Classification Accuracy and Consistency Based on Rudner's (2001, 2005) Approach
Source:R/cac_rud.R
cac_rud.RdThis function computes classification accuracy and consistency indices using the method proposed by Rudner in 2001 and 2005. This function supports both scenarios: when the empirical ability distribution of the population is available, and when individual ability estimates are used.
Arguments
- x
A data frame containing item metadata (e.g., item parameters, number of categories, IRT model types, etc.). See
est_irt()orsimdat()for more details about the item metadata. This data frame can be easily created using theshape_df()function. Ifx = NULL, theseargument must be explicitly provided. Defaults toNULL.- cutscore
A numeric vector specifying the cut scores for classification. Cut scores are the points that separate different performance categories (e.g., pass vs. fail, or different grades).
- theta
A numeric vector of ability estimates. Ability estimates (theta values) are the individual proficiency estimates obtained from the IRT model. The theta parameter is optional and can be
NULL.- se
A numeric vector of the same length as
thetarepresenting the standard errors associated with each ability estimate. IfNULLandxis supplied, standard errors are computed using the test information function. See the Details section for more information- weights
An optional two-column data frame or matrix where the first column is the quadrature points (nodes) and the second column is the corresponding weights. This is typically used in quadrature-based IRT analysis.
- D
A scaling constant used in IRT models to make the logistic function closely approximate the normal ogive function. A value of 1.7 is commonly used for this purpose. Default is 1.
Value
A list containing the following elements:
confusion: A confusion matrix showing the cross table between true and expected levels.
marginal: A data frame showing the marginal classification accuracy and consistency indices.
conditional: A data frame showing the conditional classification accuracy and consistency indices.
prob.level: A data frame showing the probability of being assigned to each level category.
cutscore: A numeric vector showing the cut scores used in the analysis.
Details
This function first validates the input arguments. If both theta
and weights are NULL, the function will stop and return an error message.
Either theta or weights must be specified.
Either x or se must be specified. If se is not provided (i.e., se = NULL),
it will be computed using the test information derived from the item metadata x.
The length of se must match the length of theta, or the number of quadrature
points in weights.
It then computes the probability that an examinee with a given ability is
classified into each performance level using the normal distribution function
centered at each theta (or quadrature point) with standard deviation se.
These probabilities are used to calculate conditional classification accuracy
(the probability of being correctly classified) and conditional classification
consistency (the probability of being consistently classified upon repeated
testing) for each ability value.
Finally, the function computes marginal classification accuracy and consistency across all examinees by aggregating the conditional indices with the associated weights.
References
Rudner, L. M. (2001). Computing the expected proportions of misclassified examinees. Practical Assessment, Research, and Evaluation, 7(1), 14.
Rudner, L. M. (2005). Expected classification accuracy. Practical Assessment, Research, and Evaluation, 10(1), 13.
Author
Hwanggyu Lim hglim83@gmail.com
Examples
# \donttest{
## -------------------------------------------
# 1. Using the empirical ability distribution
## -------------------------------------------
# Import the "-prm.txt" output file from flexMIRT
flex_prm <- system.file("extdata", "flexmirt_sample-prm.txt", package = "irtQ")
# Read item parameter estimates and convert them into item metadata
x <- bring.flexmirt(file = flex_prm, "par")$Group1$full_df
# Define cut scores on the theta scale
cutscore <- c(-2, -0.5, 0.8)
# Create quadrature points and corresponding weights
node <- seq(-4, 4, 0.25)
weights <- gen.weight(dist = "norm", mu = 0, sigma = 1, theta = node)
# Compute classification accuracy and consistency
cac_1 <- cac_rud(
x = x,
cutscore = cutscore,
weights = weights,
se = NULL,
D = 1)
print(cac_1)
#> $confusion
#> Expected
#> True 1 2 3 4
#> 1 0.0127063 0.0038304 0.0000091 0.0000001
#> 2 0.0153152 0.2159894 0.0175900 0.0000000
#> 3 0.0000000 0.0644774 0.4326153 0.0473133
#> 4 0.0000000 0.0000000 0.0198709 0.1702826
#>
#> $marginal
#> level accuracy consistency
#> 1 0.01270634 0.01085858
#> 2 0.21598941 0.19884521
#> 3 0.43261525 0.40283956
#> 4 0.17028257 0.15895362
#> marginal 0.83159357 0.77149697
#>
#> $conditional
#> theta weights level accuracy consistency
#> 1 -4.00 3.345874e-05 1 0.8912057 0.8031525
#> 2 -3.75 8.815204e-05 1 0.9001052 0.8185861
#> 3 -3.50 2.181784e-04 1 0.9044828 0.8263996
#> 4 -3.25 5.072800e-04 1 0.9025705 0.8237120
#> 5 -3.00 1.108001e-03 1 0.8909414 0.8054458
#> 6 -2.75 2.273471e-03 1 0.8625556 0.7627488
#> 7 -2.50 4.382230e-03 1 0.8033641 0.6839343
#> 8 -2.25 7.935194e-03 1 0.6897493 0.5718459
#> 9 -2.00 1.349822e-02 2 0.4996662 0.4996664
#> 10 -1.75 2.157009e-02 2 0.7385444 0.6134543
#> 11 -1.50 3.238054e-02 2 0.9212155 0.8545163
#> 12 -1.25 4.566389e-02 2 0.9809575 0.9624590
#> 13 -1.00 6.049482e-02 2 0.9527687 0.9099616
#> 14 -0.75 7.528702e-02 2 0.8109362 0.6933606
#> 15 -0.50 8.801945e-02 3 0.4999989 0.4999989
#> 16 -0.25 9.667045e-02 3 0.8235598 0.7093652
#> 17 0.00 9.973910e-02 3 0.9673423 0.9367279
#> 18 0.25 9.667045e-02 3 0.9753235 0.9517367
#> 19 0.50 8.801945e-02 3 0.8573323 0.7553208
#> 20 0.75 7.528702e-02 3 0.5679996 0.5092399
#> 21 1.00 6.049482e-02 4 0.7439048 0.6189789
#> 22 1.25 4.566389e-02 4 0.9201416 0.8530379
#> 23 1.50 3.238054e-02 4 0.9808684 0.9624689
#> 24 1.75 2.157009e-02 4 0.9957342 0.9915047
#> 25 2.00 1.349822e-02 4 0.9988740 0.9977505
#> 26 2.25 7.935194e-03 4 0.9995802 0.9991607
#> 27 2.50 4.382230e-03 4 0.9997690 0.9995380
#> 28 2.75 2.273471e-03 4 0.9998217 0.9996435
#> 29 3.00 1.108001e-03 4 0.9998219 0.9996439
#> 30 3.25 5.072800e-04 4 0.9997857 0.9995716
#> 31 3.50 2.181784e-04 4 0.9997065 0.9994131
#> 32 3.75 8.815204e-05 4 0.9995614 0.9991232
#> 33 4.00 3.345874e-05 4 0.9993086 0.9986181
#>
#> $prob.level
#> theta weights level p.level.1 p.level.2 p.level.3 p.level.4
#> 1 -4.00 3.345874e-05 1 8.912057e-01 9.331829e-02 0.0139333577 1.542605e-03
#> 2 -3.75 8.815204e-05 1 9.001052e-01 9.126520e-02 0.0082009681 4.286603e-04
#> 3 -3.50 2.181784e-04 1 9.044828e-01 9.105646e-02 0.0043716694 8.904010e-05
#> 4 -3.25 5.072800e-04 1 9.025705e-01 9.525689e-02 0.0021593022 1.333778e-05
#> 5 -3.00 1.108001e-03 1 8.909414e-01 1.080197e-01 0.0010374852 1.435148e-06
#> 6 -2.75 2.273471e-03 1 8.625556e-01 1.369172e-01 0.0005270330 1.181791e-07
#> 7 -2.50 4.382230e-03 1 8.033641e-01 1.963167e-01 0.0003191395 8.782710e-09
#> 8 -2.25 7.935194e-03 1 6.897493e-01 3.099865e-01 0.0002641508 7.671996e-10
#> 9 -2.00 1.349822e-02 2 5.000000e-01 4.996662e-01 0.0003338087 1.066721e-10
#> 10 -1.75 2.157009e-02 2 2.607796e-01 7.385444e-01 0.0006759716 3.125122e-11
#> 11 -1.50 3.238054e-02 2 7.663997e-02 9.212155e-01 0.0021445166 2.532874e-11
#> 12 -1.25 4.566389e-02 2 9.521240e-03 9.809575e-01 0.0095212398 7.331447e-11
#> 13 -1.00 6.049482e-02 2 4.000314e-04 9.527687e-01 0.0468312517 7.948552e-10
#> 14 -0.75 7.528702e-02 2 5.244144e-06 8.109362e-01 0.1890585599 2.321082e-08
#> 15 -0.50 8.801945e-02 3 2.245629e-08 5.000000e-01 0.4999989366 1.063448e-06
#> 16 -0.25 9.667045e-02 3 3.900108e-11 1.763926e-01 0.8235598391 4.757415e-05
#> 17 0.00 9.973910e-02 3 4.577313e-14 3.122129e-02 0.9673422810 1.436432e-03
#> 18 0.25 9.667045e-02 3 7.241472e-17 2.947510e-03 0.9753234507 2.172904e-02
#> 19 0.50 8.801945e-02 3 2.547647e-19 1.825748e-04 0.8573323255 1.424851e-01
#> 20 0.75 7.528702e-02 3 2.215126e-21 9.232828e-06 0.5679996400 4.319911e-01
#> 21 1.00 6.049482e-02 4 4.120693e-23 4.422594e-07 0.2560947794 7.439048e-01
#> 22 1.25 4.566389e-02 4 1.580162e-24 2.277335e-08 0.0798583887 9.201416e-01
#> 23 1.50 3.238054e-02 4 1.882424e-25 1.609031e-09 0.0191315891 9.808684e-01
#> 24 1.75 2.157009e-02 4 1.486959e-25 2.338254e-10 0.0042658253 9.957342e-01
#> 25 2.00 1.349822e-02 4 1.184730e-24 9.817139e-11 0.0011260390 9.988740e-01
#> 26 2.25 7.935194e-03 4 6.349306e-23 1.199824e-10 0.0004198297 9.995802e-01
#> 27 2.50 4.382230e-03 4 9.345614e-21 3.211017e-10 0.0002310330 9.997690e-01
#> 28 2.75 2.273471e-03 4 1.704569e-18 1.336239e-09 0.0001782658 9.998217e-01
#> 29 3.00 1.108001e-03 4 2.428362e-16 6.714305e-09 0.0001780671 9.998219e-01
#> 30 3.25 5.072800e-04 4 2.229742e-14 3.511149e-08 0.0002142314 9.997857e-01
#> 31 3.50 2.181784e-04 4 1.258615e-12 1.765820e-07 0.0002933656 9.997065e-01
#> 32 3.75 8.815204e-05 4 4.429785e-11 8.197163e-07 0.0004377882 9.995614e-01
#> 33 4.00 3.345874e-05 4 1.007214e-09 3.437183e-06 0.0006879852 9.993086e-01
#>
#> $cutscore
#> [1] -2.0 -0.5 0.8
#>
## -----------------------------------------
# 2. Using individual ability estimates
## -----------------------------------------
# Generate true abilities from N(0, 1)
set.seed(12)
theta <- rnorm(n = 1000, mean = 0, sd = 1)
# Simulate item response data
data <- simdat(x = x, theta = theta, D = 1)
# Estimate ability and standard errors using ML estimation
est_theta <- est_score(
x = x, data = data, D = 1, method = "ML",
range = c(-4, 4), se = TRUE
)
theta_hat <- est_theta$est.theta
se <- est_theta$se.theta
# Compute classification accuracy and consistency using provided SEs
cac_2 <- cac_rud(
cutscore = cutscore,
theta = theta_hat,
se = se)
print(cac_2)
#> $confusion
#> Expected
#> True 1 2 3 4
#> 1 0.023811 0.0082490 0.0000546 0.0028854
#> 2 0.008110 0.2335466 0.0373433 0.0000000
#> 3 0.000000 0.0423001 0.4157876 0.0389123
#> 4 0.000000 0.0000001 0.0248996 0.1641003
#>
#> $marginal
#> level accuracy consistency
#> 1 0.0238110 0.02139213
#> 2 0.2335466 0.21346631
#> 3 0.4157876 0.38347173
#> 4 0.1641003 0.15430303
#> marginal 0.8372455 0.77263321
#>
#> $conditional
#> theta weights level accuracy consistency
#> 1 -1.7022049518 0.001 2 0.7815904 0.6582314
#> 2 1.9309372265 0.001 4 0.9984201 0.9968452
#> 3 -0.6884935308 0.001 2 0.7488946 0.6238963
#> 4 -0.9641337052 0.001 2 0.9414644 0.8897547
#> 5 -4.0000000000 0.001 1 0.5079783 0.4893291
#> 6 -0.2909987604 0.001 3 0.7808716 0.6577664
#> 7 -0.4891721357 0.001 3 0.5157659 0.5004959
#> 8 -0.5821356777 0.001 2 0.6166557 0.5272167
#> 9 -0.0892825678 0.001 3 0.9368007 0.8815327
#> 10 0.0693812937 0.001 3 0.9795469 0.9598172
#> 11 -0.5200343565 0.001 2 0.5290592 0.5016881
#> 12 -1.7154652250 0.001 2 0.7699197 0.6453588
#> 13 -0.5515079142 0.001 2 0.5740764 0.5109742
#> 14 -0.4079631799 0.001 3 0.6325413 0.5351312
#> 15 -0.3017794362 0.001 3 0.7687454 0.6444379
#> 16 -0.8402473446 0.001 2 0.8810520 0.7903944
#> 17 1.1602975497 0.001 4 0.8740435 0.7798171
#> 18 0.3379523273 0.001 3 0.9524906 0.9093891
#> 19 0.3853838696 0.001 3 0.9325506 0.8741095
#> 20 -0.2346782158 0.001 3 0.8380683 0.7285611
#> 21 0.3493597292 0.001 3 0.9482334 0.9017236
#> 22 2.1271587725 0.001 4 0.9993510 0.9987029
#> 23 0.8859829962 0.001 4 0.6131984 0.5256264
#> 24 -0.2833308148 0.001 3 0.7892736 0.6673462
#> 25 -1.3141771454 0.001 2 0.9757262 0.9524030
#> 26 -0.8049597496 0.001 2 0.8565345 0.7542293
#> 27 0.0539574844 0.001 3 0.9775686 0.9560350
#> 28 0.1434565567 0.001 3 0.9838616 0.9681145
#> 29 0.1955349967 0.001 3 0.9819595 0.9644371
#> 30 0.6062732061 0.001 3 0.7515585 0.6265375
#> 31 0.6412433867 0.001 3 0.7101142 0.5882761
#> 32 1.9631257838 0.001 4 0.9986551 0.9973138
#> 33 -0.2364071734 0.001 3 0.8364710 0.7264065
#> 34 -1.2760793477 0.001 2 0.9795141 0.9596672
#> 35 -0.6227160164 0.001 2 0.6703856 0.5580621
#> 36 -0.5986602487 0.001 2 0.6389502 0.5386140
#> 37 -0.0279521619 0.001 3 0.9597866 0.9227281
#> 38 -0.8038382718 0.001 2 0.8556983 0.7530383
#> 39 0.7713440944 0.001 3 0.5389556 0.5030285
#> 40 -0.9108408363 0.001 2 0.9199373 0.8526792
#> 41 0.2385919179 0.001 3 0.9771392 0.9551939
#> 42 -0.1825635620 0.001 3 0.8814054 0.7909103
#> 43 0.6255520547 0.001 3 0.7290559 0.6049108
#> 44 -2.0376729826 0.001 1 0.5333903 0.5019380
#> 45 -0.3395978855 0.001 3 0.7234614 0.5998630
#> 46 0.5578369336 0.001 3 0.8038574 0.6846223
#> 47 -0.7302539517 0.001 2 0.7922867 0.6708616
#> 48 0.1511899391 0.001 3 0.9838375 0.9680669
#> 49 0.5000714106 0.001 3 0.8572752 0.7552391
#> 50 -0.9458442007 0.001 2 0.9347577 0.8780060
#> 51 -0.7503662076 0.001 2 0.8112711 0.6937774
#> 52 0.2124430222 0.001 3 0.9804360 0.9615053
#> 53 0.5732078564 0.001 3 0.7879608 0.6658101
#> 54 1.6668268867 0.001 4 0.9930207 0.9861388
#> 55 -0.4444787127 0.001 3 0.5806655 0.5130117
#> 56 0.8088481717 0.001 4 0.5119700 0.5002822
#> 57 0.5020022598 0.001 3 0.8556556 0.7529304
#> 58 -1.1626926431 0.001 2 0.9797476 0.9601959
#> 59 -0.5667656091 0.001 2 0.5954724 0.5182296
#> 60 -0.2860047166 0.001 3 0.7863650 0.6639979
#> 61 0.2884790635 0.001 3 0.9673684 0.9367461
#> 62 0.9240691857 0.001 4 0.6599262 0.5511520
#> 63 1.0720266145 0.001 4 0.8104698 0.6927829
#> 64 -0.0717255833 0.001 3 0.9443568 0.8948427
#> 65 1.1436085251 0.001 4 0.8634952 0.7642575
#> 66 0.4580129736 0.001 3 0.8895990 0.8035093
#> 67 1.8738825169 0.001 4 0.9978709 0.9957510
#> 68 -1.5712046066 0.001 2 0.8814006 0.7905859
#> 69 0.5664127254 0.001 3 0.7950714 0.6741000
#> 70 0.6940112264 0.001 3 0.6430097 0.5408906
#> 71 -0.4933561038 0.001 3 0.5096709 0.5001859
#> 72 0.2686389635 0.001 3 0.9718352 0.9451321
#> 73 -0.6339236455 0.001 2 0.6845704 0.5681321
#> 74 -0.2980534856 0.001 3 0.7729764 0.6490216
#> 75 0.0368273385 0.001 3 0.9748984 0.9509542
#> 76 -0.7890783660 0.001 2 0.8442997 0.7370811
#> 77 -0.9240196595 0.001 2 0.9258373 0.8626568
#> 78 -0.2744714166 0.001 3 0.7987446 0.6784833
#> 79 0.7012595036 0.001 3 0.6334638 0.5356129
#> 80 -0.3763691405 0.001 3 0.6757956 0.5618035
#> 81 0.1615660269 0.001 3 0.9836655 0.9677330
#> 82 -1.1411919388 0.001 2 0.9780971 0.9570479
#> 83 -0.5514558145 0.001 2 0.5740034 0.5109525
#> 84 1.3828033611 0.001 4 0.9617593 0.9264434
#> 85 0.1143165717 0.001 3 0.9831548 0.9667524
#> 86 0.8647777675 0.001 4 0.5861064 0.5148267
#> 87 -0.5144629624 0.001 2 0.5209999 0.5008811
#> 88 1.8122128418 0.001 4 0.9970124 0.9940426
#> 89 -1.0098501462 0.001 2 0.9554745 0.9148732
#> 90 -1.0101797555 0.001 2 0.9555593 0.9150276
#> 91 0.2347386092 0.001 3 0.9776989 0.9562622
#> 92 -1.1121098227 0.001 2 0.9750167 0.9511936
#> 93 0.6650023440 0.001 3 0.6804845 0.5651328
#> 94 0.4466786715 0.001 3 0.8973587 0.8157186
#> 95 1.1529548682 0.001 4 0.8694835 0.7730361
#> 96 -0.0906153575 0.001 3 0.9361929 0.8804719
#> 97 0.7191538675 0.001 3 0.6096475 0.5240347
#> 98 -0.7248895338 0.001 2 0.7870080 0.6647458
#> 99 -0.5719864918 0.001 2 0.6027139 0.5210999
#> 100 -1.4214635888 0.001 2 0.9524299 0.9090909
#> 101 1.8171937550 0.001 4 0.9970947 0.9942063
#> 102 0.4171888704 0.001 3 0.9156890 0.8455153
#> 103 1.3925505433 0.001 4 0.9638549 0.9303227
#> 104 -0.3555330429 0.001 3 0.7032041 0.5825779
#> 105 -0.0875657737 0.001 3 0.9375764 0.8828885
#> 106 0.5386438878 0.001 3 0.8227387 0.7082795
#> 107 -0.5907597074 0.001 2 0.6283575 0.5329510
#> 108 0.5707716354 0.001 3 0.7905245 0.6687757
#> 109 -1.5995551650 0.001 2 0.8625415 0.7625217
#> 110 1.1730627818 0.001 4 0.8816725 0.7913477
#> 111 0.0594723790 0.001 3 0.9783211 0.9574719
#> 112 -0.2282165732 0.001 3 0.8439467 0.7365782
#> 113 -0.7618224647 0.001 2 0.8215270 0.7067568
#> 114 0.7392782460 0.001 3 0.5825396 0.5136168
#> 115 -1.3426338847 0.001 2 0.9714786 0.9443367
#> 116 -1.6328115022 0.001 2 0.8383507 0.7286083
#> 117 -0.5967424293 0.001 2 0.6363918 0.5372051
#> 118 -0.1511206466 0.001 3 0.9031281 0.8249867
#> 119 0.3800954605 0.001 3 0.9350744 0.8784871
#> 120 1.1583509760 0.001 4 0.8728483 0.7780317
#> 121 -0.1651241418 0.001 3 0.8938551 0.8102097
#> 122 0.6843520411 0.001 3 0.6556262 0.5484250
#> 123 0.1107280282 0.001 3 0.9829803 0.9664160
#> 124 -1.7020019755 0.001 2 0.7817604 0.6584228
#> 125 -0.7572257527 0.001 2 0.8174599 0.7015594
#> 126 2.0386411786 0.001 4 0.9990573 0.9981164
#> 127 -0.0229506622 0.001 3 0.9612623 0.9254448
#> 128 1.8451084370 0.001 4 0.9975112 0.9950347
#> 129 -1.5602818163 0.001 2 0.8882184 0.8010821
#> 130 -0.1495995613 0.001 3 0.9040972 0.8265508
#> 131 1.1381962380 0.001 4 0.8599305 0.7590999
#> 132 0.0166763561 0.001 3 0.9710841 0.9437446
#> 133 -0.8911150123 0.001 2 0.9103472 0.8367572
#> 134 1.5737691530 0.001 4 0.9877525 0.9758050
#> 135 -0.2763618779 0.001 3 0.7967458 0.6761030
#> 136 0.5746388483 0.001 3 0.7864452 0.6640693
#> 137 0.2067921326 0.001 3 0.9809974 0.9625846
#> 138 0.5154479493 0.001 3 0.8440617 0.7367094
#> 139 -1.2300685118 0.001 2 0.9814773 0.9634741
#> 140 0.2918937896 0.001 3 0.9665172 0.9351570
#> 141 1.0509400070 0.001 4 0.7923660 0.6709556
#> 142 -0.4952065711 0.001 3 0.5069760 0.5000962
#> 143 1.4631048426 0.001 4 0.9761374 0.9534136
#> 144 1.4798593004 0.001 4 0.9784091 0.9577506
#> 145 -0.9755997806 0.001 2 0.9453408 0.8966268
#> 146 -0.7892710772 0.001 2 0.8444559 0.7372963
#> 147 -1.6668486752 0.001 2 0.8114881 0.6936944
#> 148 -0.1369610929 0.001 3 0.9118647 0.8392232
#> 149 -0.7993672624 0.001 2 0.8523146 0.7482472
#> 150 -1.2365674340 0.001 2 0.9813622 0.9632476
#> 151 0.2554964500 0.001 3 0.9743637 0.9499146
#> 152 0.6880108688 0.001 3 0.6508619 0.5455050
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#> 771 -0.8327588092 0.001 2 0.8761532 0.7829762
#> 772 -1.2690320599 0.001 2 0.9799939 0.9605931
#> 773 -2.8154048356 0.001 1 0.8722328 0.7769563
#> 774 0.4269777369 0.001 3 0.9098984 0.8359574
#> 775 0.1629560577 0.001 3 0.9836301 0.9676644
#> 776 1.9103834886 0.001 4 0.9982441 0.9964945
#> 777 -1.6463838115 0.001 2 0.8278796 0.7146553
#> 778 -0.9868397887 0.001 2 0.9488940 0.9029783
#> 779 -1.2188597963 0.001 2 0.9815581 0.9636378
#> 780 -0.8505560122 0.001 2 0.8875504 0.8003828
#> 781 2.5013359441 0.001 4 0.9997695 0.9995392
#> 782 -0.1536729551 0.001 3 0.9014853 0.8223438
#> 783 -0.4487416514 0.001 3 0.5745185 0.5111040
#> 784 3.0972317782 0.001 4 0.9998122 0.9996246
#> 785 -1.1336300491 0.001 2 0.9773932 0.9557076
#> 786 -0.2679364141 0.001 3 0.8055672 0.6867284
#> 787 -0.0194426907 0.001 3 0.9622645 0.9272945
#> 788 0.6973601372 0.001 3 0.6386079 0.5384117
#> 789 1.0154966941 0.001 4 0.7593452 0.6345197
#> 790 1.1096219488 0.001 4 0.8399241 0.7310968
#> 791 0.0062264404 0.001 3 0.9688039 0.9394622
#> 792 -0.1480962702 0.001 3 0.9050475 0.8280883
#> 793 0.9172724658 0.001 4 0.6517889 0.5460789
#> 794 -0.9393664577 0.001 2 0.9322175 0.8736029
#> 795 0.8819725404 0.001 4 0.6081284 0.5233821
#> 796 0.3113757669 0.001 3 0.9611783 0.9252564
#> 797 -0.8130445857 0.001 2 0.8624729 0.7627684
#> 798 -0.4610423557 0.001 3 0.5567099 0.5064303
#> 799 -0.3737422586 0.001 3 0.6793052 0.5642959
#> 800 0.1062610728 0.001 3 0.9827362 0.9659455
#> 801 -0.2320947171 0.001 3 0.8404350 0.7317722
#> 802 0.0390227453 0.001 3 0.9752690 0.9516577
#> 803 -0.0351534121 0.001 3 0.9575624 0.9186501
#> 804 -0.0839244135 0.001 3 0.9391948 0.8857253
#> 805 -0.4085745410 0.001 3 0.6316872 0.5346798
#> 806 -0.3025915749 0.001 3 0.7678181 0.6434429
#> 807 -1.1218695314 0.001 2 0.9761632 0.9533690
#> 808 1.9715282867 0.001 4 0.9987093 0.9974219
#> 809 -0.1079605175 0.001 3 0.9278272 0.8660215
#> 810 0.3305676345 0.001 3 0.9550756 0.9140788
#> 811 0.0614482937 0.001 3 0.9785785 0.9579638
#> 812 1.1397538121 0.001 4 0.8609661 0.7605930
#> 813 -0.8508943848 0.001 2 0.8877587 0.8007059
#> 814 2.1209685450 0.001 4 0.9993349 0.9986706
#> 815 0.2814016179 0.001 3 0.9690545 0.9399022
#> 816 -0.4469378592 0.001 3 0.5771214 0.5118934
#> 817 -0.8299328691 0.001 2 0.8742589 0.7801335
#> 818 -0.7708579293 0.001 2 0.8293295 0.7169132
#> 819 -0.4140834043 0.001 3 0.6239654 0.5307318
#> 820 0.1435589116 0.001 3 0.9838617 0.9681147
#> 821 1.4799263486 0.001 4 0.9784191 0.9577696
#> 822 1.4358110889 0.001 4 0.9719436 0.9454615
#> 823 -0.3131209344 0.001 3 0.7556029 0.6306565
#> 824 0.4432719204 0.001 3 0.8996125 0.8193099
#> 825 0.1032891010 0.001 3 0.9825568 0.9655998
#> 826 0.0408912284 0.001 3 0.9755784 0.9522453
#> 827 -1.2364835950 0.001 2 0.9813647 0.9632525
#> 828 1.2210465028 0.001 4 0.9071059 0.8314704
#> 829 1.5670758104 0.001 4 0.9872451 0.9748156
#> 830 -0.1417555670 0.001 3 0.9089774 0.8344846
#> 831 -0.5372127557 0.001 2 0.5537557 0.5057788
#> 832 -0.1768628444 0.001 3 0.8855865 0.7973227
#> 833 0.4603480619 0.001 3 0.8879482 0.8009429
#> 834 -0.4165021351 0.001 3 0.6205618 0.5290673
#> 835 0.7734430879 0.001 3 0.5360971 0.5025995
#> 836 1.2484551332 0.001 4 0.9194867 0.8519381
#> 837 -0.8104598483 0.001 2 0.8605949 0.7600527
#> 838 -0.1462361104 0.001 3 0.9062138 0.8299801
#> 839 0.8168916055 0.001 4 0.5228106 0.5010367
#> 840 0.2685174023 0.001 3 0.9718595 0.9451779
#> 841 0.1899361280 0.001 3 0.9823641 0.9652174
#> 842 1.0431050802 0.001 4 0.7853433 0.6628415
#> 843 -0.1956733530 0.001 3 0.8713752 0.7758122
#> 844 -0.1616408550 0.001 3 0.8962213 0.8139477
#> 845 -0.8038726205 0.001 2 0.8557221 0.7530722
#> 846 1.2574785122 0.001 4 0.9232465 0.8582753
#> 847 2.4725822798 0.001 4 0.9997578 0.9995158
#> 848 1.8483815329 0.001 4 0.9975557 0.9951234
#> 849 -0.0806645686 0.001 3 0.9406132 0.8882199
#> 850 -1.3823531418 0.001 2 0.9632971 0.9290157
#> 851 -1.5847760911 0.001 2 0.8725808 0.7772839
#> 852 -0.2577403799 0.001 3 0.8159277 0.6996051
#> 853 -0.6918893589 0.001 2 0.7526198 0.6276327
#> 854 -1.5689555033 0.001 2 0.8828188 0.7927538
#> 855 -3.5953856167 0.001 1 0.9034318 0.8244619
#> 856 0.3381859469 0.001 3 0.9524070 0.9092378
#> 857 0.0285419746 0.001 3 0.9734207 0.9481544
#> 858 0.3188017181 0.001 3 0.9589188 0.9211007
#> 859 -4.0000000000 0.001 1 0.5079783 0.4893291
#> 860 -1.1242948688 0.001 2 0.9764287 0.9538734
#> 861 1.2807040890 0.001 4 0.9322416 0.8736657
#> 862 2.1312592201 0.001 4 0.9993612 0.9987233
#> 863 0.0978693588 0.001 3 0.9821954 0.9649037
#> 864 0.3039163204 0.001 3 0.9633215 0.9292172
#> 865 0.5463465442 0.001 3 0.8152913 0.6987780
#> 866 -1.2283329976 0.001 2 0.9815009 0.9635209
#> 867 -0.4528247214 0.001 3 0.5686177 0.5094149
#> 868 0.7584606738 0.001 3 0.5564967 0.5063764
#> 869 0.6183357996 0.001 3 0.7375823 0.6128671
#> 870 0.0058788437 0.001 3 0.9687243 0.9393131
#> 871 0.3236285617 0.001 3 0.9573830 0.9182875
#> 872 -0.1904105795 0.001 3 0.8754718 0.7819302
#> 873 0.9148252131 0.001 4 0.6488388 0.5443051
#> 874 -0.6206874593 0.001 2 0.6677849 0.5563032
#> 875 0.3883892197 0.001 3 0.9310824 0.8715746
#> 876 1.6192295149 0.001 4 0.9907020 0.9815770
#> 877 -0.9299956541 0.001 2 0.9283772 0.8669949
#> 878 -0.7916596707 0.001 2 0.8463424 0.7399025
#> 879 0.3933397836 0.001 3 0.9286075 0.8673210
#> 880 1.1060805855 0.001 4 0.8373021 0.7275454
#> 881 2.9049064487 0.001 4 0.9998263 0.9996527
#> 882 0.5839894620 0.001 3 0.7764111 0.6527759
#> 883 0.1036763466 0.001 3 0.9825810 0.9656464
#> 884 -0.1291133296 0.001 3 0.9164362 0.8467941
#> 885 -1.3766827005 0.001 2 0.9646379 0.9315076
#> 886 3.1421694789 0.001 4 0.9998059 0.9996118
#> 887 -1.4113707165 0.001 2 0.9555180 0.9147040
#> 888 0.3055476821 0.001 3 0.9628642 0.9283706
#> 889 0.7318901963 0.001 3 0.5925244 0.5171122
#> 890 1.1871834018 0.001 4 0.8896775 0.8036972
#> 891 0.0389265154 0.001 3 0.9752535 0.9516281
#> 892 0.4185586422 0.001 3 0.9148973 0.8442005
#> 893 0.1950554973 0.001 3 0.9819965 0.9645085
#> 894 0.9884105776 0.001 4 0.7319631 0.6076135
#> 895 -0.6662360586 0.001 2 0.7236569 0.6000442
#> 896 1.3217025777 0.001 4 0.9459122 0.8976753
#> 897 -1.2882261543 0.001 2 0.9785284 0.9577697
#> 898 0.2013237295 0.001 3 0.9814904 0.9635333
#> 899 0.1332829553 0.001 3 0.9837584 0.9679161
#> 900 0.2926797570 0.001 3 0.9663181 0.9347858
#> 901 -1.2435414888 0.001 2 0.9811764 0.9628848
#> 902 -0.1787587194 0.001 3 0.8842079 0.7952008
#> 903 0.7953145558 0.001 3 0.5063489 0.5000754
#> 904 0.4713526297 0.001 3 0.8799523 0.7886665
#> 905 0.7703903426 0.001 3 0.5402541 0.5032342
#> 906 -0.4641634269 0.001 3 0.5521775 0.5054433
#> 907 -0.0731274917 0.001 3 0.9437835 0.8938250
#> 908 -1.6542132402 0.001 2 0.8216838 0.7066057
#> 909 1.6274653914 0.001 4 0.9911536 0.9824638
#> 910 -1.2745519560 0.001 2 0.9796227 0.9598766
#> 911 1.1249609071 0.001 4 0.8509140 0.7462813
#> 912 1.3014329357 0.001 4 0.9394888 0.8863008
#> 913 -0.1668918854 0.001 3 0.8926392 0.8082975
#> 914 0.7891825346 0.001 3 0.5146774 0.5004253
#> 915 0.2104308946 0.001 3 0.9806419 0.9619009
#> 916 -0.6162989578 0.001 2 0.6621274 0.5525702
#> 917 -1.6865727649 0.001 2 0.7950236 0.6737223
#> 918 0.4534207583 0.001 3 0.8927887 0.8084989
#> 919 0.9692386872 0.001 4 0.7114970 0.5894616
#> 920 -0.5386559406 0.001 2 0.5558177 0.5062307
#> 921 -0.1591978847 0.001 3 0.8978571 0.8165450
#> 922 -0.6589465688 0.001 2 0.7150849 0.5925225
#> 923 0.1912015888 0.001 3 0.9822769 0.9650492
#> 924 -0.4865636911 0.001 3 0.5195668 0.5007644
#> 925 -1.5169203187 0.001 2 0.9127578 0.8404040
#> 926 -1.2238381997 0.001 2 0.9815377 0.9635949
#> 927 0.7834067841 0.001 3 0.5225323 0.5010095
#> 928 -0.6445053229 0.001 2 0.6976749 0.5781503
#> 929 -1.5129393324 0.001 2 0.9147998 0.8437848
#> 930 0.7767960205 0.001 3 0.5315310 0.5019822
#> 931 1.3677395557 0.001 4 0.9583009 0.9200795
#> 932 -0.5181648736 0.001 2 0.5263571 0.5013886
#> 933 -1.3258011386 0.001 2 0.9741472 0.9493953
#> 934 -0.3788122246 0.001 3 0.6725195 0.5595215
#> 935 -1.7707748473 0.001 2 0.7191026 0.5956609
#> 936 0.8295082817 0.001 4 0.5397156 0.5031514
#> 937 0.0736290082 0.001 3 0.9800231 0.9607298
#> 938 0.9758288268 0.001 4 0.7186310 0.5955987
#> 939 1.8480571233 0.001 4 0.9975511 0.9951141
#> 940 -0.0133681029 0.001 3 0.9639368 0.9303899
#> 941 -1.1958454193 0.001 2 0.9812566 0.9630737
#> 942 -0.7395126869 0.001 2 0.8011802 0.6814173
#> 943 0.7502452471 0.001 3 0.5676662 0.5091495
#> 944 -0.6788508742 0.001 2 0.7381367 0.6134175
#> 945 -1.0163828907 0.001 2 0.9571811 0.9179860
#> 946 0.0251941707 0.001 3 0.9727880 0.9469581
#> 947 -0.8226211656 0.001 2 0.8692553 0.7726935
#> 948 -0.8554401885 0.001 2 0.8905252 0.8050116
#> 949 0.0323880653 0.001 3 0.9741222 0.9494824
#> 950 0.0850243946 0.001 3 0.9811588 0.9629098
#> 951 -0.0793214381 0.001 3 0.9411892 0.8892354
#> 952 0.2872075816 0.001 3 0.9676783 0.9373252
#> 953 -0.6758799673 0.001 2 0.7347676 0.6102310
#> 954 -2.3934600231 0.001 1 0.7632325 0.6384497
#> 955 0.1255486949 0.001 3 0.9835766 0.9675658
#> 956 0.6185541787 0.001 3 0.7373255 0.6126231
#> 957 0.2713999829 0.001 3 0.9712609 0.9440494
#> 958 -0.4139832254 0.001 3 0.6241063 0.5308017
#> 959 0.7221259501 0.001 3 0.6056649 0.5223199
#> 960 0.4819152454 0.001 3 0.8719137 0.7765820
#> 961 0.1121141620 0.001 3 0.9830501 0.9665506
#> 962 -0.8709011073 0.001 2 0.8995209 0.8192240
#> 963 -0.5339051640 0.001 2 0.5490212 0.5048056
#> 964 1.1906832401 0.001 4 0.8915931 0.8066903
#> 965 -0.3825694779 0.001 3 0.6674567 0.5560792
#> 966 -0.8616589904 0.001 2 0.8942208 0.8108112
#> 967 0.9796699279 0.001 4 0.7227415 0.5992272
#> 968 -0.1782422963 0.001 3 0.8845846 0.7957799
#> 969 1.0469892678 0.001 4 0.7888442 0.6668619
#> 970 0.2811391349 0.001 3 0.9691137 0.9400132
#> 971 -1.2880536969 0.001 2 0.9785437 0.9577989
#> 972 0.0333280321 0.001 3 0.9742892 0.9497989
#> 973 -0.2569994350 0.001 3 0.8166667 0.7005398
#> 974 1.3894112125 0.001 4 0.9631930 0.9290956
#> 975 -0.9968504403 0.001 2 0.9518680 0.9083330
#> 976 1.8872956517 0.001 4 0.9980185 0.9960448
#> 977 -1.4277779160 0.001 2 0.9503945 0.9054124
#> 978 -0.3788338053 0.001 3 0.6724913 0.5595020
#> 979 2.9048924184 0.001 4 0.9998263 0.9996527
#> 980 -0.5651496356 0.001 2 0.5932232 0.5173807
#> 981 0.7438276158 0.001 3 0.5763763 0.5116583
#> 982 1.3977206450 0.001 4 0.9649252 0.9323109
#> 983 0.8343820028 0.001 4 0.5462080 0.5042674
#> 984 0.2773495254 0.001 3 0.9699722 0.9416248
#> 985 -0.7339024885 0.001 2 0.7958231 0.6750210
#> 986 0.3338417043 0.001 3 0.9539454 0.9120251
#> 987 0.9713574552 0.001 4 0.7137969 0.5914179
#> 988 -2.1352394760 0.001 1 0.6123830 0.5250448
#> 989 0.7055119999 0.001 3 0.6278354 0.5326720
#> 990 -0.2176876937 0.001 3 0.8532178 0.7495033
#> 991 1.5535784532 0.001 4 0.9861585 0.9727002
#> 992 1.1082728710 0.001 4 0.8389288 0.7297455
#> 993 -0.9111795827 0.001 2 0.9200944 0.8529429
#> 994 0.6079440784 0.001 3 0.7496437 0.6246184
#> 995 -0.1731311870 0.001 3 0.8882643 0.8014662
#> 996 0.5554467733 0.001 3 0.8062677 0.6875629
#> 997 -0.7452989644 0.001 2 0.8066061 0.6880127
#> 998 -0.1057905389 0.001 3 0.9289209 0.8678947
#> 999 0.1312222453 0.001 3 0.9837188 0.9678398
#> 1000 0.2365478775 0.001 3 0.9774392 0.9557664
#>
#> $prob.level
#> theta weights level p.level.1 p.level.2 p.level.3
#> 1 -1.7022049518 0.001 2 2.175940e-01 7.815904e-01 0.0008156023
#> 2 1.9309372265 0.001 4 5.348266e-25 1.113872e-10 0.0015798831
#> 3 -0.6884935308 0.001 2 1.514488e-06 7.488946e-01 0.2511038283
#> 4 -0.9641337052 0.001 2 2.307992e-04 9.414644e-01 0.0583047881
#> 5 -4.0000000000 0.001 1 5.079783e-01 5.981822e-03 0.0051817543
#> 6 -0.2909987604 0.001 3 1.156050e-10 2.191024e-01 0.7808716235
#> 7 -0.4891721357 0.001 3 1.733377e-08 4.842328e-01 0.5157659244
#> 8 -0.5821356777 0.001 2 1.512073e-07 6.166557e-01 0.3833438909
#> 9 -0.0892825678 0.001 3 5.102972e-13 6.274496e-02 0.9368006804
#> 10 0.0693812937 0.001 3 7.213809e-15 1.714857e-02 0.9795469205
#> 11 -0.5200343565 0.001 2 3.610065e-08 5.290592e-01 0.4709400142
#> 12 -1.7154652250 0.001 2 2.293074e-01 7.699197e-01 0.0007729367
#> 13 -0.5515079142 0.001 2 7.519632e-08 5.740764e-01 0.4259230588
#> 14 -0.4079631799 0.001 3 2.355071e-09 3.674543e-01 0.6325413153
#> 15 -0.3017794362 0.001 3 1.534814e-10 2.312325e-01 0.7687453946
#> 16 -0.8402473446 0.001 2 2.867198e-05 8.810520e-01 0.1189193655
#> 17 1.1602975497 0.001 4 4.617946e-24 6.473194e-08 0.1259564431
#> 18 0.3379523273 0.001 3 8.933837e-18 1.148116e-03 0.9524906167
#> 19 0.3853838696 0.001 3 3.028817e-18 6.782732e-04 0.9325506092
#> 20 -0.2346782158 0.001 3 2.590570e-11 1.618722e-01 0.8380682987
#> 21 0.3493597292 0.001 3 6.865728e-18 1.012644e-03 0.9482334420
#> 22 2.1271587725 0.001 4 7.441606e-24 9.636152e-11 0.0006489913
#> 23 0.8859829962 0.001 4 2.332665e-22 1.767936e-06 0.3867997980
#> 24 -0.2833308148 0.001 3 9.443890e-11 2.106973e-01 0.7892736092
#> 25 -1.3141771454 0.001 2 1.791595e-02 9.757262e-01 0.0063578536
#> 26 -0.8049597496 0.001 2 1.501896e-05 8.565345e-01 0.1434505166
#> 27 0.0539574844 0.001 3 1.084708e-14 1.967195e-02 0.9775686152
#> 28 0.1434565567 0.001 3 1.046893e-15 8.603571e-03 0.9838616426
#> 29 0.1955349967 0.001 3 2.789604e-16 5.151932e-03 0.9819594818
#> 30 0.6062732061 0.001 3 3.052763e-20 5.208807e-05 0.7515585228
#> 31 0.6412433867 0.001 3 1.572209e-20 3.428403e-05 0.7101142497
#> 32 1.9631257838 0.001 4 7.600894e-25 1.039248e-10 0.0013448996
#> 33 -0.2364071734 0.001 3 2.713268e-11 1.634710e-01 0.8364709995
#> 34 -1.2760793477 0.001 2 1.241534e-02 9.795141e-01 0.0080705442
#> 35 -0.6227160164 0.001 2 3.724814e-07 6.703856e-01 0.3296139077
#> 36 -0.5986602487 0.001 2 2.190515e-07 6.389502e-01 0.3610493660
#> 37 -0.0279521619 0.001 3 9.710404e-14 3.920248e-02 0.9597865695
#> 38 -0.8038382718 0.001 2 1.470495e-05 8.556983e-01 0.1442869889
#> 39 0.7713440944 0.001 3 1.534294e-21 7.127053e-06 0.5389556264
#> 40 -0.9108408363 0.001 2 9.745104e-05 9.199373e-01 0.0799651982
#> 41 0.2385919179 0.001 3 9.571322e-17 3.318864e-03 0.9771391745
#> 42 -0.1825635620 0.001 3 6.384277e-12 1.184689e-01 0.8814053631
#> 43 0.6255520547 0.001 3 2.112518e-20 4.137075e-05 0.7290558987
#> 44 -2.0376729826 0.001 1 5.333903e-01 4.662969e-01 0.0003128743
#> 45 -0.3395978855 0.001 3 4.114865e-10 2.765261e-01 0.7234613565
#> 46 0.5578369336 0.001 3 7.868869e-20 9.258192e-05 0.8038573547
#> 47 -0.7302539517 0.001 2 3.544287e-06 7.922867e-01 0.2077097021
#> 48 0.1511899391 0.001 3 8.586280e-16 7.983873e-03 0.9838375050
#> 49 0.5000714106 0.001 3 2.541805e-19 1.823977e-04 0.8572751664
#> 50 -0.9458442007 0.001 2 1.726862e-04 9.347577e-01 0.0650696158
#> 51 -0.7503662076 0.001 2 5.281811e-06 8.112711e-01 0.1887235595
#> 52 0.2124430222 0.001 3 1.827129e-16 4.341700e-03 0.9804360111
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#> 248 1.9253342869 0.001 4 5.030377e-25 1.127944e-10 0.0016251549
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#> 252 0.1831706510 0.001 3 3.807082e-16 5.830183e-03 0.9827864950
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#> 254 0.5720840677 0.001 3 5.936975e-20 7.821881e-05 0.7891446846
#> 255 -0.0226378517 0.001 3 8.414784e-14 3.756571e-02 0.9613527977
#> 256 0.8601943991 0.001 4 3.520755e-22 2.420136e-06 0.4198337798
#> 257 0.0223630756 0.001 3 2.514821e-14 2.587270e-02 0.9722367462
#> 258 0.0289207567 0.001 3 2.110793e-14 2.446208e-02 0.9734910356
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#> 261 0.4105941928 0.001 3 1.726781e-18 5.104716e-04 0.9194287264
#> 262 2.2933995043 0.001 4 1.442446e-22 1.359530e-10 0.0003683072
#> 263 -0.3967745715 0.001 3 1.776490e-09 3.519280e-01 0.6480667352
#> 264 -0.1554907053 0.001 3 3.070921e-12 9.951349e-02 0.9003025361
#> 265 -0.2451382300 0.001 3 3.426026e-11 1.716991e-01 0.8282497886
#> 266 0.2919413215 0.001 3 2.635093e-17 1.891326e-03 0.9665043484
#> 267 0.0850646736 0.001 3 4.774254e-15 1.488013e-02 0.9811624421
#> 268 0.4199989043 0.001 3 1.404414e-18 4.588291e-04 0.9140556353
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#> 492 0.3036913969 0.001 3 1.991206e-17 1.666676e-03 0.9633858667
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#> 501 -1.9256695077 0.001 2 4.304980e-01 5.691102e-01 0.0003917418
#> 502 0.5652663720 0.001 3 6.788279e-20 8.478866e-05 0.7962591075
#> 503 0.5064591181 0.001 3 2.228863e-19 1.693206e-04 0.8518742522
#> 504 0.1867244541 0.001 3 3.480534e-16 5.627184e-03 0.9825734517
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#> 555 1.1620761031 0.001 4 4.518109e-24 6.339773e-08 0.1248722560
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#> 562 -0.0786070138 0.001 3 3.820750e-13 5.798265e-02 0.9414936883
#> 563 -0.7866023346 0.001 2 1.063387e-05 8.423274e-01 0.1576619423
#> 564 0.3002422488 0.001 3 2.162252e-17 1.729934e-03 0.9643316984
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#> 691 0.0007177492 0.001 3 4.489748e-14 3.103589e-02 0.9675148390
#> 692 0.5159991897 0.001 3 1.831729e-19 1.514509e-04 0.8435727400
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#> 694 0.7393587158 0.001 3 2.666431e-21 1.050400e-05 0.5824302300
#> 695 0.3584779161 0.001 3 5.569774e-18 9.154878e-04 0.9445917713
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#> 697 -0.9542873621 0.001 2 1.975590e-04 9.379394e-01 0.0618630203
#> 698 0.6716950546 0.001 3 8.947242e-21 2.378212e-05 0.6719545970
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#> 912 1.3014329357 0.001 4 9.085819e-25 1.271741e-08 0.0605111669
#> 913 -0.1668918854 0.001 3 4.180405e-12 1.072039e-01 0.8926392102
#> 914 0.7891825346 0.001 3 1.133145e-21 5.738808e-06 0.5146773893
#> 915 0.2104308946 0.001 3 1.920932e-16 4.431454e-03 0.9806418717
#> 916 -0.6162989578 0.001 2 3.235975e-07 6.621274e-01 0.3378721106
#> 917 -1.6865727649 0.001 2 2.041054e-01 7.950236e-01 0.0008709678
#> 918 0.4534207583 0.001 3 6.809108e-19 3.131523e-04 0.8927886714
#> 919 0.9692386872 0.001 4 6.479778e-23 6.420524e-07 0.2885024005
#> 920 -0.5386559406 0.001 2 5.581833e-08 5.558177e-01 0.4441816118
#> 921 -0.1591978847 0.001 3 3.395070e-12 1.019682e-01 0.8978571425
#> 922 -0.6589465688 0.001 2 8.139551e-07 7.150849e-01 0.2849141859
#> 923 0.1912015888 0.001 3 3.109613e-16 5.380770e-03 0.9822769115
#> 924 -0.4865636911 0.001 3 1.627776e-08 4.804318e-01 0.5195668269
#> 925 -1.5169203187 0.001 2 8.528362e-02 9.127578e-01 0.0019585376
#> 926 -1.2238381997 0.001 2 7.209370e-03 9.815377e-01 0.0112529022
#> 927 0.7834067841 0.001 3 1.249711e-21 6.156207e-06 0.5225322582
#> 928 -0.6445053229 0.001 2 5.976927e-07 6.976749e-01 0.3023243696
#> 929 -1.5129393324 0.001 2 8.319934e-02 9.147998e-01 0.0020008386
#> 930 0.7767960205 0.001 3 1.398176e-21 6.670748e-06 0.5315309559
#> 931 1.3677395557 0.001 4 4.820394e-25 6.146859e-09 0.0416990721
#> 932 -0.5181648736 0.001 2 3.454668e-08 5.263571e-01 0.4736420768
#> 933 -1.3258011386 0.001 2 1.993735e-02 9.741472e-01 0.0059154582
#> 934 -0.3788122246 0.001 3 1.126689e-09 3.274736e-01 0.6725195482
#> 935 -1.7707748473 0.001 2 2.802712e-01 7.191026e-01 0.0006261721
#> 936 0.8295082817 0.001 4 5.788456e-22 3.514486e-06 0.4602808362
#> 937 0.0736290082 0.001 3 6.449908e-15 1.650591e-02 0.9800231340
#> 938 0.9758288268 0.001 4 5.879821e-23 5.928334e-07 0.2813683619
#> 939 1.8480571233 0.001 4 2.558753e-25 1.452815e-10 0.0024489309
#> 940 -0.0133681029 0.001 3 6.555997e-14 3.484762e-02 0.9639367660
#> 941 -1.1958454193 0.001 2 5.279636e-03 9.812566e-01 0.0134637596
#> 942 -0.7395126869 0.001 2 4.263254e-06 8.011802e-01 0.1988155262
#> 943 0.7502452471 0.001 3 2.206672e-21 9.206267e-06 0.5676661923
#> 944 -0.6788508742 0.001 2 1.238677e-06 7.381367e-01 0.2618620065
#> 945 -1.0163828907 0.001 2 5.101536e-04 9.571811e-01 0.0423087041
#> 946 0.0251941707 0.001 3 2.331665e-14 2.525537e-02 0.9727879763
#> 947 -0.8226211656 0.001 2 2.081826e-05 8.692553e-01 0.1307238828
#> 948 -0.8554401885 0.001 2 3.759714e-05 8.905252e-01 0.1094372230
#> 949 0.0323880653 0.001 3 1.924340e-14 2.374349e-02 0.9741222346
#> 950 0.0850243946 0.001 3 4.779370e-15 1.488562e-02 0.9811587663
#> 951 -0.0793214381 0.001 3 3.895462e-13 5.829205e-02 0.9411892284
#> 952 0.2872075816 0.001 3 2.949571e-17 1.989522e-03 0.9676782656
#> 953 -0.6758799673 0.001 2 1.163910e-06 7.347676e-01 0.2652311171
#> 954 -2.3934600231 0.001 1 7.632325e-01 2.364863e-01 0.0002811356
#> 955 0.1255486949 0.001 3 1.661339e-15 1.021005e-02 0.9835766211
#> 956 0.6185541787 0.001 3 2.413523e-20 4.498383e-05 0.7373254567
#> 957 0.2713999829 0.001 3 4.309680e-17 2.353654e-03 0.9712608509
#> 958 -0.4139832254 0.001 3 2.738743e-09 3.758896e-01 0.6241063333
#> 959 0.7221259501 0.001 3 3.607096e-21 1.293847e-05 0.6056648979
#> 960 0.4819152454 0.001 3 3.716036e-19 2.253049e-04 0.8719137062
#> 961 0.1121141620 0.001 3 2.353982e-15 1.158807e-02 0.9830501331
#> 962 -0.8709011073 0.001 2 4.933031e-05 8.995209e-01 0.1004297489
#> 963 -0.5339051640 0.001 2 4.997321e-08 5.490212e-01 0.4509780919
#> 964 1.1906832401 0.001 4 3.168597e-24 4.529304e-08 0.1084068480
#> 965 -0.3825694779 0.001 3 1.239643e-09 3.325368e-01 0.6674567024
#> 966 -0.8616589904 0.001 2 4.195748e-05 8.942208e-01 0.1057372407
#> 967 0.9796699279 0.001 4 5.557038e-23 5.659079e-07 0.2772579840
#> 968 -0.1782422963 0.001 3 5.681245e-12 1.152817e-01 0.8845846345
#> 969 1.0469892678 0.001 4 2.101402e-23 2.506033e-07 0.2111555249
#> 970 0.2811391349 0.001 3 3.411079e-17 2.122573e-03 0.9691136912
#> 971 -1.2880536969 0.001 2 1.397087e-02 9.785437e-01 0.0074854606
#> 972 0.0333280321 0.001 3 1.877008e-14 2.355216e-02 0.9742892427
#> 973 -0.2569994350 0.001 3 4.699347e-11 1.832904e-01 0.8166666801
#> 974 1.3894112125 0.001 4 4.004020e-25 4.880800e-09 0.0368069548
#> 975 -0.9968504403 0.001 2 3.815559e-04 9.518680e-01 0.0477504253
#> 976 1.8872956517 0.001 4 3.506398e-25 1.259663e-10 0.0019815242
#> 977 -1.4277779160 0.001 2 4.639340e-02 9.503945e-01 0.0032120904
#> 978 -0.3788338053 0.001 3 1.127122e-09 3.275018e-01 0.6724912773
#> 979 2.9048924184 0.001 4 3.855508e-17 3.594972e-09 0.0001736779
#> 980 -0.5651496356 0.001 2 1.027911e-07 5.932232e-01 0.4067763240
#> 981 0.7438276158 0.001 3 2.465665e-21 9.949737e-06 0.5763763057
#> 982 1.3977206450 0.001 4 3.740322e-25 4.472267e-09 0.0350747755
#> 983 0.8343820028 0.001 4 5.348447e-22 3.312790e-06 0.4537886564
#> 984 0.2773495254 0.001 3 3.735052e-17 2.209792e-03 0.9699722010
#> 985 -0.7339024885 0.001 2 3.812528e-06 7.958231e-01 0.2041730678
#> 986 0.3338417043 0.001 3 9.826422e-18 1.201030e-03 0.9539454098
#> 987 0.9713574552 0.001 4 6.295723e-23 6.261863e-07 0.2862024285
#> 988 -2.1352394760 0.001 1 6.123830e-01 3.873394e-01 0.0002776757
#> 989 0.7055119999 0.001 3 4.849418e-21 1.581767e-05 0.6278353844
#> 990 -0.2176876937 0.001 3 1.643208e-11 1.467061e-01 0.8532178144
#> 991 1.5535784532 0.001 4 1.488014e-25 9.866148e-10 0.0138414683
#> 992 1.1082728710 0.001 4 9.074056e-24 1.200835e-07 0.1610710593
#> 993 -0.9111795827 0.001 2 9.800007e-05 9.200944e-01 0.0798076244
#> 994 0.6079440784 0.001 3 2.956344e-20 5.106005e-05 0.7496436923
#> 995 -0.1731311870 0.001 3 4.948776e-12 1.115921e-01 0.8882642724
#> 996 0.5554467733 0.001 3 8.253116e-20 9.523536e-05 0.8062677162
#> 997 -0.7452989644 0.001 2 4.780029e-06 8.066061e-01 0.1933891212
#> 998 -0.1057905389 0.001 3 7.984250e-13 7.071512e-02 0.9289208564
#> 999 0.1312222453 0.001 3 1.434375e-15 9.673678e-03 0.9837187517
#> 1000 0.2365478775 0.001 3 1.006662e-16 3.389981e-03 0.9774391947
#> p.level.4
#> 1 2.748735e-11
#> 2 9.984201e-01
#> 3 5.825020e-08
#> 4 1.228691e-09
#> 5 4.808581e-01
#> 6 2.596828e-05
#> 7 1.258211e-06
#> 8 2.974450e-07
#> 9 4.543602e-04
#> 10 3.304509e-03
#> 11 7.791350e-07
#> 12 2.837608e-11
#> 13 4.781506e-07
#> 14 4.413123e-06
#> 15 2.211041e-05
#> 16 6.335530e-09
#> 17 8.740435e-01
#> 18 4.636127e-02
#> 19 6.677112e-02
#> 20 5.949324e-05
#> 21 5.075391e-02
#> 22 9.993510e-01
#> 23 6.131984e-01
#> 24 2.910343e-05
#> 25 4.898992e-11
#> 26 1.043374e-08
#> 27 2.759438e-03
#> 28 7.534787e-03
#> 29 1.288859e-02
#> 30 2.483894e-01
#> 31 2.898515e-01
#> 32 9.986551e-01
#> 33 5.801630e-05
#> 34 6.154133e-11
#> 35 1.589451e-07
#> 36 2.304057e-07
#> 37 1.010952e-03
#> 38 1.059875e-08
#> 39 4.610372e-01
#> 40 2.427994e-09
#> 41 1.954196e-02
#> 42 1.257415e-04
#> 43 2.709027e-01
#> 44 1.379462e-10
#> 45 1.252133e-05
#> 46 1.960501e-01
#> 47 3.109080e-08
#> 48 8.178622e-03
#> 49 1.425424e-01
#> 50 1.544507e-09
#> 51 2.308445e-08
#> 52 1.522229e-02
#> 53 2.119620e-01
#> 54 9.930207e-01
#> 55 2.513685e-06
#> 56 5.119700e-01
#> 57 1.441661e-01
#> 58 1.463281e-10
#> 59 3.773252e-07
#> 60 2.797052e-05
#> 61 3.066901e-02
#> 62 6.599262e-01
#> 63 8.104698e-01
#> 64 5.734922e-04
#> 65 8.634952e-01
#> 66 1.101040e-01
#> 67 9.978709e-01
#> 68 2.385181e-11
#> 69 2.048449e-01
#> 70 3.569721e-01
#> 71 1.178896e-06
#> 72 2.574151e-02
#> 73 1.338104e-07
#> 74 2.337759e-05
#> 75 2.251185e-03
#> 76 1.311868e-08
#> 77 2.043294e-09
#> 78 3.318728e-05
#> 79 3.665196e-01
#> 80 7.161184e-06
#> 81 9.118288e-03
#> 82 1.778776e-10
#> 83 4.784377e-07
#> 84 9.617593e-01
#> 85 5.493859e-03
#> 86 5.861064e-01
#> 87 8.494498e-07
#> 88 9.970124e-01
#> 89 7.078316e-10
#> 90 7.055838e-10
#> 91 1.884707e-02
#> 92 2.345915e-10
#> 93 3.194897e-01
#> 94 1.023030e-01
#> 95 8.694835e-01
#> 96 4.463443e-04
#> 97 3.903390e-01
#> 98 3.369320e-08
#> 99 3.478918e-07
#> 100 3.054490e-11
#> 101 9.970947e-01
#> 102 8.383728e-02
#> 103 9.638549e-01
#> 104 9.835868e-06
#> 105 4.648865e-04
#> 106 1.771452e-01
#> 107 2.602983e-07
#> 108 2.093960e-01
#> 109 2.390343e-11
#> 110 8.816725e-01
#> 111 2.944171e-03
#> 112 6.534476e-05
#> 113 1.950349e-08
#> 114 4.174499e-01
#> 115 4.216372e-11
#> 116 2.450307e-11
#> 117 2.372647e-07
#> 118 1.955209e-04
#> 119 6.420594e-02
#> 120 8.728483e-01
#> 121 1.607839e-04
#> 122 3.443534e-01
#> 123 5.280233e-03
#> 124 2.750933e-11
#> 125 2.086791e-08
#> 126 9.990573e-01
#> 127 1.077220e-03
#> 128 9.975112e-01
#> 129 2.392631e-11
#> 130 1.997004e-04
#> 131 8.599305e-01
#> 132 1.763943e-03
#> 133 3.155084e-09
#> 134 9.877525e-01
#> 135 3.226983e-05
#> 136 2.134789e-01
#> 137 1.440447e-02
#> 138 1.557859e-01
#> 139 8.463252e-11
#> 140 3.159062e-02
#> 141 7.923660e-01
#> 142 1.145460e-06
#> 143 9.761374e-01
#> 144 9.784091e-01
#> 145 1.065687e-09
#> 146 1.307665e-08
#> 147 2.563971e-11
#> 148 2.378820e-04
#> 149 1.130373e-08
#> 150 8.067258e-11
#> 151 2.285358e-02
#> 152 3.491186e-01
#> 153 3.760082e-07
#> 154 1.139192e-07
#> 155 1.046837e-03
#> 156 7.041489e-01
#> 157 3.502998e-04
#> 158 4.614075e-10
#> 159 2.433615e-02
#> 160 7.586418e-04
#> 161 3.942749e-10
#> 162 7.569137e-01
#> 163 1.154731e-10
#> 164 2.924006e-01
#> 165 3.770954e-08
#> 166 1.183952e-06
#> 167 1.615490e-09
#> 168 8.966408e-01
#> 169 2.890861e-09
#> 170 4.287810e-01
#> 171 4.834255e-08
#> 172 1.113886e-02
#> 173 3.452128e-06
#> 174 8.475134e-06
#> 175 1.445412e-01
#> 176 8.772315e-01
#> 177 1.910101e-10
#> 178 1.361443e-02
#> 179 9.988395e-01
#> 180 6.944019e-09
#> 181 4.438672e-11
#> 182 5.154943e-11
#> 183 5.675610e-08
#> 184 4.820432e-06
#> 185 1.286735e-08
#> 186 1.163132e-08
#> 187 2.786773e-02
#> 188 4.280028e-01
#> 189 9.749516e-01
#> 190 5.476884e-01
#> 191 9.940006e-01
#> 192 2.690887e-06
#> 193 9.987760e-01
#> 194 1.930126e-01
#> 195 1.453319e-01
#> 196 4.582217e-03
#> 197 4.172416e-01
#> 198 7.732509e-02
#> 199 2.699507e-11
#> 200 6.355781e-09
#> 201 8.498930e-06
#> 202 2.976650e-03
#> 203 8.843472e-01
#> 204 2.471334e-11
#> 205 2.889263e-09
#> 206 9.709332e-01
#> 207 7.747599e-07
#> 208 1.107364e-10
#> 209 9.531031e-01
#> 210 5.369053e-02
#> 211 7.668008e-03
#> 212 5.114648e-05
#> 213 8.066811e-04
#> 214 2.866201e-09
#> 215 1.409157e-01
#> 216 9.991523e-01
#> 217 2.404841e-05
#> 218 9.997210e-01
#> 219 5.356842e-03
#> 220 1.208528e-10
#> 221 4.981360e-01
#> 222 6.842760e-11
#> 223 8.213628e-01
#> 224 7.814189e-06
#> 225 7.101798e-02
#> 226 3.613317e-05
#> 227 3.832164e-05
#> 228 4.584621e-01
#> 229 9.994589e-01
#> 230 2.519385e-11
#> 231 3.252046e-02
#> 232 1.833038e-04
#> 233 4.443100e-01
#> 234 6.197909e-11
#> 235 7.645194e-09
#> 236 3.960920e-11
#> 237 5.976556e-08
#> 238 9.241438e-01
#> 239 3.969661e-07
#> 240 4.269561e-08
#> 241 4.989392e-02
#> 242 3.520891e-05
#> 243 8.133120e-02
#> 244 2.926843e-02
#> 245 1.800895e-04
#> 246 1.639452e-01
#> 247 1.412986e-07
#> 248 9.983748e-01
#> 249 4.893297e-01
#> 250 1.551374e-02
#> 251 1.387884e-04
#> 252 1.138332e-02
#> 253 1.669375e-03
#> 254 2.107771e-01
#> 255 1.081496e-03
#> 256 5.801638e-01
#> 257 1.890552e-03
#> 258 2.046883e-03
#> 259 2.800604e-11
#> 260 3.107392e-11
#> 261 8.006080e-02
#> 262 9.996317e-01
#> 263 5.239683e-06
#> 264 1.839754e-04
#> 265 5.108126e-05
#> 266 3.160433e-02
#> 267 3.957425e-03
#> 268 8.548554e-02
#> 269 9.996664e-01
#> 270 8.211614e-06
#> 271 1.095221e-10
#> 272 4.086534e-01
#> 273 1.766614e-02
#> 274 5.793809e-04
#> 275 1.403822e-08
#> 276 1.743721e-07
#> 277 4.767992e-01
#> 278 7.300035e-09
#> 279 9.813516e-01
#> 280 9.997319e-01
#> 281 6.869510e-04
#> 282 2.682773e-02
#> 283 2.482534e-09
#> 284 7.019532e-04
#> 285 9.296383e-01
#> 286 1.331854e-10
#> 287 9.918305e-01
#> 288 6.856832e-01
#> 289 2.671563e-11
#> 290 8.641475e-01
#> 291 7.536388e-04
#> 292 8.144344e-09
#> 293 2.473816e-02
#> 294 2.293458e-01
#> 295 1.386146e-10
#> 296 4.210125e-09
#> 297 4.034222e-09
#> 298 6.179265e-01
#> 299 1.822307e-09
#> 300 5.291373e-01
#> 301 2.621681e-11
#> 302 2.685199e-07
#> 303 2.953236e-09
#> 304 3.366915e-03
#> 305 9.980499e-01
#> 306 8.754981e-01
#> 307 1.942561e-03
#> 308 1.625761e-01
#> 309 9.994818e-01
#> 310 4.306261e-04
#> 311 1.537860e-03
#> 312 1.241302e-01
#> 313 6.454280e-01
#> 314 7.138886e-01
#> 315 2.571166e-11
#> 316 2.236348e-05
#> 317 1.851438e-09
#> 318 1.608418e-01
#> 319 6.663682e-09
#> 320 4.808581e-01
#> 321 3.773071e-01
#> 322 4.044395e-06
#> 323 2.962157e-09
#> 324 6.695340e-02
#> 325 8.187269e-09
#> 326 8.630563e-02
#> 327 4.274854e-04
#> 328 8.475498e-02
#> 329 8.891066e-01
#> 330 9.601040e-01
#> 331 8.704726e-01
#> 332 1.347902e-06
#> 333 6.630586e-07
#> 334 1.666791e-04
#> 335 2.435770e-02
#> 336 2.605616e-11
#> 337 2.069468e-06
#> 338 9.388281e-08
#> 339 5.997154e-06
#> 340 8.614737e-01
#> 341 7.787001e-07
#> 342 3.258349e-11
#> 343 2.240700e-01
#> 344 4.445335e-02
#> 345 9.990564e-01
#> 346 1.678214e-03
#> 347 2.518807e-11
#> 348 1.532683e-03
#> 349 2.498457e-11
#> 350 9.390523e-01
#> 351 4.446105e-05
#> 352 2.403644e-11
#> 353 4.650661e-04
#> 354 6.424927e-01
#> 355 1.199606e-06
#> 356 4.180817e-01
#> 357 2.312378e-08
#> 358 7.028225e-06
#> 359 5.118224e-10
#> 360 5.086859e-02
#> 361 2.554513e-10
#> 362 3.367930e-10
#> 363 6.329071e-05
#> 364 2.970342e-06
#> 365 7.636457e-01
#> 366 2.300272e-09
#> 367 6.276414e-02
#> 368 1.615781e-03
#> 369 1.575192e-01
#> 370 6.147324e-01
#> 371 2.815729e-06
#> 372 5.042249e-03
#> 373 9.445011e-01
#> 374 9.995673e-01
#> 375 6.504091e-01
#> 376 2.844192e-02
#> 377 8.343940e-03
#> 378 2.980641e-10
#> 379 1.362897e-02
#> 380 4.251699e-11
#> 381 2.470349e-09
#> 382 1.456939e-09
#> 383 1.095887e-05
#> 384 5.115565e-09
#> 385 9.984277e-01
#> 386 2.884848e-11
#> 387 1.961724e-04
#> 388 2.668756e-01
#> 389 5.403059e-02
#> 390 1.155016e-03
#> 391 5.867729e-02
#> 392 9.997525e-01
#> 393 9.982782e-01
#> 394 2.079962e-10
#> 395 6.552528e-01
#> 396 8.213276e-01
#> 397 5.293887e-04
#> 398 3.318325e-10
#> 399 7.186797e-07
#> 400 3.240249e-06
#> 401 5.599405e-03
#> 402 1.428923e-10
#> 403 2.546896e-11
#> 404 6.993062e-05
#> 405 1.879756e-04
#> 406 2.774631e-02
#> 407 1.166529e-03
#> 408 1.126664e-05
#> 409 9.991275e-01
#> 410 8.438368e-01
#> 411 8.118913e-01
#> 412 9.031655e-10
#> 413 3.661401e-01
#> 414 3.714762e-11
#> 415 6.757870e-01
#> 416 7.739486e-01
#> 417 5.287195e-03
#> 418 3.911484e-06
#> 419 9.369522e-01
#> 420 1.025097e-05
#> 421 2.735883e-02
#> 422 5.645784e-11
#> 423 1.161981e-10
#> 424 6.482699e-02
#> 425 6.043651e-05
#> 426 1.220472e-06
#> 427 1.316527e-06
#> 428 3.559274e-03
#> 429 2.901758e-10
#> 430 4.747458e-11
#> 431 2.865134e-01
#> 432 1.121682e-01
#> 433 5.474932e-03
#> 434 6.348982e-02
#> 435 1.004714e-02
#> 436 1.518349e-08
#> 437 2.146127e-07
#> 438 4.808581e-01
#> 439 2.453075e-03
#> 440 1.339387e-05
#> 441 7.162955e-07
#> 442 4.252219e-01
#> 443 1.399466e-08
#> 444 9.802013e-01
#> 445 1.062035e-02
#> 446 6.777849e-01
#> 447 4.464476e-01
#> 448 6.871381e-01
#> 449 1.392849e-03
#> 450 2.964972e-01
#> 451 5.663182e-01
#> 452 6.073883e-06
#> 453 1.706202e-05
#> 454 1.876358e-01
#> 455 1.452935e-01
#> 456 6.619046e-05
#> 457 3.036898e-01
#> 458 2.176298e-09
#> 459 3.498606e-01
#> 460 2.771547e-02
#> 461 1.186472e-08
#> 462 9.512483e-01
#> 463 1.482694e-06
#> 464 8.555646e-06
#> 465 9.891794e-01
#> 466 6.022284e-02
#> 467 1.415716e-07
#> 468 7.431390e-02
#> 469 3.154192e-06
#> 470 2.998836e-01
#> 471 2.451666e-03
#> 472 3.154065e-06
#> 473 1.090649e-01
#> 474 3.569730e-05
#> 475 6.737943e-01
#> 476 1.562875e-07
#> 477 9.996515e-01
#> 478 9.997248e-01
#> 479 4.808581e-01
#> 480 1.429518e-09
#> 481 2.426649e-02
#> 482 8.706175e-09
#> 483 9.997765e-01
#> 484 7.219325e-08
#> 485 6.539458e-01
#> 486 7.271808e-06
#> 487 7.015739e-01
#> 488 1.692122e-02
#> 489 3.796263e-11
#> 490 1.527062e-02
#> 491 4.329958e-05
#> 492 3.494746e-02
#> 493 4.582041e-05
#> 494 5.959553e-06
#> 495 2.753776e-03
#> 496 3.276968e-06
#> 497 3.467809e-01
#> 498 2.538780e-10
#> 499 3.706201e-01
#> 500 1.108105e-03
#> 501 6.765555e-11
#> 502 2.036561e-01
#> 503 1.479564e-01
#> 504 1.179936e-02
#> 505 7.764920e-03
#> 506 1.566473e-01
#> 507 2.173749e-04
#> 508 1.152375e-04
#> 509 3.948186e-10
#> 510 3.394438e-07
#> 511 1.705907e-02
#> 512 6.443490e-11
#> 513 1.811351e-05
#> 514 3.097391e-07
#> 515 8.275713e-11
#> 516 2.535627e-01
#> 517 5.112443e-08
#> 518 3.562395e-04
#> 519 5.651755e-01
#> 520 1.248676e-03
#> 521 9.041527e-07
#> 522 1.204700e-04
#> 523 1.457083e-09
#> 524 6.855174e-09
#> 525 3.554496e-01
#> 526 9.823119e-01
#> 527 2.508020e-01
#> 528 2.001236e-04
#> 529 5.333322e-06
#> 530 1.469578e-05
#> 531 3.395227e-01
#> 532 1.137617e-09
#> 533 1.899457e-09
#> 534 2.082683e-06
#> 535 1.832811e-06
#> 536 7.023372e-02
#> 537 6.313194e-11
#> 538 1.833875e-04
#> 539 4.079428e-02
#> 540 6.935209e-04
#> 541 4.252703e-02
#> 542 2.148567e-04
#> 543 4.325142e-01
#> 544 5.853570e-01
#> 545 5.795571e-08
#> 546 8.385969e-03
#> 547 4.808581e-01
#> 548 2.520756e-01
#> 549 4.009970e-11
#> 550 2.404055e-11
#> 551 1.007408e-03
#> 552 5.551325e-05
#> 553 9.823300e-01
#> 554 6.338513e-08
#> 555 8.751277e-01
#> 556 9.688750e-01
#> 557 6.715356e-07
#> 558 2.703815e-11
#> 559 9.163217e-01
#> 560 2.091258e-03
#> 561 1.716696e-07
#> 562 5.236589e-04
#> 563 1.359163e-08
#> 564 3.393837e-02
#> 565 8.604484e-11
#> 566 1.345615e-01
#> 567 1.252328e-02
#> 568 8.948968e-06
#> 569 2.470713e-11
#> 570 7.918732e-07
#> 571 2.577614e-05
#> 572 9.998219e-01
#> 573 9.984901e-01
#> 574 1.060217e-02
#> 575 6.058108e-03
#> 576 1.050985e-03
#> 577 1.681989e-06
#> 578 5.296990e-06
#> 579 8.475030e-01
#> 580 1.565192e-10
#> 581 2.630052e-11
#> 582 4.845662e-01
#> 583 8.690829e-02
#> 584 1.563928e-04
#> 585 5.876578e-05
#> 586 1.697143e-01
#> 587 1.991164e-04
#> 588 3.880883e-07
#> 589 7.924428e-11
#> 590 1.641564e-06
#> 591 3.582454e-03
#> 592 2.506091e-09
#> 593 6.569817e-01
#> 594 6.553917e-09
#> 595 6.437345e-10
#> 596 5.868915e-04
#> 597 9.979547e-01
#> 598 1.727213e-05
#> 599 2.384182e-11
#> 600 4.186567e-03
#> 601 2.542078e-11
#> 602 9.952584e-01
#> 603 7.809277e-04
#> 604 8.391495e-01
#> 605 1.627478e-07
#> 606 9.504633e-01
#> 607 2.669076e-11
#> 608 1.555528e-05
#> 609 3.636858e-08
#> 610 5.518608e-11
#> 611 4.141072e-10
#> 612 4.850111e-04
#> 613 3.956979e-11
#> 614 8.749671e-06
#> 615 4.116119e-01
#> 616 9.863667e-01
#> 617 1.320774e-04
#> 618 1.360936e-01
#> 619 8.721586e-07
#> 620 1.656952e-05
#> 621 1.924040e-09
#> 622 9.967415e-01
#> 623 9.831938e-01
#> 624 2.110045e-04
#> 625 2.898738e-07
#> 626 3.888564e-09
#> 627 5.139766e-03
#> 628 9.996201e-01
#> 629 8.291586e-05
#> 630 9.997791e-01
#> 631 1.113714e-01
#> 632 2.259370e-02
#> 633 4.103329e-11
#> 634 2.578916e-02
#> 635 9.268596e-07
#> 636 1.054683e-10
#> 637 9.367263e-07
#> 638 7.268864e-04
#> 639 2.441380e-11
#> 640 2.027046e-07
#> 641 1.344372e-10
#> 642 3.536168e-01
#> 643 4.051755e-01
#> 644 8.568394e-01
#> 645 2.579746e-09
#> 646 1.564670e-02
#> 647 1.145052e-02
#> 648 4.741477e-03
#> 649 1.798613e-10
#> 650 2.753841e-01
#> 651 1.123938e-01
#> 652 5.685485e-11
#> 653 4.630841e-02
#> 654 2.207580e-09
#> 655 9.997495e-01
#> 656 9.871543e-01
#> 657 1.096605e-06
#> 658 4.177769e-02
#> 659 7.100307e-07
#> 660 3.163502e-09
#> 661 3.029004e-08
#> 662 3.250801e-01
#> 663 9.977891e-01
#> 664 3.778204e-03
#> 665 2.378197e-01
#> 666 1.961848e-10
#> 667 2.985190e-11
#> 668 1.432948e-10
#> 669 5.851891e-05
#> 670 9.334161e-04
#> 671 1.838595e-02
#> 672 3.178480e-11
#> 673 4.864849e-01
#> 674 3.625156e-05
#> 675 6.171325e-02
#> 676 8.906416e-04
#> 677 1.317127e-02
#> 678 3.126292e-01
#> 679 2.184208e-06
#> 680 1.237430e-08
#> 681 2.783118e-11
#> 682 1.291856e-05
#> 683 3.879134e-09
#> 684 1.721074e-08
#> 685 8.697628e-02
#> 686 2.987962e-09
#> 687 2.649151e-09
#> 688 7.491331e-10
#> 689 9.876047e-02
#> 690 3.043395e-03
#> 691 1.449268e-03
#> 692 1.562758e-01
#> 693 9.636538e-01
#> 694 4.175593e-01
#> 695 5.449274e-02
#> 696 4.534872e-02
#> 697 1.388384e-09
#> 698 3.280216e-01
#> 699 2.373335e-09
#> 700 9.021291e-01
#> 701 1.344291e-07
#> 702 9.998091e-01
#> 703 5.720524e-01
#> 704 5.468137e-01
#> 705 9.946723e-01
#> 706 5.632964e-01
#> 707 9.742923e-01
#> 708 5.113796e-01
#> 709 7.583606e-08
#> 710 6.369676e-01
#> 711 4.019568e-01
#> 712 9.985936e-01
#> 713 1.982527e-03
#> 714 7.160242e-01
#> 715 2.399514e-11
#> 716 3.212692e-10
#> 717 2.797627e-01
#> 718 9.043698e-01
#> 719 1.537624e-04
#> 720 2.938219e-02
#> 721 5.719154e-01
#> 722 1.157401e-02
#> 723 2.731215e-02
#> 724 4.497722e-02
#> 725 2.903664e-08
#> 726 5.586384e-05
#> 727 4.308686e-02
#> 728 5.628408e-06
#> 729 8.519634e-02
#> 730 2.955316e-07
#> 731 2.397071e-11
#> 732 3.540071e-03
#> 733 1.176796e-08
#> 734 1.810777e-10
#> 735 1.021859e-04
#> 736 1.032830e-07
#> 737 1.411847e-01
#> 738 4.388236e-04
#> 739 1.694843e-02
#> 740 3.661145e-07
#> 741 3.035709e-06
#> 742 1.097663e-10
#> 743 9.996281e-01
#> 744 9.458259e-01
#> 745 9.477532e-06
#> 746 1.989067e-09
#> 747 3.692517e-08
#> 748 1.461989e-07
#> 749 9.475736e-01
#> 750 4.829870e-01
#> 751 2.253443e-01
#> 752 1.600714e-06
#> 753 1.457055e-02
#> 754 8.633051e-08
#> 755 1.834739e-04
#> 756 8.412388e-08
#> 757 4.269731e-08
#> 758 1.405847e-01
#> 759 9.577625e-02
#> 760 8.408834e-01
#> 761 1.054138e-02
#> 762 3.021118e-01
#> 763 4.508741e-06
#> 764 1.364823e-10
#> 765 5.972027e-01
#> 766 3.498135e-11
#> 767 9.453505e-01
#> 768 1.759915e-03
#> 769 9.114606e-01
#> 770 7.894984e-02
#> 771 7.030883e-09
#> 772 6.439316e-11
#> 773 2.311192e-07
#> 774 8.967782e-02
#> 775 9.251198e-03
#> 776 9.982441e-01
#> 777 2.489953e-11
#> 778 9.301676e-10
#> 779 9.204870e-11
#> 780 5.486092e-09
#> 781 9.997695e-01
#> 782 1.886964e-04
#> 783 2.353185e-06
#> 784 9.998122e-01
#> 785 1.907420e-10
#> 786 3.654890e-05
#> 787 1.126084e-03
#> 788 3.613747e-01
#> 789 7.593452e-01
#> 790 8.399241e-01
#> 791 1.551463e-03
#> 792 2.039156e-04
#> 793 6.517889e-01
#> 794 1.676892e-09
#> 795 6.081284e-01
#> 796 3.728769e-02
#> 797 9.295060e-09
#> 798 1.945523e-06
#> 799 7.453653e-06
#> 800 5.024682e-03
#> 801 6.177237e-05
#> 802 2.311189e-03
#> 803 9.222177e-04
#> 804 4.879808e-04
#> 805 4.371845e-06
#> 806 2.184217e-05
#> 807 2.132898e-10
#> 808 9.987093e-01
#> 809 3.535016e-04
#> 810 4.367967e-02
#> 811 3.013029e-03
#> 812 8.609661e-01
#> 813 5.460307e-09
#> 814 9.993349e-01
#> 815 2.882906e-02
#> 816 2.419756e-06
#> 817 7.318221e-09
#> 818 1.708790e-08
#> 819 4.016775e-06
#> 820 7.543088e-03
#> 821 9.784191e-01
#> 822 9.719436e-01
#> 823 1.865635e-05
#> 824 1.000357e-01
#> 825 4.860964e-03
#> 826 2.363298e-03
#> 827 8.070300e-11
#> 828 9.071059e-01
#> 829 9.872451e-01
#> 830 2.226428e-04
#> 831 5.967013e-07
#> 832 1.362989e-04
#> 833 1.117627e-01
#> 834 3.869542e-06
#> 835 4.638960e-01
#> 836 9.194867e-01
#> 837 9.644866e-09
#> 838 2.092460e-04
#> 839 5.228106e-01
#> 840 2.571398e-02
#> 841 1.218658e-02
#> 842 7.853433e-01
#> 843 1.043622e-04
#> 844 1.688267e-04
#> 845 1.059623e-08
#> 846 9.232465e-01
#> 847 9.997578e-01
#> 848 9.975557e-01
#> 849 5.095716e-04
#> 850 3.526035e-11
#> 851 2.382761e-11
#> 852 4.246808e-05
#> 853 5.532724e-08
#> 854 2.388978e-11
#> 855 1.683344e-04
#> 856 4.644784e-02
#> 857 2.037542e-03
#> 858 3.966591e-02
#> 859 4.808581e-01
#> 860 2.084840e-10
#> 861 9.322416e-01
#> 862 9.993612e-01
#> 863 4.574611e-03
#> 864 3.501570e-02
#> 865 1.846027e-01
#> 866 8.568746e-11
#> 867 2.209309e-06
#> 868 4.434949e-01
#> 869 2.623726e-01
#> 870 1.544823e-03
#> 871 4.127432e-02
#> 872 1.124848e-04
#> 873 6.488388e-01
#> 874 1.640044e-07
#> 875 6.826181e-02
#> 876 9.907020e-01
#> 877 1.893135e-09
#> 878 1.263343e-08
#> 879 7.077223e-02
#> 880 8.373021e-01
#> 881 9.998263e-01
#> 882 2.235210e-01
#> 883 4.881997e-03
#> 884 2.649953e-04
#> 885 3.606726e-11
#> 886 9.998059e-01
#> 887 3.158562e-11
#> 888 3.550205e-02
#> 889 4.074641e-01
#> 890 8.896775e-01
#> 891 2.308447e-03
#> 892 8.463639e-02
#> 893 1.282681e-02
#> 894 7.319631e-01
#> 895 8.163479e-08
#> 896 9.459122e-01
#> 897 5.706380e-11
#> 898 1.364982e-02
#> 899 6.756265e-03
#> 900 3.180560e-02
#> 901 7.682943e-11
#> 902 1.326974e-04
#> 903 4.936458e-01
#> 904 1.197931e-01
#> 905 4.597387e-01
#> 906 1.854040e-06
#> 907 5.629941e-04
#> 908 2.519807e-11
#> 909 9.911536e-01
#> 910 6.216505e-11
#> 911 8.509140e-01
#> 912 9.394888e-01
#> 913 1.568430e-04
#> 914 4.853169e-01
#> 915 1.492667e-02
#> 916 1.754649e-07
#> 917 2.665868e-11
#> 918 1.068982e-01
#> 919 7.114970e-01
#> 920 5.835024e-07
#> 921 1.746957e-04
#> 922 9.122843e-08
#> 923 1.234232e-02
#> 924 1.309997e-06
#> 925 2.472911e-11
#> 926 8.874645e-11
#> 927 4.774616e-01
#> 928 1.137701e-07
#> 929 2.487621e-11
#> 930 4.684624e-01
#> 931 9.583009e-01
#> 932 8.021143e-07
#> 933 4.594813e-11
#> 934 6.898488e-06
#> 935 3.342226e-11
#> 936 5.397156e-01
#> 937 3.470959e-03
#> 938 7.186310e-01
#> 939 9.975511e-01
#> 940 1.215612e-03
#> 941 1.103828e-10
#> 942 2.710462e-08
#> 943 4.323246e-01
#> 944 6.739835e-08
#> 945 6.558669e-10
#> 946 1.956651e-03
#> 947 8.116270e-09
#> 948 5.127939e-09
#> 949 2.134271e-03
#> 950 3.955616e-03
#> 951 5.187265e-04
#> 952 3.033221e-02
#> 953 7.050368e-08
#> 954 2.990137e-09
#> 955 6.213330e-03
#> 956 2.626296e-01
#> 957 2.638549e-02
#> 958 4.022866e-06
#> 959 3.943222e-01
#> 960 1.278610e-01
#> 961 5.361801e-03
#> 962 4.147624e-09
#> 963 6.281941e-07
#> 964 8.915931e-01
#> 965 6.513304e-06
#> 966 4.706421e-09
#> 967 7.227415e-01
#> 968 1.336692e-04
#> 969 7.888442e-01
#> 970 2.876374e-02
#> 971 5.712741e-11
#> 972 2.158596e-03
#> 973 4.293398e-05
#> 974 9.631930e-01
#> 975 8.252886e-10
#> 976 9.980185e-01
#> 977 2.994760e-11
#> 978 6.895599e-06
#> 979 9.998263e-01
#> 980 3.868276e-07
#> 981 4.236137e-01
#> 982 9.649252e-01
#> 983 5.462080e-01
#> 984 2.781801e-02
#> 985 2.945191e-08
#> 986 4.485356e-02
#> 987 7.137969e-01
#> 988 2.872688e-10
#> 989 3.721488e-01
#> 990 7.609442e-05
#> 991 9.861585e-01
#> 992 8.389288e-01
#> 993 2.417032e-09
#> 994 2.503052e-01
#> 995 1.436681e-04
#> 996 1.936370e-01
#> 997 2.487628e-08
#> 998 3.640243e-04
#> 999 6.607570e-03
#> 1000 1.917082e-02
#>
#> $cutscore
#> [1] -2.0 -0.5 0.8
#>
# Or compute classification accuracy and consistency using the item metadata
# instead of providing the SEs directly
cac_2 <- cac_rud(
x = x,
cutscore = cutscore,
theta = theta_hat)
print(cac_2)
#> $confusion
#> Expected
#> True 1 2 3 4
#> 1 0.0261104 0.0087731 0.0001071 0.0000095
#> 2 0.0081101 0.2335466 0.0373433 0.0000000
#> 3 0.0000000 0.0423001 0.4157875 0.0389123
#> 4 0.0000000 0.0000001 0.0248996 0.1641003
#>
#> $marginal
#> level accuracy consistency
#> 1 0.02611037 0.02327509
#> 2 0.23354658 0.21346624
#> 3 0.41578754 0.38347170
#> 4 0.16410028 0.15430300
#> marginal 0.83954478 0.77451602
#>
#> $conditional
#> theta weights level accuracy consistency
#> 1 -1.7022049518 0.001 2 0.7815860 0.6582263
#> 2 1.9309372265 0.001 4 0.9984202 0.9968453
#> 3 -0.6884935308 0.001 2 0.7488969 0.6238986
#> 4 -0.9641337052 0.001 2 0.9414664 0.8897583
#> 5 -4.0000000000 0.001 1 0.8912057 0.8031525
#> 6 -0.2909987604 0.001 3 0.7808719 0.6577666
#> 7 -0.4891721357 0.001 3 0.5157660 0.5004959
#> 8 -0.5821356777 0.001 2 0.6166566 0.5272172
#> 9 -0.0892825678 0.001 3 0.9368007 0.8815327
#> 10 0.0693812937 0.001 3 0.9795469 0.9598171
#> 11 -0.5200343565 0.001 2 0.5290591 0.5016881
#> 12 -1.7154652250 0.001 2 0.7699168 0.6453557
#> 13 -0.5515079142 0.001 2 0.5740772 0.5109744
#> 14 -0.4079631799 0.001 3 0.6325413 0.5351311
#> 15 -0.3017794362 0.001 3 0.7687450 0.6444376
#> 16 -0.8402473446 0.001 2 0.8810552 0.7903993
#> 17 1.1602975497 0.001 4 0.8740430 0.7798163
#> 18 0.3379523273 0.001 3 0.9524904 0.9093887
#> 19 0.3853838696 0.001 3 0.9325512 0.8741106
#> 20 -0.2346782158 0.001 3 0.8380679 0.7285605
#> 21 0.3493597292 0.001 3 0.9482332 0.9017231
#> 22 2.1271587725 0.001 4 0.9993509 0.9987026
#> 23 0.8859829962 0.001 4 0.6131996 0.5256269
#> 24 -0.2833308148 0.001 3 0.7892739 0.6673465
#> 25 -1.3141771454 0.001 2 0.9757261 0.9524029
#> 26 -0.8049597496 0.001 2 0.8565343 0.7542291
#> 27 0.0539574844 0.001 3 0.9775686 0.9560349
#> 28 0.1434565567 0.001 3 0.9838615 0.9681143
#> 29 0.1955349967 0.001 3 0.9819600 0.9644382
#> 30 0.6062732061 0.001 3 0.7515583 0.6265373
#> 31 0.6412433867 0.001 3 0.7101134 0.5882754
#> 32 1.9631257838 0.001 4 0.9986552 0.9973139
#> 33 -0.2364071734 0.001 3 0.8364708 0.7264063
#> 34 -1.2760793477 0.001 2 0.9795131 0.9596652
#> 35 -0.6227160164 0.001 2 0.6703848 0.5580616
#> 36 -0.5986602487 0.001 2 0.6389518 0.5386149
#> 37 -0.0279521619 0.001 3 0.9597865 0.9227281
#> 38 -0.8038382718 0.001 2 0.8556954 0.7530342
#> 39 0.7713440944 0.001 3 0.5389557 0.5030285
#> 40 -0.9108408363 0.001 2 0.9199372 0.8526789
#> 41 0.2385919179 0.001 3 0.9771386 0.9551928
#> 42 -0.1825635620 0.001 3 0.8814055 0.7909105
#> 43 0.6255520547 0.001 3 0.7290546 0.6049096
#> 44 -2.0376729826 0.001 1 0.5333910 0.5019382
#> 45 -0.3395978855 0.001 3 0.7234611 0.5998628
#> 46 0.5578369336 0.001 3 0.8038573 0.6846222
#> 47 -0.7302539517 0.001 2 0.7922830 0.6708572
#> 48 0.1511899391 0.001 3 0.9838376 0.9680670
#> 49 0.5000714106 0.001 3 0.8572727 0.7552356
#> 50 -0.9458442007 0.001 2 0.9347564 0.8780037
#> 51 -0.7503662076 0.001 2 0.8112707 0.6937769
#> 52 0.2124430222 0.001 3 0.9804356 0.9615046
#> 53 0.5732078564 0.001 3 0.7879602 0.6658095
#> 54 1.6668268867 0.001 4 0.9930208 0.9861390
#> 55 -0.4444787127 0.001 3 0.5806655 0.5130117
#> 56 0.8088481717 0.001 4 0.5119700 0.5002822
#> 57 0.5020022598 0.001 3 0.8556544 0.7529287
#> 58 -1.1626926431 0.001 2 0.9797473 0.9601954
#> 59 -0.5667656091 0.001 2 0.5954725 0.5182296
#> 60 -0.2860047166 0.001 3 0.7863654 0.6639983
#> 61 0.2884790635 0.001 3 0.9673684 0.9367461
#> 62 0.9240691857 0.001 4 0.6599256 0.5511516
#> 63 1.0720266145 0.001 4 0.8104711 0.6927846
#> 64 -0.0717255833 0.001 3 0.9443567 0.8948426
#> 65 1.1436085251 0.001 4 0.8634932 0.7642546
#> 66 0.4580129736 0.001 3 0.8895995 0.8035101
#> 67 1.8738825169 0.001 4 0.9978710 0.9957511
#> 68 -1.5712046066 0.001 2 0.8814013 0.7905870
#> 69 0.5664127254 0.001 3 0.7950714 0.6741000
#> 70 0.6940112264 0.001 3 0.6430109 0.5408913
#> 71 -0.4933561038 0.001 3 0.5096709 0.5001859
#> 72 0.2686389635 0.001 3 0.9718351 0.9451319
#> 73 -0.6339236455 0.001 2 0.6845702 0.5681319
#> 74 -0.2980534856 0.001 3 0.7729772 0.6490225
#> 75 0.0368273385 0.001 3 0.9748983 0.9509540
#> 76 -0.7890783660 0.001 2 0.8443033 0.7370860
#> 77 -0.9240196595 0.001 2 0.9258353 0.8626535
#> 78 -0.2744714166 0.001 3 0.7987454 0.6784843
#> 79 0.7012595036 0.001 3 0.6334647 0.5356134
#> 80 -0.3763691405 0.001 3 0.6757962 0.5618040
#> 81 0.1615660269 0.001 3 0.9836656 0.9677332
#> 82 -1.1411919388 0.001 2 0.9780986 0.9570509
#> 83 -0.5514558145 0.001 2 0.5740035 0.5109526
#> 84 1.3828033611 0.001 4 0.9617603 0.9264451
#> 85 0.1143165717 0.001 3 0.9831547 0.9667522
#> 86 0.8647777675 0.001 4 0.5861076 0.5148271
#> 87 -0.5144629624 0.001 2 0.5209998 0.5008811
#> 88 1.8122128418 0.001 4 0.9970122 0.9940423
#> 89 -1.0098501462 0.001 2 0.9554744 0.9148730
#> 90 -1.0101797555 0.001 2 0.9555621 0.9150328
#> 91 0.2347386092 0.001 3 0.9776989 0.9562622
#> 92 -1.1121098227 0.001 2 0.9750144 0.9511891
#> 93 0.6650023440 0.001 3 0.6804850 0.5651332
#> 94 0.4466786715 0.001 3 0.8973584 0.8157182
#> 95 1.1529548682 0.001 4 0.8694827 0.7730349
#> 96 -0.0906153575 0.001 3 0.9361929 0.8804719
#> 97 0.7191538675 0.001 3 0.6096492 0.5240354
#> 98 -0.7248895338 0.001 2 0.7870074 0.6647451
#> 99 -0.5719864918 0.001 2 0.6027129 0.5210995
#> 100 -1.4214635888 0.001 2 0.9524275 0.9090864
#> 101 1.8171937550 0.001 4 0.9970946 0.9942060
#> 102 0.4171888704 0.001 3 0.9156886 0.8455147
#> 103 1.3925505433 0.001 4 0.9638568 0.9303262
#> 104 -0.3555330429 0.001 3 0.7032051 0.5825788
#> 105 -0.0875657737 0.001 3 0.9375764 0.8828885
#> 106 0.5386438878 0.001 3 0.8227364 0.7082764
#> 107 -0.5907597074 0.001 2 0.6283586 0.5329515
#> 108 0.5707716354 0.001 3 0.7905248 0.6687760
#> 109 -1.5995551650 0.001 2 0.8625324 0.7625083
#> 110 1.1730627818 0.001 4 0.8816720 0.7913470
#> 111 0.0594723790 0.001 3 0.9783213 0.9574721
#> 112 -0.2282165732 0.001 3 0.8439460 0.7365773
#> 113 -0.7618224647 0.001 2 0.8215267 0.7067565
#> 114 0.7392782460 0.001 3 0.5825393 0.5136167
#> 115 -1.3426338847 0.001 2 0.9714775 0.9443347
#> 116 -1.6328115022 0.001 2 0.8383459 0.7286017
#> 117 -0.5967424293 0.001 2 0.6363919 0.5372052
#> 118 -0.1511206466 0.001 3 0.9031281 0.8249867
#> 119 0.3800954605 0.001 3 0.9350742 0.8784868
#> 120 1.1583509760 0.001 4 0.8728464 0.7780288
#> 121 -0.1651241418 0.001 3 0.8938552 0.8102097
#> 122 0.6843520411 0.001 3 0.6556271 0.5484255
#> 123 0.1107280282 0.001 3 0.9829802 0.9664158
#> 124 -1.7020019755 0.001 2 0.7817628 0.6584255
#> 125 -0.7572257527 0.001 2 0.8174604 0.7015600
#> 126 2.0386411786 0.001 4 0.9990573 0.9981164
#> 127 -0.0229506622 0.001 3 0.9612624 0.9254449
#> 128 1.8451084370 0.001 4 0.9975112 0.9950347
#> 129 -1.5602818163 0.001 2 0.8882217 0.8010873
#> 130 -0.1495995613 0.001 3 0.9040971 0.8265508
#> 131 1.1381962380 0.001 4 0.8599290 0.7590978
#> 132 0.0166763561 0.001 3 0.9710840 0.9437444
#> 133 -0.8911150123 0.001 2 0.9103473 0.8367573
#> 134 1.5737691530 0.001 4 0.9877529 0.9758058
#> 135 -0.2763618779 0.001 3 0.7967458 0.6761030
#> 136 0.5746388483 0.001 3 0.7864461 0.6640703
#> 137 0.2067921326 0.001 3 0.9809967 0.9625832
#> 138 0.5154479493 0.001 3 0.8440601 0.7367073
#> 139 -1.2300685118 0.001 2 0.9814775 0.9634745
#> 140 0.2918937896 0.001 3 0.9665175 0.9351576
#> 141 1.0509400070 0.001 4 0.7923638 0.6709531
#> 142 -0.4952065711 0.001 3 0.5069760 0.5000962
#> 143 1.4631048426 0.001 4 0.9761376 0.9534140
#> 144 1.4798593004 0.001 4 0.9784102 0.9577527
#> 145 -0.9755997806 0.001 2 0.9453375 0.8966210
#> 146 -0.7892710772 0.001 2 0.8444563 0.7372968
#> 147 -1.6668486752 0.001 2 0.8114816 0.6936862
#> 148 -0.1369610929 0.001 3 0.9118647 0.8392232
#> 149 -0.7993672624 0.001 2 0.8523135 0.7482457
#> 150 -1.2365674340 0.001 2 0.9813619 0.9632470
#> 151 0.2554964500 0.001 3 0.9743634 0.9499141
#> 152 0.6880108688 0.001 3 0.6508631 0.5455057
#> 153 -0.5669903912 0.001 2 0.5957852 0.5183492
#> 154 -0.6444205575 0.001 2 0.6975709 0.5780681
#> 155 -0.0252074559 0.001 3 0.9606034 0.9242306
#> 156 0.9625520092 0.001 4 0.7041498 0.5833539
#> 157 -0.1086330893 0.001 3 0.9274854 0.8654370
#> 158 -2.1920906425 0.001 1 0.6528589 0.5465459
#> 159 0.2624061956 0.001 3 0.9730756 0.9474752
#> 160 -0.0503144828 0.001 3 0.9524857 0.9094157
#> 161 -2.1735765468 0.001 1 0.6401407 0.5390844
#> 162 1.0130126744 0.001 4 0.7569119 0.6320073
#> 163 -2.0118085373 0.001 1 0.5106197 0.4999060
#> 164 0.6433192230 0.001 3 0.7075685 0.5861498
#> 165 -0.7173440667 0.001 2 0.7794370 0.6561688
#> 166 -0.4930868711 0.001 3 0.5100630 0.5002013
#> 167 -0.9423059955 0.001 2 0.9333793 0.8756136
#> 168 1.2001501397 0.001 4 0.8966413 0.8146486
#> 169 -0.8976681491 0.001 2 0.9136372 0.8421780
#> 170 0.7476362947 0.001 3 0.5712092 0.5101334
#> 171 -0.7008227417 0.001 2 0.7622546 0.6375540
#> 172 0.1810295858 0.001 3 0.9829055 0.9662628
#> 173 -0.4239216750 0.001 3 0.6100688 0.5242276
#> 174 -0.3653165302 0.001 3 0.6904587 0.5725438
#> 175 0.5024455846 0.001 3 0.8552812 0.7523981
#> 176 1.1655581751 0.001 4 0.8772326 0.7846088
#> 177 -1.1334178271 0.001 2 0.9773714 0.9556661
#> 178 0.2010601028 0.001 3 0.9815127 0.9635762
#> 179 1.9935985612 0.001 4 0.9988393 0.9976814
#> 180 -0.8336619553 0.001 2 0.8767506 0.7838757
#> 181 -1.8424169482 0.001 2 0.6500333 0.5446755
#> 182 -1.3050998844 0.001 2 0.9768187 0.9544907
#> 183 -0.6901835845 0.001 2 0.7507547 0.6257550
#> 184 -0.4022142622 0.001 3 0.6405441 0.5395018
#> 185 -0.7904093734 0.001 2 0.8453575 0.7385401
#> 186 -0.7973939813 0.001 2 0.8508020 0.7461201
#> 187 0.2775523414 0.001 3 0.9699275 0.9415408
#> 188 0.7470632736 0.001 3 0.5719870 0.5103561
#> 189 1.4549576126 0.001 4 0.9749520 0.9511587
#> 190 0.8354953352 0.001 4 0.5476883 0.5045454
#> 191 1.6921402513 0.001 4 0.9940009 0.9880738
#> 192 -0.4400694793 0.001 3 0.5870078 0.5151385
#> 193 1.9824800514 0.001 4 0.9987760 0.9975550
#> 194 0.5548255683 0.001 3 0.8068917 0.6883280
#> 195 0.5033803341 0.001 3 0.8544922 0.7512784
#> 196 0.0980168904 0.001 3 0.9822058 0.9649238
#> 197 0.7391244841 0.001 3 0.5827474 0.5136855
#> 198 0.4056719584 0.001 3 0.9221351 0.8563126
#> 199 -1.4668329023 0.001 2 0.9359903 0.8798590
#> 200 -0.8399717541 0.001 2 0.8808775 0.7901285
#> 201 -3.1965924381 0.001 1 0.9010685 0.8213517
#> 202 0.0604105267 0.001 3 0.9784442 0.9577072
#> 203 1.1776955465 0.001 4 0.8843483 0.7954472
#> 204 -1.6410292629 0.001 2 0.8320468 0.7201556
#> 205 -0.8977127468 0.001 2 0.9136592 0.8422144
#> 206 1.4298151580 0.001 4 0.9709328 0.9435553
#> 207 -0.5203925334 0.001 2 0.5295765 0.5017488
#> 208 -1.1955282527 0.001 2 0.9812467 0.9630547
#> 209 1.3471065000 0.001 4 0.9531031 0.9106049
#> 210 0.3565581532 0.001 3 0.9453759 0.8966190
#> 211 0.1451065149 0.001 3 0.9838639 0.9681186
#> 212 -0.2450505679 0.001 3 0.8283338 0.7155886
#> 213 -0.0455670701 0.001 3 0.9541342 0.9124030
#> 214 -0.8983227740 0.001 2 0.9139601 0.8427123
#> 215 0.4981223867 0.001 3 0.8588943 0.7575577
#> 216 2.0627005244 0.001 4 0.9991523 0.9983060
#> 217 -0.2961538926 0.001 3 0.7751183 0.6513694
#> 218 2.4026415209 0.001 4 0.9997211 0.9994423
#> 219 0.1120319148 0.001 3 0.9830458 0.9665423
#> 220 -1.1850488311 0.001 2 0.9809020 0.9623987
#> 221 0.7986248278 0.001 3 0.5018588 0.5000018
#> 222 -1.2600557000 0.001 2 0.9805057 0.9615828
#> 223 1.0854028202 0.001 4 0.8213634 0.7065488
#> 224 -0.3706468922 0.001 3 0.6834210 0.5672816
#> 225 0.3938151192 0.001 3 0.9283659 0.8669071
#> 226 -0.2687058378 0.001 3 0.8047714 0.6857571
#> 227 -0.2647245168 0.001 3 0.8088684 0.6907847
#> 228 0.7694534991 0.001 3 0.5415306 0.5034429
#> 229 2.1752524448 0.001 4 0.9994589 0.9989184
#> 230 -1.5025104744 0.001 2 0.9199999 0.8524703
#> 231 0.2952591790 0.001 3 0.9656545 0.9335496
#> 232 -0.1557545869 0.001 3 0.9001300 0.8201714
#> 233 0.7590597374 0.001 3 0.5556816 0.5061935
#> 234 -1.2751013422 0.001 2 0.9795835 0.9598009
#> 235 -0.8268106912 0.001 2 0.8721417 0.7769731
#> 236 -1.3556643505 0.001 2 0.9690942 0.9398428
#> 237 -0.6867772860 0.001 2 0.7470018 0.6220190
#> 238 1.2596876275 0.001 4 0.9241438 0.8597959
#> 239 -0.5635023418 0.001 2 0.5909252 0.5165344
#> 240 -0.7090635788 0.001 2 0.7709288 0.6468037
#> 241 0.3471899052 0.001 3 0.9490683 0.9032211
#> 242 -0.2704673878 0.001 3 0.8029419 0.6835337
#> 243 0.4128379869 0.001 3 0.9181702 0.8496517
#> 244 0.2831230844 0.001 3 0.9686537 0.9391509
#> 245 -0.1570204080 0.001 3 0.8992989 0.8188431
#> 246 0.5245211442 0.001 3 0.8359170 0.7256355
#> 247 -0.6303614149 0.001 2 0.6800949 0.5648680
#> 248 1.9253342869 0.001 4 0.9983743 0.9967540
#> 249 0.7921356658 0.001 3 0.5106648 0.5002221
#> 250 0.2143921591 0.001 3 0.9802299 0.9611095
#> 251 -0.1755805732 0.001 3 0.8865120 0.7987515
#> 252 0.1831706510 0.001 3 0.9827866 0.9660330
#> 253 0.0121751955 0.001 3 0.9701278 0.9419461
#> 254 0.5720840677 0.001 3 0.7891453 0.6671770
#> 255 -0.0226378517 0.001 3 0.9613529 0.9256117
#> 256 0.8601943991 0.001 4 0.5801650 0.5128508
#> 257 0.0223630756 0.001 3 0.9722367 0.9459172
#> 258 0.0289207567 0.001 3 0.9734909 0.9482871
#> 259 -1.7104850122 0.001 2 0.7743263 0.6501551
#> 260 -1.4163312118 0.001 2 0.9540226 0.9119809
#> 261 0.4105941928 0.001 3 0.9194280 0.8517579
#> 262 2.2933995043 0.001 4 0.9996317 0.9992637
#> 263 -0.3967745715 0.001 3 0.6480661 0.5438435
#> 264 -0.1554907053 0.001 3 0.9003026 0.8204477
#> 265 -0.2451382300 0.001 3 0.8282500 0.7154786
#> 266 0.2919413215 0.001 3 0.9665055 0.9351352
#> 267 0.0850646736 0.001 3 0.9811625 0.9629169
#> 268 0.4199989043 0.001 3 0.9140559 0.8428061
#> 269 2.3291324893 0.001 4 0.9996664 0.9993331
#> 270 -0.3673914972 0.001 3 0.6877267 0.5704775
#> 271 -2.0037741538 0.001 1 0.5034087 0.4996942
#> 272 0.7327709473 0.001 3 0.5913355 0.5166750
#> 273 0.2279082361 0.001 3 0.9786278 0.9580381
#> 274 -0.0709502323 0.001 3 0.9446715 0.8954020
#> 275 -0.7843857326 0.001 2 0.8405437 0.7319367
#> 276 -0.6166968594 0.001 2 0.6626421 0.5529046
#> 277 0.7829199531 0.001 3 0.5231948 0.5010701
#> 278 -0.8300779979 0.001 2 0.8743563 0.7802793
#> 279 1.5042497778 0.001 4 0.9813515 0.9633985
#> 280 2.4208745427 0.001 4 0.9997319 0.9994639
#> 281 -0.0579523443 0.001 3 0.9497182 0.9044247
#> 282 0.2732656382 0.001 3 0.9708647 0.9433034
#> 283 -0.9091466037 0.001 2 0.9191499 0.8513580
#> 284 -0.0562935936 0.001 3 0.9503315 0.9055281
#> 285 1.2737224261 0.001 4 0.9296385 0.8691785
#> 286 -2.0330277997 0.001 1 0.5293530 0.5014268
#> 287 1.6406266042 0.001 4 0.9918293 0.9837921
#> 288 0.9461360119 0.001 4 0.6856822 0.5689552
#> 289 -1.6878366855 0.001 2 0.7939597 0.6724693
#> 290 1.1446166253 0.001 4 0.8641493 0.7652094
#> 291 -0.0508250324 0.001 3 0.9523052 0.9090892
#> 292 -2.4925130220 0.001 1 0.8008908 0.6809450
#> 293 0.2642201198 0.001 3 0.9727224 0.9468073
#> 294 0.5893151388 0.001 3 0.7705909 0.6464096
#> 295 -2.0383552464 0.001 1 0.5339822 0.5020186
#> 296 -0.8697761244 0.001 2 0.8988889 0.8182150
#> 297 -0.8729217881 0.001 2 0.9006514 0.8210329
#> 298 0.8897411277 0.001 4 0.6179265 0.5278121
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#> 911 1.1249609071 0.001 4 0.8509129 0.7462796
#> 912 1.3014329357 0.001 4 0.9394886 0.8863004
#> 913 -0.1668918854 0.001 3 0.8926391 0.8082973
#> 914 0.7891825346 0.001 3 0.5146774 0.5004253
#> 915 0.2104308946 0.001 3 0.9806414 0.9619001
#> 916 -0.6162989578 0.001 2 0.6621273 0.5525702
#> 917 -1.6865727649 0.001 2 0.7950340 0.6737347
#> 918 0.4534207583 0.001 3 0.8927914 0.8085033
#> 919 0.9692386872 0.001 4 0.7114948 0.5894597
#> 920 -0.5386559406 0.001 2 0.5558176 0.5062306
#> 921 -0.1591978847 0.001 3 0.8978572 0.8165451
#> 922 -0.6589465688 0.001 2 0.7150844 0.5925221
#> 923 0.1912015888 0.001 3 0.9822770 0.9650494
#> 924 -0.4865636911 0.001 3 0.5195668 0.5007644
#> 925 -1.5169203187 0.001 2 0.9127559 0.8404007
#> 926 -1.2238381997 0.001 2 0.9815403 0.9636000
#> 927 0.7834067841 0.001 3 0.5225323 0.5010095
#> 928 -0.6445053229 0.001 2 0.6976747 0.5781502
#> 929 -1.5129393324 0.001 2 0.9148026 0.8437895
#> 930 0.7767960205 0.001 3 0.5315311 0.5019822
#> 931 1.3677395557 0.001 4 0.9583011 0.9200799
#> 932 -0.5181648736 0.001 2 0.5263571 0.5013886
#> 933 -1.3258011386 0.001 2 0.9741446 0.9493902
#> 934 -0.3788122246 0.001 3 0.6725197 0.5595215
#> 935 -1.7707748473 0.001 2 0.7191028 0.5956611
#> 936 0.8295082817 0.001 4 0.5397156 0.5031514
#> 937 0.0736290082 0.001 3 0.9800232 0.9607300
#> 938 0.9758288268 0.001 4 0.7186307 0.5955984
#> 939 1.8480571233 0.001 4 0.9975511 0.9951142
#> 940 -0.0133681029 0.001 3 0.9639368 0.9303900
#> 941 -1.1958454193 0.001 2 0.9812551 0.9630708
#> 942 -0.7395126869 0.001 2 0.8011795 0.6814165
#> 943 0.7502452471 0.001 3 0.5676665 0.5091496
#> 944 -0.6788508742 0.001 2 0.7381374 0.6134181
#> 945 -1.0163828907 0.001 2 0.9571801 0.9179840
#> 946 0.0251941707 0.001 3 0.9727880 0.9469581
#> 947 -0.8226211656 0.001 2 0.8692570 0.7726961
#> 948 -0.8554401885 0.001 2 0.8905259 0.8050127
#> 949 0.0323880653 0.001 3 0.9741220 0.9494820
#> 950 0.0850243946 0.001 3 0.9811589 0.9629099
#> 951 -0.0793214381 0.001 3 0.9411892 0.8892354
#> 952 0.2872075816 0.001 3 0.9676790 0.9373266
#> 953 -0.6758799673 0.001 2 0.7347679 0.6102313
#> 954 -2.3934600231 0.001 1 0.7632252 0.6384420
#> 955 0.1255486949 0.001 3 0.9835765 0.9675656
#> 956 0.6185541787 0.001 3 0.7373249 0.6126226
#> 957 0.2713999829 0.001 3 0.9712611 0.9440499
#> 958 -0.4139832254 0.001 3 0.6241062 0.5308017
#> 959 0.7221259501 0.001 3 0.6056642 0.5223197
#> 960 0.4819152454 0.001 3 0.8719137 0.7765820
#> 961 0.1121141620 0.001 3 0.9830499 0.9665501
#> 962 -0.8709011073 0.001 2 0.8995222 0.8192261
#> 963 -0.5339051640 0.001 2 0.5490212 0.5048055
#> 964 1.1906832401 0.001 4 0.8915940 0.8066918
#> 965 -0.3825694779 0.001 3 0.6674565 0.5560791
#> 966 -0.8616589904 0.001 2 0.8942210 0.8108115
#> 967 0.9796699279 0.001 4 0.7227421 0.5992277
#> 968 -0.1782422963 0.001 3 0.8845847 0.7957800
#> 969 1.0469892678 0.001 4 0.7888435 0.6668610
#> 970 0.2811391349 0.001 3 0.9691147 0.9400150
#> 971 -1.2880536969 0.001 2 0.9785450 0.9578016
#> 972 0.0333280321 0.001 3 0.9742894 0.9497991
#> 973 -0.2569994350 0.001 3 0.8166670 0.7005402
#> 974 1.3894112125 0.001 4 0.9631933 0.9290961
#> 975 -0.9968504403 0.001 2 0.9518688 0.9083344
#> 976 1.8872956517 0.001 4 0.9980180 0.9960438
#> 977 -1.4277779160 0.001 2 0.9503929 0.9054094
#> 978 -0.3788338053 0.001 3 0.6724907 0.5595015
#> 979 2.9048924184 0.001 4 0.9998263 0.9996527
#> 980 -0.5651496356 0.001 2 0.5932227 0.5173806
#> 981 0.7438276158 0.001 3 0.5763762 0.5116582
#> 982 1.3977206450 0.001 4 0.9649255 0.9323115
#> 983 0.8343820028 0.001 4 0.5462084 0.5042674
#> 984 0.2773495254 0.001 3 0.9699727 0.9416257
#> 985 -0.7339024885 0.001 2 0.7958204 0.6750179
#> 986 0.3338417043 0.001 3 0.9539450 0.9120244
#> 987 0.9713574552 0.001 4 0.7138003 0.5914207
#> 988 -2.1352394760 0.001 1 0.6123796 0.5250431
#> 989 0.7055119999 0.001 3 0.6278352 0.5326719
#> 990 -0.2176876937 0.001 3 0.8532174 0.7495027
#> 991 1.5535784532 0.001 4 0.9861583 0.9726999
#> 992 1.1082728710 0.001 4 0.8389277 0.7297440
#> 993 -0.9111795827 0.001 2 0.9200938 0.8529420
#> 994 0.6079440784 0.001 3 0.7496434 0.6246181
#> 995 -0.1731311870 0.001 3 0.8882646 0.8014667
#> 996 0.5554467733 0.001 3 0.8062679 0.6875632
#> 997 -0.7452989644 0.001 2 0.8066048 0.6880111
#> 998 -0.1057905389 0.001 3 0.9289209 0.8678947
#> 999 0.1312222453 0.001 3 0.9837182 0.9678388
#> 1000 0.2365478775 0.001 3 0.9774391 0.9557662
#>
#> $prob.level
#> theta weights level p.level.1 p.level.2 p.level.3
#> 1 -1.7022049518 0.001 2 2.175983e-01 7.815860e-01 0.0008157670
#> 2 1.9309372265 0.001 4 5.347014e-25 1.113771e-10 0.0015798499
#> 3 -0.6884935308 0.001 2 1.514110e-06 7.488969e-01 0.2511014806
#> 4 -0.9641337052 0.001 2 2.307667e-04 9.414664e-01 0.0583028293
#> 5 -4.0000000000 0.001 1 8.912057e-01 9.331829e-02 0.0139333577
#> 6 -0.2909987604 0.001 3 1.156001e-10 2.191022e-01 0.7808718595
#> 7 -0.4891721357 0.001 3 1.733038e-08 4.842327e-01 0.5157660228
#> 8 -0.5821356777 0.001 2 1.511720e-07 6.166566e-01 0.3833429179
#> 9 -0.0892825678 0.001 3 5.102969e-13 6.274496e-02 0.9368006828
#> 10 0.0693812937 0.001 3 7.213985e-15 1.714861e-02 0.9795468730
#> 11 -0.5200343565 0.001 2 3.610273e-08 5.290591e-01 0.4709400700
#> 12 -1.7154652250 0.001 2 2.293101e-01 7.699168e-01 0.0007730401
#> 13 -0.5515079142 0.001 2 7.517373e-08 5.740772e-01 0.4259222876
#> 14 -0.4079631799 0.001 3 2.355085e-09 3.674543e-01 0.6325412932
#> 15 -0.3017794362 0.001 3 1.534914e-10 2.312329e-01 0.7687450325
#> 16 -0.8402473446 0.001 2 2.866523e-05 8.810552e-01 0.1189161341
#> 17 1.1602975497 0.001 4 4.618980e-24 6.473604e-08 0.1259569636
#> 18 0.3379523273 0.001 3 8.934502e-18 1.148127e-03 0.9524904393
#> 19 0.3853838696 0.001 3 3.028116e-18 6.782501e-04 0.9325512281
#> 20 -0.2346782158 0.001 3 2.590761e-11 1.618726e-01 0.8380678923
#> 21 0.3493597292 0.001 3 6.866526e-18 1.012660e-03 0.9482331568
#> 22 2.1271587725 0.001 4 7.457352e-24 9.644522e-11 0.0006491435
#> 23 0.8859829962 0.001 4 2.330411e-22 1.767529e-06 0.3867986684
#> 24 -0.2833308148 0.001 3 9.443360e-11 2.106970e-01 0.7892739240
#> 25 -1.3141771454 0.001 2 1.791600e-02 9.757261e-01 0.0063578790
#> 26 -0.8049597496 0.001 2 1.501912e-05 8.565343e-01 0.1434506573
#> 27 0.0539574844 0.001 3 1.084739e-14 1.967199e-02 0.9775685568
#> 28 0.1434565567 0.001 3 1.046979e-15 8.603643e-03 0.9838615049
#> 29 0.1955349967 0.001 3 2.788686e-16 5.151743e-03 0.9819600369
#> 30 0.6062732061 0.001 3 3.053046e-20 5.208898e-05 0.7515582855
#> 31 0.6412433867 0.001 3 1.572829e-20 3.428667e-05 0.7101133762
#> 32 1.9631257838 0.001 4 7.597199e-25 1.039050e-10 0.0013448385
#> 33 -0.2364071734 0.001 3 2.713346e-11 1.634711e-01 0.8364708400
#> 34 -1.2760793477 0.001 2 1.241593e-02 9.795131e-01 0.0080709825
#> 35 -0.6227160164 0.001 2 3.725247e-07 6.703848e-01 0.3296146382
#> 36 -0.5986602487 0.001 2 2.189809e-07 6.389518e-01 0.3610477433
#> 37 -0.0279521619 0.001 3 9.710507e-14 3.920251e-02 0.9597865389
#> 38 -0.8038382718 0.001 2 1.470821e-05 8.556954e-01 0.1442898974
#> 39 0.7713440944 0.001 3 1.533956e-21 7.126710e-06 0.5389557214
#> 40 -0.9108408363 0.001 2 9.745209e-05 9.199372e-01 0.0799653504
#> 41 0.2385919179 0.001 3 9.574169e-17 3.318982e-03 0.9771386324
#> 42 -0.1825635620 0.001 3 6.384114e-12 1.184688e-01 0.8814054917
#> 43 0.6255520547 0.001 3 2.113660e-20 4.137504e-05 0.7290546150
#> 44 -2.0376729826 0.001 1 5.333910e-01 4.662962e-01 0.0003127836
#> 45 -0.3395978855 0.001 3 4.115085e-10 2.765264e-01 0.7234610811
#> 46 0.5578369336 0.001 3 7.868982e-20 9.258216e-05 0.8038573137
#> 47 -0.7302539517 0.001 2 3.545482e-06 7.922830e-01 0.2077134311
#> 48 0.1511899391 0.001 3 8.585884e-16 7.983836e-03 0.9838375814
#> 49 0.5000714106 0.001 3 2.543877e-19 1.824229e-04 0.8572726996
#> 50 -0.9458442007 0.001 2 1.727023e-04 9.347564e-01 0.0650709172
#> 51 -0.7503662076 0.001 2 5.282001e-06 8.112707e-01 0.1887239825
#> 52 0.2124430222 0.001 3 1.827515e-16 4.341804e-03 0.9804356461
#> 53 0.5732078564 0.001 3 5.805870e-20 7.718073e-05 0.7879602135
#> 54 1.6668268867 0.001 4 1.250591e-25 3.994491e-10 0.0069792191
#> 55 -0.4444787127 0.001 3 5.842257e-09 4.193320e-01 0.5806654662
#> 56 0.8088481717 0.001 4 8.147340e-22 4.518603e-06 0.4880254403
#> 57 0.5020022598 0.001 3 2.444099e-19 1.783616e-04 0.8556543998
#> 58 -1.1626926431 0.001 2 3.585857e-03 9.797473e-01 0.0166668601
#> 59 -0.5667656091 0.001 2 1.066681e-07 5.954725e-01 0.4045269814
#> 60 -0.2860047166 0.001 3 1.013393e-10 2.136067e-01 0.7863653799
#> 61 0.2884790635 0.001 3 2.860373e-17 1.962583e-03 0.9673684240
#> 62 0.9240691857 0.001 4 1.286402e-22 1.111965e-06 0.3400732733
#> 63 1.0720266145 0.001 4 1.483605e-23 1.854131e-07 0.1895286683
#> 64 -0.0717255833 0.001 3 3.170880e-13 5.506978e-02 0.9443567226
#> 65 1.1436085251 0.001 4 5.714400e-24 7.886819e-08 0.1365066974
#> 66 0.4580129736 0.001 3 6.166017e-19 2.969904e-04 0.8895994677
#> 67 1.8738825169 0.001 4 3.134505e-25 1.319392e-10 0.0021290032
#> 68 -1.5712046066 0.001 2 1.171175e-01 8.814013e-01 0.0014811384
#> 69 0.5664127254 0.001 3 6.638393e-20 8.365102e-05 0.7950714101
#> 70 0.6940112264 0.001 3 5.963058e-21 1.817403e-05 0.6430109330
#> 71 -0.4933561038 0.001 3 1.915930e-08 4.903279e-01 0.5096708702
#> 72 0.2686389635 0.001 3 4.605937e-17 2.423348e-03 0.9718350558
#> 73 -0.6339236455 0.001 2 4.755665e-07 6.845702e-01 0.3154291836
#> 74 -0.2980534856 0.001 3 1.391807e-10 2.269994e-01 0.7729772158
#> 75 0.0368273385 0.001 3 1.709870e-14 2.285046e-02 0.9748983365
#> 76 -0.7890783660 0.001 2 1.114447e-05 8.443033e-01 0.1556855467
#> 77 -0.9240196595 0.001 2 1.212063e-04 9.258353e-01 0.0740434891
#> 78 -0.2744714166 0.001 3 7.471259e-11 2.012214e-01 0.7987454270
#> 79 0.7012595036 0.001 3 5.234012e-21 1.665164e-05 0.6334646793
#> 80 -0.3763691405 0.001 3 1.058666e-09 3.241966e-01 0.6757962269
#> 81 0.1615660269 0.001 3 6.586215e-16 7.216176e-03 0.9836655842
#> 82 -1.1411919388 0.001 2 2.760253e-03 9.780986e-01 0.0191411577
#> 83 -0.5514558145 0.001 2 7.508348e-08 5.740035e-01 0.4259959003
#> 84 1.3828033611 0.001 4 4.231133e-25 5.233937e-09 0.0382397151
#> 85 0.1143165717 0.001 3 2.223292e-15 1.135141e-02 0.9831546930
#> 86 0.8647777675 0.001 4 3.266205e-22 2.288047e-06 0.4138901363
#> 87 -0.5144629624 0.001 2 3.165641e-08 5.209998e-01 0.4789993665
#> 88 1.8122128418 0.001 4 2.011223e-25 1.694388e-10 0.0029877569
#> 89 -1.0098501462 0.001 2 4.633112e-04 9.554744e-01 0.0440622885
#> 90 -1.0101797555 0.001 2 4.655789e-04 9.555621e-01 0.0439722868
#> 91 0.2347386092 0.001 3 1.052525e-16 3.454052e-03 0.9776988506
#> 92 -1.1121098227 0.001 2 1.911399e-03 9.750144e-01 0.0230742385
#> 93 0.6650023440 0.001 3 1.011732e-20 2.577614e-05 0.6804850018
#> 94 0.4466786715 0.001 3 7.863132e-19 3.383143e-04 0.8973584151
#> 95 1.1529548682 0.001 4 5.069958e-24 7.060458e-08 0.1305172137
#> 96 -0.0906153575 0.001 3 5.290737e-13 6.336075e-02 0.9361929031
#> 97 0.7191538675 0.001 3 3.804083e-21 1.341362e-05 0.6096491798
#> 98 -0.7248895338 0.001 2 3.183941e-06 7.870074e-01 0.2129894240
#> 99 -0.5719864918 0.001 2 1.201328e-07 6.027129e-01 0.3972866662
#> 100 -1.4214635888 0.001 2 4.424062e-02 9.524275e-01 0.0033319272
#> 101 1.8171937550 0.001 4 2.073615e-25 1.656226e-10 0.0029054464
#> 102 0.4171888704 0.001 3 1.493687e-18 4.737069e-04 0.9156886415
#> 103 1.3925505433 0.001 4 3.900607e-25 4.721581e-09 0.0361432037
#> 104 -0.3555330429 0.001 3 6.208701e-10 2.967851e-01 0.7032050787
#> 105 -0.0875657737 0.001 3 4.870900e-13 6.195876e-02 0.9375763528
#> 106 0.5386438878 0.001 3 1.155794e-19 1.161012e-04 0.8227363552
#> 107 -0.5907597074 0.001 2 1.835297e-07 6.283586e-01 0.3716409923
#> 108 0.5707716354 0.001 3 6.091145e-20 7.944181e-05 0.7905247866
#> 109 -1.5995551650 0.001 2 1.361784e-01 8.625324e-01 0.0012892714
#> 110 1.1730627818 0.001 4 3.935469e-24 5.569277e-08 0.1183279382
#> 111 0.0594723790 0.001 3 9.373315e-15 1.873460e-02 0.9783212615
#> 112 -0.2282165732 0.001 3 2.179330e-11 1.559887e-01 0.8439459807
#> 113 -0.7618224647 0.001 2 6.606817e-06 8.215267e-01 0.1784666398
#> 114 0.7392782460 0.001 3 2.669673e-21 1.051381e-05 0.5825393278
#> 115 -1.3426338847 0.001 2 2.318796e-02 9.714775e-01 0.0053345260
#> 116 -1.6328115022 0.001 2 1.605512e-01 8.383459e-01 0.0011029344
#> 117 -0.5967424293 0.001 2 2.098114e-07 6.363919e-01 0.3636076325
#> 118 -0.1511206466 0.001 3 2.728257e-12 9.667641e-02 0.9031280663
#> 119 0.3800954605 0.001 3 3.410704e-18 7.196410e-04 0.9350742497
#> 120 1.1583509760 0.001 4 4.734127e-24 6.624151e-08 0.1271535609
#> 121 -0.1651241418 0.001 3 3.985343e-12 1.059840e-01 0.8938551801
#> 122 0.6843520411 0.001 3 7.102215e-21 2.041923e-05 0.6556271150
#> 123 0.1107280282 0.001 3 2.440771e-15 1.173953e-02 0.9829801919
#> 124 -1.7020019755 0.001 2 2.174208e-01 7.817628e-01 0.0008164470
#> 125 -0.7572257527 0.001 2 6.041133e-06 8.174604e-01 0.1825335736
#> 126 2.0386411786 0.001 4 1.974991e-24 9.489540e-11 0.0009426912
#> 127 -0.0229506622 0.001 3 8.485747e-14 3.766036e-02 0.9612624233
#> 128 1.8451084370 0.001 4 2.503773e-25 1.469959e-10 0.0024888195
#> 129 -1.5602818163 0.001 2 1.102138e-01 8.882217e-01 0.0015645698
#> 130 -0.1495995613 0.001 3 2.618163e-12 9.570316e-02 0.9040971385
#> 131 1.1381962380 0.001 4 6.127721e-24 8.409807e-08 0.1400708932
#> 132 0.0166763561 0.001 3 2.927749e-14 2.715207e-02 0.9710839801
#> 133 -0.8911150123 0.001 2 6.988064e-05 9.103473e-01 0.0895828028
#> 134 1.5737691530 0.001 4 1.396080e-25 8.285335e-10 0.0122471134
#> 135 -0.2763618779 0.001 3 7.854603e-11 2.032219e-01 0.7967458061
#> 136 0.5746388483 0.001 3 5.644796e-20 7.588225e-05 0.7864460552
#> 137 0.2067921326 0.001 3 2.103928e-16 4.598328e-03 0.9809967040
#> 138 0.5154479493 0.001 3 1.852573e-19 1.524315e-04 0.8440601290
#> 139 -1.2300685118 0.001 2 7.710659e-03 9.814775e-01 0.0108118076
#> 140 0.2918937896 0.001 3 2.636661e-17 1.892158e-03 0.9665174958
#> 141 1.0509400070 0.001 4 1.988627e-23 2.389686e-07 0.2076359578
#> 142 -0.4952065711 0.001 3 2.002693e-08 4.930228e-01 0.5069760075
#> 143 1.4631048426 0.001 4 2.330451e-25 2.297965e-09 0.0238623995
#> 144 1.4798593004 0.001 4 2.104520e-25 1.950955e-09 0.0215897594
#> 145 -0.9755997806 0.001 2 2.758641e-04 9.453375e-01 0.0543865946
#> 146 -0.7892710772 0.001 2 1.118520e-05 8.444563e-01 0.1555325386
#> 147 -1.6668486752 0.001 2 1.875711e-01 8.114816e-01 0.0009473204
#> 148 -0.1369610929 0.001 3 1.859067e-12 8.789743e-02 0.9118646846
#> 149 -0.7993672624 0.001 2 1.352825e-05 8.523135e-01 0.1476729111
#> 150 -1.2365674340 0.001 2 8.265984e-03 9.813619e-01 0.0103721540
#> 151 0.2554964500 0.001 3 6.333823e-17 2.782799e-03 0.9743634318
#> 152 0.6880108688 0.001 3 6.646192e-21 1.953813e-05 0.6508631313
#> 153 -0.5669903912 0.001 2 1.072165e-07 5.957852e-01 0.4042143563
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#> 798 -0.4610423557 0.001 3 8.770280e-09 4.432882e-01 0.5567098016
#> 799 -0.3737422586 0.001 3 9.900491e-10 3.206873e-01 0.6793052434
#> 800 0.1062610728 0.001 3 2.741909e-15 1.223930e-02 0.9827359264
#> 801 -0.2320947171 0.001 3 2.417751e-11 1.595030e-01 0.8404352308
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#> 887 -1.4113707165 0.001 2 4.095135e-02 9.555149e-01 0.0035337686
#> 888 0.3055476821 0.001 3 1.906992e-17 1.633777e-03 0.9628636077
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#> 895 -0.6662360586 0.001 2 9.500301e-07 7.236565e-01 0.2763424577
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#> 900 0.2926797570 0.001 3 2.587758e-17 1.876290e-03 0.9663181274
#> 901 -1.2435414888 0.001 2 8.899072e-03 9.811800e-01 0.0099209205
#> 902 -0.1787587194 0.001 3 5.760900e-12 1.156592e-01 0.8842080915
#> 903 0.7953145558 0.001 3 1.021799e-21 5.326600e-06 0.5063488967
#> 904 0.4713526297 0.001 3 4.643075e-19 2.546207e-04 0.8799515436
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#> 906 -0.4641634269 0.001 3 9.463978e-09 4.478203e-01 0.5521778595
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#> 908 -1.6542132402 0.001 2 1.773099e-01 8.216887e-01 0.0010014214
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#> 910 -1.2745519560 0.001 2 1.222838e-02 9.796225e-01 0.0081491585
#> 911 1.1249609071 0.001 4 7.280787e-24 9.842739e-08 0.1490870423
#> 912 1.3014329357 0.001 4 9.087144e-25 1.271797e-08 0.0605114246
#> 913 -0.1668918854 0.001 3 4.180483e-12 1.072040e-01 0.8926391190
#> 914 0.7891825346 0.001 3 1.132994e-21 5.738639e-06 0.5146774109
#> 915 0.2104308946 0.001 3 1.921419e-16 4.431582e-03 0.9806414351
#> 916 -0.6162989578 0.001 2 3.236045e-07 6.621273e-01 0.3378722387
#> 917 -1.6865727649 0.001 2 2.040955e-01 7.950340e-01 0.0008705724
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#> 919 0.9692386872 0.001 4 6.486860e-23 6.422292e-07 0.2885045510
#> 920 -0.5386559406 0.001 2 5.582268e-08 5.558176e-01 0.4441817603
#> 921 -0.1591978847 0.001 3 3.395004e-12 1.019681e-01 0.8978572359
#> 922 -0.6589465688 0.001 2 8.140022e-07 7.150844e-01 0.2849146530
#> 923 0.1912015888 0.001 3 3.109454e-16 5.380740e-03 0.9822769972
#> 924 -0.4865636911 0.001 3 1.627750e-08 4.804318e-01 0.5195668370
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#> 926 -1.2238381997 0.001 2 7.208269e-03 9.815403e-01 0.0112513855
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#> 932 -0.5181648736 0.001 2 3.454700e-08 5.263571e-01 0.4736420849
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#> 935 -1.7707748473 0.001 2 2.802710e-01 7.191028e-01 0.0006261654
#> 936 0.8295082817 0.001 4 5.789174e-22 3.514585e-06 0.4602808893
#> 937 0.0736290082 0.001 3 6.449565e-15 1.650583e-02 0.9800232360
#> 938 0.9758288268 0.001 4 5.880900e-23 5.928609e-07 0.2813687318
#> 939 1.8480571233 0.001 4 2.558482e-25 1.452756e-10 0.0024489099
#> 940 -0.0133681029 0.001 3 6.555913e-14 3.484759e-02 0.9639368011
#> 941 -1.1958454193 0.001 2 5.280137e-03 9.812551e-01 0.0134647470
#> 942 -0.7395126869 0.001 2 4.263503e-06 8.011795e-01 0.1988161899
#> 943 0.7502452471 0.001 3 2.205725e-21 9.205420e-06 0.5676665134
#> 944 -0.6788508742 0.001 2 1.238585e-06 7.381374e-01 0.2618613391
#> 945 -1.0163828907 0.001 2 5.101937e-04 9.571801e-01 0.0423097548
#> 946 0.0251941707 0.001 3 2.331685e-14 2.525539e-02 0.9727879572
#> 947 -0.8226211656 0.001 2 2.081556e-05 8.692570e-01 0.1307221409
#> 948 -0.8554401885 0.001 2 3.759516e-05 8.905259e-01 0.1094364899
#> 949 0.0323880653 0.001 3 1.924523e-14 2.374368e-02 0.9741220209
#> 950 0.0850243946 0.001 3 4.779139e-15 1.488555e-02 0.9811588562
#> 951 -0.0793214381 0.001 3 3.895467e-13 5.829205e-02 0.9411892238
#> 952 0.2872075816 0.001 3 2.948563e-17 1.989434e-03 0.9676789734
#> 953 -0.6758799673 0.001 2 1.163876e-06 7.347679e-01 0.2652308630
#> 954 -2.3934600231 0.001 1 7.632252e-01 2.364935e-01 0.0002812539
#> 955 0.1255486949 0.001 3 1.661455e-15 1.021012e-02 0.9835765026
#> 956 0.6185541787 0.001 3 2.414049e-20 4.498570e-05 0.7373249244
#> 957 0.2713999829 0.001 3 4.309072e-17 2.353613e-03 0.9712611304
#> 958 -0.4139832254 0.001 3 2.738871e-09 3.758898e-01 0.6241061721
#> 959 0.7221259501 0.001 3 3.609115e-21 1.293998e-05 0.6056642463
#> 960 0.4819152454 0.001 3 3.716001e-19 2.253045e-04 0.8719137351
#> 961 0.1121141620 0.001 3 2.354318e-15 1.158822e-02 0.9830498858
#> 962 -0.8709011073 0.001 2 4.932581e-05 8.995222e-01 0.1004284719
#> 963 -0.5339051640 0.001 2 4.997417e-08 5.490212e-01 0.4509781240
#> 964 1.1906832401 0.001 4 3.167265e-24 4.528757e-08 0.1084059070
#> 965 -0.3825694779 0.001 3 1.239689e-09 3.325369e-01 0.6674565431
#> 966 -0.8616589904 0.001 2 4.195693e-05 8.942210e-01 0.1057370564
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#> 968 -0.1782422963 0.001 3 5.681118e-12 1.152816e-01 0.8845847462
#> 969 1.0469892678 0.001 4 2.102038e-23 2.506233e-07 0.2111562344
#> 970 0.2811391349 0.001 3 3.409473e-17 2.122445e-03 0.9691146500
#> 971 -1.2880536969 0.001 2 1.397003e-02 9.785450e-01 0.0074849220
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#> 973 -0.2569994350 0.001 3 4.699082e-11 1.832901e-01 0.8166669953
#> 974 1.3894112125 0.001 4 4.003118e-25 4.880451e-09 0.0368066508
#> 975 -0.9968504403 0.001 2 3.815346e-04 9.518688e-01 0.0477496677
#> 976 1.8872956517 0.001 4 3.516862e-25 1.261100e-10 0.0019820283
#> 977 -1.4277779160 0.001 2 4.639480e-02 9.503929e-01 0.0032123172
#> 978 -0.3788338053 0.001 3 1.127282e-09 3.275024e-01 0.6724906549
#> 979 2.9048924184 0.001 4 3.853298e-17 3.593965e-09 0.0001736585
#> 980 -0.5651496356 0.001 2 1.028055e-07 5.932227e-01 0.4067767836
#> 981 0.7438276158 0.001 3 2.465981e-21 9.950009e-06 0.5763761975
#> 982 1.3977206450 0.001 4 3.739475e-25 4.471946e-09 0.0350744789
#> 983 0.8343820028 0.001 4 5.344562e-22 3.312238e-06 0.4537882959
#> 984 0.2773495254 0.001 3 3.734140e-17 2.209723e-03 0.9699726931
#> 985 -0.7339024885 0.001 2 3.813435e-06 7.958204e-01 0.2041757305
#> 986 0.3338417043 0.001 3 9.828184e-18 1.201060e-03 0.9539449870
#> 987 0.9713574552 0.001 4 6.285203e-23 6.259221e-07 0.2861991110
#> 988 -2.1352394760 0.001 1 6.123796e-01 3.873427e-01 0.0002777867
#> 989 0.7055119999 0.001 3 4.850009e-21 1.581807e-05 0.6278352136
#> 990 -0.2176876937 0.001 3 1.643347e-11 1.467065e-01 0.8532173574
#> 991 1.5535784532 0.001 4 1.488422e-25 9.867067e-10 0.0138416645
#> 992 1.1082728710 0.001 4 9.078224e-24 1.200986e-07 0.1610721634
#> 993 -0.9111795827 0.001 2 9.800402e-05 9.200938e-01 0.0798081944
#> 994 0.6079440784 0.001 3 2.956681e-20 5.106115e-05 0.7496434027
#> 995 -0.1731311870 0.001 3 4.948476e-12 1.115918e-01 0.8882645708
#> 996 0.5554467733 0.001 3 8.252483e-20 9.523405e-05 0.8062679380
#> 997 -0.7452989644 0.001 2 4.780565e-06 8.066048e-01 0.1933904168
#> 998 -0.1057905389 0.001 3 7.984262e-13 7.071513e-02 0.9289208506
#> 999 0.1312222453 0.001 3 1.434812e-15 9.673969e-03 0.9837182399
#> 1000 0.2365478775 0.001 3 1.006721e-16 3.390004e-03 0.9774390873
#> p.level.4
#> 1 2.750999e-11
#> 2 9.984202e-01
#> 3 5.823164e-08
#> 4 1.228210e-09
#> 5 1.542605e-03
#> 6 2.596782e-05
#> 7 1.258030e-06
#> 8 2.973790e-07
#> 9 4.543602e-04
#> 10 3.304520e-03
#> 11 7.791710e-07
#> 12 2.839140e-11
#> 13 4.780250e-07
#> 14 4.413139e-06
#> 15 2.211104e-05
#> 16 6.332622e-09
#> 17 8.740430e-01
#> 18 4.636143e-02
#> 19 6.677052e-02
#> 20 5.949480e-05
#> 21 5.075418e-02
#> 22 9.993509e-01
#> 23 6.131996e-01
#> 24 2.910276e-05
#> 25 4.899103e-11
#> 26 1.043393e-08
#> 27 2.759449e-03
#> 28 7.534852e-03
#> 29 1.288822e-02
#> 30 2.483896e-01
#> 31 2.898523e-01
#> 32 9.986552e-01
#> 33 5.801690e-05
#> 34 6.156287e-11
#> 35 1.589648e-07
#> 36 2.303317e-07
#> 37 1.010954e-03
#> 38 1.060289e-08
#> 39 4.610372e-01
#> 40 2.428056e-09
#> 41 1.954239e-02
#> 42 1.257405e-04
#> 43 2.709040e-01
#> 44 1.378166e-10
#> 45 1.252165e-05
#> 46 1.960501e-01
#> 47 3.110584e-08
#> 48 8.178583e-03
#> 49 1.425449e-01
#> 50 1.544885e-09
#> 51 2.308571e-08
#> 52 1.522255e-02
#> 53 2.119626e-01
#> 54 9.930208e-01
#> 55 2.513720e-06
#> 56 5.119700e-01
#> 57 1.441672e-01
#> 58 1.463426e-10
#> 59 3.773070e-07
#> 60 2.796981e-05
#> 61 3.066899e-02
#> 62 6.599256e-01
#> 63 8.104711e-01
#> 64 5.734940e-04
#> 65 8.634932e-01
#> 66 1.101035e-01
#> 67 9.978710e-01
#> 68 2.384859e-11
#> 69 2.048449e-01
#> 70 3.569709e-01
#> 71 1.178955e-06
#> 72 2.574160e-02
#> 73 1.338141e-07
#> 74 2.337612e-05
#> 75 2.251201e-03
#> 76 1.311254e-08
#> 77 2.043994e-09
#> 78 3.318525e-05
#> 79 3.665187e-01
#> 80 7.160652e-06
#> 81 9.118240e-03
#> 82 1.777870e-10
#> 83 4.784115e-07
#> 84 9.617603e-01
#> 85 5.493896e-03
#> 86 5.861076e-01
#> 87 8.495766e-07
#> 88 9.970122e-01
#> 89 7.078438e-10
#> 90 7.051224e-10
#> 91 1.884710e-02
#> 92 2.347660e-10
#> 93 3.194892e-01
#> 94 1.023033e-01
#> 95 8.694827e-01
#> 96 4.463441e-04
#> 97 3.903374e-01
#> 98 3.369583e-08
#> 99 3.479852e-07
#> 100 3.056255e-11
#> 101 9.970946e-01
#> 102 8.383765e-02
#> 103 9.638568e-01
#> 104 9.834829e-06
#> 105 4.648865e-04
#> 106 1.771475e-01
#> 107 2.602403e-07
#> 108 2.093958e-01
#> 109 2.394163e-11
#> 110 8.816720e-01
#> 111 2.944141e-03
#> 112 6.534766e-05
#> 113 1.950409e-08
#> 114 4.174502e-01
#> 115 4.217660e-11
#> 116 2.452349e-11
#> 117 2.372571e-07
#> 118 1.955214e-04
#> 119 6.420611e-02
#> 120 8.728464e-01
#> 121 1.607835e-04
#> 122 3.443525e-01
#> 123 5.280273e-03
#> 124 2.749734e-11
#> 125 2.086669e-08
#> 126 9.990573e-01
#> 127 1.077214e-03
#> 128 9.975112e-01
#> 129 2.391221e-11
#> 130 1.997005e-04
#> 131 8.599290e-01
#> 132 1.763954e-03
#> 133 3.155048e-09
#> 134 9.877529e-01
#> 135 3.226980e-05
#> 136 2.134781e-01
#> 137 1.440497e-02
#> 138 1.557874e-01
#> 139 8.462564e-11
#> 140 3.159035e-02
#> 141 7.923638e-01
#> 142 1.145581e-06
#> 143 9.761376e-01
#> 144 9.784102e-01
#> 145 1.066390e-09
#> 146 1.307606e-08
#> 147 2.566936e-11
#> 148 2.378822e-04
#> 149 1.130536e-08
#> 150 8.068168e-11
#> 151 2.285377e-02
#> 152 3.491173e-01
#> 153 3.759949e-07
#> 154 1.139211e-07
#> 155 1.046830e-03
#> 156 7.041498e-01
#> 157 3.503004e-04
#> 158 4.610786e-10
#> 159 2.433637e-02
#> 160 7.586440e-04
#> 161 3.941280e-10
#> 162 7.569119e-01
#> 163 1.153849e-10
#> 164 2.923981e-01
#> 165 3.771921e-08
#> 166 1.183890e-06
#> 167 1.615888e-09
#> 168 8.966413e-01
#> 169 2.890560e-09
#> 170 4.287813e-01
#> 171 4.834190e-08
#> 172 1.113881e-02
#> 173 3.452169e-06
#> 174 8.475106e-06
#> 175 1.445414e-01
#> 176 8.772326e-01
#> 177 1.911883e-10
#> 178 1.361449e-02
#> 179 9.988393e-01
#> 180 6.944668e-09
#> 181 4.435430e-11
#> 182 5.158163e-11
#> 183 5.676209e-08
#> 184 4.820545e-06
#> 185 1.286273e-08
#> 186 1.163068e-08
#> 187 2.786752e-02
#> 188 4.280035e-01
#> 189 9.749520e-01
#> 190 5.476883e-01
#> 191 9.940009e-01
#> 192 2.690919e-06
#> 193 9.987760e-01
#> 194 1.930123e-01
#> 195 1.453323e-01
#> 196 4.582192e-03
#> 197 4.172420e-01
#> 198 7.732517e-02
#> 199 2.698752e-11
#> 200 6.357063e-09
#> 201 8.510302e-06
#> 202 2.976658e-03
#> 203 8.843483e-01
#> 204 2.474765e-11
#> 205 2.888844e-09
#> 206 9.709328e-01
#> 207 7.748497e-07
#> 208 1.107274e-10
#> 209 9.531031e-01
#> 210 5.368890e-02
#> 211 7.668307e-03
#> 212 5.114609e-05
#> 213 8.066810e-04
#> 214 2.865473e-09
#> 215 1.409191e-01
#> 216 9.991523e-01
#> 217 2.404802e-05
#> 218 9.997211e-01
#> 219 5.357016e-03
#> 220 1.207393e-10
#> 221 4.981360e-01
#> 222 6.841827e-11
#> 223 8.213634e-01
#> 224 7.813949e-06
#> 225 7.101712e-02
#> 226 3.613608e-05
#> 227 3.832111e-05
#> 228 4.584621e-01
#> 229 9.994589e-01
#> 230 2.523093e-11
#> 231 3.252037e-02
#> 232 1.832993e-04
#> 233 4.443101e-01
#> 234 6.195089e-11
#> 235 7.647843e-09
#> 236 3.961620e-11
#> 237 5.976376e-08
#> 238 9.241438e-01
#> 239 3.968833e-07
#> 240 4.270600e-08
#> 241 4.989454e-02
#> 242 3.520844e-05
#> 243 8.133213e-02
#> 244 2.926824e-02
#> 245 1.800900e-04
#> 246 1.639460e-01
#> 247 1.413376e-07
#> 248 9.983743e-01
#> 249 4.893296e-01
#> 250 1.551363e-02
#> 251 1.387881e-04
#> 252 1.138328e-02
#> 253 1.669346e-03
#> 254 2.107765e-01
#> 255 1.081490e-03
#> 256 5.801650e-01
#> 257 1.890553e-03
#> 258 2.046906e-03
#> 259 2.804723e-11
#> 260 3.108191e-11
#> 261 8.006154e-02
#> 262 9.996317e-01
#> 263 5.240146e-06
#> 264 1.839752e-04
#> 265 5.108062e-05
#> 266 3.160333e-02
#> 267 3.957407e-03
#> 268 8.548532e-02
#> 269 9.996664e-01
#> 270 8.211437e-06
#> 271 1.093632e-10
#> 272 4.086532e-01
#> 273 1.766607e-02
#> 274 5.793811e-04
#> 275 1.403427e-08
#> 276 1.743968e-07
#> 277 4.767990e-01
#> 278 7.303614e-09
#> 279 9.813515e-01
#> 280 9.997319e-01
#> 281 6.869523e-04
#> 282 2.682769e-02
#> 283 2.482813e-09
#> 284 7.019586e-04
#> 285 9.296385e-01
#> 286 1.334134e-10
#> 287 9.918293e-01
#> 288 6.856822e-01
#> 289 2.667633e-11
#> 290 8.641493e-01
#> 291 7.536409e-04
#> 292 8.133005e-09
#> 293 2.473859e-02
#> 294 2.293454e-01
#> 295 1.384783e-10
#> 296 4.210979e-09
#> 297 4.034173e-09
#> 298 6.179265e-01
#> 299 1.822593e-09
#> 300 5.291373e-01
#> 301 2.622924e-11
#> 302 2.685990e-07
#> 303 2.953010e-09
#> 304 3.366907e-03
#> 305 9.980504e-01
#> 306 8.754998e-01
#> 307 1.942555e-03
#> 308 1.625764e-01
#> 309 9.994818e-01
#> 310 4.306259e-04
#> 311 1.537898e-03
#> 312 1.241329e-01
#> 313 6.454274e-01
#> 314 7.138897e-01
#> 315 2.568934e-11
#> 316 2.236382e-05
#> 317 1.851446e-09
#> 318 1.608424e-01
#> 319 6.664766e-09
#> 320 1.542605e-03
#> 321 3.773071e-01
#> 322 4.044506e-06
#> 323 2.962992e-09
#> 324 6.695458e-02
#> 325 8.189467e-09
#> 326 8.630581e-02
#> 327 4.274854e-04
#> 328 8.475536e-02
#> 329 8.891106e-01
#> 330 9.601054e-01
#> 331 8.704718e-01
#> 332 1.347838e-06
#> 333 6.631101e-07
#> 334 1.666791e-04
#> 335 2.435775e-02
#> 336 2.605616e-11
#> 337 2.069048e-06
#> 338 9.387877e-08
#> 339 5.996873e-06
#> 340 8.614717e-01
#> 341 7.788594e-07
#> 342 3.258749e-11
#> 343 2.240684e-01
#> 344 4.445323e-02
#> 345 9.990562e-01
#> 346 1.678220e-03
#> 347 2.520251e-11
#> 348 1.532686e-03
#> 349 2.494760e-11
#> 350 9.390521e-01
#> 351 4.446190e-05
#> 352 2.402634e-11
#> 353 4.650661e-04
#> 354 6.424917e-01
#> 355 1.199601e-06
#> 356 4.180819e-01
#> 357 2.312025e-08
#> 358 7.028313e-06
#> 359 5.120788e-10
#> 360 5.086875e-02
#> 361 2.554831e-10
#> 362 3.364533e-10
#> 363 6.329277e-05
#> 364 2.970362e-06
#> 365 7.636451e-01
#> 366 2.301091e-09
#> 367 6.276376e-02
#> 368 1.615796e-03
#> 369 1.575220e-01
#> 370 6.147326e-01
#> 371 2.815809e-06
#> 372 5.042343e-03
#> 373 9.445015e-01
#> 374 9.995672e-01
#> 375 6.504076e-01
#> 376 2.844208e-02
#> 377 8.343914e-03
#> 378 2.978712e-10
#> 379 1.362906e-02
#> 380 4.254230e-11
#> 381 2.471313e-09
#> 382 1.456662e-09
#> 383 1.095985e-05
#> 384 5.114441e-09
#> 385 9.984276e-01
#> 386 2.885192e-11
#> 387 1.961721e-04
#> 388 2.668773e-01
#> 389 5.403046e-02
#> 390 1.155021e-03
#> 391 5.867775e-02
#> 392 9.997525e-01
#> 393 9.982781e-01
#> 394 2.080208e-10
#> 395 6.552525e-01
#> 396 8.213286e-01
#> 397 5.293874e-04
#> 398 3.321586e-10
#> 399 7.187716e-07
#> 400 3.240310e-06
#> 401 5.599565e-03
#> 402 1.427974e-10
#> 403 2.542699e-11
#> 404 6.993191e-05
#> 405 1.879730e-04
#> 406 2.774616e-02
#> 407 1.166525e-03
#> 408 1.126691e-05
#> 409 9.991276e-01
#> 410 8.438336e-01
#> 411 8.118924e-01
#> 412 9.032733e-10
#> 413 3.661400e-01
#> 414 3.720235e-11
#> 415 6.757878e-01
#> 416 7.739477e-01
#> 417 5.287203e-03
#> 418 3.912077e-06
#> 419 9.369529e-01
#> 420 1.025076e-05
#> 421 2.735812e-02
#> 422 5.642153e-11
#> 423 1.164262e-10
#> 424 6.482667e-02
#> 425 6.043771e-05
#> 426 1.220251e-06
#> 427 1.316446e-06
#> 428 3.559244e-03
#> 429 2.903380e-10
#> 430 4.749401e-11
#> 431 2.865136e-01
#> 432 1.121682e-01
#> 433 5.475006e-03
#> 434 6.348845e-02
#> 435 1.004709e-02
#> 436 1.517526e-08
#> 437 2.146391e-07
#> 438 1.542605e-03
#> 439 2.453077e-03
#> 440 1.339390e-05
#> 441 7.163497e-07
#> 442 4.252224e-01
#> 443 1.399048e-08
#> 444 9.802014e-01
#> 445 1.062014e-02
#> 446 6.777847e-01
#> 447 4.464476e-01
#> 448 6.871381e-01
#> 449 1.392850e-03
#> 450 2.964968e-01
#> 451 5.663172e-01
#> 452 6.067659e-06
#> 453 1.706387e-05
#> 454 1.876364e-01
#> 455 1.452945e-01
#> 456 6.619050e-05
#> 457 3.036874e-01
#> 458 2.177402e-09
#> 459 3.498605e-01
#> 460 2.771534e-02
#> 461 1.186450e-08
#> 462 9.512473e-01
#> 463 1.482664e-06
#> 464 8.554604e-06
#> 465 9.891797e-01
#> 466 6.022264e-02
#> 467 1.415871e-07
#> 468 7.431403e-02
#> 469 3.154229e-06
#> 470 2.998864e-01
#> 471 2.451672e-03
#> 472 3.154219e-06
#> 473 1.090647e-01
#> 474 3.569696e-05
#> 475 6.737963e-01
#> 476 1.563055e-07
#> 477 9.996515e-01
#> 478 9.997248e-01
#> 479 1.542605e-03
#> 480 1.429028e-09
#> 481 2.426638e-02
#> 482 8.707003e-09
#> 483 9.997765e-01
#> 484 7.216297e-08
#> 485 6.539444e-01
#> 486 7.271564e-06
#> 487 7.015739e-01
#> 488 1.692135e-02
#> 489 3.803480e-11
#> 490 1.527075e-02
#> 491 4.329951e-05
#> 492 3.494878e-02
#> 493 4.578186e-05
#> 494 5.959228e-06
#> 495 2.753787e-03
#> 496 3.277023e-06
#> 497 3.467806e-01
#> 498 2.542460e-10
#> 499 3.706205e-01
#> 500 1.108120e-03
#> 501 6.768586e-11
#> 502 2.036571e-01
#> 503 1.479565e-01
#> 504 1.179935e-02
#> 505 7.764863e-03
#> 506 1.566475e-01
#> 507 2.173751e-04
#> 508 1.152362e-04
#> 509 3.947785e-10
#> 510 3.392762e-07
#> 511 1.705880e-02
#> 512 6.435474e-11
#> 513 1.811521e-05
#> 514 3.097217e-07
#> 515 8.277490e-11
#> 516 2.535638e-01
#> 517 5.106493e-08
#> 518 3.562406e-04
#> 519 5.651747e-01
#> 520 1.248681e-03
#> 521 9.041582e-07
#> 522 1.204713e-04
#> 523 1.456479e-09
#> 524 6.855194e-09
#> 525 3.554500e-01
#> 526 9.823109e-01
#> 527 2.508023e-01
#> 528 2.001246e-04
#> 529 5.333080e-06
#> 530 1.469599e-05
#> 531 3.395227e-01
#> 532 1.136939e-09
#> 533 1.899491e-09
#> 534 2.082528e-06
#> 535 1.832414e-06
#> 536 7.023289e-02
#> 537 6.302303e-11
#> 538 1.833855e-04
#> 539 4.079456e-02
#> 540 6.935212e-04
#> 541 4.252672e-02
#> 542 2.148568e-04
#> 543 4.325144e-01
#> 544 5.853576e-01
#> 545 5.795073e-08
#> 546 8.385612e-03
#> 547 1.542605e-03
#> 548 2.520757e-01
#> 549 4.007827e-11
#> 550 2.402534e-11
#> 551 1.007408e-03
#> 552 5.551326e-05
#> 553 9.823297e-01
#> 554 6.338124e-08
#> 555 8.751285e-01
#> 556 9.688729e-01
#> 557 6.716005e-07
#> 558 2.700185e-11
#> 559 9.163235e-01
#> 560 2.091253e-03
#> 561 1.716807e-07
#> 562 5.236596e-04
#> 563 1.359076e-08
#> 564 3.393827e-02
#> 565 8.605416e-11
#> 566 1.345607e-01
#> 567 1.252307e-02
#> 568 8.949179e-06
#> 569 2.473488e-11
#> 570 7.919103e-07
#> 571 2.577470e-05
#> 572 9.998219e-01
#> 573 9.984901e-01
#> 574 1.060222e-02
#> 575 6.058169e-03
#> 576 1.050985e-03
#> 577 1.681959e-06
#> 578 5.296823e-06
#> 579 8.475001e-01
#> 580 1.565046e-10
#> 581 2.630585e-11
#> 582 4.845660e-01
#> 583 8.690859e-02
#> 584 1.563907e-04
#> 585 5.876365e-05
#> 586 1.697135e-01
#> 587 1.991162e-04
#> 588 3.880482e-07
#> 589 7.931034e-11
#> 590 1.641510e-06
#> 591 3.582467e-03
#> 592 2.506562e-09
#> 593 6.569822e-01
#> 594 6.555137e-09
#> 595 6.442339e-10
#> 596 5.868920e-04
#> 597 9.979549e-01
#> 598 1.727354e-05
#> 599 2.385447e-11
#> 600 4.186613e-03
#> 601 2.542089e-11
#> 602 9.952584e-01
#> 603 7.809220e-04
#> 604 8.391490e-01
#> 605 1.627972e-07
#> 606 9.504598e-01
#> 607 2.666889e-11
#> 608 1.555511e-05
#> 609 3.637323e-08
#> 610 5.512046e-11
#> 611 4.136567e-10
#> 612 4.850112e-04
#> 613 3.956213e-11
#> 614 8.749139e-06
#> 615 4.116121e-01
#> 616 9.863678e-01
#> 617 1.320750e-04
#> 618 1.360927e-01
#> 619 8.722952e-07
#> 620 1.656938e-05
#> 621 1.924612e-09
#> 622 9.967415e-01
#> 623 9.831940e-01
#> 624 2.110055e-04
#> 625 2.898094e-07
#> 626 3.888747e-09
#> 627 5.139813e-03
#> 628 9.996201e-01
#> 629 8.291625e-05
#> 630 9.997791e-01
#> 631 1.113716e-01
#> 632 2.259340e-02
#> 633 4.107215e-11
#> 634 2.578837e-02
#> 635 9.268687e-07
#> 636 1.055405e-10
#> 637 9.367336e-07
#> 638 7.268871e-04
#> 639 2.440692e-11
#> 640 2.026881e-07
#> 641 1.344604e-10
#> 642 3.536170e-01
#> 643 4.051761e-01
#> 644 8.568382e-01
#> 645 2.579779e-09
#> 646 1.564710e-02
#> 647 1.145052e-02
#> 648 4.741498e-03
#> 649 1.797780e-10
#> 650 2.753838e-01
#> 651 1.123945e-01
#> 652 5.688383e-11
#> 653 4.630798e-02
#> 654 2.209231e-09
#> 655 9.997496e-01
#> 656 9.871544e-01
#> 657 1.096573e-06
#> 658 4.177724e-02
#> 659 7.101951e-07
#> 660 3.163842e-09
#> 661 3.029159e-08
#> 662 3.250801e-01
#> 663 9.977889e-01
#> 664 3.778166e-03
#> 665 2.378194e-01
#> 666 1.960510e-10
#> 667 2.984291e-11
#> 668 1.433180e-10
#> 669 5.851824e-05
#> 670 9.334099e-04
#> 671 1.838599e-02
#> 672 3.179179e-11
#> 673 4.864849e-01
#> 674 3.624866e-05
#> 675 6.171302e-02
#> 676 8.906454e-04
#> 677 1.317116e-02
#> 678 3.126294e-01
#> 679 2.184067e-06
#> 680 1.237152e-08
#> 681 2.783651e-11
#> 682 1.291875e-05
#> 683 3.882280e-09
#> 684 1.720983e-08
#> 685 8.697666e-02
#> 686 2.988907e-09
#> 687 2.651025e-09
#> 688 7.493971e-10
#> 689 9.876009e-02
#> 690 3.043393e-03
#> 691 1.449281e-03
#> 692 1.562758e-01
#> 693 9.636540e-01
#> 694 4.175591e-01
#> 695 5.449334e-02
#> 696 4.534962e-02
#> 697 1.388809e-09
#> 698 3.280216e-01
#> 699 2.374459e-09
#> 700 9.021263e-01
#> 701 1.344525e-07
#> 702 9.998091e-01
#> 703 5.720528e-01
#> 704 5.468136e-01
#> 705 9.946722e-01
#> 706 5.632966e-01
#> 707 9.742922e-01
#> 708 5.113796e-01
#> 709 7.583537e-08
#> 710 6.369699e-01
#> 711 4.019581e-01
#> 712 9.985940e-01
#> 713 1.982545e-03
#> 714 7.160250e-01
#> 715 2.395784e-11
#> 716 3.212117e-10
#> 717 2.797628e-01
#> 718 9.043673e-01
#> 719 1.537621e-04
#> 720 2.938173e-02
#> 721 5.719155e-01
#> 722 1.157365e-02
#> 723 2.731175e-02
#> 724 4.497788e-02
#> 725 2.903867e-08
#> 726 5.586565e-05
#> 727 4.308768e-02
#> 728 5.628350e-06
#> 729 8.519594e-02
#> 730 2.955589e-07
#> 731 2.400380e-11
#> 732 3.539976e-03
#> 733 1.176707e-08
#> 734 1.811002e-10
#> 735 1.021875e-04
#> 736 1.032885e-07
#> 737 1.411869e-01
#> 738 4.388241e-04
#> 739 1.694843e-02
#> 740 3.661583e-07
#> 741 3.034175e-06
#> 742 1.095486e-10
#> 743 9.996281e-01
#> 744 9.458257e-01
#> 745 9.484417e-06
#> 746 1.989350e-09
#> 747 3.692676e-08
#> 748 1.462246e-07
#> 749 9.475743e-01
#> 750 4.829869e-01
#> 751 2.253441e-01
#> 752 1.600566e-06
#> 753 1.457012e-02
#> 754 8.631504e-08
#> 755 1.834777e-04
#> 756 8.411586e-08
#> 757 4.269853e-08
#> 758 1.405844e-01
#> 759 9.577832e-02
#> 760 8.408819e-01
#> 761 1.054103e-02
#> 762 3.021104e-01
#> 763 4.509345e-06
#> 764 1.364817e-10
#> 765 5.972031e-01
#> 766 3.494882e-11
#> 767 9.453482e-01
#> 768 1.759919e-03
#> 769 9.114611e-01
#> 770 7.894999e-02
#> 771 7.033338e-09
#> 772 6.444445e-11
#> 773 2.313687e-07
#> 774 8.967824e-02
#> 775 9.251063e-03
#> 776 9.982441e-01
#> 777 2.491141e-11
#> 778 9.302905e-10
#> 779 9.208267e-11
#> 780 5.485991e-09
#> 781 9.997695e-01
#> 782 1.886964e-04
#> 783 2.353419e-06
#> 784 9.998122e-01
#> 785 1.908063e-10
#> 786 3.654869e-05
#> 787 1.126079e-03
#> 788 3.613743e-01
#> 789 7.593464e-01
#> 790 8.399225e-01
#> 791 1.551499e-03
#> 792 2.039145e-04
#> 793 6.517886e-01
#> 794 1.677578e-09
#> 795 6.081294e-01
#> 796 3.728770e-02
#> 797 9.296178e-09
#> 798 1.945567e-06
#> 799 7.453594e-06
#> 800 5.024773e-03
#> 801 6.177131e-05
#> 802 2.311158e-03
#> 803 9.222083e-04
#> 804 4.879810e-04
#> 805 4.371868e-06
#> 806 2.184430e-05
#> 807 2.134564e-10
#> 808 9.987093e-01
#> 809 3.535026e-04
#> 810 4.368119e-02
#> 811 3.013008e-03
#> 812 8.609620e-01
#> 813 5.460313e-09
#> 814 9.993348e-01
#> 815 2.882935e-02
#> 816 2.419971e-06
#> 817 7.318554e-09
#> 818 1.708750e-08
#> 819 4.016783e-06
#> 820 7.543071e-03
#> 821 9.784189e-01
#> 822 9.719429e-01
#> 823 1.865807e-05
#> 824 1.000359e-01
#> 825 4.860985e-03
#> 826 2.363336e-03
#> 827 8.073087e-11
#> 828 9.071058e-01
#> 829 9.872456e-01
#> 830 2.226424e-04
#> 831 5.967613e-07
#> 832 1.362986e-04
#> 833 1.117599e-01
#> 834 3.870034e-06
#> 835 4.638960e-01
#> 836 9.194871e-01
#> 837 9.645107e-09
#> 838 2.092466e-04
#> 839 5.228103e-01
#> 840 2.571356e-02
#> 841 1.218666e-02
#> 842 7.853432e-01
#> 843 1.043602e-04
#> 844 1.688259e-04
#> 845 1.059767e-08
#> 846 9.232465e-01
#> 847 9.997577e-01
#> 848 9.975554e-01
#> 849 5.095713e-04
#> 850 3.525491e-11
#> 851 2.384692e-11
#> 852 4.246831e-05
#> 853 5.531728e-08
#> 854 2.385714e-11
#> 855 1.682975e-04
#> 856 4.644829e-02
#> 857 2.037561e-03
#> 858 3.966604e-02
#> 859 1.542605e-03
#> 860 2.085284e-10
#> 861 9.322423e-01
#> 862 9.993612e-01
#> 863 4.574602e-03
#> 864 3.501551e-02
#> 865 1.846022e-01
#> 866 8.572432e-11
#> 867 2.209408e-06
#> 868 4.434949e-01
#> 869 2.623737e-01
#> 870 1.544856e-03
#> 871 4.127599e-02
#> 872 1.124854e-04
#> 873 6.488363e-01
#> 874 1.640049e-07
#> 875 6.826178e-02
#> 876 9.907018e-01
#> 877 1.891924e-09
#> 878 1.263258e-08
#> 879 7.077248e-02
#> 880 8.373015e-01
#> 881 9.998263e-01
#> 882 2.235199e-01
#> 883 4.882051e-03
#> 884 2.649956e-04
#> 885 3.609224e-11
#> 886 9.998059e-01
#> 887 3.160938e-11
#> 888 3.550262e-02
#> 889 4.074645e-01
#> 890 8.896785e-01
#> 891 2.308499e-03
#> 892 8.463792e-02
#> 893 1.282680e-02
#> 894 7.319649e-01
#> 895 8.163886e-08
#> 896 9.459104e-01
#> 897 5.704093e-11
#> 898 1.365001e-02
#> 899 6.756466e-03
#> 900 3.180558e-02
#> 901 7.673129e-11
#> 902 1.326962e-04
#> 903 4.936458e-01
#> 904 1.197938e-01
#> 905 4.597381e-01
#> 906 1.853779e-06
#> 907 5.629924e-04
#> 908 2.517631e-11
#> 909 9.911535e-01
#> 910 6.217049e-11
#> 911 8.509129e-01
#> 912 9.394886e-01
#> 913 1.568438e-04
#> 914 4.853169e-01
#> 915 1.492698e-02
#> 916 1.754688e-07
#> 917 2.660872e-11
#> 918 1.068955e-01
#> 919 7.114948e-01
#> 920 5.835408e-07
#> 921 1.746947e-04
#> 922 9.123464e-08
#> 923 1.234226e-02
#> 924 1.309981e-06
#> 925 2.473843e-11
#> 926 8.866330e-11
#> 927 4.774615e-01
#> 928 1.137733e-07
#> 929 2.486300e-11
#> 930 4.684623e-01
#> 931 9.583011e-01
#> 932 8.021202e-07
#> 933 4.598455e-11
#> 934 6.898399e-06
#> 935 3.342093e-11
#> 936 5.397156e-01
#> 937 3.470934e-03
#> 938 7.186307e-01
#> 939 9.975511e-01
#> 940 1.215609e-03
#> 941 1.104417e-10
#> 942 2.710695e-08
#> 943 4.323243e-01
#> 944 6.739212e-08
#> 945 6.560342e-10
#> 946 1.956653e-03
#> 947 8.114323e-09
#> 948 5.127389e-09
#> 949 2.134302e-03
#> 950 3.955591e-03
#> 951 5.187267e-04
#> 952 3.033159e-02
#> 953 7.050119e-08
#> 954 2.993566e-09
#> 955 6.213378e-03
#> 956 2.626301e-01
#> 957 2.638526e-02
#> 958 4.022978e-06
#> 959 3.943228e-01
#> 960 1.278610e-01
#> 961 5.361891e-03
#> 962 4.146821e-09
#> 963 6.282042e-07
#> 964 8.915940e-01
#> 965 6.513435e-06
#> 966 4.706292e-09
#> 967 7.227421e-01
#> 968 1.336683e-04
#> 969 7.888435e-01
#> 970 2.876290e-02
#> 971 5.710143e-11
#> 972 2.158579e-03
#> 973 4.293306e-05
#> 974 9.631933e-01
#> 975 8.251479e-10
#> 976 9.980180e-01
#> 977 2.995881e-11
#> 978 6.896125e-06
#> 979 9.998263e-01
#> 980 3.868768e-07
#> 981 4.236139e-01
#> 982 9.649255e-01
#> 983 5.462084e-01
#> 984 2.781758e-02
#> 985 2.946207e-08
#> 986 4.485395e-02
#> 987 7.138003e-01
#> 988 2.876223e-10
#> 989 3.721490e-01
#> 990 7.609660e-05
#> 991 9.861583e-01
#> 992 8.389277e-01
#> 993 2.417265e-09
#> 994 2.503055e-01
#> 995 1.436655e-04
#> 996 1.936368e-01
#> 997 2.488044e-08
#> 998 3.640244e-04
#> 999 6.607791e-03
#> 1000 1.917091e-02
#>
#> $cutscore
#> [1] -2.0 -0.5 0.8
#>
# }