 0.4875099
#> [39,] 0.4881924 0.5972266 0.5405808 0.5636344 0.4543675 0.5281910 0.5126819
#> [40,] 0.4980976 0.5806254 0.5480675 0.5047974 0.4236412 0.5308256 0.5326553
#> [,8] [,9] [,10]
#> [1,] 0.4697357 0.5920629 0.5776802
#> [2,] 0.4907034 0.5889620 0.5492368
#> [3,] 0.4632681 0.6056162 0.5634972
#> [4,] 0.4665133 0.6173771 0.5839249
#> [5,] 0.4400475 0.6454974 0.6040598
#> [6,] 0.4773605 0.6263023 0.5640849
#> [7,] 0.4819589 0.6226421 0.5432943
#> [8,] 0.4882800 0.5718077 0.5569702
#> [9,] 0.4889468 0.6416125 0.5464948
#> [10,] 0.4924396 0.6194864 0.5574237
#> [11,] 0.4555218 0.6525741 0.5686591
#> [12,] 0.4562860 0.5979311 0.5742616
#> [13,] 0.4801793 0.6300112 0.5713096
#> [14,] 0.4695308 0.6000042 0.5640754
#> [15,] 0.4880972 0.6074092 0.5606863
#> [16,] 0.4557923 0.6272362 0.5936389
#> [17,] 0.4808910 0.5765126 0.5825535
#> [18,] 0.5462444 0.5553129 0.5020878
#> [19,] 0.4573929 0.6056299 0.5894596
#> [20,] 0.4446666 0.6310269 0.5928337
#> [21,] 0.4749594 0.6181000 0.5554059
#> [22,] 0.4901085 0.6044384 0.5362525
#> [23,] 0.4680861 0.6149736 0.5519681
#> [24,] 0.5258498 0.5581756 0.4900151
#> [25,] 0.5689494 0.5863343 0.4798350
#> [26,] 0.4700676 0.6222008 0.5680727
#> [27,] 0.4732664 0.6382203 0.5754750
#> [28,] 0.4666042 0.6355299 0.5584712
#> [29,] 0.4583054 0.6307645 0.5898933
#> [30,] 0.4702405 0.5983407 0.5761348
#> [31,] 0.4673268 0.5911606 0.5871468
#> [32,] 0.4942487 0.6319123 0.5257699
#> [33,] 0.5195530 0.5693836 0.4983970
#> [34,] 0.5116833 0.5650011 0.5633636
#> [35,] 0.4956134 0.6195824 0.5320546
#> [36,] 0.4956498 0.5902473 0.5353930
#> [37,] 0.5516757 0.5611566 0.5087637
#> [38,] 0.4890119 0.6122438 0.5292585
#> [39,] 0.5322761 0.5469155 0.5033569
#> [40,] 0.5393428 0.5657877 0.5134556
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5393420 0.4606580
#> [2,] 0.5383102 0.4616898
#> [3,] 0.5420884 0.4579116
#> [4,] 0.5439279 0.4560721
#> [5,] 0.5467508 0.4532492
#> [6,] 0.5473877 0.4526123
#> [7,] 0.5423570 0.4576430
#> [8,] 0.5388394 0.4611606
#> [9,] 0.5405963 0.4594037
#> [10,] 0.5436076 0.4563924
#> [11,] 0.5485512 0.4514488
#> [12,] 0.5420823 0.4579177
#> [13,] 0.5451344 0.4548656
#> [14,] 0.5424064 0.4575936
#> [15,] 0.5394115 0.4605885
#> [16,] 0.5433345 0.4566655
#> [17,] 0.5397443 0.4602557
#> [18,] 0.5350005 0.4649995
#> [19,] 0.5417542 0.4582458
#> [20,] 0.5445611 0.4554389
#> [21,] 0.5416868 0.4583132
#> [22,] 0.5393382 0.4606618
#> [23,] 0.5395659 0.4604341
#> [24,] 0.5401567 0.4598433
#> [25,] 0.5370751 0.4629249
#> [26,] 0.5411554 0.4588446
#> [27,] 0.5467504 0.4532496
#> [28,] 0.5453318 0.4546682
#> [29,] 0.5460396 0.4539604
#> [30,] 0.5434890 0.4565110
#> [31,] 0.5407129 0.4592871
#> [32,] 0.5457732 0.4542268
#> [33,] 0.5406742 0.4593258
#> [34,] 0.5391715 0.4608285
#> [35,] 0.5458071 0.4541929
#> [36,] 0.5372309 0.4627691
#> [37,] 0.5354123 0.4645877
#> [38,] 0.5415245 0.4584755
#> [39,] 0.5382750 0.4617250
#> [40,] 0.5352346 0.4647654
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.0990845969 0.3454040 0.14203687 0.18296616 -0.092567039 0.026137001
#> [2,] 0.0769471879 0.3605151 0.16376154 0.08450434 -0.126420501 0.064892218
#> [3,] 0.1648246777 0.3008946 0.09188039 0.27800730 0.030088294 0.072901998
#> [4,] 0.1835771533 0.3644853 0.09542803 0.35157297 0.116171761 0.020064677
#> [5,] 0.1012840952 0.4172114 0.02926121 0.34371502 0.122033417 0.115514623
#> [6,] 0.0490132915 0.3996890 0.02280367 0.37925650 0.244892805 0.173389117
#> [7,] 0.0552247657 0.3529317 0.04252153 0.18850337 0.010404132 0.109903681
#> [8,] 0.0827897866 0.4022652 0.15574323 0.13266474 -0.089446112 0.026785677
#> [9,] 0.1778159898 0.3462933 0.11765690 0.19915927 -0.079077153 -0.042337461
#> [10,] 0.1437378408 0.3732531 0.07172779 0.26433002 0.048757659 0.079689072
#> [11,] 0.0918331970 0.3907253 -0.01163915 0.36200320 0.245003028 0.170515048
#> [12,] 0.0331512128 0.3407282 0.13111087 0.20511451 0.058801668 0.105829103
#> [13,] 0.1710980571 0.3735508 0.03620176 0.30426474 0.110136739 0.082357987
#> [14,] -0.1089342739 0.3183881 0.09036637 0.15143377 0.009933435 0.291378683
#> [15,] 0.1096400986 0.3357056 0.11870757 0.03365494 -0.111877199 0.081034516
#> [16,] 0.0820372247 0.3588589 0.06065479 0.17680553 0.037882511 0.082204419
#> [17,] 0.1388078956 0.2462448 0.06594304 0.07745095 -0.021973688 0.004352620
#> [18,] 0.0113427189 0.3074502 0.20647967 0.05422412 -0.271871911 0.109859660
#> [19,] 0.1420662023 0.3165379 0.09054641 0.21752289 0.006286454 0.008180782
#> [20,] 0.0854858898 0.3426855 0.09052598 0.25736541 0.147905545 0.110063235
#> [21,] 0.1103975490 0.3041473 0.06500078 0.29515873 -0.077494504 0.091313415
#> [22,] 0.0793169908 0.1886438 0.12993697 0.17507998 -0.117239182 0.110556287
#> [23,] 0.0904936400 0.3201996 0.16145039 0.10184801 -0.051516581 0.064989090
#> [24,] -0.0056523984 0.4314635 0.06480007 0.24475411 -0.150584655 0.105387599
#> [25,] 0.0139235885 0.2847344 0.18426274 0.06376148 -0.278918356 0.242422302
#> [26,] 0.1058264652 0.3270275 0.15123422 0.20390820 -0.016742768 0.086026977
#> [27,] 0.0292535826 0.4568418 0.06421065 0.28976741 0.189701444 0.192055024
#> [28,] 0.1244912121 0.4794674 -0.06862611 0.24038146 -0.018502912 0.142013569
#> [29,] 0.0484680337 0.3507308 0.04284915 0.32333423 0.144420278 0.150982992
#> [30,] 0.1452174867 0.3455917 0.05440309 0.37387263 0.036480403 -0.018673658
#> [31,] 0.1261558457 0.3077955 0.12485831 0.12682966 0.045886780 0.044633457
#> [32,] 0.1050218965 0.3297134 0.08310974 0.33341380 0.213055847 0.192510258
#> [33,] 0.0378833504 0.4679761 0.05332621 0.21354355 -0.167020478 0.152360199
#> [34,] 0.1220774205 0.3788453 0.11439748 0.20824982 -0.176783186 0.073916734
#> [35,] 0.0689868557 0.3685995 0.03447751 0.32403719 0.177886614 0.167645478
#> [36,] 0.0836160981 0.3388042 0.11797833 0.06914224 -0.267520765 0.084868042
#> [37,] 0.0233082776 0.3186510 0.19486890 0.04384246 -0.287978526 0.123919729
#> [38,] -0.0001126526 0.4277081 0.07304030 0.06317982 -0.007891417 0.099053705
#> [39,] -0.0472391330 0.3939225 0.16268115 0.25592542 -0.183039280 0.112883596
#> [40,] -0.0076094852 0.3253412 0.19286555 0.01919029 -0.307843546 0.123459044
#> [,7] [,8] [,9] [,10]
#> [1,] 0.1154460552 -0.12120546 0.3724997 0.313257404
#> [2,] 0.0817500435 -0.03719049 0.3596759 0.197587471
#> [3,] 0.0364635423 -0.14719265 0.4289220 0.255367469
#> [4,] 0.0406543387 -0.13414747 0.4784303 0.338906718
#> [5,] -0.0862929092 -0.24096917 0.5993054 0.422409850
#> [6,] -0.0500005630 -0.09062010 0.5163862 0.257757201
#> [7,] 0.0437072750 -0.07219570 0.5007779 0.173612095
#> [8,] 0.0789143974 -0.04688857 0.2892302 0.228874814
#> [9,] 0.0427061502 -0.04422004 0.5823699 0.186518036
#> [10,] -0.0171841512 -0.03024386 0.4873688 0.230712660
#> [11,] -0.1424129086 -0.17838423 0.6303734 0.276382437
#> [12,] -0.0289303887 -0.17530341 0.3968519 0.299259828
#> [13,] -0.0163493760 -0.07932419 0.5322649 0.287196219
#> [14,] -0.0117095764 -0.12202808 0.4054824 0.257718780
#> [15,] 0.0398399006 -0.04762028 0.4364349 0.243947761
#> [16,] -0.0157000599 -0.17729356 0.5203783 0.379029052
#> [17,] 0.0772937521 -0.07647320 0.3084734 0.333264463
#> [18,] 0.1537942056 0.18550767 0.2221608 0.008351178
#> [19,] 0.0186440490 -0.17084254 0.4289793 0.361731887
#> [20,] -0.0295901010 -0.22224389 0.5366248 0.375692296
#> [21,] 0.0611338227 -0.10024622 0.4814915 0.222537547
#> [22,] -0.0005760541 -0.03957129 0.4239931 0.145264899
#> [23,] 0.0229768069 -0.12782934 0.4682674 0.208625807
#> [24,] -0.0326357142 0.10349140 0.2337611 -0.039944862
#> [25,] 0.0335048762 0.27756605 0.3488321 -0.080703770
#> [26,] 0.0406049605 -0.11987275 0.4988999 0.273992264
#> [27,] -0.0678649728 -0.10703658 0.5676481 0.304224965
#> [28,] -0.0329032384 -0.13378232 0.5560148 0.234959740
#> [29,] -0.0658034386 -0.16716675 0.5354977 0.363524291
#> [30,] -0.0306496535 -0.11917878 0.3985563 0.306926166
#> [31,] 0.0760020818 -0.13087940 0.3687654 0.352182662
#> [32,] -0.0812432081 -0.02300638 0.5404292 0.103170898
#> [33,] -0.0287683082 0.07825199 0.2793369 -0.006412200
#> [34,] 0.1277666801 0.04674185 0.2614841 0.254824504
#> [35,] -0.0718789309 -0.01754690 0.4877763 0.128394687
#> [36,] 0.0962362574 -0.01740142 0.3649878 0.141809286
#> [37,] 0.1472876804 0.20744358 0.2458573 0.035058334
#> [38,] -0.0499709142 -0.04395930 0.4567539 0.117167691
#> [39,] 0.0507384823 0.12928404 0.1882156 0.013427833
#> [40,] 0.1308073313 0.15769733 0.2646854 0.053835387
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.1305281 -0.02716605
#> [2,] 0.1304182 -0.02312352
#> [3,] 0.1345776 -0.03417541
#> [4,] 0.1382835 -0.03788238
#> [5,] 0.1423140 -0.04523723
#> [6,] 0.1474919 -0.04262952
#> [7,] 0.1381637 -0.03167129
#> [8,] 0.1322024 -0.02346890
#> [9,] 0.1333390 -0.02940464
#> [10,] 0.1392480 -0.03562653
#> [11,] 0.1476264 -0.04719215
#> [12,] 0.1361986 -0.03252966
#> [13,] 0.1409305 -0.04010009
#> [14,] 0.1376302 -0.03240396
#> [15,] 0.1307315 -0.02724204
#> [16,] 0.1368128 -0.03696110
#> [17,] 0.1306395 -0.02867368
#> [18,] 0.1276173 -0.01261399
#> [19,] 0.1335781 -0.03382842
#> [20,] 0.1388300 -0.03988864
#> [21,] 0.1344022 -0.03273310
#> [22,] 0.1301255 -0.02755308
#> [23,] 0.1312995 -0.02729584
#> [24,] 0.1393792 -0.02159421
#> [25,] 0.1307187 -0.01785437
#> [26,] 0.1332328 -0.03176201
#> [27,] 0.1458339 -0.04171557
#> [28,] 0.1422560 -0.03957052
#> [29,] 0.1422608 -0.04242087
#> [30,] 0.1384194 -0.03597718
#> [31,] 0.1324144 -0.03079863
#> [32,] 0.1444519 -0.03915505
#> [33,] 0.1388452 -0.02421206
#> [34,] 0.1314631 -0.02554462
#> [35,] 0.1455920 -0.03815147
#> [36,] 0.1279147 -0.02128510
#> [37,] 0.1278171 -0.01406958
#> [38,] 0.1391448 -0.02733675
#> [39,] 0.1355280 -0.01787226
#> [40,] 0.1273201 -0.01385214
#>
#>
#> $e
#> [,1] [,2]
#> [1,] -0.5393420 0.5393420
#> [2,] -0.5383102 0.5383102
#> [3,] 0.4579116 -0.4579116
#> [4,] 0.4560721 -0.4560721
#> [5,] 0.4532492 -0.4532492
#> [6,] -0.5473877 0.5473877
#> [7,] -0.5423570 0.5423570
#> [8,] 0.4611606 -0.4611606
#> [9,] 0.4594037 -0.4594037
#> [10,] 0.4563924 -0.4563924
#> [11,] 0.4514488 -0.4514488
#> [12,] -0.5420823 0.5420823
#> [13,] 0.4548656 -0.4548656
#> [14,] -0.5424064 0.5424064
#> [15,] -0.5394115 0.5394115
#> [16,] 0.4566655 -0.4566655
#> [17,] -0.5397443 0.5397443
#> [18,] -0.5350005 0.5350005
#> [19,] 0.4582458 -0.4582458
#> [20,] 0.4554389 -0.4554389
#> [21,] 0.4583132 -0.4583132
#> [22,] 0.4606618 -0.4606618
#> [23,] 0.4604341 -0.4604341
#> [24,] 0.4598433 -0.4598433
#> [25,] -0.5370751 0.5370751
#> [26,] 0.4588446 -0.4588446
#> [27,] -0.5467504 0.5467504
#> [28,] -0.5453318 0.5453318
#> [29,] 0.4539604 -0.4539604
#> [30,] -0.5434890 0.5434890
#> [31,] -0.5407129 0.5407129
#> [32,] 0.4542268 -0.4542268
#> [33,] 0.4593258 -0.4593258
#> [34,] 0.4608285 -0.4608285
#> [35,] 0.4541929 -0.4541929
#> [36,] 0.4627691 -0.4627691
#> [37,] -0.5354123 0.5354123
#> [38,] -0.5415245 0.5415245
#> [39,] 0.4617250 -0.4617250
#> [40,] -0.5352346 0.5352346
#>
#> $L
#> [1] 0.6839408 0.6890132 0.6849613 0.6873310 0.6880350 0.6824882
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5217391