The 'dlmtree' function accommodates various response variable types, including continuous, binary, and zero-inflated count values. The function is designed to handle both single exposure and exposure mixtures. For a single exposure, users are offered options to model non-linear effects (tdlnm), linear effects (tdlm), or heterogeneous subgroup/individualized effects (hdlm). In the case of exposure mixtures, the function supports lagged interactions (tdlmm), and heterogeneous subgroup/individualized effects (hdlmm) allowing for a comprehensive exploration of mixture exposure heterogeneity. Additionally, users can fine-tune parameters to impose effect shrinkage and perform exposure selection, enhancing the adaptability and precision of the modeling process. For more detailed documentation, visit: dlmtree website.
Usage
dlmtree(
formula,
data,
exposure.data,
dlm.type = "linear",
family = "gaussian",
mixture = FALSE,
het = FALSE,
control.mcmc = list(),
control.hyper = list(),
control.family = list(),
control.tdlnm = list(),
control.het = list(),
control.mix = list(),
control.monotone = list(),
control.diagnose = list()
)Arguments
- formula
object of class formula, a symbolic description of the fixed effect model to be fitted, e.g. y ~ a + b.
- data
data frame containing variables used in the formula.
- exposure.data
numerical matrix of exposure data with same length as data, for a mixture setting (tdlmm, hdlmm): named list containing equally sized numerical matrices of exposure data having same length as data.
- dlm.type
dlm model specification: "linear" (default), "nonlinear", "monotone".
- family
'gaussian' for continuous response, 'logit' for binomial, 'zinb' for zero-inflated negative binomial.
- mixture
flag for mixture, set to TRUE for tdlmm and hdlmm (default: FALSE).
- het
flag for heterogeneity, set to TRUE for hdlm and hdlmm (default: FALSE).
- control.mcmc
list of MCMC control parameters. This is passed to dlmtree.control.mcmc.
- control.hyper
list of hyperparameter control parameters. This is passed to dlmtree.control.hyper
- control.family
list of family control parameters. This is passed to dlmtree.control.family
- control.tdlnm
list of TDLNM control parameters. This is passed to dlmtree.control.tdlnm
- control.het
list of control parameters for heterogeneous models. This is passed to dlmtree.control.het
- control.mix
list of mixture control parameters. This is passed to dlmtree.control.mix
- control.monotone
list of control parameters for monotone model. This is passed to dlmtree.control.monotone
- control.diagnose
list of control parameters for diagnostics. This is passed to dlmtree.control.diagnose
Details
dlmtree
Model is recommended to be run for at minimum 5000 burn-in iterations followed by 15000 sampling iterations with a thinning factor of 5. Convergence can be checked by re-running the model and validating consistency of results. Examples are provided below for the syntax for running different types of models. For more examples, visit: dlmtree website.
Examples
# \donttest{
# The first three examples are for one lagged exposure
# treed distributed lag model (TDLM)
# binary outcome with logit link
D <- sim.tdlmm(sim = "A", mean.p = 0.5, n = 1000)
tdlm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures[[1]],
dlm.type = "linear",
family = "logit",
control.family = list(binomial.size = 1))
#> Preparing data...
#>
#> Running TDLM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 2 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlm.sum <- summary(tdlm.fit)
tdlm.sum
#> $ctr
#> $ctr$class
#> [1] "tdlm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "logit"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] 0.2022322
#>
#> $rse
#> [1] 0
#>
#> $n
#> [1] 1000
#>
#> $matfit
#> [1] 0.0080643570 0.0041229714 0.0070913593 0.0068576677 0.0057602633
#> [6] 0.0024153681 -0.0011957739 -0.0060546758 -0.0081682549 -0.0074412274
#> [11] -0.0068802770 -0.0030292656 0.0007884911 0.0062279315 0.0092141692
#> [16] 0.0102715415 0.0094927422 0.0147990116 0.0277838883 0.0402109639
#> [21] 0.0542117792 0.1138916250 0.1177125197 0.1169339882 0.1015244792
#> [26] 0.0953374280 0.0558067963 0.0047928425 0.0026319280 -0.0019186285
#> [31] -0.0082937985 -0.0078658962 -0.0061045048 -0.0026802000 -0.0003908520
#> [36] -0.0008014059 0.0031780308
#>
#> $cilower
#> [1] -0.03301816 -0.03277974 -0.02645146 -0.01924514 -0.02605587 -0.02828722
#> [7] -0.04082016 -0.05075107 -0.05554114 -0.04677224 -0.04611749 -0.03858785
#> [13] -0.03131607 -0.02782116 -0.02245884 -0.02776494 -0.05013217 -0.02959275
#> [19] -0.01973634 -0.01236464 -0.01167314 0.05074356 0.05224018 0.04938160
#> [25] 0.01960324 0.01739656 -0.02589788 -0.04882300 -0.04771592 -0.05419332
#> [31] -0.05758256 -0.04917647 -0.05017188 -0.04399975 -0.03532641 -0.04191435
#> [37] -0.04151786
#>
#> $ciupper
#> [1] 0.08027373 0.05145767 0.05020728 0.04632383 0.04619321 0.03566578
#> [7] 0.03022854 0.02446406 0.02385699 0.01813352 0.02404091 0.02862653
#> [13] 0.03183830 0.04384448 0.05131304 0.05101657 0.05485762 0.07018150
#> [19] 0.10114152 0.11679955 0.13517534 0.18596620 0.18759470 0.18751462
#> [25] 0.17403889 0.17815551 0.14658341 0.06503692 0.06329912 0.04698862
#> [31] 0.02917582 0.03106028 0.03745759 0.03238843 0.05172128 0.05924452
#> [37] 0.06856502
#>
#> $cumulative.effect
#> mean 2.5% 97.5%
#> 0.7582974 0.3604214 1.1422907
#>
#> $formula
#> y ~ .
#> <environment: 0x55b84eb9c8b8>
#>
#> $gamma.mean
#> (Intercept) c1 c2 c3 c4 c5
#> 0.015116403 0.089077368 -0.148718615 -0.080056384 -0.053345863 -0.149920771
#> b1 b2 b3 b4 b5
#> 0.039214207 -0.283187098 0.177389126 0.009262515 0.178222824
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5
#> 2.5% -0.2574239 -0.02386233 -0.26127652 -0.22738768 -0.19280488 -0.2829940
#> 97.5% 0.3101935 0.19857171 -0.02764447 0.04574338 0.06903427 -0.0227069
#> b1 b2 b3 b4 b5
#> 2.5% -0.2225395 -0.550004802 -0.08975365 -0.2674135 -0.07181459
#> 97.5% 0.3213861 0.003684051 0.47712052 0.2647797 0.45371245
#>
#> attr(,"class")
#> [1] "summary.tdlm"
# plot results
plot(tdlm.sum)
# Treed distributed lag nonlinear model (TDLNM)
# Gaussian regression model
D <- sim.tdlnm(sim = "A", error.to.signal = 1)
tdlnm.fit <- dlmtree(formula = y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "nonlinear",
family = "gaussian")
#> Preparing data...
#>
#> Running TDLNM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 0 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlnm.sum <- summary(tdlnm.fit)
#> Centered DLNM at exposure value 0
tdlnm.sum
#> $ctr
#> $ctr$class
#> [1] "tdlnm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] 0.8355243
#>
#> $rse
#> [1] 0.1337037
#>
#> $n
#> [1] 926
#>
#> $plot.dat
#> Tmin Tmax Xmin Xmax PredVal Est SD CIMin
#> 1 0 1 1.062245 1.699981 1.648694 2.412307e-02 0.04458533 -0.057599872
#> 2 0 1 1.699981 1.775368 1.751268 3.559290e-02 0.06420788 -0.101384922
#> 3 0 1 1.775368 1.835269 1.799468 3.926745e-02 0.07093067 -0.114006201
#> 4 0 1 1.835269 1.892682 1.871069 4.187020e-02 0.07745985 -0.120554636
#> 5 0 1 1.892682 1.933662 1.914296 4.181490e-02 0.07981894 -0.119925264
#> 6 0 1 1.933662 1.972404 1.953028 4.085366e-02 0.08128698 -0.133035202
#> 7 0 1 1.972404 2.008396 1.991781 3.918274e-02 0.08240350 -0.150007896
#> 8 0 1 2.008396 2.041395 2.025010 3.734160e-02 0.08323746 -0.155981468
#> 9 0 1 2.041395 2.076143 2.057780 3.534291e-02 0.08404931 -0.153907625
#> 10 0 1 2.076143 2.117286 2.094506 3.317352e-02 0.08501218 -0.142913837
#> 11 0 1 2.117286 2.163326 2.140066 3.116064e-02 0.08628472 -0.163708370
#> 12 0 1 2.163326 2.205605 2.186586 3.065410e-02 0.08754431 -0.170810549
#> 13 0 1 2.205605 2.246900 2.224624 3.189313e-02 0.08840402 -0.171145546
#> 14 0 1 2.246900 2.293677 2.269176 3.551964e-02 0.08909676 -0.166303527
#> 15 0 1 2.293677 2.343877 2.318177 4.210756e-02 0.08944621 -0.150710709
#> 16 0 1 2.343877 2.403865 2.369576 5.126015e-02 0.08948432 -0.136659137
#> 17 0 1 2.403865 2.496138 2.438154 6.515629e-02 0.08938554 -0.129923408
#> 18 0 1 2.496138 2.627070 2.554122 8.717379e-02 0.08963769 -0.116135892
#> 19 0 1 2.627070 3.622562 2.700018 1.069573e-01 0.09298430 -0.096318216
#> 20 1 2 1.062245 1.699981 1.648694 2.872700e-02 0.04302235 -0.029945121
#> 21 1 2 1.699981 1.775368 1.751268 4.365589e-02 0.06260670 -0.044574570
#> 22 1 2 1.775368 1.835269 1.799468 4.901434e-02 0.06951049 -0.051698778
#> 23 1 2 1.835269 1.892682 1.871069 5.390946e-02 0.07610483 -0.070985955
#> 24 1 2 1.892682 1.933662 1.914296 5.504352e-02 0.07809197 -0.075780867
#> 25 1 2 1.933662 1.972404 1.953028 5.500586e-02 0.07883036 -0.072011974
#> 26 1 2 1.972404 2.008396 1.991781 5.412615e-02 0.07883361 -0.070511951
#> 27 1 2 2.008396 2.041395 2.025010 5.286339e-02 0.07846957 -0.075330114
#> 28 1 2 2.041395 2.076143 2.057780 5.135084e-02 0.07797852 -0.079192362
#> 29 1 2 2.076143 2.117286 2.094506 4.963400e-02 0.07747816 -0.091505320
#> 30 1 2 2.117286 2.163326 2.140066 4.805780e-02 0.07714768 -0.083055093
#> 31 1 2 2.163326 2.205605 2.186586 4.786908e-02 0.07720164 -0.085626808
#> 32 1 2 2.205605 2.246900 2.224624 4.928534e-02 0.07745546 -0.079620847
#> 33 1 2 2.246900 2.293677 2.269176 5.304550e-02 0.07785342 -0.080488032
#> 34 1 2 2.293677 2.343877 2.318177 5.972205e-02 0.07830555 -0.079679252
#> 35 1 2 2.343877 2.403865 2.369576 6.895154e-02 0.07877069 -0.076437564
#> 36 1 2 2.403865 2.496138 2.438154 8.302431e-02 0.07937388 -0.053132080
#> 37 1 2 2.496138 2.627070 2.554122 1.058456e-01 0.07976174 -0.025767870
#> 38 1 2 2.627070 3.622562 2.700018 1.276882e-01 0.07990795 -0.009846849
#> 39 2 3 1.062245 1.699981 1.648694 2.999097e-02 0.04215600 -0.028815465
#> 40 2 3 1.699981 1.775368 1.751268 4.598885e-02 0.06053515 -0.040273910
#> 41 2 3 1.775368 1.835269 1.799468 5.193583e-02 0.06677639 -0.050488234
#> 42 2 3 1.835269 1.892682 1.871069 5.776211e-02 0.07243513 -0.053102545
#> 43 2 3 1.892682 1.933662 1.914296 5.947774e-02 0.07389694 -0.047168108
#> 44 2 3 1.933662 1.972404 1.953028 5.996703e-02 0.07415479 -0.056743271
#> 45 2 3 1.972404 2.008396 1.991781 5.961346e-02 0.07362828 -0.064675367
#> 46 2 3 2.008396 2.041395 2.025010 5.879351e-02 0.07275146 -0.058115824
#> 47 2 3 2.041395 2.076143 2.057780 5.770101e-02 0.07170276 -0.057298894
#> 48 2 3 2.076143 2.117286 2.094506 5.642211e-02 0.07054003 -0.059514273
#> 49 2 3 2.117286 2.163326 2.140066 5.531734e-02 0.06939617 -0.068410174
#> 50 2 3 2.163326 2.205605 2.186586 5.550058e-02 0.06870403 -0.069523322
#> 51 2 3 2.205605 2.246900 2.224624 5.712542e-02 0.06843953 -0.064649461
#> 52 2 3 2.246900 2.293677 2.269176 6.101850e-02 0.06833221 -0.048669684
#> 53 2 3 2.293677 2.343877 2.318177 6.771826e-02 0.06833401 -0.055523760
#> 54 2 3 2.343877 2.403865 2.369576 7.687110e-02 0.06843191 -0.049668801
#> 55 2 3 2.403865 2.496138 2.438154 9.076155e-02 0.06872610 -0.036717232
#> 56 2 3 2.496138 2.627070 2.554122 1.132518e-01 0.06908434 -0.003674358
#> 57 2 3 2.627070 3.622562 2.700018 1.346383e-01 0.06996273 0.022609294
#> 58 3 4 1.062245 1.699981 1.648694 3.075569e-02 0.04237529 -0.026142515
#> 59 3 4 1.699981 1.775368 1.751268 4.703621e-02 0.06110064 -0.039869828
#> 60 3 4 1.775368 1.835269 1.799468 5.302602e-02 0.06763910 -0.039666073
#> 61 3 4 1.835269 1.892682 1.871069 5.875379e-02 0.07390638 -0.053102545
#> 62 3 4 1.892682 1.933662 1.914296 6.030530e-02 0.07579165 -0.047168135
#> 63 3 4 1.933662 1.972404 1.953028 6.058242e-02 0.07642718 -0.056743342
#> 64 3 4 1.972404 2.008396 1.991781 5.996297e-02 0.07625540 -0.064682354
#> 65 3 4 2.008396 2.041395 2.025010 5.888192e-02 0.07566132 -0.058400838
#> 66 3 4 2.041395 2.076143 2.057780 5.751259e-02 0.07488074 -0.063752909
#> 67 3 4 2.076143 2.117286 2.094506 5.591447e-02 0.07402258 -0.072777205
#> 68 3 4 2.117286 2.163326 2.140066 5.442346e-02 0.07328062 -0.081449880
#> 69 3 4 2.163326 2.205605 2.186586 5.424889e-02 0.07300940 -0.079176497
#> 70 3 4 2.205605 2.246900 2.224624 5.562193e-02 0.07304999 -0.079651550
#> 71 3 4 2.246900 2.293677 2.269176 5.927262e-02 0.07318587 -0.086441872
#> 72 3 4 2.293677 2.343877 2.318177 6.576651e-02 0.07325239 -0.079679252
#> 73 3 4 2.343877 2.403865 2.369576 7.475300e-02 0.07319338 -0.076437564
#> 74 3 4 2.403865 2.496138 2.438154 8.845029e-02 0.07310024 -0.053132080
#> 75 3 4 2.496138 2.627070 2.554122 1.105176e-01 0.07319255 -0.014124040
#> 76 3 4 2.627070 3.622562 2.700018 1.310833e-01 0.07428887 -0.003422141
#> 77 4 5 1.062245 1.699981 1.648694 3.156317e-02 0.04120656 -0.023840724
#> 78 4 5 1.699981 1.775368 1.751268 4.867841e-02 0.05857064 -0.028207354
#> 79 4 5 1.775368 1.835269 1.799468 5.514665e-02 0.06429721 -0.031425711
#> 80 4 5 1.835269 1.892682 1.871069 6.161767e-02 0.06935066 -0.032525475
#> 81 4 5 1.892682 1.933662 1.914296 6.360543e-02 0.07061094 -0.041710552
#> 82 4 5 1.933662 1.972404 1.953028 6.425116e-02 0.07080926 -0.038534958
#> 83 4 5 1.972404 2.008396 1.991781 6.397384e-02 0.07033130 -0.042262697
#> 84 4 5 2.008396 2.041395 2.025010 6.316388e-02 0.06957187 -0.047640154
#> 85 4 5 2.041395 2.076143 2.057780 6.204265e-02 0.06869584 -0.051179024
#> 86 4 5 2.076143 2.117286 2.094506 6.070207e-02 0.06777502 -0.053802264
#> 87 4 5 2.117286 2.163326 2.140066 5.950373e-02 0.06695594 -0.061710026
#> 88 4 5 2.163326 2.205605 2.186586 5.959898e-02 0.06654625 -0.059163163
#> 89 4 5 2.205605 2.246900 2.224624 6.116915e-02 0.06642140 -0.053519519
#> 90 4 5 2.246900 2.293677 2.269176 6.501883e-02 0.06634637 -0.043895647
#> 91 4 5 2.293677 2.343877 2.318177 7.168378e-02 0.06625319 -0.031178620
#> 92 4 5 2.343877 2.403865 2.369576 8.078793e-02 0.06621597 -0.017811434
#> 93 4 5 2.403865 2.496138 2.438154 9.454104e-02 0.06651209 -0.014373868
#> 94 4 5 2.496138 2.627070 2.554122 1.165006e-01 0.06762812 0.009596310
#> 95 4 5 2.627070 3.622562 2.700018 1.368335e-01 0.06930667 0.019954764
#> 96 5 6 1.062245 1.699981 1.648694 3.189547e-02 0.04140248 -0.023840724
#> 97 5 6 1.699981 1.775368 1.751268 4.938349e-02 0.05874175 -0.028207354
#> 98 5 6 1.775368 1.835269 1.799468 5.613265e-02 0.06444014 -0.031425711
#> 99 5 6 1.835269 1.892682 1.871069 6.317794e-02 0.06949464 -0.030497573
#> 100 5 6 1.892682 1.933662 1.914296 6.559919e-02 0.07080020 -0.041710552
#> 101 5 6 1.933662 1.972404 1.953028 6.667482e-02 0.07105832 -0.042515449
#> 102 5 6 1.972404 2.008396 1.991781 6.684913e-02 0.07063136 -0.042262697
#> 103 5 6 2.008396 2.041395 2.025010 6.642811e-02 0.06988103 -0.043175252
#> 104 5 6 2.041395 2.076143 2.057780 6.567862e-02 0.06895975 -0.049284694
#> 105 5 6 2.076143 2.117286 2.094506 6.472699e-02 0.06790822 -0.045046449
#> 106 5 6 2.117286 2.163326 2.140066 6.395377e-02 0.06681478 -0.046488467
#> 107 5 6 2.163326 2.205605 2.186586 6.440596e-02 0.06604894 -0.044214651
#> 108 5 6 2.205605 2.246900 2.224624 6.620895e-02 0.06563622 -0.038698500
#> 109 5 6 2.246900 2.293677 2.269176 7.026967e-02 0.06529491 -0.034460911
#> 110 5 6 2.293677 2.343877 2.318177 7.710303e-02 0.06505418 -0.025249820
#> 111 5 6 2.343877 2.403865 2.369576 8.633083e-02 0.06504616 -0.015057803
#> 112 5 6 2.403865 2.496138 2.438154 1.001969e-01 0.06560642 -0.003101263
#> 113 5 6 2.496138 2.627070 2.554122 1.222969e-01 0.06727656 0.012977852
#> 114 5 6 2.627070 3.622562 2.700018 1.428020e-01 0.06919003 0.034131469
#> 115 6 7 1.062245 1.699981 1.648694 3.191006e-02 0.04139846 -0.023840724
#> 116 6 7 1.699981 1.775368 1.751268 4.937266e-02 0.05873596 -0.028207354
#> 117 6 7 1.775368 1.835269 1.799468 5.610741e-02 0.06442937 -0.031425711
#> 118 6 7 1.835269 1.892682 1.871069 6.315175e-02 0.06945836 -0.030497573
#> 119 6 7 1.892682 1.933662 1.914296 6.559811e-02 0.07072904 -0.031995230
#> 120 6 7 1.933662 1.972404 1.953028 6.671967e-02 0.07093876 -0.036671521
#> 121 6 7 1.972404 2.008396 1.991781 6.696418e-02 0.07044765 -0.038125716
#> 122 6 7 2.008396 2.041395 2.025010 6.662150e-02 0.06963517 -0.038548850
#> 123 6 7 2.041395 2.076143 2.057780 6.596251e-02 0.06865595 -0.039392834
#> 124 6 7 2.076143 2.117286 2.094506 6.512237e-02 0.06755995 -0.043806830
#> 125 6 7 2.117286 2.163326 2.140066 6.449153e-02 0.06647024 -0.040512179
#> 126 6 7 2.163326 2.205605 2.186586 6.508088e-02 0.06579983 -0.042561025
#> 127 6 7 2.205605 2.246900 2.224624 6.698269e-02 0.06553488 -0.038582329
#> 128 6 7 2.246900 2.293677 2.269176 7.114015e-02 0.06542820 -0.034460911
#> 129 6 7 2.293677 2.343877 2.318177 7.805654e-02 0.06548568 -0.025249820
#> 130 6 7 2.343877 2.403865 2.369576 8.734948e-02 0.06578685 -0.015057803
#> 131 6 7 2.403865 2.496138 2.438154 1.012770e-01 0.06667925 -0.003101263
#> 132 6 7 2.496138 2.627070 2.554122 1.234345e-01 0.06861810 0.010093906
#> 133 6 7 2.627070 3.622562 2.700018 1.439458e-01 0.07051505 0.030748617
#> 134 7 8 1.062245 1.699981 1.648694 3.187632e-02 0.04142370 -0.023840724
#> 135 7 8 1.699981 1.775368 1.751268 4.931655e-02 0.05880018 -0.028207354
#> 136 7 8 1.775368 1.835269 1.799468 5.603930e-02 0.06451787 -0.031412116
#> 137 7 8 1.835269 1.892682 1.871069 6.306116e-02 0.06958193 -0.030497573
#> 138 7 8 1.892682 1.933662 1.914296 6.548933e-02 0.07087428 -0.031995230
#> 139 7 8 1.933662 1.972404 1.953028 6.659081e-02 0.07111016 -0.036671521
#> 140 7 8 1.972404 2.008396 1.991781 6.681158e-02 0.07066016 -0.038125716
#> 141 7 8 2.008396 2.041395 2.025010 6.644606e-02 0.06990132 -0.038548850
#> 142 7 8 2.041395 2.076143 2.057780 6.576302e-02 0.06899535 -0.039392834
#> 143 7 8 2.076143 2.117286 2.094506 6.489523e-02 0.06800543 -0.043806830
#> 144 7 8 2.117286 2.163326 2.140066 6.423101e-02 0.06707282 -0.040512179
#> 145 7 8 2.163326 2.205605 2.186586 6.478964e-02 0.06656771 -0.043832252
#> 146 7 8 2.205605 2.246900 2.224624 6.667008e-02 0.06641868 -0.043310715
#> 147 7 8 2.246900 2.293677 2.269176 7.080749e-02 0.06640219 -0.037975644
#> 148 7 8 2.293677 2.343877 2.318177 7.770801e-02 0.06648353 -0.029793821
#> 149 7 8 2.343877 2.403865 2.369576 8.699056e-02 0.06672248 -0.016121008
#> 150 7 8 2.403865 2.496138 2.438154 1.009122e-01 0.06743066 -0.014159766
#> 151 7 8 2.496138 2.627070 2.554122 1.230743e-01 0.06900259 0.010093906
#> 152 7 8 2.627070 3.622562 2.700018 1.436056e-01 0.07059074 0.030748617
#> 153 8 9 1.062245 1.699981 1.648694 3.136920e-02 0.04146530 -0.024210058
#> 154 8 9 1.699981 1.775368 1.751268 4.825358e-02 0.05902226 -0.031113464
#> 155 8 9 1.775368 1.835269 1.799468 5.460160e-02 0.06495047 -0.033318135
#> 156 8 9 1.835269 1.892682 1.871069 6.091206e-02 0.07059271 -0.042113981
#> 157 8 9 1.892682 1.933662 1.914296 6.282152e-02 0.07246179 -0.045386681
#> 158 8 9 1.933662 1.972404 1.953028 6.340890e-02 0.07342358 -0.042515449
#> 159 8 9 1.972404 2.008396 1.991781 6.308088e-02 0.07395348 -0.047864432
#> 160 8 9 2.008396 2.041395 2.025010 6.222989e-02 0.07426812 -0.054452665
#> 161 8 9 2.041395 2.076143 2.057780 6.106724e-02 0.07463382 -0.062182255
#> 162 8 9 2.076143 2.117286 2.094506 5.967615e-02 0.07527815 -0.071239791
#> 163 8 9 2.117286 2.163326 2.140066 5.840675e-02 0.07653036 -0.067541598
#> 164 8 9 2.163326 2.205605 2.186586 5.842039e-02 0.07818485 -0.061350897
#> 165 8 9 2.205605 2.246900 2.224624 5.991989e-02 0.07956932 -0.060912055
#> 166 8 9 2.246900 2.293677 2.269176 6.368720e-02 0.08094281 -0.057973279
#> 167 8 9 2.293677 2.343877 2.318177 7.026856e-02 0.08196439 -0.056572352
#> 168 8 9 2.343877 2.403865 2.369576 7.929911e-02 0.08253938 -0.047488737
#> 169 8 9 2.403865 2.496138 2.438154 9.298046e-02 0.08291699 -0.031269216
#> 170 8 9 2.496138 2.627070 2.554122 1.148648e-01 0.08344651 -0.013500175
#> 171 8 9 2.627070 3.622562 2.700018 1.350943e-01 0.08489233 0.017223213
#> 172 9 10 1.062245 1.699981 1.648694 2.910287e-02 0.04186227 -0.029943137
#> 173 9 10 1.699981 1.775368 1.751268 4.311190e-02 0.05975833 -0.045813665
#> 174 9 10 1.775368 1.835269 1.799468 4.759811e-02 0.06596505 -0.059397304
#> 175 9 10 1.835269 1.892682 1.871069 5.055088e-02 0.07283235 -0.079944123
#> 176 9 10 1.892682 1.933662 1.914296 5.012156e-02 0.07666536 -0.107281618
#> 177 9 10 1.933662 1.972404 1.953028 4.845969e-02 0.08083632 -0.154468502
#> 178 9 10 1.972404 2.008396 1.991781 4.579844e-02 0.08638683 -0.204958241
#> 179 9 10 2.008396 2.041395 2.025010 4.294376e-02 0.09253177 -0.236682278
#> 180 9 10 2.041395 2.076143 2.057780 3.986585e-02 0.09981170 -0.261652203
#> 181 9 10 2.076143 2.117286 2.094506 3.647521e-02 0.10903891 -0.287193039
#> 182 9 10 2.117286 2.163326 2.140066 3.304893e-02 0.12106025 -0.350587345
#> 183 9 10 2.163326 2.205605 2.186586 3.132038e-02 0.13260550 -0.446645498
#> 184 9 10 2.205605 2.246900 2.224624 3.176069e-02 0.14064761 -0.506106544
#> 185 9 10 2.246900 2.293677 2.269176 3.467104e-02 0.14794056 -0.553636328
#> 186 9 10 2.293677 2.343877 2.318177 4.069213e-02 0.15323624 -0.575276292
#> 187 9 10 2.343877 2.403865 2.369576 4.942127e-02 0.15618510 -0.580023691
#> 188 9 10 2.403865 2.496138 2.438154 6.292091e-02 0.15732993 -0.571959824
#> 189 9 10 2.496138 2.627070 2.554122 8.460049e-02 0.15619434 -0.539860142
#> 190 9 10 2.627070 3.622562 2.700018 1.045207e-01 0.15477933 -0.509993109
#> 191 10 11 1.062245 1.699981 1.648694 1.134135e-02 0.04232699 -0.045627814
#> 192 10 11 1.699981 1.775368 1.751268 -2.982666e-02 0.06232415 -0.114712734
#> 193 10 11 1.775368 1.835269 1.799468 -7.839959e-02 0.07122886 -0.172701781
#> 194 10 11 1.835269 1.892682 1.871069 -1.981793e-01 0.08517424 -0.309198897
#> 195 10 11 1.892682 1.933662 1.914296 -2.985484e-01 0.09428370 -0.421719054
#> 196 10 11 1.933662 1.972404 1.953028 -4.031432e-01 0.10243708 -0.539744981
#> 197 10 11 1.972404 2.008396 1.991781 -5.166940e-01 0.10990621 -0.661015362
#> 198 10 11 2.008396 2.041395 2.025010 -6.164824e-01 0.11527166 -0.769360875
#> 199 10 11 2.041395 2.076143 2.057780 -7.127688e-01 0.11934277 -0.870490863
#> 200 10 11 2.076143 2.117286 2.094506 -8.134828e-01 0.12237025 -0.971716931
#> 201 10 11 2.117286 2.163326 2.140066 -9.216649e-01 0.12407993 -1.078565522
#> 202 10 11 2.163326 2.205605 2.186586 -1.008191e+00 0.12408026 -1.164397268
#> 203 10 11 2.205605 2.246900 2.224624 -1.060005e+00 0.12330799 -1.218225041
#> 204 10 11 2.246900 2.293677 2.269176 -1.100691e+00 0.12208897 -1.258960324
#> 205 10 11 2.293677 2.343877 2.318177 -1.124957e+00 0.12093223 -1.279647829
#> 206 10 11 2.343877 2.403865 2.369576 -1.133978e+00 0.12039527 -1.288644349
#> 207 10 11 2.403865 2.496138 2.438154 -1.131096e+00 0.12099026 -1.300102481
#> 208 10 11 2.496138 2.627070 2.554122 -1.113784e+00 0.12377109 -1.294581157
#> 209 10 11 2.627070 3.622562 2.700018 -1.094127e+00 0.12681017 -1.267950610
#> 210 11 12 1.062245 1.699981 1.648694 1.007792e-02 0.04121793 -0.047147423
#> 211 11 12 1.699981 1.775368 1.751268 -3.220380e-02 0.06117849 -0.117264396
#> 212 11 12 1.775368 1.835269 1.799468 -8.142723e-02 0.07012480 -0.174987440
#> 213 11 12 1.835269 1.892682 1.871069 -2.022347e-01 0.08377488 -0.317445092
#> 214 11 12 1.892682 1.933662 1.914296 -3.031941e-01 0.09231989 -0.425175725
#> 215 11 12 1.933662 1.972404 1.953028 -4.082540e-01 0.09971031 -0.539744981
#> 216 11 12 1.972404 2.008396 1.991781 -5.221806e-01 0.10624453 -0.661015362
#> 217 11 12 2.008396 2.041395 2.025010 -6.222059e-01 0.11075154 -0.769360875
#> 218 11 12 2.041395 2.076143 2.057780 -7.186444e-01 0.11399897 -0.870490863
#> 219 11 12 2.076143 2.117286 2.094506 -8.194365e-01 0.11620897 -0.971716931
#> 220 11 12 2.117286 2.163326 2.140066 -9.275991e-01 0.11715689 -1.078565522
#> 221 11 12 2.163326 2.205605 2.186586 -1.014008e+00 0.11672652 -1.164397268
#> 222 11 12 2.205605 2.246900 2.224624 -1.065681e+00 0.11584902 -1.218225041
#> 223 11 12 2.246900 2.293677 2.269176 -1.106180e+00 0.11471461 -1.258925264
#> 224 11 12 2.293677 2.343877 2.318177 -1.130236e+00 0.11377766 -1.279420459
#> 225 11 12 2.343877 2.403865 2.369576 -1.139048e+00 0.11346308 -1.288050953
#> 226 11 12 2.403865 2.496138 2.438154 -1.135914e+00 0.11418467 -1.283395371
#> 227 11 12 2.496138 2.627070 2.554122 -1.118253e+00 0.11678431 -1.268816271
#> 228 11 12 2.627070 3.622562 2.700018 -1.098331e+00 0.11969782 -1.263648626
#> 229 12 13 1.062245 1.699981 1.648694 6.461242e-03 0.03633550 -0.047532884
#> 230 12 13 1.699981 1.775368 1.751268 -3.841193e-02 0.05269348 -0.118603668
#> 231 12 13 1.775368 1.835269 1.799468 -8.887834e-02 0.05939962 -0.178471045
#> 232 12 13 1.835269 1.892682 1.871069 -2.113388e-01 0.06943562 -0.319482130
#> 233 12 13 1.892682 1.933662 1.914296 -3.131155e-01 0.07601808 -0.432584506
#> 234 12 13 1.933662 1.972404 1.953028 -4.187703e-01 0.08199286 -0.544319233
#> 235 12 13 1.972404 2.008396 1.991781 -5.331602e-01 0.08750342 -0.667462264
#> 236 12 13 2.008396 2.041395 2.025010 -6.334828e-01 0.09145596 -0.769901380
#> 237 12 13 2.041395 2.076143 2.057780 -7.301327e-01 0.09444048 -0.872266440
#> 238 12 13 2.076143 2.117286 2.094506 -8.310787e-01 0.09666746 -0.975896798
#> 239 12 13 2.117286 2.163326 2.140066 -9.393341e-01 0.09802680 -1.082015379
#> 240 12 13 2.163326 2.205605 2.186586 -1.025757e+00 0.09832478 -1.168345765
#> 241 12 13 2.205605 2.246900 2.224624 -1.077404e+00 0.09813607 -1.222461420
#> 242 12 13 2.246900 2.293677 2.269176 -1.117850e+00 0.09775389 -1.261453379
#> 243 12 13 2.293677 2.343877 2.318177 -1.141842e+00 0.09742915 -1.281619683
#> 244 12 13 2.343877 2.403865 2.369576 -1.150599e+00 0.09745202 -1.288644349
#> 245 12 13 2.403865 2.496138 2.438154 -1.147428e+00 0.09823817 -1.300079845
#> 246 12 13 2.496138 2.627070 2.554122 -1.129805e+00 0.10057540 -1.291163500
#> 247 12 13 2.627070 3.622562 2.700018 -1.110032e+00 0.10335585 -1.266288243
#> 248 13 14 1.062245 1.699981 1.648694 1.365790e-03 0.03468046 -0.052319939
#> 249 13 14 1.699981 1.775368 1.751268 -4.727626e-02 0.05041055 -0.129218965
#> 250 13 14 1.775368 1.835269 1.799468 -9.951758e-02 0.05734674 -0.192850644
#> 251 13 14 1.835269 1.892682 1.871069 -2.242659e-01 0.06883503 -0.349978214
#> 252 13 14 1.892682 1.933662 1.914296 -3.271310e-01 0.07683746 -0.469930673
#> 253 13 14 1.933662 1.972404 1.953028 -4.335572e-01 0.08421926 -0.582677022
#> 254 13 14 1.972404 2.008396 1.991781 -5.485370e-01 0.09109577 -0.724990067
#> 255 13 14 2.008396 2.041395 2.025010 -6.492372e-01 0.09609649 -0.834797797
#> 256 13 14 2.041395 2.076143 2.057780 -7.461612e-01 0.09995605 -0.936538122
#> 257 13 14 2.076143 2.117286 2.094506 -8.473188e-01 0.10294782 -1.039176257
#> 258 13 14 2.117286 2.163326 2.140066 -9.557272e-01 0.10492407 -1.144533320
#> 259 13 14 2.163326 2.205605 2.186586 -1.042214e+00 0.10548908 -1.227267096
#> 260 13 14 2.205605 2.246900 2.224624 -1.093863e+00 0.10527976 -1.277910408
#> 261 13 14 2.246900 2.293677 2.269176 -1.134273e+00 0.10465268 -1.314155288
#> 262 13 14 2.293677 2.343877 2.318177 -1.158197e+00 0.10385615 -1.333379183
#> 263 13 14 2.343877 2.403865 2.369576 -1.166871e+00 0.10325054 -1.342236884
#> 264 13 14 2.403865 2.496138 2.438154 -1.163602e+00 0.10318170 -1.335690044
#> 265 13 14 2.496138 2.627070 2.554122 -1.145901e+00 0.10467003 -1.309918213
#> 266 13 14 2.627070 3.622562 2.700018 -1.126152e+00 0.10761447 -1.303786274
#> 267 14 15 1.062245 1.699981 1.648694 1.258851e-03 0.03377912 -0.052195216
#> 268 14 15 1.699981 1.775368 1.751268 -4.767043e-02 0.04892760 -0.129218965
#> 269 14 15 1.775368 1.835269 1.799468 -1.000884e-01 0.05570252 -0.192850644
#> 270 14 15 1.835269 1.892682 1.871069 -2.250957e-01 0.06725254 -0.349978214
#> 271 14 15 1.892682 1.933662 1.914296 -3.280885e-01 0.07545490 -0.469994302
#> 272 14 15 1.933662 1.972404 1.953028 -4.345980e-01 0.08307258 -0.582677022
#> 273 14 15 1.972404 2.008396 1.991781 -5.496266e-01 0.09020534 -0.724990067
#> 274 14 15 2.008396 2.041395 2.025010 -6.503413e-01 0.09542916 -0.836734598
#> 275 14 15 2.041395 2.076143 2.057780 -7.472569e-01 0.09950877 -0.937915335
#> 276 14 15 2.076143 2.117286 2.094506 -8.483842e-01 0.10274713 -1.040111845
#> 277 14 15 2.117286 2.163326 2.140066 -9.567355e-01 0.10502550 -1.145849747
#> 278 14 15 2.163326 2.205605 2.186586 -1.043158e+00 0.10587815 -1.227225730
#> 279 14 15 2.205605 2.246900 2.224624 -1.094760e+00 0.10586867 -1.274602058
#> 280 14 15 2.246900 2.293677 2.269176 -1.135130e+00 0.10541382 -1.311071192
#> 281 14 15 2.293677 2.343877 2.318177 -1.159036e+00 0.10471729 -1.331873734
#> 282 14 15 2.343877 2.403865 2.369576 -1.167717e+00 0.10412665 -1.333617958
#> 283 14 15 2.403865 2.496138 2.438154 -1.164488e+00 0.10399681 -1.322322333
#> 284 14 15 2.496138 2.627070 2.554122 -1.146878e+00 0.10540931 -1.309918213
#> 285 14 15 2.627070 3.622562 2.700018 -1.127194e+00 0.10848003 -1.303786274
#> 286 15 16 1.062245 1.699981 1.648694 1.576708e-02 0.03357678 -0.038330715
#> 287 15 16 1.699981 1.775368 1.751268 1.475390e-02 0.04804395 -0.075727231
#> 288 15 16 1.775368 1.835269 1.799468 9.365242e-03 0.05315818 -0.093938761
#> 289 15 16 1.835269 1.892682 1.871069 -5.128897e-03 0.05889024 -0.127503944
#> 290 15 16 1.892682 1.933662 1.914296 -1.692560e-02 0.06191028 -0.146016128
#> 291 15 16 1.933662 1.972404 1.953028 -2.862398e-02 0.06487636 -0.158715215
#> 292 15 16 1.972404 2.008396 1.991781 -4.062234e-02 0.06849523 -0.178838168
#> 293 15 16 2.008396 2.041395 2.025010 -5.055483e-02 0.07232740 -0.197553773
#> 294 15 16 2.041395 2.076143 2.057780 -5.954410e-02 0.07681357 -0.216497591
#> 295 15 16 2.076143 2.117286 2.094506 -6.816707e-02 0.08254314 -0.238961716
#> 296 15 16 2.117286 2.163326 2.140066 -7.606288e-02 0.09018274 -0.268232820
#> 297 15 16 2.163326 2.205605 2.186586 -8.035537e-02 0.09775737 -0.292298734
#> 298 15 16 2.205605 2.246900 2.224624 -8.087707e-02 0.10317792 -0.303516758
#> 299 15 16 2.246900 2.293677 2.269176 -7.824850e-02 0.10816864 -0.310508496
#> 300 15 16 2.293677 2.343877 2.318177 -7.197686e-02 0.11175070 -0.310375174
#> 301 15 16 2.343877 2.403865 2.369576 -6.277768e-02 0.11356290 -0.302879061
#> 302 15 16 2.403865 2.496138 2.438154 -4.871229e-02 0.11388050 -0.285930185
#> 303 15 16 2.496138 2.627070 2.554122 -2.649872e-02 0.11283214 -0.258328512
#> 304 15 16 2.627070 3.622562 2.700018 -6.267346e-03 0.11433056 -0.249958203
#> 305 16 17 1.062245 1.699981 1.648694 1.497256e-02 0.03433024 -0.038350867
#> 306 16 17 1.699981 1.775368 1.751268 1.341961e-02 0.04983037 -0.078512915
#> 307 16 17 1.775368 1.835269 1.799468 7.960967e-03 0.05554282 -0.103825671
#> 308 16 17 1.835269 1.892682 1.871069 -6.123081e-03 0.06189761 -0.134479121
#> 309 16 17 1.892682 1.933662 1.914296 -1.728064e-02 0.06482495 -0.148074487
#> 310 16 17 1.933662 1.972404 1.953028 -2.814257e-02 0.06719255 -0.158715215
#> 311 16 17 1.972404 2.008396 1.991781 -3.908437e-02 0.06961204 -0.174898804
#> 312 16 17 2.008396 2.041395 2.025010 -4.797972e-02 0.07193039 -0.184663448
#> 313 16 17 2.041395 2.076143 2.057780 -5.587777e-02 0.07455758 -0.197127471
#> 314 16 17 2.076143 2.117286 2.094506 -6.326137e-02 0.07793083 -0.210154418
#> 315 16 17 2.117286 2.163326 2.140066 -6.969646e-02 0.08255709 -0.231201464
#> 316 16 17 2.163326 2.205605 2.186586 -7.268716e-02 0.08729898 -0.237000019
#> 317 16 17 2.205605 2.246900 2.224624 -7.233334e-02 0.09076212 -0.241590448
#> 318 16 17 2.246900 2.293677 2.269176 -6.890886e-02 0.09396453 -0.250234953
#> 319 16 17 2.293677 2.343877 2.318177 -6.202328e-02 0.09622888 -0.253652491
#> 320 16 17 2.343877 2.403865 2.369576 -5.241245e-02 0.09733767 -0.251559983
#> 321 16 17 2.403865 2.496138 2.438154 -3.803721e-02 0.09758656 -0.242427059
#> 322 16 17 2.496138 2.627070 2.554122 -1.557377e-02 0.09753130 -0.219817769
#> 323 16 17 2.627070 3.622562 2.700018 4.811504e-03 0.09993686 -0.196023993
#> 324 17 18 1.062245 1.699981 1.648694 1.450100e-02 0.03379747 -0.038637027
#> 325 17 18 1.699981 1.775368 1.751268 1.272943e-02 0.04925141 -0.078499865
#> 326 17 18 1.775368 1.835269 1.799468 7.205300e-03 0.05495347 -0.101230127
#> 327 17 18 1.835269 1.892682 1.871069 -6.927394e-03 0.06115085 -0.135573505
#> 328 17 18 1.892682 1.933662 1.914296 -1.810458e-02 0.06380024 -0.146194913
#> 329 17 18 1.933662 1.972404 1.953028 -2.899742e-02 0.06573112 -0.161088764
#> 330 17 18 1.972404 2.008396 1.991781 -3.999933e-02 0.06748101 -0.174685594
#> 331 17 18 2.008396 2.041395 2.025010 -4.897937e-02 0.06900573 -0.182212974
#> 332 17 18 2.041395 2.076143 2.057780 -5.699544e-02 0.07063784 -0.185939631
#> 333 17 18 2.076143 2.117286 2.094506 -6.455111e-02 0.07265883 -0.195841257
#> 334 17 18 2.117286 2.163326 2.140066 -7.124567e-02 0.07534184 -0.199129867
#> 335 17 18 2.163326 2.205605 2.186586 -7.452633e-02 0.07796335 -0.196213959
#> 336 17 18 2.205605 2.246900 2.224624 -7.440351e-02 0.07972992 -0.194107876
#> 337 17 18 2.246900 2.293677 2.269176 -7.121693e-02 0.08111500 -0.192804181
#> 338 17 18 2.293677 2.343877 2.318177 -6.453031e-02 0.08167915 -0.188371311
#> 339 17 18 2.343877 2.403865 2.369576 -5.504722e-02 0.08135588 -0.186875829
#> 340 17 18 2.403865 2.496138 2.438154 -4.072388e-02 0.08015256 -0.181802218
#> 341 17 18 2.496138 2.627070 2.554122 -1.813970e-02 0.07830366 -0.153007634
#> 342 17 18 2.627070 3.622562 2.700018 2.535093e-03 0.07910663 -0.143781869
#> 343 18 19 1.062245 1.699981 1.648694 1.242085e-02 0.03314665 -0.038637027
#> 344 18 19 1.699981 1.775368 1.751268 9.579168e-03 0.04836129 -0.078499865
#> 345 18 19 1.775368 1.835269 1.799468 3.766013e-03 0.05415018 -0.101230127
#> 346 18 19 1.835269 1.892682 1.871069 -1.035815e-02 0.06093185 -0.135573505
#> 347 18 19 1.892682 1.933662 1.914296 -2.125789e-02 0.06430179 -0.146194913
#> 348 18 19 1.933662 1.972404 1.953028 -3.175231e-02 0.06717043 -0.164303857
#> 349 18 19 1.972404 2.008396 1.991781 -4.225358e-02 0.07014377 -0.181230969
#> 350 18 19 2.008396 2.041395 2.025010 -5.075934e-02 0.07290779 -0.191604843
#> 351 18 19 2.041395 2.076143 2.057780 -5.829908e-02 0.07586152 -0.200409727
#> 352 18 19 2.076143 2.117286 2.094506 -6.534397e-02 0.07936623 -0.199565562
#> 353 18 19 2.117286 2.163326 2.140066 -7.148000e-02 0.08371057 -0.199005099
#> 354 18 19 2.163326 2.205605 2.186586 -7.430575e-02 0.08767516 -0.195688870
#> 355 18 19 2.205605 2.246900 2.224624 -7.390236e-02 0.09025189 -0.197205504
#> 356 18 19 2.246900 2.293677 2.269176 -7.048117e-02 0.09231373 -0.196312228
#> 357 18 19 2.293677 2.343877 2.318177 -6.362905e-02 0.09339615 -0.190016538
#> 358 18 19 2.343877 2.403865 2.369576 -5.404315e-02 0.09347350 -0.185449219
#> 359 18 19 2.403865 2.496138 2.438154 -3.964360e-02 0.09263517 -0.177929653
#> 360 18 19 2.496138 2.627070 2.554122 -1.697616e-02 0.09065120 -0.152050869
#> 361 18 19 2.627070 3.622562 2.700018 3.819461e-03 0.08940820 -0.136969630
#> 362 19 20 1.062245 1.699981 1.648694 1.041855e-02 0.03244932 -0.047257657
#> 363 19 20 1.699981 1.775368 1.751268 6.010645e-03 0.04775313 -0.090997142
#> 364 19 20 1.775368 1.835269 1.799468 -6.796617e-04 0.05346167 -0.115971691
#> 365 19 20 1.835269 1.892682 1.871069 -1.621890e-02 0.05938775 -0.138176012
#> 366 19 20 1.892682 1.933662 1.914296 -2.800160e-02 0.06141716 -0.150206637
#> 367 19 20 1.933662 1.972404 1.953028 -3.927751e-02 0.06230557 -0.159500178
#> 368 19 20 1.972404 2.008396 1.991781 -5.052850e-02 0.06245252 -0.166794657
#> 369 19 20 2.008396 2.041395 2.025010 -5.963555e-02 0.06215184 -0.171219577
#> 370 19 20 2.041395 2.076143 2.057780 -6.771933e-02 0.06164645 -0.176419354
#> 371 19 20 2.076143 2.117286 2.094506 -7.530721e-02 0.06103870 -0.180384208
#> 372 19 20 2.117286 2.163326 2.140066 -8.201207e-02 0.06047283 -0.184165082
#> 373 19 20 2.163326 2.205605 2.186586 -8.530086e-02 0.06022176 -0.193046993
#> 374 19 20 2.205605 2.246900 2.224624 -8.519545e-02 0.06019239 -0.195855664
#> 375 19 20 2.246900 2.293677 2.269176 -8.204418e-02 0.06019253 -0.192654511
#> 376 19 20 2.293677 2.343877 2.318177 -7.540861e-02 0.06007679 -0.185995575
#> 377 19 20 2.343877 2.403865 2.369576 -6.598049e-02 0.05981443 -0.178968574
#> 378 19 20 2.403865 2.496138 2.438154 -5.171302e-02 0.05948631 -0.173540414
#> 379 19 20 2.496138 2.627070 2.554122 -2.914764e-02 0.05946224 -0.144822093
#> 380 19 20 2.627070 3.622562 2.700018 -8.385808e-03 0.06115914 -0.112320935
#> 381 20 21 1.062245 1.699981 1.648694 9.012642e-03 0.03017276 -0.047257657
#> 382 20 21 1.699981 1.775368 1.751268 3.603025e-03 0.04394810 -0.090997142
#> 383 20 21 1.775368 1.835269 1.799468 -3.610148e-03 0.04903710 -0.115971691
#> 384 20 21 1.835269 1.892682 1.871069 -1.994824e-02 0.05425810 -0.137750315
#> 385 20 21 1.892682 1.933662 1.914296 -3.221002e-02 0.05591282 -0.146065924
#> 386 20 21 1.933662 1.972404 1.953028 -4.390273e-02 0.05641658 -0.159284455
#> 387 20 21 1.972404 2.008396 1.991781 -5.555041e-02 0.05608322 -0.161731245
#> 388 20 21 2.008396 2.041395 2.025010 -6.497524e-02 0.05528766 -0.169866047
#> 389 20 21 2.041395 2.076143 2.057780 -7.334757e-02 0.05424357 -0.173262165
#> 390 20 21 2.076143 2.117286 2.094506 -8.122569e-02 0.05303054 -0.176145355
#> 391 20 21 2.117286 2.163326 2.140066 -8.823929e-02 0.05182633 -0.184068473
#> 392 20 21 2.163326 2.205605 2.186586 -9.178668e-02 0.05116286 -0.190610715
#> 393 20 21 2.205605 2.246900 2.224624 -9.185524e-02 0.05100011 -0.192993800
#> 394 20 21 2.246900 2.293677 2.269176 -8.887304e-02 0.05104058 -0.191422853
#> 395 20 21 2.293677 2.343877 2.318177 -8.239082e-02 0.05113577 -0.184196806
#> 396 20 21 2.343877 2.403865 2.369576 -7.309726e-02 0.05119566 -0.175390713
#> 397 20 21 2.403865 2.496138 2.438154 -5.897802e-02 0.05133687 -0.163871864
#> 398 20 21 2.496138 2.627070 2.554122 -3.658899e-02 0.05185986 -0.144731377
#> 399 20 21 2.627070 3.622562 2.700018 -1.592532e-02 0.05373974 -0.112426292
#> 400 21 22 1.062245 1.699981 1.648694 8.770280e-03 0.03029738 -0.047257657
#> 401 21 22 1.699981 1.775368 1.751268 3.155787e-03 0.04418817 -0.090997142
#> 402 21 22 1.775368 1.835269 1.799468 -4.154517e-03 0.04931703 -0.115971691
#> 403 21 22 1.835269 1.892682 1.871069 -2.061756e-02 0.05453200 -0.137750315
#> 404 21 22 1.892682 1.933662 1.914296 -3.294221e-02 0.05613247 -0.146065924
#> 405 21 22 1.933662 1.972404 1.953028 -4.468753e-02 0.05655869 -0.159284455
#> 406 21 22 1.972404 2.008396 1.991781 -5.639093e-02 0.05613226 -0.161731245
#> 407 21 22 2.008396 2.041395 2.025010 -6.587204e-02 0.05525727 -0.169866047
#> 408 21 22 2.041395 2.076143 2.057780 -7.431280e-02 0.05414700 -0.173262165
#> 409 21 22 2.076143 2.117286 2.094506 -8.228798e-02 0.05288500 -0.176145355
#> 410 21 22 2.117286 2.163326 2.140066 -8.945669e-02 0.05166312 -0.184068473
#> 411 21 22 2.163326 2.205605 2.186586 -9.320139e-02 0.05101792 -0.190610715
#> 412 21 22 2.205605 2.246900 2.224624 -9.345418e-02 0.05087730 -0.192993800
#> 413 21 22 2.246900 2.293677 2.269176 -9.070101e-02 0.05093139 -0.191422853
#> 414 21 22 2.293677 2.343877 2.318177 -8.446677e-02 0.05101693 -0.184196806
#> 415 21 22 2.343877 2.403865 2.369576 -7.540444e-02 0.05104603 -0.175390713
#> 416 21 22 2.403865 2.496138 2.438154 -6.151540e-02 0.05112978 -0.163871864
#> 417 21 22 2.496138 2.627070 2.554122 -3.928588e-02 0.05144815 -0.144731377
#> 418 21 22 2.627070 3.622562 2.700018 -1.855400e-02 0.05275749 -0.112426292
#> 419 22 23 1.062245 1.699981 1.648694 7.785473e-03 0.02959043 -0.047258139
#> 420 22 23 1.699981 1.775368 1.751268 1.515347e-03 0.04333158 -0.090999575
#> 421 22 23 1.775368 1.835269 1.799468 -6.089428e-03 0.04858352 -0.115971693
#> 422 22 23 1.835269 1.892682 1.871069 -2.291588e-02 0.05418263 -0.137750604
#> 423 22 23 1.892682 1.933662 1.914296 -3.540386e-02 0.05604251 -0.150048053
#> 424 22 23 1.933662 1.972404 1.953028 -4.725815e-02 0.05665217 -0.159305938
#> 425 22 23 1.972404 2.008396 1.991781 -5.903793e-02 0.05632445 -0.166605584
#> 426 22 23 2.008396 2.041395 2.025010 -6.856191e-02 0.05545329 -0.170989644
#> 427 22 23 2.041395 2.076143 2.057780 -7.702804e-02 0.05427729 -0.176152172
#> 428 22 23 2.076143 2.117286 2.094506 -8.501609e-02 0.05288148 -0.180384208
#> 429 22 23 2.117286 2.163326 2.140066 -9.218504e-02 0.05146501 -0.184218594
#> 430 22 23 2.163326 2.205605 2.186586 -9.592042e-02 0.05067247 -0.190720251
#> 431 22 23 2.205605 2.246900 2.224624 -9.616384e-02 0.05049503 -0.193182149
#> 432 22 23 2.246900 2.293677 2.269176 -9.340226e-02 0.05061477 -0.191760501
#> 433 22 23 2.293677 2.343877 2.318177 -8.716525e-02 0.05088444 -0.184798189
#> 434 22 23 2.343877 2.403865 2.369576 -7.810827e-02 0.05117920 -0.175390713
#> 435 22 23 2.403865 2.496138 2.438154 -6.423710e-02 0.05162214 -0.164878538
#> 436 22 23 2.496138 2.627070 2.554122 -4.205743e-02 0.05223016 -0.145566939
#> 437 22 23 2.627070 3.622562 2.700018 -2.143065e-02 0.05304666 -0.121190383
#> 438 23 24 1.062245 1.699981 1.648694 7.266098e-03 0.02910898 -0.045748963
#> 439 23 24 1.699981 1.775368 1.751268 9.312121e-04 0.04212052 -0.078319941
#> 440 23 24 1.775368 1.835269 1.799468 -6.601456e-03 0.04681919 -0.108115134
#> 441 23 24 1.835269 1.892682 1.871069 -2.319125e-02 0.05142430 -0.137750604
#> 442 23 24 1.892682 1.933662 1.914296 -3.547877e-02 0.05269321 -0.146066678
#> 443 23 24 1.933662 1.972404 1.953028 -4.713374e-02 0.05286387 -0.158214145
#> 444 23 24 1.972404 2.008396 1.991781 -5.870955e-02 0.05224165 -0.161731245
#> 445 23 24 2.008396 2.041395 2.025010 -6.806423e-02 0.05126503 -0.169866047
#> 446 23 24 2.041395 2.076143 2.057780 -7.637459e-02 0.05013022 -0.173262165
#> 447 23 24 2.076143 2.117286 2.094506 -8.420594e-02 0.04894222 -0.176145355
#> 448 23 24 2.117286 2.163326 2.140066 -9.121030e-02 0.04795740 -0.184069845
#> 449 23 24 2.163326 2.205605 2.186586 -9.481184e-02 0.04767397 -0.189575542
#> 450 23 24 2.205605 2.246900 2.224624 -9.496942e-02 0.04786333 -0.184813729
#> 451 23 24 2.246900 2.293677 2.269176 -9.213077e-02 0.04828362 -0.185548035
#> 452 23 24 2.293677 2.343877 2.318177 -8.583366e-02 0.04870029 -0.180714532
#> 453 23 24 2.343877 2.403865 2.369576 -7.673638e-02 0.04897179 -0.174485339
#> 454 23 24 2.403865 2.496138 2.438154 -6.283993e-02 0.04919209 -0.163651833
#> 455 23 24 2.496138 2.627070 2.554122 -4.067020e-02 0.04915784 -0.144731377
#> 456 23 24 2.627070 3.622562 2.700018 -2.010851e-02 0.04910011 -0.112346082
#> 457 24 25 1.062245 1.699981 1.648694 6.660874e-03 0.02909314 -0.045748963
#> 458 24 25 1.699981 1.775368 1.751268 2.266513e-05 0.04212602 -0.078319941
#> 459 24 25 1.775368 1.835269 1.799468 -7.582780e-03 0.04685127 -0.108115134
#> 460 24 25 1.835269 1.892682 1.871069 -2.415384e-02 0.05146122 -0.137750604
#> 461 24 25 1.892682 1.933662 1.914296 -3.636119e-02 0.05267586 -0.146066678
#> 462 24 25 1.933662 1.972404 1.953028 -4.791395e-02 0.05274737 -0.158214145
#> 463 24 25 1.972404 2.008396 1.991781 -5.937340e-02 0.05198101 -0.161731245
#> 464 24 25 2.008396 2.041395 2.025010 -6.862790e-02 0.05085597 -0.169866047
#> 465 24 25 2.041395 2.076143 2.057780 -7.684694e-02 0.04956802 -0.173262165
#> 466 24 25 2.076143 2.117286 2.094506 -8.459112e-02 0.04822289 -0.176145355
#> 467 24 25 2.117286 2.163326 2.140066 -9.151503e-02 0.04709878 -0.184069845
#> 468 24 25 2.163326 2.205605 2.186586 -9.506685e-02 0.04675835 -0.189575542
#> 469 24 25 2.205605 2.246900 2.224624 -9.520560e-02 0.04695663 -0.184813729
#> 470 24 25 2.246900 2.293677 2.269176 -9.236562e-02 0.04742061 -0.187407334
#> 471 24 25 2.293677 2.343877 2.318177 -8.608792e-02 0.04788576 -0.184798189
#> 472 24 25 2.343877 2.403865 2.369576 -7.703015e-02 0.04817642 -0.175390713
#> 473 24 25 2.403865 2.496138 2.438154 -6.321198e-02 0.04836117 -0.164878538
#> 474 24 25 2.496138 2.627070 2.554122 -4.122064e-02 0.04818480 -0.144776091
#> 475 24 25 2.627070 3.622562 2.700018 -2.087812e-02 0.04799745 -0.117698249
#> 476 25 26 1.062245 1.699981 1.648694 6.102840e-03 0.02950960 -0.047258139
#> 477 25 26 1.699981 1.775368 1.751268 -8.184577e-04 0.04305668 -0.078478613
#> 478 25 26 1.775368 1.835269 1.799468 -8.494993e-03 0.04788151 -0.108044924
#> 479 25 26 1.835269 1.892682 1.871069 -2.507263e-02 0.05229689 -0.128656421
#> 480 25 26 1.892682 1.933662 1.914296 -3.724168e-02 0.05321877 -0.139284967
#> 481 25 26 1.933662 1.972404 1.953028 -4.875174e-02 0.05295561 -0.158214947
#> 482 25 26 1.972404 2.008396 1.991781 -6.017615e-02 0.05180385 -0.161732534
#> 483 25 26 2.008396 2.041395 2.025010 -6.941597e-02 0.05030748 -0.169867911
#> 484 25 26 2.041395 2.076143 2.057780 -7.763918e-02 0.04861269 -0.173363216
#> 485 25 26 2.076143 2.117286 2.094506 -8.541139e-02 0.04677146 -0.176145355
#> 486 25 26 2.117286 2.163326 2.140066 -9.240041e-02 0.04502644 -0.183713271
#> 487 25 26 2.163326 2.205605 2.186586 -9.604280e-02 0.04415474 -0.183871379
#> 488 25 26 2.205605 2.246900 2.224624 -9.626424e-02 0.04406921 -0.184459639
#> 489 25 26 2.246900 2.293677 2.269176 -9.352132e-02 0.04440696 -0.185436945
#> 490 25 26 2.293677 2.343877 2.318177 -8.734208e-02 0.04497485 -0.180742718
#> 491 25 26 2.343877 2.403865 2.369576 -7.837320e-02 0.04558918 -0.175390713
#> 492 25 26 2.403865 2.496138 2.438154 -6.465231e-02 0.04640417 -0.164878538
#> 493 25 26 2.496138 2.627070 2.554122 -4.281146e-02 0.04722259 -0.144776091
#> 494 25 26 2.627070 3.622562 2.700018 -2.272572e-02 0.04747271 -0.117715297
#> 495 26 27 1.062245 1.699981 1.648694 5.877574e-03 0.02867473 -0.047258139
#> 496 26 27 1.699981 1.775368 1.751268 -1.023194e-03 0.04187991 -0.076719557
#> 497 26 27 1.775368 1.835269 1.799468 -8.607950e-03 0.04657632 -0.099264589
#> 498 26 27 1.835269 1.892682 1.871069 -2.492288e-02 0.05089002 -0.125912713
#> 499 26 27 1.892682 1.933662 1.914296 -3.686378e-02 0.05185036 -0.134678851
#> 500 26 27 1.933662 1.972404 1.953028 -4.813642e-02 0.05171773 -0.142862216
#> 501 26 27 1.972404 2.008396 1.991781 -5.930632e-02 0.05079843 -0.152119496
#> 502 26 27 2.008396 2.041395 2.025010 -6.832668e-02 0.04957397 -0.159338520
#> 503 26 27 2.041395 2.076143 2.057780 -7.634294e-02 0.04818892 -0.166989664
#> 504 26 27 2.076143 2.117286 2.094506 -8.390517e-02 0.04669896 -0.170002356
#> 505 26 27 2.117286 2.163326 2.140066 -9.067887e-02 0.04531104 -0.174070691
#> 506 26 27 2.163326 2.205605 2.186586 -9.416101e-02 0.04463593 -0.173592564
#> 507 26 27 2.205605 2.246900 2.224624 -9.429559e-02 0.04457697 -0.173238478
#> 508 26 27 2.246900 2.293677 2.269176 -9.149435e-02 0.04483885 -0.172058375
#> 509 26 27 2.293677 2.343877 2.318177 -8.529096e-02 0.04527249 -0.173116276
#> 510 26 27 2.343877 2.403865 2.369576 -7.632234e-02 0.04576901 -0.169421336
#> 511 26 27 2.403865 2.496138 2.438154 -6.261053e-02 0.04653263 -0.162433205
#> 512 26 27 2.496138 2.627070 2.554122 -4.073613e-02 0.04756070 -0.137845597
#> 513 26 27 2.627070 3.622562 2.700018 -2.049635e-02 0.04858649 -0.114038739
#> 514 27 28 1.062245 1.699981 1.648694 5.903596e-03 0.02869072 -0.047258139
#> 515 27 28 1.699981 1.775368 1.751268 -9.290913e-04 0.04196555 -0.080830172
#> 516 27 28 1.775368 1.835269 1.799468 -8.452696e-03 0.04673016 -0.112060133
#> 517 27 28 1.835269 1.892682 1.871069 -2.463169e-02 0.05118615 -0.128656421
#> 518 27 28 1.892682 1.933662 1.914296 -3.646412e-02 0.05224220 -0.139284967
#> 519 27 28 1.933662 1.972404 1.953028 -4.762550e-02 0.05218768 -0.158214947
#> 520 27 28 1.972404 2.008396 1.991781 -5.867515e-02 0.05132624 -0.160031261
#> 521 27 28 2.008396 2.041395 2.025010 -6.758952e-02 0.05012438 -0.163150808
#> 522 27 28 2.041395 2.076143 2.057780 -7.550281e-02 0.04872704 -0.168369344
#> 523 27 28 2.076143 2.117286 2.094506 -8.295638e-02 0.04717140 -0.174500290
#> 524 27 28 2.117286 2.163326 2.140066 -8.961244e-02 0.04561545 -0.174271320
#> 525 27 28 2.163326 2.205605 2.186586 -9.300104e-02 0.04467725 -0.173592564
#> 526 27 28 2.205605 2.246900 2.224624 -9.308179e-02 0.04435616 -0.171311521
#> 527 27 28 2.246900 2.293677 2.269176 -9.024314e-02 0.04428951 -0.171836856
#> 528 27 28 2.293677 2.343877 2.318177 -8.402620e-02 0.04437106 -0.168867483
#> 529 27 28 2.343877 2.403865 2.369576 -7.506565e-02 0.04454382 -0.159744848
#> 530 27 28 2.403865 2.496138 2.438154 -6.138174e-02 0.04499823 -0.150565960
#> 531 27 28 2.496138 2.627070 2.554122 -3.954998e-02 0.04586602 -0.115017384
#> 532 27 28 2.627070 3.622562 2.700018 -1.932439e-02 0.04707829 -0.104349748
#> 533 28 29 1.062245 1.699981 1.648694 6.181583e-03 0.02873526 -0.047258139
#> 534 28 29 1.699981 1.775368 1.751268 -3.936585e-04 0.04197383 -0.076508504
#> 535 28 29 1.775368 1.835269 1.799468 -7.765743e-03 0.04666742 -0.099004202
#> 536 28 29 1.835269 1.892682 1.871069 -2.369667e-02 0.05094352 -0.115678333
#> 537 28 29 1.892682 1.933662 1.914296 -3.537207e-02 0.05187065 -0.134678851
#> 538 28 29 1.933662 1.972404 1.953028 -4.638999e-02 0.05171385 -0.140206620
#> 539 28 29 1.972404 2.008396 1.991781 -5.729294e-02 0.05078573 -0.152119646
#> 540 28 29 2.008396 2.041395 2.025010 -6.607758e-02 0.04957061 -0.159338520
#> 541 28 29 2.041395 2.076143 2.057780 -7.385782e-02 0.04820993 -0.166989664
#> 542 28 29 2.076143 2.117286 2.094506 -8.115483e-02 0.04675940 -0.170002356
#> 543 28 29 2.117286 2.163326 2.140066 -8.760558e-02 0.04541995 -0.174049063
#> 544 28 29 2.163326 2.205605 2.186586 -9.077600e-02 0.04476290 -0.173592564
#> 545 28 29 2.205605 2.246900 2.224624 -9.067867e-02 0.04467076 -0.171311521
#> 546 28 29 2.246900 2.293677 2.269176 -8.764247e-02 0.04481669 -0.171836856
#> 547 28 29 2.293677 2.343877 2.318177 -8.123688e-02 0.04501605 -0.168867483
#> 548 28 29 2.343877 2.403865 2.369576 -7.212719e-02 0.04517026 -0.159741305
#> 549 28 29 2.403865 2.496138 2.438154 -5.834335e-02 0.04544946 -0.150565960
#> 550 28 29 2.496138 2.627070 2.554122 -3.662630e-02 0.04604697 -0.115017384
#> 551 28 29 2.627070 3.622562 2.700018 -1.693793e-02 0.04725857 -0.104349748
#> 552 29 30 1.062245 1.699981 1.648694 5.844573e-03 0.03013912 -0.050467233
#> 553 29 30 1.699981 1.775368 1.751268 -1.069047e-03 0.04415427 -0.088956679
#> 554 29 30 1.775368 1.835269 1.799468 -8.608247e-03 0.04909346 -0.103028360
#> 555 29 30 1.835269 1.892682 1.871069 -2.475128e-02 0.05349933 -0.126150412
#> 556 29 30 1.892682 1.933662 1.914296 -3.652211e-02 0.05439377 -0.139284967
#> 557 29 30 1.933662 1.972404 1.953028 -4.760440e-02 0.05418600 -0.158214947
#> 558 29 30 1.972404 2.008396 1.991781 -5.855620e-02 0.05323578 -0.160037112
#> 559 29 30 2.008396 2.041395 2.025010 -6.737547e-02 0.05205646 -0.163150808
#> 560 29 30 2.041395 2.076143 2.057780 -7.518821e-02 0.05079525 -0.168369344
#> 561 29 30 2.076143 2.117286 2.094506 -8.252490e-02 0.04952694 -0.174500290
#> 562 29 30 2.117286 2.163326 2.140066 -8.903588e-02 0.04847079 -0.175036166
#> 563 29 30 2.163326 2.205605 2.186586 -9.228364e-02 0.04808268 -0.176612147
#> 564 29 30 2.205605 2.246900 2.224624 -9.226004e-02 0.04814219 -0.173326977
#> 565 29 30 2.246900 2.293677 2.269176 -8.931685e-02 0.04836491 -0.172058375
#> 566 29 30 2.293677 2.343877 2.318177 -8.301234e-02 0.04853225 -0.173116276
#> 567 29 30 2.343877 2.403865 2.369576 -7.399541e-02 0.04855078 -0.169153853
#> 568 29 30 2.403865 2.496138 2.438154 -6.029859e-02 0.04855294 -0.152284515
#> 569 29 30 2.496138 2.627070 2.554122 -3.862365e-02 0.04873138 -0.137807569
#> 570 29 30 2.627070 3.622562 2.700018 -1.887970e-02 0.04978412 -0.110547440
#> 571 30 31 1.062245 1.699981 1.648694 7.276675e-03 0.02979671 -0.047293077
#> 572 30 31 1.699981 1.775368 1.751268 1.675156e-03 0.04348982 -0.076508504
#> 573 30 31 1.775368 1.835269 1.799468 -5.189598e-03 0.04836447 -0.099004202
#> 574 30 31 1.835269 1.892682 1.871069 -2.042839e-02 0.05292093 -0.115678333
#> 575 30 31 1.892682 1.933662 1.914296 -3.177876e-02 0.05409599 -0.128496113
#> 576 30 31 1.933662 1.972404 1.953028 -4.259475e-02 0.05427535 -0.138889798
#> 577 30 31 1.972404 2.008396 1.991781 -5.339462e-02 0.05383128 -0.150236348
#> 578 30 31 2.008396 2.041395 2.025010 -6.217372e-02 0.05315272 -0.165690210
#> 579 30 31 2.041395 2.076143 2.057780 -7.002100e-02 0.05240208 -0.173415716
#> 580 30 31 2.076143 2.117286 2.094506 -7.746941e-02 0.05166057 -0.176343158
#> 581 30 31 2.117286 2.163326 2.140066 -8.419580e-02 0.05109619 -0.183766068
#> 582 30 31 2.163326 2.205605 2.186586 -8.770983e-02 0.05097712 -0.176973651
#> 583 30 31 2.205605 2.246900 2.224624 -8.791036e-02 0.05111133 -0.173713098
#> 584 30 31 2.246900 2.293677 2.269176 -8.521315e-02 0.05132520 -0.172295145
#> 585 30 31 2.293677 2.343877 2.318177 -7.914181e-02 0.05142860 -0.173132472
#> 586 30 31 2.343877 2.403865 2.369576 -7.032258e-02 0.05134551 -0.164843848
#> 587 30 31 2.403865 2.496138 2.438154 -5.682946e-02 0.05116665 -0.154436638
#> 588 30 31 2.496138 2.627070 2.554122 -3.542908e-02 0.05117795 -0.144769208
#> 589 30 31 2.627070 3.622562 2.700018 -1.601768e-02 0.05282813 -0.120431907
#> 590 31 32 1.062245 1.699981 1.648694 7.248531e-03 0.02974494 -0.047293077
#> 591 31 32 1.699981 1.775368 1.751268 1.741716e-03 0.04328087 -0.077480587
#> 592 31 32 1.775368 1.835269 1.799468 -5.027490e-03 0.04804683 -0.100956370
#> 593 31 32 1.835269 1.892682 1.871069 -2.007806e-02 0.05246604 -0.115800683
#> 594 31 32 1.892682 1.933662 1.914296 -3.131116e-02 0.05361069 -0.128689894
#> 595 31 32 1.933662 1.972404 1.953028 -4.203934e-02 0.05380882 -0.139098826
#> 596 31 32 1.972404 2.008396 1.991781 -5.278294e-02 0.05342242 -0.150215468
#> 597 31 32 2.008396 2.041395 2.025010 -6.154840e-02 0.05281438 -0.165690210
#> 598 31 32 2.041395 2.076143 2.057780 -6.941915e-02 0.05214338 -0.173415716
#> 599 31 32 2.076143 2.117286 2.094506 -7.694048e-02 0.05149809 -0.176139603
#> 600 31 32 2.117286 2.163326 2.140066 -8.382488e-02 0.05107005 -0.183662704
#> 601 31 32 2.163326 2.205605 2.186586 -8.756918e-02 0.05113272 -0.178208224
#> 602 31 32 2.205605 2.246900 2.224624 -8.799941e-02 0.05146264 -0.182057143
#> 603 31 32 2.246900 2.293677 2.269176 -8.560420e-02 0.05195860 -0.187059960
#> 604 31 32 2.293677 2.343877 2.318177 -7.988670e-02 0.05240862 -0.175823247
#> 605 31 32 2.343877 2.403865 2.369576 -7.144103e-02 0.05267417 -0.175390713
#> 606 31 32 2.403865 2.496138 2.438154 -5.842030e-02 0.05285207 -0.164072214
#> 607 31 32 2.496138 2.627070 2.554122 -3.771994e-02 0.05317383 -0.153004713
#> 608 31 32 2.627070 3.622562 2.700018 -1.907665e-02 0.05489908 -0.136849330
#> 609 32 33 1.062245 1.699981 1.648694 6.110035e-03 0.02929191 -0.047293077
#> 610 32 33 1.699981 1.775368 1.751268 1.178658e-04 0.04271589 -0.079691733
#> 611 32 33 1.775368 1.835269 1.799468 -6.806197e-03 0.04746839 -0.100956370
#> 612 32 33 1.835269 1.892682 1.871069 -2.199094e-02 0.05192607 -0.125092971
#> 613 32 33 1.892682 1.933662 1.914296 -3.326868e-02 0.05312610 -0.139934850
#> 614 32 33 1.933662 1.972404 1.953028 -4.403209e-02 0.05338302 -0.148197785
#> 615 32 33 1.972404 2.008396 1.991781 -5.482121e-02 0.05304475 -0.150855943
#> 616 32 33 2.008396 2.041395 2.025010 -6.364301e-02 0.05245111 -0.167608625
#> 617 32 33 2.041395 2.076143 2.057780 -7.159024e-02 0.05175642 -0.173805083
#> 618 32 33 2.076143 2.117286 2.094506 -7.922449e-02 0.05103515 -0.177284723
#> 619 32 33 2.117286 2.163326 2.140066 -8.628683e-02 0.05046279 -0.183724579
#> 620 32 33 2.163326 2.205605 2.186586 -9.024606e-02 0.05038587 -0.186671117
#> 621 32 33 2.205605 2.246900 2.224624 -9.086577e-02 0.05066265 -0.183420589
#> 622 32 33 2.246900 2.293677 2.269176 -8.869380e-02 0.05120404 -0.190500310
#> 623 32 33 2.293677 2.343877 2.318177 -8.320648e-02 0.05183667 -0.190004123
#> 624 32 33 2.343877 2.403865 2.369576 -7.496842e-02 0.05239138 -0.179242978
#> 625 32 33 2.403865 2.496138 2.438154 -6.215337e-02 0.05296860 -0.164248280
#> 626 32 33 2.496138 2.627070 2.554122 -4.161683e-02 0.05358324 -0.153004713
#> 627 32 33 2.627070 3.622562 2.700018 -2.298962e-02 0.05476673 -0.139189672
#> 628 33 34 1.062245 1.699981 1.648694 5.616507e-03 0.02973345 -0.050808423
#> 629 33 34 1.699981 1.775368 1.751268 -9.893076e-04 0.04351807 -0.089001285
#> 630 33 34 1.775368 1.835269 1.799468 -8.279014e-03 0.04830140 -0.103028360
#> 631 33 34 1.835269 1.892682 1.871069 -2.403892e-02 0.05244797 -0.130922067
#> 632 33 34 1.892682 1.933662 1.914296 -3.565584e-02 0.05324340 -0.142512615
#> 633 33 34 1.933662 1.972404 1.953028 -4.670789e-02 0.05304391 -0.151938477
#> 634 33 34 1.972404 2.008396 1.991781 -5.777049e-02 0.05221640 -0.161904965
#> 635 33 34 2.008396 2.041395 2.025010 -6.681797e-02 0.05121631 -0.168711629
#> 636 33 34 2.041395 2.076143 2.057780 -7.498511e-02 0.05015535 -0.174629103
#> 637 33 34 2.076143 2.117286 2.094506 -8.287016e-02 0.04907603 -0.179919330
#> 638 33 34 2.117286 2.163326 2.140066 -9.026120e-02 0.04814239 -0.183724579
#> 639 33 34 2.163326 2.205605 2.186586 -9.458479e-02 0.04780908 -0.186671117
#> 640 33 34 2.205605 2.246900 2.224624 -9.552385e-02 0.04799557 -0.183435737
#> 641 33 34 2.246900 2.293677 2.269176 -9.374191e-02 0.04862184 -0.192359568
#> 642 33 34 2.293677 2.343877 2.318177 -8.868458e-02 0.04963116 -0.197139065
#> 643 33 34 2.343877 2.403865 2.369576 -8.087208e-02 0.05088030 -0.194809700
#> 644 33 34 2.403865 2.496138 2.438154 -6.854627e-02 0.05264597 -0.191368769
#> 645 33 34 2.496138 2.627070 2.554122 -4.861319e-02 0.05498161 -0.160372188
#> 646 33 34 2.627070 3.622562 2.700018 -3.054488e-02 0.05701353 -0.149863705
#> 647 34 35 1.062245 1.699981 1.648694 4.042787e-03 0.03811650 -0.052219721
#> 648 34 35 1.699981 1.775368 1.751268 -3.183381e-03 0.05563359 -0.101244769
#> 649 34 35 1.775368 1.835269 1.799468 -1.062877e-02 0.06175458 -0.116575678
#> 650 34 35 1.835269 1.892682 1.871069 -2.642328e-02 0.06739208 -0.138582178
#> 651 34 35 1.892682 1.933662 1.914296 -3.797041e-02 0.06893054 -0.150578864
#> 652 34 35 1.933662 1.972404 1.953028 -4.893201e-02 0.06940122 -0.159663398
#> 653 34 35 1.972404 2.008396 1.991781 -5.990643e-02 0.06931530 -0.166660764
#> 654 34 35 2.008396 2.041395 2.025010 -6.890082e-02 0.06903366 -0.170820910
#> 655 34 35 2.041395 2.076143 2.057780 -7.705039e-02 0.06875217 -0.174629103
#> 656 34 35 2.076143 2.117286 2.094506 -8.496718e-02 0.06859471 -0.184791153
#> 657 34 35 2.117286 2.163326 2.140066 -9.247687e-02 0.06877619 -0.186419402
#> 658 34 35 2.163326 2.205605 2.186586 -9.699916e-02 0.06940240 -0.193983985
#> 659 34 35 2.205605 2.246900 2.224624 -9.813879e-02 0.07014710 -0.197034502
#> 660 34 35 2.246900 2.293677 2.269176 -9.660730e-02 0.07111465 -0.196234429
#> 661 34 35 2.293677 2.343877 2.318177 -9.181197e-02 0.07210842 -0.197841843
#> 662 34 35 2.343877 2.403865 2.369576 -8.423037e-02 0.07296072 -0.194918606
#> 663 34 35 2.403865 2.496138 2.438154 -7.212029e-02 0.07380590 -0.199942813
#> 664 34 35 2.496138 2.627070 2.554122 -5.233812e-02 0.07456076 -0.169678179
#> 665 34 35 2.627070 3.622562 2.700018 -3.424938e-02 0.07538691 -0.162639241
#> 666 35 36 1.062245 1.699981 1.648694 6.293761e-03 0.03080285 -0.050790224
#> 667 35 36 1.699981 1.775368 1.751268 3.931440e-04 0.04557728 -0.086149687
#> 668 35 36 1.775368 1.835269 1.799468 -6.472502e-03 0.05106547 -0.101287042
#> 669 35 36 1.835269 1.892682 1.871069 -2.155304e-02 0.05665600 -0.130922067
#> 670 35 36 1.892682 1.933662 1.914296 -3.278414e-02 0.05857798 -0.142512615
#> 671 35 36 1.933662 1.972404 1.953028 -4.354993e-02 0.05954407 -0.151938477
#> 672 35 36 1.972404 2.008396 1.991781 -5.441795e-02 0.05999685 -0.164227981
#> 673 35 36 2.008396 2.041395 2.025010 -6.339415e-02 0.06013360 -0.170820910
#> 674 35 36 2.041395 2.076143 2.057780 -7.158956e-02 0.06015993 -0.173779829
#> 675 35 36 2.076143 2.117286 2.094506 -7.962527e-02 0.06016057 -0.180087587
#> 676 35 36 2.117286 2.163326 2.140066 -8.736037e-02 0.06020983 -0.195792028
#> 677 35 36 2.163326 2.205605 2.186586 -9.216612e-02 0.06035622 -0.205118300
#> 678 35 36 2.205605 2.246900 2.224624 -9.354864e-02 0.06054328 -0.210362568
#> 679 35 36 2.246900 2.293677 2.269176 -9.228585e-02 0.06081254 -0.213915219
#> 680 35 36 2.293677 2.343877 2.318177 -8.774221e-02 0.06114225 -0.214550359
#> 681 35 36 2.343877 2.403865 2.369576 -8.036326e-02 0.06153492 -0.205878826
#> 682 35 36 2.403865 2.496138 2.438154 -6.843458e-02 0.06218280 -0.199942813
#> 683 35 36 2.496138 2.627070 2.554122 -4.882118e-02 0.06322303 -0.169678179
#> 684 35 36 2.627070 3.622562 2.700018 -3.087053e-02 0.06443689 -0.162512097
#> 685 36 37 1.062245 1.699981 1.648694 5.420319e-03 0.03320348 -0.067485693
#> 686 36 37 1.699981 1.775368 1.751268 -1.693330e-03 0.05017517 -0.111497790
#> 687 36 37 1.775368 1.835269 1.799468 -9.452782e-03 0.05693219 -0.141973550
#> 688 36 37 1.835269 1.892682 1.871069 -2.631619e-02 0.06478678 -0.164576026
#> 689 36 37 1.892682 1.933662 1.914296 -3.887937e-02 0.06847101 -0.171474886
#> 690 36 37 1.933662 1.972404 1.953028 -5.097132e-02 0.07140717 -0.208729435
#> 691 36 37 1.972404 2.008396 1.991781 -6.325044e-02 0.07425376 -0.215442617
#> 692 36 37 2.008396 2.041395 2.025010 -7.346663e-02 0.07674418 -0.218955603
#> 693 36 37 2.041395 2.076143 2.057780 -8.287867e-02 0.07926629 -0.227150016
#> 694 36 37 2.076143 2.117286 2.094506 -9.223468e-02 0.08210661 -0.258260561
#> 695 36 37 2.117286 2.163326 2.140066 -1.014960e-01 0.08546589 -0.268854384
#> 696 36 37 2.163326 2.205605 2.186586 -1.076896e-01 0.08849190 -0.287543544
#> 697 36 37 2.205605 2.246900 2.224624 -1.100599e-01 0.09057396 -0.299535846
#> 698 36 37 2.246900 2.293677 2.269176 -1.097745e-01 0.09255528 -0.306628878
#> 699 36 37 2.293677 2.343877 2.318177 -1.060725e-01 0.09421749 -0.309633992
#> 700 36 37 2.343877 2.403865 2.369576 -9.929825e-02 0.09543831 -0.346561868
#> 701 36 37 2.403865 2.496138 2.438154 -8.769422e-02 0.09616048 -0.324612045
#> 702 36 37 2.496138 2.627070 2.554122 -6.727139e-02 0.09418926 -0.287511082
#> 703 36 37 2.627070 3.622562 2.700018 -4.636059e-02 0.09027960 -0.249838288
#> CIMax Effect
#> 1 0.1264312369
#> 2 0.1770875451
#> 3 0.1954302951
#> 4 0.1919565770
#> 5 0.1948299894
#> 6 0.1949972433
#> 7 0.1987683898
#> 8 0.1984985086
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#> 619 0.0053372134
#> 620 0.0030388247
#> 621 0.0023433501
#> 622 0.0075774422
#> 623 0.0068470607
#> 624 0.0140527810
#> 625 0.0266789809
#> 626 0.0429896753
#> 627 0.0724327229
#> 628 0.0679652275
#> 629 0.0813097641
#> 630 0.0777518246
#> 631 0.0629175701
#> 632 0.0539938804
#> 633 0.0452122840
#> 634 0.0316544440
#> 635 0.0175357869
#> 636 0.0086756836
#> 637 0.0034864746
#> 638 -0.0013908498 -
#> 639 -0.0060955663 -
#> 640 -0.0037492635 -
#> 641 0.0005298467
#> 642 0.0021779789
#> 643 0.0080847165
#> 644 0.0245118118
#> 645 0.0412951382
#> 646 0.0601876611
#> 647 0.0679652275
#> 648 0.0813097572
#> 649 0.0777517996
#> 650 0.0717790407
#> 651 0.0578746508
#> 652 0.0478597468
#> 653 0.0328779203
#> 654 0.0175357869
#> 655 0.0091039817
#> 656 0.0083595110
#> 657 0.0019917941
#> 658 0.0029310338
#> 659 0.0023358262
#> 660 0.0031528751
#> 661 0.0064847729
#> 662 0.0120146474
#> 663 0.0266789809
#> 664 0.0427766501
#> 665 0.0628821703
#> 666 0.0707404703
#> 667 0.0933203329
#> 668 0.1054765527
#> 669 0.0906944816
#> 670 0.0806753356
#> 671 0.0641913239
#> 672 0.0502357385
#> 673 0.0292227878
#> 674 0.0150523316
#> 675 0.0144418548
#> 676 0.0167601651
#> 677 0.0237827342
#> 678 0.0283284885
#> 679 0.0282143065
#> 680 0.0375875171
#> 681 0.0478009340
#> 682 0.0550048537
#> 683 0.0684412749
#> 684 0.1101750875
#> 685 0.0707404703
#> 686 0.0933203329
#> 687 0.1054765527
#> 688 0.0906944816
#> 689 0.0806753356
#> 690 0.0733999653
#> 691 0.0581579914
#> 692 0.0563889800
#> 693 0.0492105730
#> 694 0.0423038068
#> 695 0.0358031227
#> 696 0.0315267498
#> 697 0.0312670461
#> 698 0.0373164502
#> 699 0.0430501262
#> 700 0.0489506346
#> 701 0.0584916689
#> 702 0.0745032221
#> 703 0.1101750875
#>
#> $matfit
#> [,1] [,2] [,3] [,4] [,5]
#> 1.64869392029419 0.02412307 0.02872700 0.02999097 0.03075569 0.03156317
#> 1.75126810787332 0.03559290 0.04365589 0.04598885 0.04703621 0.04867841
#> 1.79946777896389 0.03926745 0.04901434 0.05193583 0.05302602 0.05514665
#> 1.87106930768594 0.04187020 0.05390946 0.05776211 0.05875379 0.06161767
#> 1.91429554166968 0.04181490 0.05504352 0.05947774 0.06030530 0.06360543
#> 1.95302761682418 0.04085366 0.05500586 0.05996703 0.06058242 0.06425116
#> 1.99178060312141 0.03918274 0.05412615 0.05961346 0.05996297 0.06397384
#> 2.02501049762032 0.03734160 0.05286339 0.05879351 0.05888192 0.06316388
#> 2.05778004489866 0.03534291 0.05135084 0.05770101 0.05751259 0.06204265
#> 2.09450607114123 0.03317352 0.04963400 0.05642211 0.05591447 0.06070207
#> 2.14006616349627 0.03116064 0.04805780 0.05531734 0.05442346 0.05950373
#> 2.18658617913116 0.03065410 0.04786908 0.05550058 0.05424889 0.05959898
#> 2.22462355152433 0.03189313 0.04928534 0.05712542 0.05562193 0.06116915
#> 2.26917603086292 0.03551964 0.05304550 0.06101850 0.05927262 0.06501883
#> 2.31817718775388 0.04210756 0.05972205 0.06771826 0.06576651 0.07168378
#> 2.36957596181032 0.05126015 0.06895154 0.07687110 0.07475300 0.08078793
#> 2.43815433799455 0.06515629 0.08302431 0.09076155 0.08845029 0.09454104
#> 2.55412171880947 0.08717379 0.10584559 0.11325181 0.11051756 0.11650064
#> 2.70001802940495 0.10695732 0.12768823 0.13463834 0.13108328 0.13683355
#> [,6] [,7] [,8] [,9] [,10]
#> 1.64869392029419 0.03189547 0.03191006 0.03187632 0.03136920 0.02910287
#> 1.75126810787332 0.04938349 0.04937266 0.04931655 0.04825358 0.04311190
#> 1.79946777896389 0.05613265 0.05610741 0.05603930 0.05460160 0.04759811
#> 1.87106930768594 0.06317794 0.06315175 0.06306116 0.06091206 0.05055088
#> 1.91429554166968 0.06559919 0.06559811 0.06548933 0.06282152 0.05012156
#> 1.95302761682418 0.06667482 0.06671967 0.06659081 0.06340890 0.04845969
#> 1.99178060312141 0.06684913 0.06696418 0.06681158 0.06308088 0.04579844
#> 2.02501049762032 0.06642811 0.06662150 0.06644606 0.06222989 0.04294376
#> 2.05778004489866 0.06567862 0.06596251 0.06576302 0.06106724 0.03986585
#> 2.09450607114123 0.06472699 0.06512237 0.06489523 0.05967615 0.03647521
#> 2.14006616349627 0.06395377 0.06449153 0.06423101 0.05840675 0.03304893
#> 2.18658617913116 0.06440596 0.06508088 0.06478964 0.05842039 0.03132038
#> 2.22462355152433 0.06620895 0.06698269 0.06667008 0.05991989 0.03176069
#> 2.26917603086292 0.07026967 0.07114015 0.07080749 0.06368720 0.03467104
#> 2.31817718775388 0.07710303 0.07805654 0.07770801 0.07026856 0.04069213
#> 2.36957596181032 0.08633083 0.08734948 0.08699056 0.07929911 0.04942127
#> 2.43815433799455 0.10019688 0.10127704 0.10091225 0.09298046 0.06292091
#> 2.55412171880947 0.12229692 0.12343448 0.12307428 0.11486481 0.08460049
#> 2.70001802940495 0.14280201 0.14394581 0.14360558 0.13509429 0.10452071
#> [,11] [,12] [,13] [,14] [,15]
#> 1.64869392029419 0.01134135 0.01007792 0.006461242 0.00136579 0.001258851
#> 1.75126810787332 -0.02982666 -0.03220380 -0.038411926 -0.04727626 -0.047670429
#> 1.79946777896389 -0.07839959 -0.08142723 -0.088878339 -0.09951758 -0.100088443
#> 1.87106930768594 -0.19817932 -0.20223471 -0.211338752 -0.22426589 -0.225095678
#> 1.91429554166968 -0.29854838 -0.30319415 -0.313115480 -0.32713105 -0.328088535
#> 1.95302761682418 -0.40314320 -0.40825397 -0.418770293 -0.43355723 -0.434597978
#> 1.99178060312141 -0.51669403 -0.52218061 -0.533160163 -0.54853698 -0.549626638
#> 2.02501049762032 -0.61648243 -0.62220595 -0.633482797 -0.64923724 -0.650341250
#> 2.05778004489866 -0.71276875 -0.71864437 -0.730132736 -0.74616121 -0.747256934
#> 2.09450607114123 -0.81348281 -0.81943651 -0.831078698 -0.84731882 -0.848384179
#> 2.14006616349627 -0.92166488 -0.92759909 -0.939334080 -0.95572721 -0.956735519
#> 2.18658617913116 -1.00819112 -1.01400802 -1.025757259 -1.04221404 -1.043157786
#> 2.22462355152433 -1.06000477 -1.06568139 -1.077404094 -1.09386320 -1.094760124
#> 2.26917603086292 -1.10069064 -1.10618013 -1.117849778 -1.13427291 -1.135130456
#> 2.31817718775388 -1.12495688 -1.13023631 -1.141841887 -1.15819679 -1.159035502
#> 2.36957596181032 -1.13397803 -1.13904814 -1.150598700 -1.16687070 -1.167716638
#> 2.43815433799455 -1.13109589 -1.13591357 -1.147427730 -1.16360157 -1.164488264
#> 2.55412171880947 -1.11378411 -1.11825299 -1.129805300 -1.14590068 -1.146878069
#> 2.70001802940495 -1.09412716 -1.09833132 -1.110032257 -1.12615226 -1.127193752
#> [,16] [,17] [,18] [,19]
#> 1.64869392029419 0.015767083 0.014972558 0.014500999 0.012420848
#> 1.75126810787332 0.014753903 0.013419606 0.012729434 0.009579168
#> 1.79946777896389 0.009365242 0.007960967 0.007205300 0.003766013
#> 1.87106930768594 -0.005128897 -0.006123081 -0.006927394 -0.010358154
#> 1.91429554166968 -0.016925604 -0.017280639 -0.018104576 -0.021257888
#> 1.95302761682418 -0.028623984 -0.028142570 -0.028997425 -0.031752309
#> 1.99178060312141 -0.040622340 -0.039084367 -0.039999329 -0.042253576
#> 2.02501049762032 -0.050554831 -0.047979716 -0.048979371 -0.050759345
#> 2.05778004489866 -0.059544104 -0.055877768 -0.056995439 -0.058299084
#> 2.09450607114123 -0.068167074 -0.063261375 -0.064551111 -0.065343966
#> 2.14006616349627 -0.076062882 -0.069696456 -0.071245670 -0.071480003
#> 2.18658617913116 -0.080355374 -0.072687161 -0.074526333 -0.074305753
#> 2.22462355152433 -0.080877069 -0.072333337 -0.074403507 -0.073902365
#> 2.26917603086292 -0.078248497 -0.068908862 -0.071216925 -0.070481171
#> 2.31817718775388 -0.071976857 -0.062023280 -0.064530305 -0.063629051
#> 2.36957596181032 -0.062777682 -0.052412450 -0.055047223 -0.054043153
#> 2.43815433799455 -0.048712287 -0.038037211 -0.040723878 -0.039643597
#> 2.55412171880947 -0.026498721 -0.015573768 -0.018139702 -0.016976155
#> 2.70001802940495 -0.006267346 0.004811504 0.002535093 0.003819461
#> [,20] [,21] [,22] [,23]
#> 1.64869392029419 0.0104185517 0.009012642 0.008770280 0.007785473
#> 1.75126810787332 0.0060106449 0.003603025 0.003155787 0.001515347
#> 1.79946777896389 -0.0006796617 -0.003610148 -0.004154517 -0.006089428
#> 1.87106930768594 -0.0162189048 -0.019948237 -0.020617558 -0.022915879
#> 1.91429554166968 -0.0280015994 -0.032210019 -0.032942210 -0.035403857
#> 1.95302761682418 -0.0392775128 -0.043902728 -0.044687527 -0.047258155
#> 1.99178060312141 -0.0505285009 -0.055550409 -0.056390931 -0.059037930
#> 2.02501049762032 -0.0596355509 -0.064975244 -0.065872040 -0.068561908
#> 2.05778004489866 -0.0677193346 -0.073347569 -0.074312798 -0.077028037
#> 2.09450607114123 -0.0753072104 -0.081225691 -0.082287976 -0.085016089
#> 2.14006616349627 -0.0820120725 -0.088239293 -0.089456687 -0.092185036
#> 2.18658617913116 -0.0853008575 -0.091786677 -0.093201386 -0.095920415
#> 2.22462355152433 -0.0851954452 -0.091855240 -0.093454182 -0.096163843
#> 2.26917603086292 -0.0820441755 -0.088873045 -0.090701012 -0.093402261
#> 2.31817718775388 -0.0754086131 -0.082390820 -0.084466773 -0.087165245
#> 2.36957596181032 -0.0659804920 -0.073097263 -0.075404441 -0.078108268
#> 2.43815433799455 -0.0517130215 -0.058978022 -0.061515404 -0.064237102
#> 2.55412171880947 -0.0291476360 -0.036588994 -0.039285879 -0.042057427
#> 2.70001802940495 -0.0083858082 -0.015925316 -0.018554000 -0.021430652
#> [,24] [,25] [,26] [,27]
#> 1.64869392029419 0.0072660980 6.660874e-03 0.0061028397 0.005877574
#> 1.75126810787332 0.0009312121 2.266513e-05 -0.0008184577 -0.001023194
#> 1.79946777896389 -0.0066014556 -7.582780e-03 -0.0084949928 -0.008607950
#> 1.87106930768594 -0.0231912529 -2.415384e-02 -0.0250726303 -0.024922882
#> 1.91429554166968 -0.0354787682 -3.636119e-02 -0.0372416772 -0.036863777
#> 1.95302761682418 -0.0471337418 -4.791395e-02 -0.0487517408 -0.048136415
#> 1.99178060312141 -0.0587095481 -5.937340e-02 -0.0601761488 -0.059306319
#> 2.02501049762032 -0.0680642258 -6.862790e-02 -0.0694159683 -0.068326677
#> 2.05778004489866 -0.0763745941 -7.684694e-02 -0.0776391777 -0.076342940
#> 2.09450607114123 -0.0842059379 -8.459112e-02 -0.0854113852 -0.083905170
#> 2.14006616349627 -0.0912103033 -9.151503e-02 -0.0924004140 -0.090678866
#> 2.18658617913116 -0.0948118407 -9.506685e-02 -0.0960428047 -0.094161006
#> 2.22462355152433 -0.0949694228 -9.520560e-02 -0.0962642389 -0.094295586
#> 2.26917603086292 -0.0921307710 -9.236562e-02 -0.0935213171 -0.091494349
#> 2.31817718775388 -0.0858336648 -8.608792e-02 -0.0873420794 -0.085290961
#> 2.36957596181032 -0.0767363808 -7.703015e-02 -0.0783731965 -0.076322338
#> 2.43815433799455 -0.0628399314 -6.321198e-02 -0.0646523090 -0.062610534
#> 2.55412171880947 -0.0406701999 -4.122064e-02 -0.0428114574 -0.040736127
#> 2.70001802940495 -0.0201085116 -2.087812e-02 -0.0227257202 -0.020496355
#> [,28] [,29] [,30] [,31]
#> 1.64869392029419 0.0059035957 0.0061815830 0.005844573 0.007276675
#> 1.75126810787332 -0.0009290913 -0.0003936585 -0.001069047 0.001675156
#> 1.79946777896389 -0.0084526960 -0.0077657426 -0.008608247 -0.005189598
#> 1.87106930768594 -0.0246316878 -0.0236966746 -0.024751282 -0.020428387
#> 1.91429554166968 -0.0364641152 -0.0353720687 -0.036522113 -0.031778763
#> 1.95302761682418 -0.0476255048 -0.0463899944 -0.047604397 -0.042594753
#> 1.99178060312141 -0.0586751514 -0.0572929426 -0.058556202 -0.053394616
#> 2.02501049762032 -0.0675895175 -0.0660775776 -0.067375469 -0.062173720
#> 2.05778004489866 -0.0755028128 -0.0738578191 -0.075188207 -0.070020999
#> 2.09450607114123 -0.0829563798 -0.0811548269 -0.082524898 -0.077469409
#> 2.14006616349627 -0.0896124426 -0.0876055775 -0.089035879 -0.084195798
#> 2.18658617913116 -0.0930010354 -0.0907760039 -0.092283638 -0.087709832
#> 2.22462355152433 -0.0930817891 -0.0906786699 -0.092260036 -0.087910362
#> 2.26917603086292 -0.0902431368 -0.0876424692 -0.089316848 -0.085213153
#> 2.31817718775388 -0.0840261964 -0.0812368837 -0.083012337 -0.079141805
#> 2.36957596181032 -0.0750656488 -0.0721271914 -0.073995408 -0.070322578
#> 2.43815433799455 -0.0613817399 -0.0583433531 -0.060298594 -0.056829464
#> 2.55412171880947 -0.0395499820 -0.0366263013 -0.038623648 -0.035429075
#> 2.70001802940495 -0.0193243850 -0.0169379340 -0.018879701 -0.016017675
#> [,32] [,33] [,34] [,35]
#> 1.64869392029419 0.007248531 0.0061100352 0.0056165075 0.004042787
#> 1.75126810787332 0.001741716 0.0001178658 -0.0009893076 -0.003183381
#> 1.79946777896389 -0.005027490 -0.0068061969 -0.0082790145 -0.010628773
#> 1.87106930768594 -0.020078057 -0.0219909424 -0.0240389247 -0.026423278
#> 1.91429554166968 -0.031311160 -0.0332686778 -0.0356558398 -0.037970410
#> 1.95302761682418 -0.042039342 -0.0440320886 -0.0467078924 -0.048932005
#> 1.99178060312141 -0.052782939 -0.0548212095 -0.0577704861 -0.059906433
#> 2.02501049762032 -0.061548403 -0.0636430127 -0.0668179680 -0.068900825
#> 2.05778004489866 -0.069419147 -0.0715902386 -0.0749851083 -0.077050393
#> 2.09450607114123 -0.076940478 -0.0792244947 -0.0828701633 -0.084967181
#> 2.14006616349627 -0.083824885 -0.0862868297 -0.0902612026 -0.092476865
#> 2.18658617913116 -0.087569176 -0.0902460645 -0.0945847904 -0.096999156
#> 2.22462355152433 -0.087999412 -0.0908657709 -0.0955238515 -0.098138788
#> 2.26917603086292 -0.085604195 -0.0886937965 -0.0937419100 -0.096607304
#> 2.31817718775388 -0.079886700 -0.0832064764 -0.0886845772 -0.091811969
#> 2.36957596181032 -0.071441026 -0.0749684210 -0.0808720836 -0.084230366
#> 2.43815433799455 -0.058420305 -0.0621533715 -0.0685462655 -0.072120289
#> 2.55412171880947 -0.037719940 -0.0416168342 -0.0486131924 -0.052338120
#> 2.70001802940495 -0.019076646 -0.0229896248 -0.0305448832 -0.034249376
#> [,36] [,37]
#> 1.64869392029419 0.006293761 0.005420319
#> 1.75126810787332 0.000393144 -0.001693330
#> 1.79946777896389 -0.006472502 -0.009452782
#> 1.87106930768594 -0.021553037 -0.026316186
#> 1.91429554166968 -0.032784138 -0.038879367
#> 1.95302761682418 -0.043549928 -0.050971321
#> 1.99178060312141 -0.054417952 -0.063250440
#> 2.02501049762032 -0.063394146 -0.073466633
#> 2.05778004489866 -0.071589559 -0.082878667
#> 2.09450607114123 -0.079625268 -0.092234677
#> 2.14006616349627 -0.087360366 -0.101495960
#> 2.18658617913116 -0.092166122 -0.107689585
#> 2.22462355152433 -0.093548641 -0.110059859
#> 2.26917603086292 -0.092285847 -0.109774550
#> 2.31817718775388 -0.087742206 -0.106072501
#> 2.36957596181032 -0.080363265 -0.099298249
#> 2.43815433799455 -0.068434583 -0.087694224
#> 2.55412171880947 -0.048821175 -0.067271389
#> 2.70001802940495 -0.030870533 -0.046360595
#>
#> $cilower
#> [,1] [,2] [,3] [,4] [,5]
#> 1.64869392029419 -0.05759987 -0.029945121 -0.028815465 -0.026142515 -0.02384072
#> 1.75126810787332 -0.10138492 -0.044574570 -0.040273910 -0.039869828 -0.02820735
#> 1.79946777896389 -0.11400620 -0.051698778 -0.050488234 -0.039666073 -0.03142571
#> 1.87106930768594 -0.12055464 -0.070985955 -0.053102545 -0.053102545 -0.03252548
#> 1.91429554166968 -0.11992526 -0.075780867 -0.047168108 -0.047168135 -0.04171055
#> 1.95302761682418 -0.13303520 -0.072011974 -0.056743271 -0.056743342 -0.03853496
#> 1.99178060312141 -0.15000790 -0.070511951 -0.064675367 -0.064682354 -0.04226270
#> 2.02501049762032 -0.15598147 -0.075330114 -0.058115824 -0.058400838 -0.04764015
#> 2.05778004489866 -0.15390762 -0.079192362 -0.057298894 -0.063752909 -0.05117902
#> 2.09450607114123 -0.14291384 -0.091505320 -0.059514273 -0.072777205 -0.05380226
#> 2.14006616349627 -0.16370837 -0.083055093 -0.068410174 -0.081449880 -0.06171003
#> 2.18658617913116 -0.17081055 -0.085626808 -0.069523322 -0.079176497 -0.05916316
#> 2.22462355152433 -0.17114555 -0.079620847 -0.064649461 -0.079651550 -0.05351952
#> 2.26917603086292 -0.16630353 -0.080488032 -0.048669684 -0.086441872 -0.04389565
#> 2.31817718775388 -0.15071071 -0.079679252 -0.055523760 -0.079679252 -0.03117862
#> 2.36957596181032 -0.13665914 -0.076437564 -0.049668801 -0.076437564 -0.01781143
#> 2.43815433799455 -0.12992341 -0.053132080 -0.036717232 -0.053132080 -0.01437387
#> 2.55412171880947 -0.11613589 -0.025767870 -0.003674358 -0.014124040 0.00959631
#> 2.70001802940495 -0.09631822 -0.009846849 0.022609294 -0.003422141 0.01995476
#> [,6] [,7] [,8] [,9] [,10]
#> 1.64869392029419 -0.023840724 -0.023840724 -0.02384072 -0.02421006 -0.02994314
#> 1.75126810787332 -0.028207354 -0.028207354 -0.02820735 -0.03111346 -0.04581366
#> 1.79946777896389 -0.031425711 -0.031425711 -0.03141212 -0.03331814 -0.05939730
#> 1.87106930768594 -0.030497573 -0.030497573 -0.03049757 -0.04211398 -0.07994412
#> 1.91429554166968 -0.041710552 -0.031995230 -0.03199523 -0.04538668 -0.10728162
#> 1.95302761682418 -0.042515449 -0.036671521 -0.03667152 -0.04251545 -0.15446850
#> 1.99178060312141 -0.042262697 -0.038125716 -0.03812572 -0.04786443 -0.20495824
#> 2.02501049762032 -0.043175252 -0.038548850 -0.03854885 -0.05445267 -0.23668228
#> 2.05778004489866 -0.049284694 -0.039392834 -0.03939283 -0.06218225 -0.26165220
#> 2.09450607114123 -0.045046449 -0.043806830 -0.04380683 -0.07123979 -0.28719304
#> 2.14006616349627 -0.046488467 -0.040512179 -0.04051218 -0.06754160 -0.35058734
#> 2.18658617913116 -0.044214651 -0.042561025 -0.04383225 -0.06135090 -0.44664550
#> 2.22462355152433 -0.038698500 -0.038582329 -0.04331071 -0.06091206 -0.50610654
#> 2.26917603086292 -0.034460911 -0.034460911 -0.03797564 -0.05797328 -0.55363633
#> 2.31817718775388 -0.025249820 -0.025249820 -0.02979382 -0.05657235 -0.57527629
#> 2.36957596181032 -0.015057803 -0.015057803 -0.01612101 -0.04748874 -0.58002369
#> 2.43815433799455 -0.003101263 -0.003101263 -0.01415977 -0.03126922 -0.57195982
#> 2.55412171880947 0.012977852 0.010093906 0.01009391 -0.01350017 -0.53986014
#> 2.70001802940495 0.034131469 0.030748617 0.03074862 0.01722321 -0.50999311
#> [,11] [,12] [,13] [,14] [,15]
#> 1.64869392029419 -0.04562781 -0.04714742 -0.04753288 -0.05231994 -0.05219522
#> 1.75126810787332 -0.11471273 -0.11726440 -0.11860367 -0.12921897 -0.12921897
#> 1.79946777896389 -0.17270178 -0.17498744 -0.17847105 -0.19285064 -0.19285064
#> 1.87106930768594 -0.30919890 -0.31744509 -0.31948213 -0.34997821 -0.34997821
#> 1.91429554166968 -0.42171905 -0.42517572 -0.43258451 -0.46993067 -0.46999430
#> 1.95302761682418 -0.53974498 -0.53974498 -0.54431923 -0.58267702 -0.58267702
#> 1.99178060312141 -0.66101536 -0.66101536 -0.66746226 -0.72499007 -0.72499007
#> 2.02501049762032 -0.76936087 -0.76936087 -0.76990138 -0.83479780 -0.83673460
#> 2.05778004489866 -0.87049086 -0.87049086 -0.87226644 -0.93653812 -0.93791534
#> 2.09450607114123 -0.97171693 -0.97171693 -0.97589680 -1.03917626 -1.04011184
#> 2.14006616349627 -1.07856552 -1.07856552 -1.08201538 -1.14453332 -1.14584975
#> 2.18658617913116 -1.16439727 -1.16439727 -1.16834577 -1.22726710 -1.22722573
#> 2.22462355152433 -1.21822504 -1.21822504 -1.22246142 -1.27791041 -1.27460206
#> 2.26917603086292 -1.25896032 -1.25892526 -1.26145338 -1.31415529 -1.31107119
#> 2.31817718775388 -1.27964783 -1.27942046 -1.28161968 -1.33337918 -1.33187373
#> 2.36957596181032 -1.28864435 -1.28805095 -1.28864435 -1.34223688 -1.33361796
#> 2.43815433799455 -1.30010248 -1.28339537 -1.30007985 -1.33569004 -1.32232233
#> 2.55412171880947 -1.29458116 -1.26881627 -1.29116350 -1.30991821 -1.30991821
#> 2.70001802940495 -1.26795061 -1.26364863 -1.26628824 -1.30378627 -1.30378627
#> [,16] [,17] [,18] [,19] [,20]
#> 1.64869392029419 -0.03833071 -0.03835087 -0.03863703 -0.03863703 -0.04725766
#> 1.75126810787332 -0.07572723 -0.07851291 -0.07849986 -0.07849986 -0.09099714
#> 1.79946777896389 -0.09393876 -0.10382567 -0.10123013 -0.10123013 -0.11597169
#> 1.87106930768594 -0.12750394 -0.13447912 -0.13557351 -0.13557351 -0.13817601
#> 1.91429554166968 -0.14601613 -0.14807449 -0.14619491 -0.14619491 -0.15020664
#> 1.95302761682418 -0.15871521 -0.15871521 -0.16108876 -0.16430386 -0.15950018
#> 1.99178060312141 -0.17883817 -0.17489880 -0.17468559 -0.18123097 -0.16679466
#> 2.02501049762032 -0.19755377 -0.18466345 -0.18221297 -0.19160484 -0.17121958
#> 2.05778004489866 -0.21649759 -0.19712747 -0.18593963 -0.20040973 -0.17641935
#> 2.09450607114123 -0.23896172 -0.21015442 -0.19584126 -0.19956556 -0.18038421
#> 2.14006616349627 -0.26823282 -0.23120146 -0.19912987 -0.19900510 -0.18416508
#> 2.18658617913116 -0.29229873 -0.23700002 -0.19621396 -0.19568887 -0.19304699
#> 2.22462355152433 -0.30351676 -0.24159045 -0.19410788 -0.19720550 -0.19585566
#> 2.26917603086292 -0.31050850 -0.25023495 -0.19280418 -0.19631223 -0.19265451
#> 2.31817718775388 -0.31037517 -0.25365249 -0.18837131 -0.19001654 -0.18599557
#> 2.36957596181032 -0.30287906 -0.25155998 -0.18687583 -0.18544922 -0.17896857
#> 2.43815433799455 -0.28593019 -0.24242706 -0.18180222 -0.17792965 -0.17354041
#> 2.55412171880947 -0.25832851 -0.21981777 -0.15300763 -0.15205087 -0.14482209
#> 2.70001802940495 -0.24995820 -0.19602399 -0.14378187 -0.13696963 -0.11232094
#> [,21] [,22] [,23] [,24] [,25]
#> 1.64869392029419 -0.04725766 -0.04725766 -0.04725814 -0.04574896 -0.04574896
#> 1.75126810787332 -0.09099714 -0.09099714 -0.09099957 -0.07831994 -0.07831994
#> 1.79946777896389 -0.11597169 -0.11597169 -0.11597169 -0.10811513 -0.10811513
#> 1.87106930768594 -0.13775032 -0.13775032 -0.13775060 -0.13775060 -0.13775060
#> 1.91429554166968 -0.14606592 -0.14606592 -0.15004805 -0.14606668 -0.14606668
#> 1.95302761682418 -0.15928445 -0.15928445 -0.15930594 -0.15821415 -0.15821415
#> 1.99178060312141 -0.16173125 -0.16173125 -0.16660558 -0.16173125 -0.16173125
#> 2.02501049762032 -0.16986605 -0.16986605 -0.17098964 -0.16986605 -0.16986605
#> 2.05778004489866 -0.17326216 -0.17326216 -0.17615217 -0.17326216 -0.17326216
#> 2.09450607114123 -0.17614535 -0.17614535 -0.18038421 -0.17614535 -0.17614535
#> 2.14006616349627 -0.18406847 -0.18406847 -0.18421859 -0.18406985 -0.18406985
#> 2.18658617913116 -0.19061071 -0.19061071 -0.19072025 -0.18957554 -0.18957554
#> 2.22462355152433 -0.19299380 -0.19299380 -0.19318215 -0.18481373 -0.18481373
#> 2.26917603086292 -0.19142285 -0.19142285 -0.19176050 -0.18554804 -0.18740733
#> 2.31817718775388 -0.18419681 -0.18419681 -0.18479819 -0.18071453 -0.18479819
#> 2.36957596181032 -0.17539071 -0.17539071 -0.17539071 -0.17448534 -0.17539071
#> 2.43815433799455 -0.16387186 -0.16387186 -0.16487854 -0.16365183 -0.16487854
#> 2.55412171880947 -0.14473138 -0.14473138 -0.14556694 -0.14473138 -0.14477609
#> 2.70001802940495 -0.11242629 -0.11242629 -0.12119038 -0.11234608 -0.11769825
#> [,26] [,27] [,28] [,29] [,30]
#> 1.64869392029419 -0.04725814 -0.04725814 -0.04725814 -0.04725814 -0.05046723
#> 1.75126810787332 -0.07847861 -0.07671956 -0.08083017 -0.07650850 -0.08895668
#> 1.79946777896389 -0.10804492 -0.09926459 -0.11206013 -0.09900420 -0.10302836
#> 1.87106930768594 -0.12865642 -0.12591271 -0.12865642 -0.11567833 -0.12615041
#> 1.91429554166968 -0.13928497 -0.13467885 -0.13928497 -0.13467885 -0.13928497
#> 1.95302761682418 -0.15821495 -0.14286222 -0.15821495 -0.14020662 -0.15821495
#> 1.99178060312141 -0.16173253 -0.15211950 -0.16003126 -0.15211965 -0.16003711
#> 2.02501049762032 -0.16986791 -0.15933852 -0.16315081 -0.15933852 -0.16315081
#> 2.05778004489866 -0.17336322 -0.16698966 -0.16836934 -0.16698966 -0.16836934
#> 2.09450607114123 -0.17614535 -0.17000236 -0.17450029 -0.17000236 -0.17450029
#> 2.14006616349627 -0.18371327 -0.17407069 -0.17427132 -0.17404906 -0.17503617
#> 2.18658617913116 -0.18387138 -0.17359256 -0.17359256 -0.17359256 -0.17661215
#> 2.22462355152433 -0.18445964 -0.17323848 -0.17131152 -0.17131152 -0.17332698
#> 2.26917603086292 -0.18543694 -0.17205837 -0.17183686 -0.17183686 -0.17205837
#> 2.31817718775388 -0.18074272 -0.17311628 -0.16886748 -0.16886748 -0.17311628
#> 2.36957596181032 -0.17539071 -0.16942134 -0.15974485 -0.15974130 -0.16915385
#> 2.43815433799455 -0.16487854 -0.16243320 -0.15056596 -0.15056596 -0.15228451
#> 2.55412171880947 -0.14477609 -0.13784560 -0.11501738 -0.11501738 -0.13780757
#> 2.70001802940495 -0.11771530 -0.11403874 -0.10434975 -0.10434975 -0.11054744
#> [,31] [,32] [,33] [,34] [,35]
#> 1.64869392029419 -0.04729308 -0.04729308 -0.04729308 -0.05080842 -0.05221972
#> 1.75126810787332 -0.07650850 -0.07748059 -0.07969173 -0.08900129 -0.10124477
#> 1.79946777896389 -0.09900420 -0.10095637 -0.10095637 -0.10302836 -0.11657568
#> 1.87106930768594 -0.11567833 -0.11580068 -0.12509297 -0.13092207 -0.13858218
#> 1.91429554166968 -0.12849611 -0.12868989 -0.13993485 -0.14251262 -0.15057886
#> 1.95302761682418 -0.13888980 -0.13909883 -0.14819778 -0.15193848 -0.15966340
#> 1.99178060312141 -0.15023635 -0.15021547 -0.15085594 -0.16190496 -0.16666076
#> 2.02501049762032 -0.16569021 -0.16569021 -0.16760862 -0.16871163 -0.17082091
#> 2.05778004489866 -0.17341572 -0.17341572 -0.17380508 -0.17462910 -0.17462910
#> 2.09450607114123 -0.17634316 -0.17613960 -0.17728472 -0.17991933 -0.18479115
#> 2.14006616349627 -0.18376607 -0.18366270 -0.18372458 -0.18372458 -0.18641940
#> 2.18658617913116 -0.17697365 -0.17820822 -0.18667112 -0.18667112 -0.19398398
#> 2.22462355152433 -0.17371310 -0.18205714 -0.18342059 -0.18343574 -0.19703450
#> 2.26917603086292 -0.17229515 -0.18705996 -0.19050031 -0.19235957 -0.19623443
#> 2.31817718775388 -0.17313247 -0.17582325 -0.19000412 -0.19713907 -0.19784184
#> 2.36957596181032 -0.16484385 -0.17539071 -0.17924298 -0.19480970 -0.19491861
#> 2.43815433799455 -0.15443664 -0.16407221 -0.16424828 -0.19136877 -0.19994281
#> 2.55412171880947 -0.14476921 -0.15300471 -0.15300471 -0.16037219 -0.16967818
#> 2.70001802940495 -0.12043191 -0.13684933 -0.13918967 -0.14986371 -0.16263924
#> [,36] [,37]
#> 1.64869392029419 -0.05079022 -0.06748569
#> 1.75126810787332 -0.08614969 -0.11149779
#> 1.79946777896389 -0.10128704 -0.14197355
#> 1.87106930768594 -0.13092207 -0.16457603
#> 1.91429554166968 -0.14251262 -0.17147489
#> 1.95302761682418 -0.15193848 -0.20872943
#> 1.99178060312141 -0.16422798 -0.21544262
#> 2.02501049762032 -0.17082091 -0.21895560
#> 2.05778004489866 -0.17377983 -0.22715002
#> 2.09450607114123 -0.18008759 -0.25826056
#> 2.14006616349627 -0.19579203 -0.26885438
#> 2.18658617913116 -0.20511830 -0.28754354
#> 2.22462355152433 -0.21036257 -0.29953585
#> 2.26917603086292 -0.21391522 -0.30662888
#> 2.31817718775388 -0.21455036 -0.30963399
#> 2.36957596181032 -0.20587883 -0.34656187
#> 2.43815433799455 -0.19994281 -0.32461204
#> 2.55412171880947 -0.16967818 -0.28751108
#> 2.70001802940495 -0.16251210 -0.24983829
#>
#> $ciupper
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> 1.64869392029419 0.1264312 0.1264312 0.1241522 0.1241522 0.1241522 0.1241522
#> 1.75126810787332 0.1770875 0.1770876 0.1602820 0.1756538 0.1602820 0.1602820
#> 1.79946777896389 0.1954303 0.1928642 0.1858297 0.1928642 0.1858297 0.1858297
#> 1.87106930768594 0.1919566 0.2267115 0.2052262 0.2213586 0.2086527 0.2086527
#> 1.91429554166968 0.1948300 0.2362882 0.2043481 0.2325693 0.2101120 0.2101120
#> 1.95302761682418 0.1949972 0.2311544 0.1978840 0.2309315 0.2038641 0.2191713
#> 1.99178060312141 0.1987684 0.2253028 0.1993915 0.2250388 0.1993915 0.2250388
#> 2.02501049762032 0.1984985 0.2206368 0.1988249 0.2174378 0.1988249 0.2174378
#> 2.05778004489866 0.1970152 0.2166055 0.1968995 0.2039301 0.1968995 0.2039301
#> 2.09450607114123 0.1962520 0.2119993 0.1940807 0.1963209 0.1914006 0.1945517
#> 2.14006616349627 0.1967783 0.2146523 0.1905540 0.1967783 0.1904306 0.1919650
#> 2.18658617913116 0.1951067 0.2161995 0.1925381 0.1951504 0.1894536 0.1935250
#> 2.22462355152433 0.2045008 0.2159201 0.1919057 0.2044645 0.1867727 0.2044645
#> 2.26917603086292 0.2144059 0.2191696 0.1919745 0.2187633 0.1919745 0.2187633
#> 2.31817718775388 0.2130414 0.2351234 0.2057054 0.2343730 0.1971162 0.2343730
#> 2.36957596181032 0.2123803 0.2502233 0.2309438 0.2493256 0.2005505 0.2493256
#> 2.43815433799455 0.2311271 0.2676651 0.2651800 0.2652199 0.2175299 0.2652199
#> 2.55412171880947 0.2616267 0.2972251 0.2795894 0.2795894 0.2429138 0.2795894
#> 2.70001802940495 0.2729000 0.3244756 0.2830828 0.2830828 0.2623427 0.2830828
#> [,7] [,8] [,9] [,10] [,11]
#> 1.64869392029419 0.1241522 0.1241522 0.1241522 0.1241522 0.10212032
#> 1.75126810787332 0.1602820 0.1602820 0.1602820 0.1531550 0.08955896
#> 1.79946777896389 0.1859282 0.1859282 0.1859282 0.1835102 0.05659599
#> 1.87106930768594 0.2112412 0.2112412 0.2112412 0.1917987 -0.02742540
#> 1.91429554166968 0.2144874 0.2144874 0.2144874 0.2005783 -0.09019650
#> 1.95302761682418 0.2191713 0.2191384 0.2191384 0.1974452 -0.16033059
#> 1.99178060312141 0.2250388 0.2232743 0.2232743 0.1991660 -0.24502542
#> 2.02501049762032 0.2174378 0.2173803 0.2173803 0.1988129 -0.32724132
#> 2.05778004489866 0.2039301 0.2038596 0.2038596 0.1968995 -0.41378535
#> 2.09450607114123 0.1945517 0.1944657 0.1944657 0.1940849 -0.51254191
#> 2.14006616349627 0.1919650 0.1918600 0.1918600 0.1914577 -0.60553113
#> 2.18658617913116 0.1935250 0.1934021 0.1999735 0.1998168 -0.68042497
#> 2.22462355152433 0.2044645 0.2043288 0.2088001 0.2088001 -0.72767300
#> 2.26917603086292 0.2187633 0.2186156 0.2186156 0.2186156 -0.76705821
#> 2.31817718775388 0.2343730 0.2342984 0.2342984 0.2342984 -0.79277900
#> 2.36957596181032 0.2493256 0.2493139 0.2493139 0.2493139 -0.80431891
#> 2.43815433799455 0.2652199 0.2652065 0.2652065 0.2639415 -0.80369243
#> 2.55412171880947 0.2810586 0.2809803 0.2809803 0.2791996 -0.78495105
#> 2.70001802940495 0.3128780 0.3127891 0.3127891 0.2823185 -0.76150409
#> [,12] [,13] [,14] [,15] [,16]
#> 1.64869392029419 0.09265019 0.08262008 0.07744336 0.075084605 0.09223996
#> 1.75126810787332 0.06804763 0.06556174 0.06047944 0.053591114 0.12210722
#> 1.79946777896389 0.03255472 0.02156169 0.01657947 0.009813373 0.12453664
#> 1.87106930768594 -0.03154089 -0.04859534 -0.08371094 -0.083710940 0.11461357
#> 1.91429554166968 -0.10166701 -0.13935272 -0.16022821 -0.166972566 0.11294101
#> 1.95302761682418 -0.16033059 -0.24598440 -0.24790664 -0.251481638 0.10906818
#> 1.99178060312141 -0.24502542 -0.34471280 -0.34471280 -0.344712796 0.09924366
#> 2.02501049762032 -0.32724132 -0.43705172 -0.43705172 -0.437051721 0.09299417
#> 2.05778004489866 -0.41378535 -0.52447734 -0.52447734 -0.524477342 0.08917146
#> 2.09450607114123 -0.51254191 -0.62217090 -0.62217090 -0.622170900 0.08759800
#> 2.14006616349627 -0.62976095 -0.74419006 -0.74419006 -0.744190064 0.09006558
#> 2.18658617913116 -0.73442023 -0.83309848 -0.83309848 -0.829968582 0.09487164
#> 2.22462355152433 -0.80385879 -0.89599931 -0.89599931 -0.881485492 0.10021875
#> 2.26917603086292 -0.85464665 -0.94348154 -0.94883404 -0.921700808 0.12058357
#> 2.31817718775388 -0.88256990 -0.97125764 -0.98301414 -0.943766035 0.13526611
#> 2.36957596181032 -0.89452972 -0.97854944 -0.99767412 -0.947416952 0.14527358
#> 2.43815433799455 -0.88628629 -0.95799975 -0.99656178 -0.943914263 0.15469778
#> 2.55412171880947 -0.86955655 -0.91728287 -0.96985838 -0.916984424 0.16109361
#> 2.70001802940495 -0.85938834 -0.88636322 -0.93677210 -0.886353759 0.18652987
#> [,17] [,18] [,19] [,20] [,21]
#> 1.64869392029419 0.09318070 0.09223996 0.09082765 0.08187065 0.07301128
#> 1.75126810787332 0.12773232 0.12223213 0.12048112 0.11753284 0.08991055
#> 1.79946777896389 0.13582087 0.13582087 0.13261233 0.11581341 0.08957954
#> 1.87106930768594 0.13491744 0.13491744 0.13491744 0.11236293 0.08035202
#> 1.91429554166968 0.12136911 0.12136911 0.12139161 0.10609588 0.06725531
#> 1.95302761682418 0.11579509 0.11568795 0.10930308 0.10356479 0.05244723
#> 1.99178060312141 0.11125284 0.10297965 0.11135251 0.09376946 0.04468432
#> 2.02501049762032 0.10252657 0.09905331 0.10270889 0.08248722 0.02713879
#> 2.05778004489866 0.09417302 0.09364902 0.09467141 0.06921139 0.01996009
#> 2.09450607114123 0.09213981 0.08750944 0.08868578 0.05256880 0.01584351
#> 2.14006616349627 0.10667746 0.08849003 0.09029664 0.03465338 0.01354106
#> 2.18658617913116 0.12147768 0.09144518 0.09502645 0.03045840 0.01160031
#> 2.22462355152433 0.13108906 0.09433730 0.11186584 0.03199591 0.01220067
#> 2.26917603086292 0.13536486 0.09751669 0.12630997 0.04041181 0.01375019
#> 2.31817718775388 0.14124716 0.10027948 0.13522640 0.04841102 0.01782466
#> 2.36957596181032 0.14646596 0.10301869 0.14471184 0.05261141 0.02304456
#> 2.43815433799455 0.15622955 0.11097437 0.15308196 0.06255613 0.03518878
#> 2.55412171880947 0.17857235 0.12460636 0.17096799 0.09488485 0.05841924
#> 2.70001802940495 0.20767810 0.16676900 0.19009648 0.10541292 0.08142831
#> [,22] [,23] [,24] [,25]
#> 1.64869392029419 0.07301128 0.0730112800 0.0704045561 0.070404556
#> 1.75126810787332 0.08991055 0.0834105189 0.0812835710 0.081289576
#> 1.79946777896389 0.08957954 0.0832000330 0.0777043621 0.077717354
#> 1.87106930768594 0.08035202 0.0763528050 0.0672797767 0.067279777
#> 1.91429554166968 0.06530080 0.0647449772 0.0647449772 0.064744977
#> 1.95302761682418 0.05237957 0.0508622693 0.0502427780 0.050242778
#> 1.99178060312141 0.04468432 0.0427381265 0.0363320042 0.036332004
#> 2.02501049762032 0.02713879 0.0268715637 0.0254374417 0.025437442
#> 2.05778004489866 0.01992629 0.0151614675 0.0149272316 0.014750238
#> 2.09450607114123 0.01567365 0.0108946722 0.0070535358 0.004580658
#> 2.14006616349627 0.01104173 0.0005701972 -0.0001885443 -0.000736689
#> 2.18658617913116 0.01016114 0.0005082256 -0.0029774824 -0.003013534
#> 2.22462355152433 0.01035194 0.0050738379 -0.0038231883 -0.003868153
#> 2.26917603086292 0.01345303 0.0128342232 -0.0034436709 -0.003568638
#> 2.31817718775388 0.01639631 0.0162900647 0.0102760030 0.010175208
#> 2.36957596181032 0.02106834 0.0193133265 0.0193133265 0.017602177
#> 2.43815433799455 0.03518878 0.0351887771 0.0333126738 0.029600662
#> 2.55412171880947 0.05837856 0.0583785617 0.0564977196 0.052321095
#> 2.70001802940495 0.08100056 0.0738619985 0.0676800683 0.063007622
#> [,26] [,27] [,28] [,29]
#> 1.64869392029419 0.070404556 0.068192765 0.068192765 0.0681927655
#> 1.75126810787332 0.081289576 0.077197627 0.077197627 0.0771976272
#> 1.79946777896389 0.077717354 0.076025260 0.076025260 0.0760252596
#> 1.87106930768594 0.067279777 0.078358051 0.078358051 0.0783580511
#> 1.91429554166968 0.059936134 0.057784774 0.057784774 0.0577847736
#> 1.95302761682418 0.048921364 0.047701955 0.047701955 0.0477019552
#> 1.99178060312141 0.035635922 0.034452495 0.034452495 0.0344524947
#> 2.02501049762032 0.024407989 0.024433964 0.024433964 0.0244339643
#> 2.05778004489866 0.007909887 0.007909887 0.007909887 0.0129642325
#> 2.09450607114123 -0.002111158 -0.001946953 -0.001946953 0.0045806579
#> 2.14006616349627 -0.016360163 -0.007286612 -0.007286612 -0.0007225347
#> 2.18658617913116 -0.016895033 -0.009632904 -0.009632904 -0.0029774824
#> 2.22462355152433 -0.019757477 -0.003915283 -0.008845946 -0.0038936374
#> 2.26917603086292 -0.010626908 -0.003428877 -0.004730673 0.0031534793
#> 2.31817718775388 -0.004990249 0.004097236 -0.002484676 0.0067224319
#> 2.36957596181032 0.007990137 0.016183086 0.008331410 0.0192880481
#> 2.43815433799455 0.020008950 0.035389961 0.033321140 0.0411716115
#> 2.55412171880947 0.035708461 0.056591423 0.056591423 0.0625481584
#> 2.70001802940495 0.062390779 0.073861998 0.073861998 0.0810375341
#> [,30] [,31] [,32] [,33] [,34]
#> 1.64869392029419 0.0704045561 0.070602701 0.07060270 0.067965228 0.0679652275
#> 1.75126810787332 0.0812895761 0.090742450 0.09074245 0.081309764 0.0813097641
#> 1.79946777896389 0.0777173542 0.084720597 0.08472060 0.077751825 0.0777518246
#> 1.87106930768594 0.0783580511 0.080336750 0.08061221 0.078358051 0.0629175701
#> 1.91429554166968 0.0577847736 0.065405863 0.07442566 0.057940452 0.0539938804
#> 1.95302761682418 0.0477019552 0.050520572 0.06199010 0.047859747 0.0452122840
#> 1.99178060312141 0.0344524947 0.035797351 0.04055023 0.032877920 0.0316544440
#> 2.02501049762032 0.0244339643 0.026513235 0.02901993 0.022958105 0.0175357869
#> 2.05778004489866 0.0129642325 0.015289459 0.02498200 0.012954640 0.0086756836
#> 2.09450607114123 0.0045806579 0.009236717 0.02214038 0.008914798 0.0034864746
#> 2.14006616349627 -0.0007225347 0.005572883 0.02122024 0.005337213 -0.0013908498
#> 2.18658617913116 -0.0029774824 0.003300691 0.02299155 0.003038825 -0.0060955663
#> 2.22462355152433 -0.0038936374 0.005460799 0.02601064 0.002343350 -0.0037492635
#> 2.26917603086292 0.0031534793 0.013840937 0.03065700 0.007577442 0.0005298467
#> 2.31817718775388 0.0067654260 0.024973465 0.03018642 0.006847061 0.0021779789
#> 2.36957596181032 0.0125582093 0.037399105 0.03981024 0.014052781 0.0080847165
#> 2.43815433799455 0.0336832228 0.049833900 0.04983390 0.026678981 0.0245118118
#> 2.55412171880947 0.0565914228 0.062119689 0.06211969 0.042989675 0.0412951382
#> 2.70001802940495 0.0722497019 0.081037534 0.08272772 0.072432723 0.0601876611
#> [,35] [,36] [,37]
#> 1.64869392029419 0.067965228 0.07074047 0.07074047
#> 1.75126810787332 0.081309757 0.09332033 0.09332033
#> 1.79946777896389 0.077751800 0.10547655 0.10547655
#> 1.87106930768594 0.071779041 0.09069448 0.09069448
#> 1.91429554166968 0.057874651 0.08067534 0.08067534
#> 1.95302761682418 0.047859747 0.06419132 0.07339997
#> 1.99178060312141 0.032877920 0.05023574 0.05815799
#> 2.02501049762032 0.017535787 0.02922279 0.05638898
#> 2.05778004489866 0.009103982 0.01505233 0.04921057
#> 2.09450607114123 0.008359511 0.01444185 0.04230381
#> 2.14006616349627 0.001991794 0.01676017 0.03580312
#> 2.18658617913116 0.002931034 0.02378273 0.03152675
#> 2.22462355152433 0.002335826 0.02832849 0.03126705
#> 2.26917603086292 0.003152875 0.02821431 0.03731645
#> 2.31817718775388 0.006484773 0.03758752 0.04305013
#> 2.36957596181032 0.012014647 0.04780093 0.04895063
#> 2.43815433799455 0.026678981 0.05500485 0.05849167
#> 2.55412171880947 0.042776650 0.06844127 0.07450322
#> 2.70001802940495 0.062882170 0.11017509 0.11017509
#>
#> $cenval
#> [1] 0
#>
#> $cumulative.effect
#> vals mean lower upper
#> 1 1.648694 0.51131316 -1.086661 3.4279623
#> 2 1.751268 0.32455059 -2.316773 3.8092691
#> 3 1.799468 -0.02364829 -3.030774 3.4056931
#> 4 1.871069 -0.92583449 -4.129892 2.5893626
#> 5 1.914296 -1.67827947 -4.794901 2.0031849
#> 6 1.953028 -2.45083393 -5.482212 1.1323102
#> 7 1.991781 -3.27573622 -6.218280 0.4083284
#> 8 2.025010 -3.98877609 -6.812606 -0.4362025
#> 9 2.057780 -4.66508750 -7.271380 -1.2348716
#> 10 2.094506 -5.35620078 -7.656607 -2.1717936
#> 11 2.140066 -6.06680435 -8.392818 -3.0492431
#> 12 2.186586 -6.58263119 -8.801993 -3.4654754
#> 13 2.224624 -6.83406334 -9.200209 -3.6883561
#> 14 2.269176 -6.94218449 -9.321447 -3.7634433
#> 15 2.318177 -6.86440816 -9.329554 -3.7850956
#> 16 2.369576 -6.62421452 -9.118844 -3.6777157
#> 17 2.438154 -6.17340346 -8.665615 -3.4861415
#> 18 2.554122 -5.38937713 -7.933302 -2.8551946
#> 19 2.700018 -4.64752474 -7.310266 -1.6213122
#>
#> $pred.at
#> [1] 1.648694 1.751268 1.799468 1.871069 1.914296 1.953028 1.991781 2.025010
#> [9] 2.057780 2.094506 2.140066 2.186586 2.224624 2.269176 2.318177 2.369576
#> [17] 2.438154 2.554122 2.700018
#>
#> $gamma.mean
#> (Intercept) c1 c2 c3 c4 c5
#> -2.0227597 -0.9245206 1.0453346 -0.7531419 0.4146443 0.2338152
#> b1 b2 b3 b4 b5
#> -0.2189018 1.2582135 0.3157776 0.4174292 0.1361815
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5
#> 2.5% -12.396144 -1.029437 0.9564405 -0.8681881 0.3077717 0.1306086
#> 97.5% 7.958044 -0.824705 1.1459634 -0.6353657 0.5204391 0.3416075
#> b1 b2 b3 b4 b5
#> 2.5% -0.43324144 1.056683 0.07842655 0.1879511 -0.05482214
#> 97.5% -0.02858097 1.473699 0.49767800 0.6111672 0.38549629
#>
#> $splitProb
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#>
#> $splitIter
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,98] [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,108] [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,118] [,119] [,120] [,121] [,122] [,123] [,124] [,125] [,126] [,127]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,128] [,129] [,130] [,131] [,132] [,133] [,134] [,135] [,136] [,137]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,138] [,139] [,140] [,141] [,142] [,143] [,144] [,145] [,146] [,147]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,148] [,149] [,150] [,151] [,152] [,153] [,154] [,155] [,156] [,157]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,158] [,159] [,160] [,161] [,162] [,163] [,164] [,165] [,166] [,167]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,168] [,169] [,170] [,171] [,172] [,173] [,174] [,175] [,176] [,177]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,178] [,179] [,180] [,181] [,182] [,183] [,184] [,185] [,186] [,187]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,188] [,189] [,190] [,191] [,192] [,193] [,194] [,195] [,196] [,197]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,198] [,199] [,200]
#> [1,] 1 1 1
#> [2,] 1 1 1
#> [3,] 1 1 1
#> [4,] 1 1 1
#> [5,] 1 1 1
#> [6,] 1 1 1
#> [7,] 1 1 1
#> [8,] 1 1 1
#> [9,] 1 1 1
#> [10,] 1 1 1
#> [11,] 1 1 1
#> [12,] 1 1 1
#> [13,] 1 1 1
#> [14,] 1 1 1
#> [15,] 1 1 1
#> [16,] 1 1 1
#> [17,] 1 1 1
#> [18,] 1 1 1
#> [19,] 1 1 1
#> [20,] 1 1 1
#> [21,] 1 1 1
#> [22,] 1 1 1
#> [23,] 1 1 1
#> [24,] 1 1 1
#> [25,] 1 1 1
#> [26,] 1 1 1
#> [27,] 1 1 1
#> [28,] 1 1 1
#> [29,] 1 1 1
#> [30,] 1 1 1
#> [31,] 1 1 1
#> [32,] 1 1 1
#> [33,] 1 1 1
#> [34,] 1 1 1
#> [35,] 1 1 1
#> [36,] 1 1 1
#> [37,] 1 1 1
#>
#> $formula
#> y ~ .
#> <environment: 0x55b84eb9c8b8>
#>
#> attr(,"class")
#> [1] "summary.tdlnm"
# plot results
plot(tdlnm.sum)
# Heterogeneous TDLM (HDLM), similar to first example but with heterogeneous exposure response
D <- sim.hdlmm(sim = "B", n = 1000)
hdlm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "linear",
family = "gaussian",
het = TRUE)
#> Preparing data...
#>
#> Running shared HDLM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 4 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
hdlm.sum <- summary(hdlm.fit)
hdlm.sum
#> $ctr
#> $ctr$class
#> [1] "hdlm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] NA
#>
#> $rse
#> [1] 0.044401
#>
#> $n
#> [1] 1000
#>
#> $modPrior
#> [1] 0.5
#>
#> $mod.names
#> [1] "mod_num" "mod_bin" "mod_scale" "c1" "c2" "c3"
#> [7] "c4" "c5" "b1" "b2" "b3" "b4"
#> [13] "b5"
#>
#> $pip
#> PIP
#> mod_num 1.000
#> mod_bin 0.205
#> mod_scale 1.000
#> c1 0.340
#> c2 0.245
#> c3 0.130
#> c4 0.340
#> c5 0.360
#> b1 0.235
#> b2 0.190
#> b3 0.225
#> b4 0.165
#> b5 0.210
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 0.098965115 1.406875224 0.042913830 0.569822499 -0.636811341 -1.323093113
#> c3 c4 c5 b1 b2 b3
#> -0.681159162 -1.013986852 -0.454056402 -1.160754826 -0.003967832 -2.265168324
#> b4 b5
#> -1.247403143 0.574877565
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 2.5% -0.08394627 1.345838 -0.07443616 0.3409671 -0.6961938 -1.386629
#> 97.5% 0.28910499 1.473703 0.17224294 0.7822041 -0.5709162 -1.252878
#> c3 c4 c5 b1 b2 b3 b4
#> 2.5% -0.7463180 -1.0602651 -0.5086955 -1.270559 -0.1351302 -2.384227 -1.367863
#> 97.5% -0.6101203 -0.9537987 -0.3930622 -1.039025 0.1057650 -2.137470 -1.140899
#> b5
#> 2.5% 0.4643120
#> 97.5% 0.6917755
#>
#> $formula
#> y ~ .
#> <environment: 0x55b84eb9c8b8>
#>
#> attr(,"class")
#> [1] "summary.hdlm"
# shiny app for HDLM
if (interactive()) {
shiny(hdlm.fit)
}
# The next two examples are for a mixture (or multivariate) exposure
# Treed distributed lag mixture model (TDLMM)
# Model for mixutre (or multivariate) lagged exposures
# with a homogenious exposure-time-response function
D <- sim.tdlmm(sim = "B", error = 25, n = 1000)
tdlmm.fit <- dlmtree(y ~ .,
data = D$dat, exposure.data = D$exposures,
control.mix = list(interactions = "noself"),
dlm.type = "linear", family = "gaussian",
mixture = TRUE)
#> Preparing data...
#>
#> Running TDLMM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 4 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlmm.sum <- summary(tdlmm.fit)
#> Specified co-exposure values:
#> - e1 : 4.466284
#> - e2 : 4.906237
#> - e3 : 4.837514
#> - e4 : 4.480079
#> - e5 : 6.458263
#>
#> Reconstructing main effects...
#> Reconstructing interaction effects...
#> 0%...25%...50%...75%...100%
#> Calculating marginal effects...
#> Calculating fixed effects...
# plot the marginal exposure-response for one exposure
plot(tdlmm.sum, exposure1 = "e1")
# plot exposure-response surface
plot(tdlmm.sum, exposure1 = "e1", exposure2 = "e2")
# heterogeneous version of TDLMM
D <- sim.hdlmm(sim = "D", n = 1000)
hdlmm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "linear",
family = "gaussian",
mixture = TRUE,
het = TRUE)
#> Preparing data...
#>
#> Running HDLMM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 24 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
hdlmm.sum <- summary(hdlmm.fit)
hdlmm.sum
#> $ctr
#> $ctr$class
#> [1] "hdlmm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $n.lag
#> [1] 37
#>
#> $n.exp
#> [1] 3
#>
#> $n.mix
#> [1] 3
#>
#> $interaction
#> [1] 1
#>
#> $exp.names
#> [1] "e1" "e2" "e3"
#>
#> $mix.names
#> [1] "e1-e2" "e1-e3" "e2-e3"
#>
#> $mix.prior
#> [1] 1
#>
#> $mod.names
#> [1] "mod_num" "mod_bin" "mod_scale" "c1" "c2" "c3"
#> [7] "c4" "c5" "b1" "b2" "b3" "b4"
#> [13] "b5"
#>
#> $mod.prior
#> [1] 0.5
#>
#> $conf.level
#> [1] 0.95
#>
#> $sig.to.noise
#> [1] NA
#>
#> $rse
#> [1] 0.1576037
#>
#> $n
#> [1] 1000
#>
#> $pip
#> PIP
#> mod_num 1.000
#> mod_bin 1.000
#> mod_scale 0.565
#> c1 0.545
#> c2 0.495
#> c3 0.495
#> c4 0.605
#> c5 0.520
#> b1 0.510
#> b2 0.455
#> b3 0.380
#> b4 0.500
#> b5 0.450
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 0.16850150 1.17447630 0.15083943 -0.51769829 0.53758575 -1.11757830
#> c3 c4 c5 b1 b2 b3
#> -1.10569144 0.78540439 -0.03842438 0.99922405 -0.09020985 -0.39232657
#> b4 b5
#> -1.16501786 0.10365728
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2 c3
#> 2.5% -0.08030695 1.078156 -0.04935534 -0.7622601 0.4771314 -1.191714 -1.174881
#> 97.5% 0.41512880 1.262639 0.32428707 -0.3002497 0.6097940 -1.054016 -1.042936
#> c4 c5 b1 b2 b3 b4
#> 2.5% 0.7266837 -0.10792806 0.8563645 -0.22652655 -0.5205157 -1.294743
#> 97.5% 0.8543339 0.03931785 1.1421730 0.02084327 -0.2817561 -1.030764
#> b5
#> 2.5% -0.01685884
#> 97.5% 0.23415933
#>
#> $formula
#> y ~ .
#> <environment: 0x55b84eb9c8b8>
#>
#> attr(,"class")
#> [1] "summary.hdlmm"
# summarize results
if (interactive()) {
shiny(hdlmm.fit)
}
# }