pfit: Person-Fit statistics
In PP: Person Parameter Estimation
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Compute several person fit statistic for the 1-PL, 2-PL, 3-PL, 4-PL and PCM.
Usage
1
2
3
4
Arguments
respm
numeric response matrix
pp
object of the class fourpl with estimated person parameter
fitindices
character vector of desired person fit statistics c("lz","lzstar","infit","outfit")
SE
logical: if true standard errors are computed using jackknife method
Details
Please note that currently only the likelihood based LZ-Index (Drasgow, Levine, and Williams, 1985) and LZ*-Index (Snijders, 2001) are implemented. Also the INFIT-OUTIFT (Wright and Masters, 1982, 1990) statistic as well as the polytomouse version of INFIT-OUTFIT are supported. Other person fit statistics will be added soon.
The calculation of the person fit statistics requires the numeric response-matrix as well as an object of the fourpl-class. So first you should estimate the person parameter and afterwards calculate the person fit statistics. You could also use our PPass-function to estimate the person parameter and calculate the desired person fit simultaneously.
It is possible to calculate several person fit statistics at once, you only have to specify them in a vector.
For the Partial Credit model we currently support the infit-outfit statistic. Please submit also the numeric response-matrix as well as the estimated person parameter with an gpcm-class.
Value
list of person-fits for each person-fit statistic
the list of person-fits contains the calculated person-fit (like lz, lzstar) and also additional information like p-value or standard error if desired.
the additional information is provided after the short form of the personfit
lz (lz)
lzstar (lzs)
infit the mean-square statistic (in)
outfit the mean-square statistic (ou)
_unst: unstandardised
_se: standard error
_t: t-value
_chisq: $chi^2$-value
_df: defrees of freedom
_pv: p-value
Author(s)
Jan Steinfeld
References
Armstrong, R. D., Stoumbos, Z. G., Kung, M. T. & Shi, M. (2007). On the performance of the lz person-fit statistic. Practical Assessment, Research & Evaluation, 12(16). Chicago
De La Torre, J., & Deng, W. (2008). Improving Person-Fit Assessment by Correcting the Ability Estimate and Its Reference Distribution. Journal of Educational Measurement, 45(2), 159-177.
Drasgow, F., Levine, M. V. & Williams, E. A. (1985) Appropriateness measurement with polychotomous item response models and standardized indices. British Journal of Mathematical and Statistical Psychology, 38(1), 67–86.
Efron, B., & Stein, C. (1981). The jackknife estimate of variance. The Annals of Statistics, 9(3), 586-596.
Karabatsos, G. (2003) Comparing the Aberrant Response Detection Performance of Thirty-Six Person-Fit Statistics. Applied Measurement In Education, 16(4), 277–298.
Magis, D., Raiche, G. & Beland, S. (2012) A didactic presentation of Snijders's l[sub]z[/sub] index of person fit with emphasis on response model selection and ability estimation. Journal of Educational and Behavioral Statistics, 37(1), 57–81.
Meijer, R. R. & Sijtsma, K. (2001) Methodology review: Evaluating person fit. Applied Psychological Measurement, 25(2), 107–135.
Molenaar, I. W. & Hoijtink, H. (1990) The many null distributions of person fit indices. Psychometrika, 55(1), 75–106.
Mousavi, A. & Cui, Y. Evaluate the performance of and of person fit: A simulation study.
Reise, S. P. (1990). A comparison of item-and person-fit methods of assessing model-data fit in IRT. Applied Psychological Measurement, 14(2), 127-137.
Snijders, T. B. (2001) Asymptotic null distribution of person fit statistics with estimated person parameter. Psychometrika, 66(3), 331–342.
Wright, B. D. & Masters, G. N. (1990). Computation of OUTFIT and INFIT Statistics. Rasch Measurement Transactions, 3:4, 84-85.
Wright, B. D., & Masters, G. N. (1982). Rating Scale Analysis. Rasch Measurement. MESA Press, 5835 S. Kimbark Avenue, Chicago, IL 60637.
See Also
PPall, PP_4pl, PPass
Examples
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################# Pfit ###################################################
### data creation ##########
set.seed(1337)
# intercepts
diffpar <- seq(-3,3,length=15)
# slope parameters
sl <- round(runif(15,0.5,1.5),2)
la <- round(runif(15,0,0.25),2)
ua <- round(runif(15,0.8,1),2)
# response matrix
awm <- matrix(sample(0:1,100*15,replace=TRUE),ncol=15)
# ------------------------------------------------------------------------
## 1PL model #####
# ------------------------------------------------------------------------
# MLE
res1plmle <- PP_4pl(respm = awm,thres = diffpar,type = "mle")
# WLE
res1plwle <- PP_4pl(respm = awm,thres = diffpar,type = "wle")
# MAP estimation
res1plmap <- PP_4pl(respm = awm,thres = diffpar,type = "map")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res1plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res1plmle,fitindices="lzstar")
Pfit(respm=awm,pp=res1plmap,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res1plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 2PL model #####
# ------------------------------------------------------------------------
# MLE
res2plmle <- PP_4pl(respm = awm,thres = diffpar, slopes = sl,type = "mle")
# WLE
res2plwle <- PP_4pl(respm = awm,thres = diffpar, slopes = sl,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res2plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res2plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res2plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 3PL model #####
# ------------------------------------------------------------------------
# MLE
res3plmle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,type = "mle")
# WLE
res3plwle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res3plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res3plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res3plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 4PL model #####
# ------------------------------------------------------------------------
# MLE
res4plmle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,upperA=ua,type = "mle")
# WLE
res4plwle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,upperA=ua,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res4plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res4plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res4plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
Example output
PP package calling ...
Follow this project on github: https://github.com/manuelreif/PP.git
Estimating: 1pl model ...
type = mle
Estimation finished!
Estimating: 1pl model ...
type = wle
Estimation finished!
Estimating: 1pl model ...
type = map
Estimation finished!
Warning messages:
1: In PP_4pl(respm = awm, thres = diffpar, type = "map") :
all mu's are set to 0!
2: In PP_4pl(respm = awm, thres = diffpar, type = "map") :
all sigma2's are set to 1!
$lzstar
lzstar
[1,] -6.414996
[2,] -7.228344
[3,] -6.206937
[4,] -5.529163
[5,] -6.591151
[6,] -1.872497
[7,] -4.679573
[8,] -3.918292
[9,] -4.042381
[10,] -2.669941
[11,] -4.539781
[12,] -3.701172
[13,] -3.502175
[14,] -3.502175
[15,] -5.863915
[16,] -4.542468
[17,] -4.042381
[18,] -1.493611
[19,] -3.710234
[20,] -4.755188
[21,] -3.086058
[22,] -5.790820
[23,] -2.555598
[24,] -7.637878
[25,] -3.192791
[26,] -5.104368
[27,] -4.958586
[28,] -4.311697
[29,] -3.086058
[30,] -2.461882
[31,] -7.440741
[32,] -4.891971
[33,] -7.871406
[34,] -6.591151
[35,] -1.213530
[36,] -4.958586
[37,] -2.130803
[38,] -6.206937
[39,] -7.653139
[40,] -2.343201
[41,] -2.767996
[42,] -4.750527
[43,] -1.837706
[44,] -2.253823
[45,] -4.891971
[46,] -3.202970
[47,] -3.192791
[48,] -3.826557
[49,] -2.537733
[50,] -2.981224
[51,] -4.891971
[52,] -4.542468
[53,] -6.803549
[54,] -5.198679
[55,] -3.294116
[56,] -4.958586
[57,] -8.081369
[58,] -4.334410
[59,] -1.325984
[60,] -2.162368
[61,] -2.645532
[62,] -4.254778
[63,] -6.831113
[64,] -5.374703
[65,] -5.374703
[66,] -4.334410
[67,] -7.039172
[68,] -7.039172
[69,] -5.374703
[70,] -2.343201
[71,] -3.294116
[72,] -2.253823
[73,] -4.254778
[74,] -4.254778
[75,] -2.877999
[76,] -7.871406
[77,] -1.629647
[78,] -2.980393
[79,] -5.166644
[80,] -5.863915
[81,] -8.079465
[82,] -2.877999
[83,] -1.207261
[84,] -3.351075
[85,] -1.924626
[86,] -2.537733
[87,] -2.981224
[88,] -4.042381
[89,] -8.303115
[90,] -4.542468
[91,] -4.302040
[92,] -4.976933
[93,] -7.455289
[94,] -4.958586
[95,] -2.669941
[96,] -3.086058
[97,] -1.629647
[98,] -5.863915
[99,] -4.533442
[100,] -3.086058
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.415559
[2,] -7.234599
[3,] -6.207482
[4,] -5.533934
[5,] -6.596850
[6,] -1.877716
[7,] -4.683602
[8,] -3.918634
[9,] -4.045852
[10,] -2.670172
[11,] -4.572940
[12,] -3.765275
[13,] -3.502480
[14,] -3.502480
[15,] -5.880715
[16,] -4.542865
[17,] -4.045852
[18,] -1.494855
[19,] -3.710557
[20,] -4.768771
[21,] -3.086326
[22,] -5.791328
[23,] -2.557770
[24,] -7.659826
[25,] -3.195520
[26,] -5.108768
[27,] -4.959020
[28,] -4.323993
[29,] -3.086326
[30,] -2.462094
[31,] -7.447182
[32,] -4.896185
[33,] -7.872099
[34,] -6.596850
[35,] -1.213632
[36,] -4.959020
[37,] -2.132604
[38,] -6.207482
[39,] -7.659765
[40,] -2.345187
[41,] -2.770354
[42,] -4.750943
[43,] -1.837863
[44,] -2.254017
[45,] -4.896185
[46,] -3.212049
[47,] -3.195520
[48,] -3.854414
[49,] -2.544882
[50,] -2.989660
[51,] -4.896185
[52,] -4.542865
[53,] -6.809433
[54,] -5.213549
[55,] -3.294403
[56,] -4.959020
[57,] -8.104604
[58,] -4.334788
[59,] -1.347989
[60,] -2.177854
[61,] -2.690926
[62,] -4.258435
[63,] -6.831714
[64,] -5.375174
[65,] -5.375174
[66,] -4.334788
[67,] -7.039791
[68,] -7.039791
[69,] -5.375174
[70,] -2.345187
[71,] -3.294403
[72,] -2.254017
[73,] -4.258435
[74,] -4.258435
[75,] -2.878249
[76,] -7.872099
[77,] -1.629786
[78,] -2.982937
[79,] -5.167097
[80,] -5.880715
[81,] -8.080176
[82,] -2.878249
[83,] -1.210549
[84,] -3.375397
[85,] -1.938345
[86,] -2.544882
[87,] -2.989660
[88,] -4.045852
[89,] -8.326993
[90,] -4.542865
[91,] -4.333431
[92,] -4.991160
[93,] -7.455945
[94,] -4.959020
[95,] -2.670172
[96,] -3.086326
[97,] -1.629786
[98,] -5.880715
[99,] -4.546382
[100,] -3.086326
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.408652
[2,] -7.160330
[3,] -6.200867
[4,] -5.481571
[5,] -6.530796
[6,] -1.860648
[7,] -4.642192
[8,] -3.915231
[9,] -4.012657
[10,] -2.668520
[11,] -4.321656
[12,] -3.409262
[13,] -3.499660
[14,] -3.499660
[15,] -5.714499
[16,] -4.538586
[17,] -4.012657
[18,] -1.494518
[19,] -3.707446
[20,] -4.643985
[21,] -3.084090
[22,] -5.785297
[23,] -2.543743
[24,] -7.427322
[25,] -3.173277
[26,] -5.061881
[27,] -4.954156
[28,] -4.215779
[29,] -3.084090
[30,] -2.460735
[31,] -7.370175
[32,] -4.852037
[33,] -7.863147
[34,] -6.530796
[35,] -1.214024
[36,] -4.954156
[37,] -2.124053
[38,] -6.200867
[39,] -7.580020
[40,] -2.333898
[41,] -2.753588
[42,] -4.746371
[43,] -1.837380
[44,] -2.252950
[45,] -4.852037
[46,] -3.145265
[47,] -3.173277
[48,] -3.659081
[49,] -2.502956
[50,] -2.931162
[51,] -4.852037
[52,] -4.538586
[53,] -6.740640
[54,] -5.072191
[55,] -3.291875
[56,] -4.954156
[57,] -7.855528
[58,] -4.330801
[59,] -1.333638
[60,] -2.113071
[61,] -2.486762
[62,] -4.222502
[63,] -6.824222
[64,] -5.369726
[65,] -5.369726
[66,] -4.330801
[67,] -7.032007
[68,] -7.032007
[69,] -5.369726
[70,] -2.333898
[71,] -3.291875
[72,] -2.252950
[73,] -4.222502
[74,] -4.222502
[75,] -2.876305
[76,] -7.863147
[77,] -1.629595
[78,] -2.963433
[79,] -5.161941
[80,] -5.714499
[81,] -8.070933
[82,] -2.876305
[83,] -1.218339
[84,] -3.217364
[85,] -1.892213
[86,] -2.502956
[87,] -2.931162
[88,] -4.012657
[89,] -8.069631
[90,] -4.538586
[91,] -4.100798
[92,] -4.858088
[93,] -7.447577
[94,] -4.954156
[95,] -2.668520
[96,] -3.084090
[97,] -1.629595
[98,] -5.714499
[99,] -4.429882
[100,] -3.084090
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.414996
[2,] -7.228344
[3,] -6.206937
[4,] -5.529163
[5,] -6.591151
[6,] -1.872497
[7,] -4.679573
[8,] -3.918292
[9,] -4.042381
[10,] -2.669941
[11,] -4.539781
[12,] -3.701172
[13,] -3.502175
[14,] -3.502175
[15,] -5.863915
[16,] -4.542468
[17,] -4.042381
[18,] -1.493611
[19,] -3.710234
[20,] -4.755188
[21,] -3.086058
[22,] -5.790820
[23,] -2.555598
[24,] -7.637878
[25,] -3.192791
[26,] -5.104368
[27,] -4.958586
[28,] -4.311697
[29,] -3.086058
[30,] -2.461882
[31,] -7.440741
[32,] -4.891971
[33,] -7.871406
[34,] -6.591151
[35,] -1.213530
[36,] -4.958586
[37,] -2.130803
[38,] -6.206937
[39,] -7.653139
[40,] -2.343201
[41,] -2.767996
[42,] -4.750527
[43,] -1.837706
[44,] -2.253823
[45,] -4.891971
[46,] -3.202970
[47,] -3.192791
[48,] -3.826557
[49,] -2.537733
[50,] -2.981224
[51,] -4.891971
[52,] -4.542468
[53,] -6.803549
[54,] -5.198679
[55,] -3.294116
[56,] -4.958586
[57,] -8.081369
[58,] -4.334410
[59,] -1.325984
[60,] -2.162368
[61,] -2.645532
[62,] -4.254778
[63,] -6.831113
[64,] -5.374703
[65,] -5.374703
[66,] -4.334410
[67,] -7.039172
[68,] -7.039172
[69,] -5.374703
[70,] -2.343201
[71,] -3.294116
[72,] -2.253823
[73,] -4.254778
[74,] -4.254778
[75,] -2.877999
[76,] -7.871406
[77,] -1.629647
[78,] -2.980393
[79,] -5.166644
[80,] -5.863915
[81,] -8.079465
[82,] -2.877999
[83,] -1.207261
[84,] -3.351075
[85,] -1.924626
[86,] -2.537733
[87,] -2.981224
[88,] -4.042381
[89,] -8.303115
[90,] -4.542468
[91,] -4.302040
[92,] -4.976933
[93,] -7.455289
[94,] -4.958586
[95,] -2.669941
[96,] -3.086058
[97,] -1.629647
[98,] -5.863915
[99,] -4.533442
[100,] -3.086058
$infit
infit in_t in_chisq in_df in_pv
[1,] 3.139671 3.958653 76.751 14 0.000
[2,] 3.295823 4.169337 107.918 14 0.000
[3,] 2.979662 3.749448 86.037 14 0.000
[4,] 2.793206 3.507021 84.946 14 0.000
[5,] 3.007458 3.798334 107.702 14 0.000
[6,] 1.789309 1.902399 22.509 14 0.069
[7,] 2.584669 3.208799 62.591 14 0.000
[8,] 2.340608 2.829868 55.746 14 0.000
[9,] 2.254887 2.702538 70.571 14 0.000
[10,] 1.880894 2.058417 41.468 14 0.000
[11,] 2.305234 2.781082 68.532 14 0.000
[12,] 1.744187 1.744733 190.130 14 0.000
[13,] 2.115091 2.465438 55.228 14 0.000
[14,] 2.114536 2.464509 55.239 14 0.000
[15,] 2.808153 3.541247 89.898 14 0.000
[16,] 2.490350 3.059081 60.812 14 0.000
[17,] 2.621255 3.262251 38.763 14 0.000
[18,] 1.459556 1.234676 31.132 14 0.005
[19,] 2.206142 2.615552 53.239 14 0.000
[20,] 2.186738 2.601456 116.592 14 0.000
[21,] 2.099545 2.439379 46.747 14 0.000
[22,] 2.981363 3.751711 68.964 14 0.000
[23,] 1.785192 1.887910 46.311 14 0.000
[24,] 3.427464 4.348233 121.194 14 0.000
[25,] 2.100743 2.448848 43.544 14 0.000
[26,] 2.671134 3.334329 70.702 14 0.000
[27,] 2.682188 3.339680 62.731 14 0.000
[28,] 2.209904 2.639492 84.855 14 0.000
[29,] 2.078246 2.403467 42.490 14 0.000
[30,] 1.957113 2.194415 31.201 14 0.005
[31,] 3.382112 4.276124 108.949 14 0.000
[32,] 2.604888 3.238401 76.293 14 0.000
[33,] 3.548119 4.462258 100.679 14 0.000
[34,] 3.099729 3.919534 101.100 14 0.000
[35,] 1.397652 1.096849 27.715 14 0.016
[36,] 2.753098 3.440005 57.740 14 0.000
[37,] 1.713403 1.751198 34.843 14 0.002
[38,] 3.233749 4.078354 66.061 14 0.000
[39,] 3.606397 4.545445 89.625 14 0.000
[40,] 1.768187 1.855862 42.845 14 0.000
[41,] 1.932486 2.157336 45.521 14 0.000
[42,] 2.665246 3.315448 61.332 14 0.000
[43,] 1.524498 1.368367 39.496 14 0.000
[44,] 1.838589 1.981341 33.318 14 0.003
[45,] 2.510846 3.099388 81.201 14 0.000
[46,] 2.316151 2.810610 30.256 14 0.007
[47,] 2.077154 2.408940 44.026 14 0.000
[48,] 2.192425 2.599501 65.121 14 0.000
[49,] 1.729283 1.788059 47.854 14 0.000
[50,] 2.083985 2.429433 34.688 14 0.002
[51,] 2.588501 3.214422 69.114 14 0.000
[52,] 2.513691 3.093976 57.756 14 0.000
[53,] 3.099478 3.919208 106.091 14 0.000
[54,] 2.640598 3.302768 97.037 14 0.000
[55,] 2.303424 2.771442 35.854 14 0.001
[56,] 2.565448 3.170586 74.595 14 0.000
[57,] 3.431604 4.353286 148.681 14 0.000
[58,] 2.469323 3.027460 57.571 14 0.000
[59,] 1.429139 1.130201 21.517 14 0.089
[60,] 1.653236 1.632657 34.456 14 0.002
[61,] 1.783957 1.816886 43.772 14 0.000
[62,] 2.424967 2.969376 58.409 14 0.000
[63,] 3.199803 4.035433 91.873 14 0.000
[64,] 2.694625 3.357403 78.566 14 0.000
[65,] 2.756596 3.444909 73.751 14 0.000
[66,] 2.535591 3.126519 52.088 14 0.000
[67,] 3.490485 4.393625 77.475 14 0.000
[68,] 3.346996 4.219405 87.770 14 0.000
[69,] 2.923227 3.673878 61.899 14 0.000
[70,] 1.750266 1.821866 38.742 14 0.000
[71,] 1.963514 2.205674 59.573 14 0.000
[72,] 1.892090 2.078622 28.242 14 0.013
[73,] 2.338474 2.835295 72.961 14 0.000
[74,] 2.324737 2.813697 75.331 14 0.000
[75,] 2.062095 2.376071 35.787 14 0.001
[76,] 3.635354 4.564741 96.717 14 0.000
[77,] 1.617951 1.558910 25.899 14 0.027
[78,] 2.205005 2.621743 31.196 14 0.005
[79,] 2.810551 3.520036 62.767 14 0.000
[80,] 2.655938 3.325013 122.053 14 0.000
[81,] 3.674358 4.610032 100.333 14 0.000
[82,] 1.940327 2.164771 48.816 14 0.000
[83,] 1.474924 1.271776 21.676 14 0.086
[84,] 1.764560 1.847860 80.822 14 0.000
[85,] 1.736012 1.793556 24.673 14 0.038
[86,] 1.836016 1.989611 43.115 14 0.000
[87,] 2.082458 2.426834 37.582 14 0.001
[88,] 2.465707 3.031428 52.298 14 0.000
[89,] 3.538766 4.482697 138.658 14 0.000
[90,] 2.721972 3.396181 47.094 14 0.000
[91,] 2.025412 2.318859 121.164 14 0.000
[92,] 2.506435 3.104433 87.771 14 0.000
[93,] 3.534468 4.446069 92.055 14 0.000
[94,] 2.620766 3.251338 70.118 14 0.000
[95,] 1.689750 1.700374 56.339 14 0.000
[96,] 2.025843 2.314055 49.838 14 0.000
[97,] 1.657110 1.636572 25.069 14 0.034
[98,] 2.785473 3.509532 107.717 14 0.000
[99,] 2.400354 2.942542 92.494 14 0.000
[100,] 2.064120 2.379514 43.130 14 0.000
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 5.116709 3.676194 76.751 14 0.000
[2,] 7.194532 4.169166 107.918 14 0.000
[3,] 5.735802 3.996835 86.037 14 0.000
[4,] 5.663040 3.543487 84.946 14 0.000
[5,] 7.180157 4.163728 107.702 14 0.000
[6,] 1.500628 0.789110 22.509 14 0.069
[7,] 4.172740 2.814377 62.591 14 0.000
[8,] 3.716396 2.840823 55.746 14 0.000
[9,] 4.704749 3.092056 70.571 14 0.000
[10,] 2.764553 2.143270 41.468 14 0.000
[11,] 4.568819 2.146924 68.532 14 0.000
[12,] 12.675310 3.221951 190.130 14 0.000
[13,] 3.681882 2.817760 55.228 14 0.000
[14,] 3.682595 2.818238 55.239 14 0.000
[15,] 5.993202 3.099786 89.898 14 0.000
[16,] 4.054146 3.059332 60.812 14 0.000
[17,] 2.584201 1.809980 38.763 14 0.000
[18,] 2.075480 1.401285 31.132 14 0.005
[19,] 3.549294 2.727793 53.239 14 0.000
[20,] 7.772822 3.665627 116.592 14 0.000
[21,] 3.116470 2.417500 46.747 14 0.000
[22,] 4.597631 3.386765 68.964 14 0.000
[23,] 3.087379 2.164317 46.311 14 0.000
[24,] 8.079595 3.754139 121.194 14 0.000
[25,] 2.902955 2.039256 43.544 14 0.000
[26,] 4.713483 3.096436 70.702 14 0.000
[27,] 4.182078 3.138923 62.731 14 0.000
[28,] 5.657027 2.980672 84.855 14 0.000
[29,] 2.832691 2.198112 42.490 14 0.000
[30,] 2.080053 1.534425 31.201 14 0.005
[31,] 7.263261 4.195064 108.949 14 0.000
[32,] 5.086201 3.278497 76.293 14 0.000
[33,] 6.711920 4.458463 100.679 14 0.000
[34,] 6.739998 3.993595 101.100 14 0.000
[35,] 1.847666 1.297422 27.715 14 0.016
[36,] 3.849362 2.928366 57.740 14 0.000
[37,] 2.322879 1.607500 34.843 14 0.002
[38,] 4.404063 3.273262 66.061 14 0.000
[39,] 5.975015 3.679355 89.625 14 0.000
[40,] 2.856302 2.006784 42.845 14 0.000
[41,] 3.034714 2.129123 45.521 14 0.000
[42,] 4.088833 3.081075 61.332 14 0.000
[43,] 2.633048 2.034826 39.496 14 0.000
[44,] 2.221221 1.669875 33.318 14 0.003
[45,] 5.413400 3.431126 81.201 14 0.000
[46,] 2.017066 1.197255 30.256 14 0.007
[47,] 2.935059 2.061399 44.026 14 0.000
[48,] 4.341376 2.071508 65.121 14 0.000
[49,] 3.190257 1.915069 47.854 14 0.000
[50,] 2.312561 1.399950 34.688 14 0.002
[51,] 4.607606 3.042976 69.114 14 0.000
[52,] 3.850377 2.929026 57.756 14 0.000
[53,] 7.072734 4.122862 106.091 14 0.000
[54,] 6.469158 3.261038 97.037 14 0.000
[55,] 2.390294 1.824747 35.854 14 0.001
[56,] 4.973014 3.598110 74.595 14 0.000
[57,] 9.912035 4.240965 148.681 14 0.000
[58,] 3.838069 2.921010 57.571 14 0.000
[59,] 1.434444 0.749333 21.517 14 0.089
[60,] 2.297082 1.231604 34.456 14 0.002
[61,] 2.918127 1.368038 43.772 14 0.000
[62,] 3.893908 2.659315 58.409 14 0.000
[63,] 6.124876 4.186680 91.873 14 0.000
[64,] 5.237734 3.740832 78.566 14 0.000
[65,] 4.916738 3.567120 73.751 14 0.000
[66,] 3.472556 2.674696 52.088 14 0.000
[67,] 5.164981 3.702096 77.475 14 0.000
[68,] 5.851331 4.054079 87.770 14 0.000
[69,] 4.126579 3.104598 61.899 14 0.000
[70,] 2.582799 1.808931 38.742 14 0.000
[71,] 3.971515 3.007030 59.573 14 0.000
[72,] 1.882803 1.334486 28.242 14 0.013
[73,] 4.864047 3.171098 72.961 14 0.000
[74,] 5.022039 3.247805 75.331 14 0.000
[75,] 2.385780 1.820709 35.787 14 0.001
[76,] 6.447768 4.338215 96.717 14 0.000
[77,] 1.726621 1.166020 25.899 14 0.027
[78,] 2.079742 1.404972 31.196 14 0.005
[79,] 4.184468 3.140395 62.767 14 0.000
[80,] 8.136846 3.770408 122.053 14 0.000
[81,] 6.688846 4.448086 100.333 14 0.000
[82,] 3.254375 2.519322 48.816 14 0.000
[83,] 1.445048 0.739863 21.676 14 0.086
[84,] 5.388156 2.399500 80.822 14 0.000
[85,] 1.644871 0.857258 24.673 14 0.038
[86,] 2.874338 1.742029 43.115 14 0.000
[87,] 2.505442 1.523089 37.582 14 0.001
[88,] 3.486554 2.418866 52.298 14 0.000
[89,] 9.243899 4.071018 138.658 14 0.000
[90,] 3.139606 2.434790 47.094 14 0.000
[91,] 8.077592 3.081684 121.164 14 0.000
[92,] 5.851414 3.050105 87.771 14 0.000
[93,] 6.137027 4.192477 92.055 14 0.000
[94,] 4.674550 3.430984 70.118 14 0.000
[95,] 3.755951 2.867081 56.339 14 0.000
[96,] 3.322545 2.568595 49.838 14 0.000
[97,] 1.671283 1.103897 25.069 14 0.034
[98,] 7.181152 3.488104 107.717 14 0.000
[99,] 6.166271 3.159377 92.494 14 0.000
[100,] 2.875345 2.231996 43.130 14 0.000
attr(,"class")
[1] "list" "PPfit"
Estimating: 2pl model ...
type = mle
Estimation finished!
Estimating: 2pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -6.694480
[2,] -8.302266
[3,] -7.321058
[4,] -6.767752
[5,] -7.580356
[6,] -1.625632
[7,] -5.841133
[8,] -4.667076
[9,] -5.911889
[10,] -2.452387
[11,] -5.634144
[12,] -4.867402
[13,] -4.204733
[14,] -4.479440
[15,] -6.401958
[16,] -5.272036
[17,] -4.127053
[18,] -2.542816
[19,] -4.659028
[20,] -4.638834
[21,] -3.806874
[22,] -7.057271
[23,] -2.506182
[24,] -8.261613
[25,] -3.229734
[26,] -5.859650
[27,] -5.912624
[28,] -5.039321
[29,] -3.898930
[30,] -3.140089
[31,] -9.048390
[32,] -6.544874
[33,] -8.625648
[34,] -7.643586
[35,] -1.700014
[36,] -5.012643
[37,] -2.787419
[38,] -7.068795
[39,] -8.434798
[40,] -2.174628
[41,] -2.822401
[42,] -5.252368
[43,] -1.671955
[44,] -2.841334
[45,] -6.339786
[46,] -3.415910
[47,] -2.641392
[48,] -3.581885
[49,] -1.559282
[50,] -3.282991
[51,] -4.818835
[52,] -4.323560
[53,] -8.334253
[54,] -6.491355
[55,] -3.985682
[56,] -5.277497
[57,] -9.310607
[58,] -4.911247
[59,] -0.962660
[60,] -3.005139
[61,] -3.917356
[62,] -4.274810
[63,] -7.645940
[64,] -6.776819
[65,] -6.529881
[66,] -4.488718
[67,] -8.011063
[68,] -7.287544
[69,] -5.480649
[70,] -3.121253
[71,] -4.785618
[72,] -2.650355
[73,] -5.236065
[74,] -5.169626
[75,] -2.725460
[76,] -9.013482
[77,] -1.499401
[78,] -3.087362
[79,] -5.919436
[80,] -7.364477
[81,] -8.609994
[82,] -4.038434
[83,] -1.225086
[84,] -2.928302
[85,] -1.880052
[86,] -2.108932
[87,] -4.187549
[88,] -3.386639
[89,] -8.776719
[90,] -4.553994
[91,] -4.474107
[92,] -5.352918
[93,] -8.590199
[94,] -5.883248
[95,] -3.857763
[96,] -4.319468
[97,] -1.403723
[98,] -7.282424
[99,] -5.932455
[100,] -3.789850
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.704730
[2,] -8.317975
[3,] -7.332826
[4,] -6.783762
[5,] -7.598223
[6,] -1.625050
[7,] -5.825070
[8,] -4.674865
[9,] -5.926125
[10,] -2.457089
[11,] -5.658011
[12,] -4.910143
[13,] -4.202728
[14,] -4.485888
[15,] -6.423285
[16,] -5.258670
[17,] -4.136572
[18,] -2.548118
[19,] -4.653356
[20,] -4.645367
[21,] -3.810923
[22,] -7.038704
[23,] -2.500696
[24,] -8.282669
[25,] -3.232680
[26,] -5.882032
[27,] -5.898309
[28,] -5.058493
[29,] -3.904131
[30,] -3.142028
[31,] -9.075784
[32,] -6.534999
[33,] -8.620000
[34,] -7.623491
[35,] -1.698703
[36,] -5.011286
[37,] -2.792852
[38,] -7.078802
[39,] -8.459043
[40,] -2.181576
[41,] -2.814867
[42,] -5.254631
[43,] -1.675456
[44,] -2.847721
[45,] -6.351511
[46,] -3.424846
[47,] -2.633999
[48,] -3.597991
[49,] -1.556169
[50,] -3.289128
[51,] -4.830636
[52,] -4.315487
[53,] -8.328915
[54,] -6.497824
[55,] -3.990136
[56,] -5.288470
[57,] -9.304001
[58,] -4.899753
[59,] -0.976182
[60,] -3.023338
[61,] -3.947473
[62,] -4.287885
[63,] -7.631502
[64,] -6.788470
[65,] -6.522195
[66,] -4.496095
[67,] -8.028957
[68,] -7.298950
[69,] -5.490673
[70,] -3.127343
[71,] -4.794557
[72,] -2.653424
[73,] -5.225754
[74,] -5.179147
[75,] -2.718556
[76,] -8.992220
[77,] -1.498451
[78,] -3.094027
[79,] -5.907323
[80,] -7.378689
[81,] -8.608723
[82,] -4.045880
[83,] -1.228466
[84,] -2.951472
[85,] -1.886607
[86,] -2.105276
[87,] -4.202536
[88,] -3.397495
[89,] -8.785114
[90,] -4.542132
[91,] -4.500597
[92,] -5.371621
[93,] -8.590457
[94,] -5.889452
[95,] -3.865022
[96,] -4.327447
[97,] -1.405085
[98,] -7.306358
[99,] -5.950398
[100,] -3.797200
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.694480
[2,] -8.302266
[3,] -7.321058
[4,] -6.767752
[5,] -7.580356
[6,] -1.625632
[7,] -5.841133
[8,] -4.667076
[9,] -5.911889
[10,] -2.452387
[11,] -5.634144
[12,] -4.867402
[13,] -4.204733
[14,] -4.479440
[15,] -6.401958
[16,] -5.272036
[17,] -4.127053
[18,] -2.542816
[19,] -4.659028
[20,] -4.638834
[21,] -3.806874
[22,] -7.057271
[23,] -2.506182
[24,] -8.261613
[25,] -3.229734
[26,] -5.859650
[27,] -5.912624
[28,] -5.039321
[29,] -3.898930
[30,] -3.140089
[31,] -9.048390
[32,] -6.544874
[33,] -8.625648
[34,] -7.643586
[35,] -1.700014
[36,] -5.012643
[37,] -2.787419
[38,] -7.068795
[39,] -8.434798
[40,] -2.174628
[41,] -2.822401
[42,] -5.252368
[43,] -1.671955
[44,] -2.841334
[45,] -6.339786
[46,] -3.415910
[47,] -2.641392
[48,] -3.581885
[49,] -1.559282
[50,] -3.282991
[51,] -4.818835
[52,] -4.323560
[53,] -8.334253
[54,] -6.491355
[55,] -3.985682
[56,] -5.277497
[57,] -9.310607
[58,] -4.911247
[59,] -0.962660
[60,] -3.005139
[61,] -3.917356
[62,] -4.274810
[63,] -7.645940
[64,] -6.776819
[65,] -6.529881
[66,] -4.488718
[67,] -8.011063
[68,] -7.287544
[69,] -5.480649
[70,] -3.121253
[71,] -4.785618
[72,] -2.650355
[73,] -5.236065
[74,] -5.169626
[75,] -2.725460
[76,] -9.013482
[77,] -1.499401
[78,] -3.087362
[79,] -5.919436
[80,] -7.364477
[81,] -8.609994
[82,] -4.038434
[83,] -1.225086
[84,] -2.928302
[85,] -1.880052
[86,] -2.108932
[87,] -4.187549
[88,] -3.386639
[89,] -8.776719
[90,] -4.553994
[91,] -4.474107
[92,] -5.352918
[93,] -8.590199
[94,] -5.883248
[95,] -3.857763
[96,] -4.319468
[97,] -1.403723
[98,] -7.282424
[99,] -5.932455
[100,] -3.789850
$infit
infit in_t in_chisq in_df in_pv
[1,] 3.100889 3.935054 95.931 14 0.000
[2,] 3.578914 4.686556 144.953 14 0.000
[3,] 3.107584 3.956624 138.461 14 0.000
[4,] 2.721101 3.813706 200.994 14 0.000
[5,] 2.974990 4.205015 206.183 14 0.000
[6,] 1.702475 1.804176 20.040 14 0.129
[7,] 2.712474 3.443837 100.841 14 0.000
[8,] 2.409759 2.979990 97.001 14 0.000
[9,] 2.399321 3.285960 191.640 14 0.000
[10,] 1.830757 2.091250 35.859 14 0.001
[11,] 2.345638 3.199524 117.358 14 0.000
[12,] 1.655070 1.705858 1406.634 14 0.000
[13,] 2.242000 2.636297 80.326 14 0.000
[14,] 2.285062 2.753839 93.767 14 0.000
[15,] 2.826471 4.086133 85.718 14 0.000
[16,] 2.649347 3.392497 92.159 14 0.000
[17,] 2.417684 3.299328 45.635 14 0.000
[18,] 1.748461 1.983192 42.463 14 0.000
[19,] 2.329326 2.778176 86.155 14 0.000
[20,] 1.973824 2.312117 200.506 14 0.000
[21,] 2.245410 2.667427 65.817 14 0.000
[22,] 3.171260 4.106581 111.470 14 0.000
[23,] 1.751232 1.809581 54.886 14 0.000
[24,] 3.202698 4.160538 246.314 14 0.000
[25,] 2.092059 2.532822 37.621 14 0.001
[26,] 2.600103 3.684343 95.327 14 0.000
[27,] 2.803112 3.513383 95.697 14 0.000
[28,] 2.282439 3.126548 91.919 14 0.000
[29,] 2.205211 2.617685 66.925 14 0.000
[30,] 2.099960 2.416913 46.793 14 0.000
[31,] 3.308868 4.808140 278.679 14 0.000
[32,] 2.780526 3.637311 168.761 14 0.000
[33,] 3.668829 4.538070 147.995 14 0.000
[34,] 3.183725 4.046400 164.869 14 0.000
[35,] 1.456207 1.209159 45.416 14 0.000
[36,] 2.758319 3.398408 68.156 14 0.000
[37,] 1.905439 2.251092 39.908 14 0.000
[38,] 3.331252 4.210789 97.078 14 0.000
[39,] 3.444841 4.985820 109.945 14 0.000
[40,] 1.730285 2.033352 26.571 14 0.022
[41,] 1.850089 2.054463 69.100 14 0.000
[42,] 2.662697 3.272873 89.100 14 0.000
[43,] 1.470876 1.370967 33.350 14 0.003
[44,] 1.886779 2.299356 40.295 14 0.000
[45,] 2.859562 3.705477 123.053 14 0.000
[46,] 2.360038 2.940819 30.295 14 0.007
[47,] 1.927302 2.162884 37.719 14 0.001
[48,] 2.088830 2.426145 54.454 14 0.000
[49,] 1.560872 1.497118 24.518 14 0.040
[50,] 2.109446 2.544348 37.886 14 0.001
[51,] 2.440098 3.365536 66.265 14 0.000
[52,] 2.423788 2.935966 67.926 14 0.000
[53,] 3.034923 4.012588 252.596 14 0.000
[54,] 2.669824 3.469605 203.863 14 0.000
[55,] 2.389128 2.895036 52.001 14 0.000
[56,] 2.403410 3.202791 151.670 14 0.000
[57,] 3.392017 4.488142 259.504 14 0.000
[58,] 2.484929 3.157400 92.396 14 0.000
[59,] 1.307653 0.892921 15.300 14 0.358
[60,] 1.649446 1.741063 80.869 14 0.000
[61,] 1.887030 2.186668 110.007 14 0.000
[62,] 2.290333 3.160647 50.120 14 0.000
[63,] 3.288014 4.117912 149.608 14 0.000
[64,] 2.847421 3.632029 139.463 14 0.000
[65,] 3.031309 3.770421 117.785 14 0.000
[66,] 2.631218 3.310122 51.014 14 0.000
[67,] 3.450125 4.840854 96.615 14 0.000
[68,] 3.360091 4.269773 98.335 14 0.000
[69,] 2.922586 3.784289 66.286 14 0.000
[70,] 1.956346 2.346567 46.769 14 0.000
[71,] 2.176266 2.664809 126.656 14 0.000
[72,] 2.049215 2.350332 30.008 14 0.008
[73,] 2.398904 3.038741 147.761 14 0.000
[74,] 2.437949 3.076563 115.059 14 0.000
[75,] 1.976304 2.230316 35.013 14 0.001
[76,] 3.506577 4.567411 208.795 14 0.000
[77,] 1.636487 1.575114 21.357 14 0.093
[78,] 2.073690 2.646110 35.374 14 0.001
[79,] 2.922293 3.653509 89.791 14 0.000
[80,] 3.119125 4.153171 146.098 14 0.000
[81,] 3.710207 4.584462 144.737 14 0.000
[82,] 2.129814 2.575898 101.418 14 0.000
[83,] 1.405981 1.139436 23.885 14 0.047
[84,] 1.753793 1.739820 59.461 14 0.000
[85,] 1.719161 1.783528 23.232 14 0.057
[86,] 1.739416 1.869544 30.125 14 0.007
[87,] 2.135456 2.864405 70.358 14 0.000
[88,] 2.215086 3.024437 31.610 14 0.005
[89,] 3.356834 4.423778 229.381 14 0.000
[90,] 2.812644 3.541112 40.842 14 0.000
[91,] 1.936186 2.331690 156.221 14 0.000
[92,] 2.446015 3.442040 85.105 14 0.000
[93,] 3.687534 4.560405 144.726 14 0.000
[94,] 2.758386 3.429267 113.156 14 0.000
[95,] 1.760243 1.914117 125.850 14 0.000
[96,] 2.213182 2.718109 105.029 14 0.000
[97,] 1.627344 1.573883 19.713 14 0.139
[98,] 2.726746 3.924235 300.179 14 0.000
[99,] 2.445172 3.437212 242.449 14 0.000
[100,] 2.076323 2.555599 60.985 14 0.000
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 6.395414 3.538148 95.931 14 0.000
[2,] 9.663553 4.381902 144.953 14 0.000
[3,] 9.230740 4.447073 138.461 14 0.000
[4,] 13.399583 4.431280 200.994 14 0.000
[5,] 13.745506 4.502645 206.183 14 0.000
[6,] 1.336020 0.643349 20.040 14 0.129
[7,] 6.722732 3.258031 100.841 14 0.000
[8,] 6.466710 3.533109 97.001 14 0.000
[9,] 12.775994 4.277754 191.640 14 0.000
[10,] 2.390581 1.455227 35.859 14 0.001
[11,] 7.823883 2.338565 117.358 14 0.000
[12,] 93.775631 4.580460 1406.634 14 0.000
[13,] 5.355053 3.126929 80.326 14 0.000
[14,] 6.251110 3.492413 93.767 14 0.000
[15,] 5.714518 2.278808 85.718 14 0.000
[16,] 6.143941 2.954012 92.159 14 0.000
[17,] 3.042342 1.684554 45.635 14 0.000
[18,] 2.830864 1.638818 42.463 14 0.000
[19,] 5.743672 3.236064 86.155 14 0.000
[20,] 13.367036 3.818119 200.506 14 0.000
[21,] 4.387809 2.722333 65.817 14 0.000
[22,] 7.431312 3.378576 111.470 14 0.000
[23,] 3.659098 2.240862 54.886 14 0.000
[24,] 16.420936 4.060346 246.314 14 0.000
[25,] 2.508095 1.306497 37.621 14 0.001
[26,] 6.355162 2.228907 95.327 14 0.000
[27,] 6.379818 3.314319 95.697 14 0.000
[28,] 6.127965 2.183329 91.919 14 0.000
[29,] 4.461691 2.747219 66.925 14 0.000
[30,] 3.119546 2.044000 46.793 14 0.000
[31,] 18.578568 4.597516 278.679 14 0.000
[32,] 11.250745 3.957405 168.761 14 0.000
[33,] 9.866319 4.616544 147.995 14 0.000
[34,] 10.991286 4.524575 164.869 14 0.000
[35,] 3.027704 1.967124 45.416 14 0.000
[36,] 4.543752 2.777797 68.156 14 0.000
[37,] 2.660541 1.607380 39.908 14 0.000
[38,] 6.471887 3.580216 97.078 14 0.000
[39,] 7.329682 2.870082 109.945 14 0.000
[40,] 1.771386 0.919525 26.571 14 0.022
[41,] 4.606680 2.444746 69.100 14 0.000
[42,] 5.940020 3.395446 89.100 14 0.000
[43,] 2.223359 1.280158 33.350 14 0.003
[44,] 2.686359 1.516811 40.295 14 0.000
[45,] 8.203523 4.019184 123.053 14 0.000
[46,] 2.019686 1.045934 30.295 14 0.007
[47,] 2.514577 1.525584 37.719 14 0.001
[48,] 3.630280 1.623917 54.454 14 0.000
[49,] 1.634528 0.867388 24.518 14 0.040
[50,] 2.525703 1.291283 37.886 14 0.001
[51,] 4.417649 2.208139 66.265 14 0.000
[52,] 4.528387 2.674937 67.926 14 0.000
[53,] 16.839754 4.683328 252.596 14 0.000
[54,] 13.590834 3.913290 203.863 14 0.000
[55,] 3.466765 2.243210 52.001 14 0.000
[56,] 10.111320 4.074663 151.670 14 0.000
[57,] 17.300284 4.763103 259.504 14 0.000
[58,] 6.159749 2.908749 92.396 14 0.000
[59,] 1.019997 1.354647 15.300 14 0.358
[60,] 5.391235 1.747691 80.869 14 0.000
[61,] 7.333825 1.946461 110.007 14 0.000
[62,] 3.341320 1.640604 50.120 14 0.000
[63,] 9.973862 4.488736 149.608 14 0.000
[64,] 9.297552 4.428928 139.463 14 0.000
[65,] 7.852361 3.974888 117.785 14 0.000
[66,] 3.400955 2.175643 51.014 14 0.000
[67,] 6.441006 2.982265 96.615 14 0.000
[68,] 6.555684 3.592389 98.335 14 0.000
[69,] 4.419062 2.643059 66.286 14 0.000
[70,] 3.117963 1.866594 46.769 14 0.000
[71,] 8.443760 4.052889 126.656 14 0.000
[72,] 2.000512 1.262672 30.008 14 0.008
[73,] 9.850755 3.772818 147.761 14 0.000
[74,] 7.670574 3.854586 115.059 14 0.000
[75,] 2.334184 1.440338 35.013 14 0.001
[76,] 13.919670 4.700900 208.795 14 0.000
[77,] 1.423830 0.739875 21.357 14 0.093
[78,] 2.358259 1.356054 35.374 14 0.001
[79,] 5.986097 3.239228 89.791 14 0.000
[80,] 9.739877 4.299828 146.098 14 0.000
[81,] 9.649125 4.595259 144.737 14 0.000
[82,] 6.761229 3.541601 101.418 14 0.000
[83,] 1.592302 0.820082 23.885 14 0.047
[84,] 3.964051 1.637398 59.461 14 0.000
[85,] 1.548816 0.797580 23.232 14 0.057
[86,] 2.008351 1.111200 30.125 14 0.007
[87,] 4.690548 1.923415 70.358 14 0.000
[88,] 2.107332 1.093840 31.610 14 0.005
[89,] 15.292039 4.162971 229.381 14 0.000
[90,] 2.722784 1.671459 40.842 14 0.000
[91,] 10.414710 2.328449 156.221 14 0.000
[92,] 5.673692 2.202153 85.105 14 0.000
[93,] 9.648414 4.605761 144.726 14 0.000
[94,] 7.543763 3.977248 113.156 14 0.000
[95,] 8.389978 3.996209 125.850 14 0.000
[96,] 7.001954 3.622986 105.029 14 0.000
[97,] 1.314231 0.627225 19.713 14 0.139
[98,] 20.011956 4.510396 300.179 14 0.000
[99,] 16.163234 4.279509 242.449 14 0.000
[100,] 4.065680 2.350922 60.985 14 0.000
attr(,"class")
[1] "list" "PPfit"
Estimating: 3pl model ...
type = mle
Estimation finished!
Estimating: 3pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -3.969939
[2,] -2.710772
[3,] -3.403079
[4,] -1.947892
[5,] -2.379175
[6,] -1.040059
[7,] -2.973478
[8,] -1.794842
[9,] -1.535915
[10,] -0.753633
[11,] -0.767913
[12,] -0.299641
[13,] -1.800399
[14,] -1.428317
[15,] -1.663253
[16,] -2.529844
[17,] -2.531950
[18,] 0.454910
[19,] -2.312338
[20,] -4.359370
[21,] -1.547177
[22,] -2.807385
[23,] -2.103424
[24,] -4.391930
[25,] -1.510120
[26,] -2.939284
[27,] -2.893097
[28,] -1.612673
[29,] -1.567960
[30,] -1.343945
[31,] -3.025810
[32,] -2.498475
[33,] -4.170075
[34,] -3.796244
[35,] -0.123807
[36,] -2.027379
[37,] -0.006266
[38,] -3.331047
[39,] -3.711077
[40,] -1.217285
[41,] -2.202887
[42,] -2.325141
[43,] -1.041472
[44,] -1.060547
[45,] -1.262992
[46,] -1.294897
[47,] -1.332112
[48,] -2.355888
[49,] -1.524871
[50,] -1.519095
[51,] -2.181995
[52,] -2.961278
[53,] -4.450147
[54,] -2.878280
[55,] -2.192338
[56,] -2.152492
[57,] -4.795048
[58,] -2.491980
[59,] 0.116957
[60,] -0.082813
[61,] -0.143852
[62,] -1.578027
[63,] -3.806027
[64,] -3.305292
[65,] -1.994223
[66,] -2.300794
[67,] -4.016276
[68,] -4.686823
[69,] -2.735697
[70,] -0.081064
[71,] -0.975719
[72,] -0.731421
[73,] -2.141869
[74,] -1.741693
[75,] -1.787338
[76,] -4.648152
[77,] -0.537927
[78,] -1.782607
[79,] -2.577126
[80,] -1.419796
[81,] -3.945282
[82,] -0.127039
[83,] -0.872370
[84,] -2.472444
[85,] -1.014571
[86,] -1.684729
[87,] -1.663082
[88,] -2.116375
[89,] -5.135845
[90,] -2.076462
[91,] -0.630255
[92,] -2.181298
[93,] -3.951022
[94,] -1.926048
[95,] -1.610804
[96,] -0.605913
[97,] -0.760801
[98,] -1.775571
[99,] -1.166083
[100,] -2.125673
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -4.045799
[2,] -2.735944
[3,] -3.404771
[4,] -1.956603
[5,] -2.436632
[6,] -1.049618
[7,] -2.972233
[8,] -1.794241
[9,] -1.537933
[10,] -0.753533
[11,] NaN
[12,] -0.297760
[13,] -1.799527
[14,] -1.427813
[15,] -1.645026
[16,] -2.528812
[17,] -2.535219
[18,] 0.455272
[19,] -2.312453
[20,] -4.414079
[21,] -1.546350
[22,] -2.807205
[23,] -2.109986
[24,] -4.403379
[25,] -1.539077
[26,] -2.941362
[27,] -2.892006
[28,] -1.667899
[29,] -1.569526
[30,] -1.343105
[31,] -3.079483
[32,] -2.497747
[33,] -4.213048
[34,] -3.797179
[35,] -0.119859
[36,] -2.026444
[37,] -0.006113
[38,] -3.366567
[39,] -3.874663
[40,] -1.216589
[41,] -2.231090
[42,] -2.324738
[43,] -1.042440
[44,] -1.060076
[45,] -1.262842
[46,] -1.314203
[47,] -1.328549
[48,] -2.381864
[49,] -1.526041
[50,] -1.544907
[51,] -2.215588
[52,] -2.960656
[53,] -4.468783
[54,] -2.876549
[55,] -2.191718
[56,] -2.151813
[57,] -4.801915
[58,] -2.490518
[59,] 0.123379
[60,] -0.094098
[61,] 0.006358
[62,] -1.585542
[63,] -3.809400
[64,] -3.304515
[65,] -1.997225
[66,] -2.300165
[67,] -4.032731
[68,] -4.687501
[69,] -2.736534
[70,] -0.080846
[71,] -0.975386
[72,] -0.731070
[73,] -2.139519
[74,] -1.742312
[75,] -1.798390
[76,] -4.690934
[77,] -0.540412
[78,] -1.782023
[79,] -2.576243
[80,] -1.382740
[81,] -4.114416
[82,] -0.126888
[83,] -0.881708
[84,] -2.494611
[85,] -1.017422
[86,] -1.696460
[87,] -1.674352
[88,] -2.118331
[89,] -5.133625
[90,] -2.075577
[91,] -0.616614
[92,] -2.355168
[93,] -3.973588
[94,] -1.926370
[95,] -1.609944
[96,] -0.605748
[97,] -0.762234
[98,] -1.852672
[99,] -1.165930
[100,] -2.124572
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.969939
[2,] -2.710772
[3,] -3.403079
[4,] -1.947892
[5,] -2.379175
[6,] -1.040059
[7,] -2.973478
[8,] -1.794842
[9,] -1.535915
[10,] -0.753633
[11,] -0.767913
[12,] -0.299641
[13,] -1.800399
[14,] -1.428317
[15,] -1.663253
[16,] -2.529844
[17,] -2.531950
[18,] 0.454910
[19,] -2.312338
[20,] -4.359370
[21,] -1.547177
[22,] -2.807385
[23,] -2.103424
[24,] -4.391930
[25,] -1.510120
[26,] -2.939284
[27,] -2.893097
[28,] -1.612673
[29,] -1.567960
[30,] -1.343945
[31,] -3.025810
[32,] -2.498475
[33,] -4.170075
[34,] -3.796244
[35,] -0.123807
[36,] -2.027379
[37,] -0.006266
[38,] -3.331047
[39,] -3.711077
[40,] -1.217285
[41,] -2.202887
[42,] -2.325141
[43,] -1.041472
[44,] -1.060547
[45,] -1.262992
[46,] -1.294897
[47,] -1.332112
[48,] -2.355888
[49,] -1.524871
[50,] -1.519095
[51,] -2.181995
[52,] -2.961278
[53,] -4.450147
[54,] -2.878280
[55,] -2.192338
[56,] -2.152492
[57,] -4.795048
[58,] -2.491980
[59,] 0.116957
[60,] -0.082813
[61,] -0.143852
[62,] -1.578027
[63,] -3.806027
[64,] -3.305292
[65,] -1.994223
[66,] -2.300794
[67,] -4.016276
[68,] -4.686823
[69,] -2.735697
[70,] -0.081064
[71,] -0.975719
[72,] -0.731421
[73,] -2.141869
[74,] -1.741693
[75,] -1.787338
[76,] -4.648152
[77,] -0.537927
[78,] -1.782607
[79,] -2.577126
[80,] -1.419796
[81,] -3.945282
[82,] -0.127039
[83,] -0.872370
[84,] -2.472444
[85,] -1.014571
[86,] -1.684729
[87,] -1.663082
[88,] -2.116375
[89,] -5.135845
[90,] -2.076462
[91,] -0.630255
[92,] -2.181298
[93,] -3.951022
[94,] -1.926048
[95,] -1.610804
[96,] -0.605913
[97,] -0.760801
[98,] -1.775571
[99,] -1.166083
[100,] -2.125673
$infit
infit in_t in_chisq in_df in_pv
[1,] 2.020654 2.895962 34.694 14 0.002
[2,] 1.641246 1.916335 30.928 14 0.006
[3,] 1.896030 2.748757 30.570 14 0.006
[4,] 1.500488 1.668918 24.470 14 0.040
[5,] 1.574857 1.793655 28.059 14 0.014
[6,] 1.337052 1.172253 16.490 14 0.284
[7,] 1.785671 2.558296 27.712 14 0.016
[8,] 1.483862 1.700250 22.424 14 0.070
[9,] 1.410802 1.425905 21.916 14 0.080
[10,] 1.196803 0.806177 18.092 14 0.203
[11,] 1.157454 0.545158 15.648 14 0.335
[12,] 0.979244 0.031908 19.802 14 0.137
[13,] 1.461120 1.654334 23.263 14 0.056
[14,] 1.370243 1.359899 21.384 14 0.092
[15,] 1.418949 1.323047 22.179 14 0.075
[16,] 1.645773 2.193654 26.604 14 0.022
[17,] 1.662683 2.163072 26.570 14 0.022
[18,] 0.882086 -0.373581 12.827 14 0.540
[19,] 1.582828 2.022519 26.016 14 0.026
[20,] 1.829703 2.461312 78.400 14 0.000
[21,] 1.388023 1.418533 22.487 14 0.069
[22,] 1.762229 2.427800 26.817 14 0.020
[23,] 1.418085 1.466337 33.797 14 0.002
[24,] 2.143098 3.326219 35.436 14 0.001
[25,] 1.413003 1.463104 19.756 14 0.138
[26,] 1.724361 2.295466 30.584 14 0.006
[27,] 1.771364 2.497557 27.253 14 0.018
[28,] 1.391064 1.229288 22.130 14 0.076
[29,] 1.415700 1.475370 21.851 14 0.082
[30,] 1.351325 1.298279 20.922 14 0.104
[31,] 1.711368 1.934311 32.276 14 0.004
[32,] 1.661131 2.187633 25.884 14 0.027
[33,] 2.056655 2.917727 36.697 14 0.001
[34,] 1.999070 3.008362 32.204 14 0.004
[35,] 1.054542 0.291462 13.923 14 0.455
[36,] 1.547608 1.893249 23.320 14 0.055
[37,] 1.016852 0.151588 14.497 14 0.413
[38,] 1.888053 2.600698 30.223 14 0.007
[39,] 1.902885 2.264427 35.468 14 0.001
[40,] 1.302202 1.143101 21.046 14 0.100
[41,] 1.461316 1.606249 32.556 14 0.003
[42,] 1.627092 2.090377 24.746 14 0.037
[43,] 1.184931 0.767041 24.266 14 0.043
[44,] 1.273254 1.049081 19.915 14 0.133
[45,] 1.368487 1.289595 19.157 14 0.159
[46,] 1.365992 1.312375 18.427 14 0.188
[47,] 1.359860 1.287639 19.177 14 0.158
[48,] 1.641882 1.998495 24.764 14 0.037
[49,] 1.383999 1.301769 22.076 14 0.077
[50,] 1.437669 1.501620 19.039 14 0.163
[51,] 1.567951 1.847964 25.071 14 0.034
[52,] 1.741700 2.462289 29.087 14 0.010
[53,] 2.164405 3.337318 35.873 14 0.001
[54,] 1.737938 2.426669 28.241 14 0.013
[55,] 1.580218 1.964670 24.522 14 0.040
[56,] 1.552791 1.889991 25.063 14 0.034
[57,] 2.270201 3.589358 36.774 14 0.001
[58,] 1.640777 2.178509 26.265 14 0.024
[59,] 0.926861 -0.172163 15.694 14 0.332
[60,] 0.955483 -0.057637 17.143 14 0.249
[61,] 0.912000 -0.113494 11.744 14 0.627
[62,] 1.424136 1.469676 21.906 14 0.081
[63,] 2.014818 3.024757 32.114 14 0.004
[64,] 1.869939 2.723776 29.638 14 0.009
[65,] 1.530288 1.785883 23.922 14 0.047
[66,] 1.593046 1.998369 25.699 14 0.028
[67,] 1.970085 2.811038 37.628 14 0.001
[68,] 2.226391 3.529898 36.541 14 0.001
[69,] 1.708655 2.280728 27.884 14 0.015
[70,] 1.033463 0.213175 14.929 14 0.383
[71,] 1.246731 0.955924 19.610 14 0.143
[72,] 1.209615 0.844468 17.462 14 0.232
[73,] 1.543412 1.895263 25.249 14 0.032
[74,] 1.466993 1.621949 22.489 14 0.069
[75,] 1.482714 1.707229 21.214 14 0.096
[76,] 2.223601 3.312206 37.098 14 0.001
[77,] 1.157210 0.660274 15.899 14 0.320
[78,] 1.493727 1.720022 22.019 14 0.078
[79,] 1.688130 2.269914 25.923 14 0.026
[80,] 1.381447 1.186833 19.323 14 0.153
[81,] 2.054267 2.583210 31.953 14 0.004
[82,] 1.043721 0.251451 15.175 14 0.366
[83,] 1.230947 0.831177 18.265 14 0.195
[84,] 1.480867 1.477328 39.173 14 0.000
[85,] 1.320304 1.108626 16.794 14 0.267
[86,] 1.455662 1.518628 21.147 14 0.098
[87,] 1.409827 1.397652 23.738 14 0.049
[88,] 1.548490 1.858030 24.938 14 0.035
[89,] 2.345267 3.854728 37.796 14 0.001
[90,] 1.544281 1.881845 24.067 14 0.045
[91,] 1.139699 0.548035 17.600 14 0.226
[92,] 1.553950 1.594924 24.246 14 0.043
[93,] 2.019506 2.923568 34.348 14 0.002
[94,] 1.505934 1.736970 23.758 14 0.049
[95,] 1.355241 1.327014 24.971 14 0.035
[96,] 1.174843 0.711513 17.100 14 0.251
[97,] 1.228909 0.907457 16.537 14 0.282
[98,] 1.409383 1.295994 24.919 14 0.035
[99,] 1.288505 1.033796 20.952 14 0.103
[100,] 1.550597 1.888450 24.663 14 0.038
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 2.312900 2.792211 34.694 14 0.002
[2,] 2.061889 2.217917 30.928 14 0.006
[3,] 2.038013 2.704168 30.570 14 0.006
[4,] 1.631318 1.677249 24.470 14 0.040
[5,] 1.870632 1.975892 28.059 14 0.014
[6,] 1.099341 0.375028 16.490 14 0.284
[7,] 1.847487 2.310633 27.712 14 0.016
[8,] 1.494962 1.538482 22.424 14 0.070
[9,] 1.461039 1.330614 21.916 14 0.080
[10,] 1.206116 0.708193 18.092 14 0.203
[11,] 1.043208 0.249345 15.648 14 0.335
[12,] 1.320111 0.854554 19.802 14 0.137
[13,] 1.550877 1.605384 23.263 14 0.056
[14,] 1.425588 1.353419 21.384 14 0.092
[15,] 1.478612 1.164232 22.179 14 0.075
[16,] 1.773592 2.078448 26.604 14 0.022
[17,] 1.771305 2.168084 26.570 14 0.022
[18,] 0.855104 -0.407245 12.827 14 0.540
[19,] 1.734408 1.921623 26.016 14 0.026
[20,] 5.226651 3.299533 78.400 14 0.000
[21,] 1.499140 1.533701 22.487 14 0.069
[22,] 1.787811 2.217317 26.817 14 0.020
[23,] 2.253112 2.051487 33.797 14 0.002
[24,] 2.362393 3.326918 35.436 14 0.001
[25,] 1.317079 0.767966 19.756 14 0.138
[26,] 2.038923 2.607108 30.584 14 0.006
[27,] 1.816875 2.306478 27.253 14 0.018
[28,] 1.475302 1.134912 22.130 14 0.076
[29,] 1.456735 1.434582 21.851 14 0.082
[30,] 1.394808 1.276609 20.922 14 0.104
[31,] 2.151762 2.140783 32.276 14 0.004
[32,] 1.725593 2.111989 25.884 14 0.027
[33,] 2.446445 2.894659 36.697 14 0.001
[34,] 2.146937 2.964854 32.204 14 0.004
[35,] 0.928208 -0.020861 13.923 14 0.455
[36,] 1.554674 1.673373 23.320 14 0.055
[37,] 0.966456 -0.013807 14.497 14 0.413
[38,] 2.014862 2.307887 30.223 14 0.007
[39,] 2.364524 2.336838 35.468 14 0.001
[40,] 1.403050 1.297860 21.046 14 0.100
[41,] 2.170417 2.033843 32.556 14 0.003
[42,] 1.649711 1.930861 24.746 14 0.037
[43,] 1.617718 1.568613 24.266 14 0.043
[44,] 1.327645 1.093855 19.915 14 0.133
[45,] 1.277131 0.859141 19.157 14 0.159
[46,] 1.228455 0.597094 18.427 14 0.188
[47,] 1.278493 0.674936 19.177 14 0.158
[48,] 1.650958 0.984897 24.764 14 0.037
[49,] 1.471751 0.784879 22.076 14 0.077
[50,] 1.269240 0.639717 19.039 14 0.163
[51,] 1.671426 1.748872 25.071 14 0.034
[52,] 1.939161 2.364217 29.087 14 0.010
[53,] 2.391561 3.241556 35.873 14 0.001
[54,] 1.882714 2.406267 28.241 14 0.013
[55,] 1.634769 1.895767 24.522 14 0.040
[56,] 1.670838 1.982100 25.063 14 0.034
[57,] 2.451606 3.426163 36.774 14 0.001
[58,] 1.750994 2.038403 26.265 14 0.024
[59,] 1.046243 0.246537 15.694 14 0.332
[60,] 1.142850 0.484386 17.143 14 0.249
[61,] 0.782932 -0.255852 11.744 14 0.627
[62,] 1.460432 1.344252 21.906 14 0.081
[63,] 2.140926 2.881162 32.114 14 0.004
[64,] 1.975848 2.668895 29.638 14 0.009
[65,] 1.594804 1.707652 23.922 14 0.047
[66,] 1.713269 2.082801 25.699 14 0.028
[67,] 2.508535 3.158921 37.628 14 0.001
[68,] 2.436038 3.524734 36.541 14 0.001
[69,] 1.858915 2.347602 27.884 14 0.015
[70,] 0.995280 0.084015 14.929 14 0.383
[71,] 1.307356 1.042125 19.610 14 0.143
[72,] 1.164151 0.610960 17.462 14 0.232
[73,] 1.683292 1.925185 25.249 14 0.032
[74,] 1.499263 1.532228 22.489 14 0.069
[75,] 1.414282 1.031465 21.214 14 0.096
[76,] 2.473219 3.007666 37.098 14 0.001
[77,] 1.059930 0.279939 15.899 14 0.320
[78,] 1.467951 1.476506 22.019 14 0.078
[79,] 1.728230 2.113080 25.923 14 0.026
[80,] 1.288177 0.761776 19.323 14 0.153
[81,] 2.130168 2.064894 31.953 14 0.004
[82,] 1.011673 0.138201 15.175 14 0.366
[83,] 1.217669 0.536179 18.265 14 0.195
[84,] 2.611564 1.383051 39.173 14 0.000
[85,] 1.119624 0.426020 16.794 14 0.267
[86,] 1.409793 0.775017 21.147 14 0.098
[87,] 1.582510 1.530448 23.738 14 0.049
[88,] 1.662501 1.939793 24.938 14 0.035
[89,] 2.519753 3.722806 37.796 14 0.001
[90,] 1.604494 1.799475 24.067 14 0.045
[91,] 1.173350 0.547441 17.600 14 0.226
[92,] 1.616379 1.348341 24.246 14 0.043
[93,] 2.289836 2.816408 34.348 14 0.002
[94,] 1.583883 1.749611 23.758 14 0.049
[95,] 1.664762 1.870884 24.971 14 0.035
[96,] 1.140004 0.546132 17.100 14 0.251
[97,] 1.102438 0.377636 16.537 14 0.282
[98,] 1.661293 1.494405 24.919 14 0.035
[99,] 1.396802 1.106934 20.952 14 0.103
[100,] 1.644182 1.914894 24.663 14 0.038
attr(,"class")
[1] "list" "PPfit"
Estimating: 4pl model ...
type = mle
Estimation finished!
Estimating: 4pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -3.737824
[2,] -2.816291
[3,] -3.243171
[4,] -2.096501
[5,] -2.564774
[6,] -0.673569
[7,] -2.544653
[8,] -1.477405
[9,] -1.470265
[10,] -0.777959
[11,] -0.917715
[12,] -0.381945
[13,] -1.176047
[14,] -1.106533
[15,] -1.584658
[16,] -1.915156
[17,] -2.630140
[18,] 0.497363
[19,] -1.465959
[20,] -2.952026
[21,] -1.829582
[22,] -2.480497
[23,] -0.923701
[24,] -4.621587
[25,] -1.334454
[26,] -2.792790
[27,] -2.454056
[28,] -1.617774
[29,] -1.553276
[30,] -0.965062
[31,] -3.070192
[32,] -2.558858
[33,] -4.107884
[34,] -3.789054
[35,] 0.011436
[36,] -2.052186
[37,] 0.055447
[38,] -3.404522
[39,] -3.736122
[40,] -0.617214
[41,] -0.880919
[42,] -2.101667
[43,] -0.987165
[44,] -1.156376
[45,] -1.044257
[46,] -1.058436
[47,] -1.156802
[48,] -2.064625
[49,] -1.120503
[50,] -1.388513
[51,] -2.284580
[52,] -2.017491
[53,] -4.803945
[54,] -3.214097
[55,] -1.726862
[56,] -2.377039
[57,] -4.761327
[58,] -1.983717
[59,] 0.259010
[60,] -0.251341
[61,] -0.114005
[62,] -1.706363
[63,] -3.766629
[64,] -3.107501
[65,] -2.109081
[66,] -2.075601
[67,] -4.010560
[68,] -4.580847
[69,] -2.986081
[70,] -0.027282
[71,] -1.138128
[72,] -0.656058
[73,] -2.113418
[74,] -1.428210
[75,] -1.405381
[76,] -4.487552
[77,] -0.345483
[78,] -1.199770
[79,] -2.397962
[80,] -1.291019
[81,] -3.983587
[82,] -0.137060
[83,] -0.212167
[84,] -1.097714
[85,] -0.535060
[86,] -1.410041
[87,] -1.427171
[88,] -1.752695
[89,] -5.371338
[90,] -2.181894
[91,] -0.501101
[92,] -2.169422
[93,] -3.932117
[94,] -2.070407
[95,] -1.036581
[96,] -0.441274
[97,] -0.794962
[98,] -1.987974
[99,] -1.039387
[100,] -1.821773
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.792057
[2,] -2.825765
[3,] -3.237961
[4,] -2.100087
[5,] -2.622936
[6,] -0.673998
[7,] -2.561448
[8,] -1.475537
[9,] -1.470301
[10,] -0.777025
[11,] NaN
[12,] -0.374063
[13,] -1.177167
[14,] -1.105272
[15,] -1.566797
[16,] -1.921057
[17,] -2.630956
[18,] 0.498896
[19,] -1.465457
[20,] -2.918689
[21,] -1.826077
[22,] -2.475960
[23,] -0.923700
[24,] -4.624991
[25,] -1.352570
[26,] -2.790728
[27,] -2.454838
[28,] -1.678113
[29,] -1.554386
[30,] -0.968028
[31,] -3.114732
[32,] -2.554127
[33,] -4.140377
[34,] -3.781896
[35,] 0.015650
[36,] -2.048533
[37,] 0.056595
[38,] -3.430023
[39,] -3.882482
[40,] -0.617785
[41,] -0.882634
[42,] -2.098672
[43,] -0.987216
[44,] -1.154257
[45,] -1.043731
[46,] -1.072360
[47,] -1.149547
[48,] -2.071644
[49,] -1.120478
[50,] -1.395883
[51,] -2.316366
[52,] -2.018296
[53,] -4.825405
[54,] -3.207824
[55,] -1.768283
[56,] -2.372547
[57,] -4.752035
[58,] -2.012719
[59,] 0.260785
[60,] -0.264038
[61,] 0.009071
[62,] -1.711521
[63,] -3.762380
[64,] -3.102719
[65,] -2.109226
[66,] -2.071873
[67,] -4.017643
[68,] -4.569409
[69,] -2.983119
[70,] -0.025744
[71,] -1.135057
[72,] -0.654933
[73,] -2.123401
[74,] -1.426137
[75,] -1.413789
[76,] -4.518029
[77,] -0.345581
[78,] -1.203842
[79,] -2.394392
[80,] -1.263554
[81,] -4.144202
[82,] -0.135155
[83,] -0.218818
[84,] -1.108111
[85,] -0.537960
[86,] -1.410839
[87,] -1.439843
[88,] -1.751367
[89,] -5.359189
[90,] -2.177639
[91,] -0.492226
[92,] -2.354908
[93,] -3.943185
[94,] -2.068558
[95,] -1.036778
[96,] -0.440535
[97,] -0.794032
[98,] -2.079925
[99,] -1.039680
[100,] -1.824201
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.737824
[2,] -2.816291
[3,] -3.243171
[4,] -2.096501
[5,] -2.564774
[6,] -0.673569
[7,] -2.544653
[8,] -1.477405
[9,] -1.470265
[10,] -0.777959
[11,] -0.917715
[12,] -0.381945
[13,] -1.176047
[14,] -1.106533
[15,] -1.584658
[16,] -1.915156
[17,] -2.630140
[18,] 0.497363
[19,] -1.465959
[20,] -2.952026
[21,] -1.829582
[22,] -2.480497
[23,] -0.923701
[24,] -4.621587
[25,] -1.334454
[26,] -2.792790
[27,] -2.454056
[28,] -1.617774
[29,] -1.553276
[30,] -0.965062
[31,] -3.070192
[32,] -2.558858
[33,] -4.107884
[34,] -3.789054
[35,] 0.011436
[36,] -2.052186
[37,] 0.055447
[38,] -3.404522
[39,] -3.736122
[40,] -0.617214
[41,] -0.880919
[42,] -2.101667
[43,] -0.987165
[44,] -1.156376
[45,] -1.044257
[46,] -1.058436
[47,] -1.156802
[48,] -2.064625
[49,] -1.120503
[50,] -1.388513
[51,] -2.284580
[52,] -2.017491
[53,] -4.803945
[54,] -3.214097
[55,] -1.726862
[56,] -2.377039
[57,] -4.761327
[58,] -1.983717
[59,] 0.259010
[60,] -0.251341
[61,] -0.114005
[62,] -1.706363
[63,] -3.766629
[64,] -3.107501
[65,] -2.109081
[66,] -2.075601
[67,] -4.010560
[68,] -4.580847
[69,] -2.986081
[70,] -0.027282
[71,] -1.138128
[72,] -0.656058
[73,] -2.113418
[74,] -1.428210
[75,] -1.405381
[76,] -4.487552
[77,] -0.345483
[78,] -1.199770
[79,] -2.397962
[80,] -1.291019
[81,] -3.983587
[82,] -0.137060
[83,] -0.212167
[84,] -1.097714
[85,] -0.535060
[86,] -1.410041
[87,] -1.427171
[88,] -1.752695
[89,] -5.371338
[90,] -2.181894
[91,] -0.501101
[92,] -2.169422
[93,] -3.932117
[94,] -2.070407
[95,] -1.036581
[96,] -0.441274
[97,] -0.794962
[98,] -1.987974
[99,] -1.039387
[100,] -1.821773
$infit
infit in_t in_chisq in_df in_pv
[1,] 1.942772 2.883050 32.062 14 0.004
[2,] 1.670640 1.957155 31.196 14 0.005
[3,] 1.782421 2.648288 29.165 14 0.010
[4,] 1.529123 1.742680 24.881 14 0.036
[5,] 1.615724 1.859441 29.156 14 0.010
[6,] 1.218634 0.863249 16.012 14 0.313
[7,] 1.655150 2.329127 23.587 14 0.051
[8,] 1.381450 1.507553 19.999 14 0.130
[9,] 1.385262 1.380884 21.044 14 0.101
[10,] 1.183126 0.803586 18.245 14 0.196
[11,] 1.195632 0.629765 16.053 14 0.310
[12,] 1.002166 0.109848 20.095 14 0.127
[13,] 1.287664 1.173366 19.230 14 0.156
[14,] 1.273651 1.135127 19.066 14 0.162
[15,] 1.392858 1.257353 22.016 14 0.078
[16,] 1.468665 1.747284 22.158 14 0.075
[17,] 1.650767 2.249756 26.078 14 0.025
[18,] 0.872825 -0.435125 12.791 14 0.543
[19,] 1.372857 1.410643 20.073 14 0.128
[20,] 1.535820 1.452389 61.225 14 0.000
[21,] 1.420876 1.607099 23.531 14 0.052
[22,] 1.629110 2.241998 24.361 14 0.041
[23,] 1.237335 0.931470 18.826 14 0.172
[24,] 2.128834 3.476719 35.309 14 0.001
[25,] 1.343176 1.294168 19.851 14 0.135
[26,] 1.663641 2.228932 28.529 14 0.012
[27,] 1.615642 2.264580 23.711 14 0.050
[28,] 1.393605 1.237159 22.218 14 0.074
[29,] 1.370552 1.431321 21.834 14 0.082
[30,] 1.249461 1.047138 18.035 14 0.205
[31,] 1.720693 1.942530 32.948 14 0.003
[32,] 1.613992 2.189417 26.070 14 0.025
[33,] 2.037194 2.925329 35.301 14 0.001
[34,] 1.914562 3.015693 31.390 14 0.005
[35,] 1.008161 0.115105 14.146 14 0.439
[36,] 1.509023 1.906333 22.976 14 0.061
[37,] 0.994952 0.064419 14.340 14 0.425
[38,] 1.887269 2.617328 30.517 14 0.006
[39,] 1.909712 2.264170 36.128 14 0.001
[40,] 1.150800 0.681690 17.177 14 0.247
[41,] 1.242687 0.904985 17.755 14 0.218
[42,] 1.532097 2.005200 22.447 14 0.070
[43,] 1.142257 0.647374 24.551 14 0.039
[44,] 1.257759 1.059200 20.745 14 0.108
[45,] 1.297403 1.098709 18.303 14 0.193
[46,] 1.292238 1.130720 17.933 14 0.210
[47,] 1.295282 1.153108 18.916 14 0.168
[48,] 1.453976 1.580738 29.947 14 0.008
[49,] 1.265292 1.017412 20.772 14 0.108
[50,] 1.376729 1.392003 19.677 14 0.141
[51,] 1.584311 1.896548 25.244 14 0.032
[52,] 1.536697 1.835977 23.362 14 0.055
[53,] 2.156246 2.459391 73.731 14 0.000
[54,] 1.755310 2.635329 29.265 14 0.010
[55,] 1.445234 1.677527 20.689 14 0.110
[56,] 1.567973 2.027683 25.652 14 0.029
[57,] 2.154337 3.599112 35.618 14 0.001
[58,] 1.507493 1.810594 22.315 14 0.072
[59,] 0.889416 -0.320608 15.256 14 0.361
[60,] 0.994014 0.079564 18.236 14 0.196
[61,] 0.910957 -0.115615 11.730 14 0.628
[62,] 1.443726 1.535104 22.296 14 0.073
[63,] 1.928657 2.986044 31.321 14 0.005
[64,] 1.719677 2.566545 29.241 14 0.010
[65,] 1.537705 1.838124 24.131 14 0.044
[66,] 1.501650 1.885652 23.456 14 0.053
[67,] 1.954917 2.820138 36.541 14 0.001
[68,] 2.079210 3.524696 35.149 14 0.001
[69,] 1.740379 2.413647 28.515 14 0.012
[70,] 1.012653 0.134253 14.783 14 0.393
[71,] 1.269487 1.071982 20.093 14 0.127
[72,] 1.168568 0.746613 17.196 14 0.246
[73,] 1.427979 1.657645 28.559 14 0.012
[74,] 1.370530 1.444144 20.018 14 0.130
[75,] 1.351478 1.316882 20.556 14 0.114
[76,] 2.173175 3.311271 34.730 14 0.002
[77,] 1.089367 0.434572 15.745 14 0.329
[78,] 1.309548 1.254794 18.847 14 0.171
[79,] 1.599100 2.202336 23.887 14 0.047
[80,] 1.346814 1.105112 18.937 14 0.167
[81,] 2.066840 2.588771 32.337 14 0.004
[82,] 1.035369 0.223251 15.369 14 0.353
[83,] 1.011935 0.137798 16.856 14 0.264
[84,] 1.268518 0.845690 19.955 14 0.132
[85,] 1.169310 0.682358 15.653 14 0.335
[86,] 1.331972 1.245603 22.275 14 0.073
[87,] 1.361042 1.299092 21.345 14 0.093
[88,] 1.435053 1.695145 21.441 14 0.091
[89,] 2.275732 4.009439 38.198 14 0.000
[90,] 1.528398 1.948185 24.080 14 0.045
[91,] 1.103363 0.436907 17.213 14 0.245
[92,] 1.552637 1.595852 24.307 14 0.042
[93,] 1.990350 2.909127 33.821 14 0.002
[94,] 1.505585 1.799371 24.230 14 0.043
[95,] 1.140674 0.637157 25.764 14 0.028
[96,] 1.122521 0.556417 16.234 14 0.299
[97,] 1.217552 0.921006 17.038 14 0.254
[98,] 1.457027 1.377236 26.420 14 0.023
[99,] 1.246408 0.916598 20.473 14 0.116
[100,] 1.361422 1.438904 27.067 14 0.019
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 2.137454 2.833035 32.062 14 0.004
[2,] 2.079738 2.206677 31.196 14 0.005
[3,] 1.944302 2.701877 29.165 14 0.010
[4,] 1.658706 1.714189 24.881 14 0.036
[5,] 1.943756 2.045492 29.156 14 0.010
[6,] 1.067451 0.299364 16.012 14 0.313
[7,] 1.572463 1.572162 23.587 14 0.051
[8,] 1.333253 1.142563 19.999 14 0.130
[9,] 1.402942 1.233041 21.044 14 0.101
[10,] 1.216353 0.797638 18.245 14 0.196
[11,] 1.070208 0.304142 16.053 14 0.310
[12,] 1.339638 0.881407 20.095 14 0.127
[13,] 1.282009 0.909082 19.230 14 0.156
[14,] 1.271058 0.959566 19.066 14 0.162
[15,] 1.467732 1.150403 22.016 14 0.078
[16,] 1.477208 1.328515 22.158 14 0.075
[17,] 1.738547 2.198674 26.078 14 0.025
[18,] 0.852741 -0.429420 12.791 14 0.543
[19,] 1.338223 0.952300 20.073 14 0.128
[20,] 4.081659 2.705107 61.225 14 0.000
[21,] 1.568765 1.805829 23.531 14 0.052
[22,] 1.624042 1.947582 24.361 14 0.041
[23,] 1.255051 0.645943 18.826 14 0.172
[24,] 2.353949 3.505412 35.309 14 0.001
[25,] 1.323402 0.866398 19.851 14 0.135
[26,] 1.901943 2.487821 28.529 14 0.012
[27,] 1.580712 1.719982 23.711 14 0.050
[28,] 1.481168 1.150355 22.218 14 0.074
[29,] 1.455574 1.501100 21.834 14 0.082
[30,] 1.202341 0.713686 18.035 14 0.205
[31,] 2.196506 2.190671 32.948 14 0.003
[32,] 1.738027 2.229370 26.070 14 0.025
[33,] 2.353392 2.851248 35.301 14 0.001
[34,] 2.092686 3.035111 31.390 14 0.005
[35,] 0.943083 -0.055236 14.146 14 0.439
[36,] 1.531721 1.703807 22.976 14 0.061
[37,] 0.955971 -0.057005 14.340 14 0.425
[38,] 2.034439 2.378723 30.517 14 0.006
[39,] 2.408541 2.379179 36.128 14 0.001
[40,] 1.145105 0.549392 17.177 14 0.247
[41,] 1.183636 0.493703 17.755 14 0.218
[42,] 1.496461 1.576813 22.447 14 0.070
[43,] 1.636710 1.803188 24.551 14 0.039
[44,] 1.382980 1.300552 20.745 14 0.108
[45,] 1.220204 0.739075 18.303 14 0.193
[46,] 1.195542 0.596477 17.933 14 0.210
[47,] 1.261084 0.769933 18.916 14 0.168
[48,] 1.996462 1.637954 29.947 14 0.008
[49,] 1.384818 0.846978 20.772 14 0.108
[50,] 1.311797 0.808713 19.677 14 0.141
[51,] 1.682906 1.773937 25.244 14 0.032
[52,] 1.557460 1.099339 23.362 14 0.055
[53,] 4.915431 2.934263 73.731 14 0.000
[54,] 1.951001 2.727527 29.265 14 0.010
[55,] 1.379278 1.110738 20.689 14 0.110
[56,] 1.710104 2.146674 25.652 14 0.029
[57,] 2.374505 3.602855 35.618 14 0.001
[58,] 1.487658 1.226247 22.315 14 0.072
[59,] 1.017041 0.164883 15.256 14 0.361
[60,] 1.215712 0.642548 18.236 14 0.196
[61,] 0.782026 -0.259002 11.730 14 0.628
[62,] 1.486419 1.399557 22.296 14 0.073
[63,] 2.088073 2.970855 31.321 14 0.005
[64,] 1.949411 2.687799 29.241 14 0.010
[65,] 1.608754 1.751410 24.131 14 0.044
[66,] 1.563713 1.786192 23.456 14 0.053
[67,] 2.436079 3.146947 36.541 14 0.001
[68,] 2.343257 3.543579 35.149 14 0.001
[69,] 1.901026 2.442536 28.515 14 0.012
[70,] 0.985562 0.047375 14.783 14 0.393
[71,] 1.339546 1.161440 20.093 14 0.127
[72,] 1.146373 0.583111 17.196 14 0.246
[73,] 1.903912 2.378998 28.559 14 0.012
[74,] 1.334552 1.161570 20.018 14 0.130
[75,] 1.370405 0.946176 20.556 14 0.114
[76,] 2.315307 2.951878 34.730 14 0.002
[77,] 1.049661 0.256735 15.745 14 0.329
[78,] 1.256480 0.851953 18.847 14 0.171
[79,] 1.592462 1.846969 23.887 14 0.047
[80,] 1.262481 0.716615 18.937 14 0.167
[81,] 2.155797 2.087139 32.337 14 0.004
[82,] 1.024604 0.180683 15.369 14 0.353
[83,] 1.123736 0.398360 16.856 14 0.264
[84,] 1.330351 0.657330 19.955 14 0.132
[85,] 1.043549 0.261510 15.653 14 0.335
[86,] 1.485028 1.081260 22.275 14 0.073
[87,] 1.422989 1.266023 21.345 14 0.093
[88,] 1.429425 1.372424 21.441 14 0.091
[89,] 2.546563 3.937294 38.198 14 0.000
[90,] 1.605308 1.900426 24.080 14 0.045
[91,] 1.147541 0.492084 17.213 14 0.245
[92,] 1.620466 1.362263 24.307 14 0.042
[93,] 2.254721 2.861026 33.821 14 0.002
[94,] 1.615366 1.864343 24.230 14 0.043
[95,] 1.717624 1.933133 25.764 14 0.028
[96,] 1.082234 0.375408 16.234 14 0.299
[97,] 1.135853 0.507511 17.038 14 0.254
[98,] 1.761304 1.608235 26.420 14 0.023
[99,] 1.364846 1.060110 20.473 14 0.116
[100,] 1.804478 2.192861 27.067 14 0.019
attr(,"class")
[1] "list" "PPfit"
PP documentation built on May 27, 2021, 5:07 p.m.
R Package Documentation
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Compute several person fit statistic for the 1-PL, 2-PL, 3-PL, 4-PL and PCM.
Usage
1 2 3 4 |
Arguments
respm |
numeric response matrix |
pp |
object of the class fourpl with estimated person parameter |
fitindices |
character vector of desired person fit statistics c("lz","lzstar","infit","outfit") |
SE |
logical: if true standard errors are computed using jackknife method |
Details
Please note that currently only the likelihood based LZ-Index (Drasgow, Levine, and Williams, 1985) and LZ*-Index (Snijders, 2001) are implemented. Also the INFIT-OUTIFT (Wright and Masters, 1982, 1990) statistic as well as the polytomouse version of INFIT-OUTFIT are supported. Other person fit statistics will be added soon.
The calculation of the person fit statistics requires the numeric response-matrix as well as an object of the fourpl-class. So first you should estimate the person parameter and afterwards calculate the person fit statistics. You could also use our PPass-function to estimate the person parameter and calculate the desired person fit simultaneously. It is possible to calculate several person fit statistics at once, you only have to specify them in a vector.
For the Partial Credit model we currently support the infit-outfit statistic. Please submit also the numeric response-matrix as well as the estimated person parameter with an gpcm-class.
Value
list of person-fits for each person-fit statistic
the list of person-fits contains the calculated person-fit (like lz, lzstar) and also additional information like p-value or standard error if desired.
the additional information is provided after the short form of the personfit
lz (lz)
lzstar (lzs)
infit the mean-square statistic (in)
outfit the mean-square statistic (ou)
_unst: unstandardised
_se: standard error
_t: t-value
_chisq: $chi^2$-value
_df: defrees of freedom
_pv: p-value
Author(s)
Jan Steinfeld
References
Armstrong, R. D., Stoumbos, Z. G., Kung, M. T. & Shi, M. (2007). On the performance of the lz person-fit statistic. Practical Assessment, Research & Evaluation, 12(16). Chicago
De La Torre, J., & Deng, W. (2008). Improving Person-Fit Assessment by Correcting the Ability Estimate and Its Reference Distribution. Journal of Educational Measurement, 45(2), 159-177.
Drasgow, F., Levine, M. V. & Williams, E. A. (1985) Appropriateness measurement with polychotomous item response models and standardized indices. British Journal of Mathematical and Statistical Psychology, 38(1), 67–86.
Efron, B., & Stein, C. (1981). The jackknife estimate of variance. The Annals of Statistics, 9(3), 586-596.
Karabatsos, G. (2003) Comparing the Aberrant Response Detection Performance of Thirty-Six Person-Fit Statistics. Applied Measurement In Education, 16(4), 277–298.
Magis, D., Raiche, G. & Beland, S. (2012) A didactic presentation of Snijders's l[sub]z[/sub] index of person fit with emphasis on response model selection and ability estimation. Journal of Educational and Behavioral Statistics, 37(1), 57–81.
Meijer, R. R. & Sijtsma, K. (2001) Methodology review: Evaluating person fit. Applied Psychological Measurement, 25(2), 107–135.
Molenaar, I. W. & Hoijtink, H. (1990) The many null distributions of person fit indices. Psychometrika, 55(1), 75–106.
Mousavi, A. & Cui, Y. Evaluate the performance of and of person fit: A simulation study.
Reise, S. P. (1990). A comparison of item-and person-fit methods of assessing model-data fit in IRT. Applied Psychological Measurement, 14(2), 127-137.
Snijders, T. B. (2001) Asymptotic null distribution of person fit statistics with estimated person parameter. Psychometrika, 66(3), 331–342.
Wright, B. D. & Masters, G. N. (1990). Computation of OUTFIT and INFIT Statistics. Rasch Measurement Transactions, 3:4, 84-85.
Wright, B. D., & Masters, G. N. (1982). Rating Scale Analysis. Rasch Measurement. MESA Press, 5835 S. Kimbark Avenue, Chicago, IL 60637.
See Also
PPall, PP_4pl, PPass
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | ################# Pfit ###################################################
### data creation ##########
set.seed(1337)
# intercepts
diffpar <- seq(-3,3,length=15)
# slope parameters
sl <- round(runif(15,0.5,1.5),2)
la <- round(runif(15,0,0.25),2)
ua <- round(runif(15,0.8,1),2)
# response matrix
awm <- matrix(sample(0:1,100*15,replace=TRUE),ncol=15)
# ------------------------------------------------------------------------
## 1PL model #####
# ------------------------------------------------------------------------
# MLE
res1plmle <- PP_4pl(respm = awm,thres = diffpar,type = "mle")
# WLE
res1plwle <- PP_4pl(respm = awm,thres = diffpar,type = "wle")
# MAP estimation
res1plmap <- PP_4pl(respm = awm,thres = diffpar,type = "map")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res1plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res1plmle,fitindices="lzstar")
Pfit(respm=awm,pp=res1plmap,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res1plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 2PL model #####
# ------------------------------------------------------------------------
# MLE
res2plmle <- PP_4pl(respm = awm,thres = diffpar, slopes = sl,type = "mle")
# WLE
res2plwle <- PP_4pl(respm = awm,thres = diffpar, slopes = sl,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res2plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res2plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res2plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 3PL model #####
# ------------------------------------------------------------------------
# MLE
res3plmle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,type = "mle")
# WLE
res3plwle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res3plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res3plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res3plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
# ------------------------------------------------------------------------
## 4PL model #####
# ------------------------------------------------------------------------
# MLE
res4plmle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,upperA=ua,type = "mle")
# WLE
res4plwle <- PP_4pl(respm = awm,thres = diffpar,
slopes = sl,lowerA = la,upperA=ua,type = "wle")
# ------------------------------------------------------------------------
## LZ*-Index #####
Pfit(respm=awm,pp=res4plwle,fitindices="lzstar")
Pfit(respm=awm,pp=res4plmle,fitindices="lzstar")
## LZ*-Index combined with Infit-Outfit #####
Pfit(respm=awm,pp=res4plwle,fitindices=c("lzstar","infit","outfit"))
# ------------------------------------------------------------------------
##########################################################################
|
Example output
PP package calling ...
Follow this project on github: https://github.com/manuelreif/PP.git
Estimating: 1pl model ...
type = mle
Estimation finished!
Estimating: 1pl model ...
type = wle
Estimation finished!
Estimating: 1pl model ...
type = map
Estimation finished!
Warning messages:
1: In PP_4pl(respm = awm, thres = diffpar, type = "map") :
all mu's are set to 0!
2: In PP_4pl(respm = awm, thres = diffpar, type = "map") :
all sigma2's are set to 1!
$lzstar
lzstar
[1,] -6.414996
[2,] -7.228344
[3,] -6.206937
[4,] -5.529163
[5,] -6.591151
[6,] -1.872497
[7,] -4.679573
[8,] -3.918292
[9,] -4.042381
[10,] -2.669941
[11,] -4.539781
[12,] -3.701172
[13,] -3.502175
[14,] -3.502175
[15,] -5.863915
[16,] -4.542468
[17,] -4.042381
[18,] -1.493611
[19,] -3.710234
[20,] -4.755188
[21,] -3.086058
[22,] -5.790820
[23,] -2.555598
[24,] -7.637878
[25,] -3.192791
[26,] -5.104368
[27,] -4.958586
[28,] -4.311697
[29,] -3.086058
[30,] -2.461882
[31,] -7.440741
[32,] -4.891971
[33,] -7.871406
[34,] -6.591151
[35,] -1.213530
[36,] -4.958586
[37,] -2.130803
[38,] -6.206937
[39,] -7.653139
[40,] -2.343201
[41,] -2.767996
[42,] -4.750527
[43,] -1.837706
[44,] -2.253823
[45,] -4.891971
[46,] -3.202970
[47,] -3.192791
[48,] -3.826557
[49,] -2.537733
[50,] -2.981224
[51,] -4.891971
[52,] -4.542468
[53,] -6.803549
[54,] -5.198679
[55,] -3.294116
[56,] -4.958586
[57,] -8.081369
[58,] -4.334410
[59,] -1.325984
[60,] -2.162368
[61,] -2.645532
[62,] -4.254778
[63,] -6.831113
[64,] -5.374703
[65,] -5.374703
[66,] -4.334410
[67,] -7.039172
[68,] -7.039172
[69,] -5.374703
[70,] -2.343201
[71,] -3.294116
[72,] -2.253823
[73,] -4.254778
[74,] -4.254778
[75,] -2.877999
[76,] -7.871406
[77,] -1.629647
[78,] -2.980393
[79,] -5.166644
[80,] -5.863915
[81,] -8.079465
[82,] -2.877999
[83,] -1.207261
[84,] -3.351075
[85,] -1.924626
[86,] -2.537733
[87,] -2.981224
[88,] -4.042381
[89,] -8.303115
[90,] -4.542468
[91,] -4.302040
[92,] -4.976933
[93,] -7.455289
[94,] -4.958586
[95,] -2.669941
[96,] -3.086058
[97,] -1.629647
[98,] -5.863915
[99,] -4.533442
[100,] -3.086058
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.415559
[2,] -7.234599
[3,] -6.207482
[4,] -5.533934
[5,] -6.596850
[6,] -1.877716
[7,] -4.683602
[8,] -3.918634
[9,] -4.045852
[10,] -2.670172
[11,] -4.572940
[12,] -3.765275
[13,] -3.502480
[14,] -3.502480
[15,] -5.880715
[16,] -4.542865
[17,] -4.045852
[18,] -1.494855
[19,] -3.710557
[20,] -4.768771
[21,] -3.086326
[22,] -5.791328
[23,] -2.557770
[24,] -7.659826
[25,] -3.195520
[26,] -5.108768
[27,] -4.959020
[28,] -4.323993
[29,] -3.086326
[30,] -2.462094
[31,] -7.447182
[32,] -4.896185
[33,] -7.872099
[34,] -6.596850
[35,] -1.213632
[36,] -4.959020
[37,] -2.132604
[38,] -6.207482
[39,] -7.659765
[40,] -2.345187
[41,] -2.770354
[42,] -4.750943
[43,] -1.837863
[44,] -2.254017
[45,] -4.896185
[46,] -3.212049
[47,] -3.195520
[48,] -3.854414
[49,] -2.544882
[50,] -2.989660
[51,] -4.896185
[52,] -4.542865
[53,] -6.809433
[54,] -5.213549
[55,] -3.294403
[56,] -4.959020
[57,] -8.104604
[58,] -4.334788
[59,] -1.347989
[60,] -2.177854
[61,] -2.690926
[62,] -4.258435
[63,] -6.831714
[64,] -5.375174
[65,] -5.375174
[66,] -4.334788
[67,] -7.039791
[68,] -7.039791
[69,] -5.375174
[70,] -2.345187
[71,] -3.294403
[72,] -2.254017
[73,] -4.258435
[74,] -4.258435
[75,] -2.878249
[76,] -7.872099
[77,] -1.629786
[78,] -2.982937
[79,] -5.167097
[80,] -5.880715
[81,] -8.080176
[82,] -2.878249
[83,] -1.210549
[84,] -3.375397
[85,] -1.938345
[86,] -2.544882
[87,] -2.989660
[88,] -4.045852
[89,] -8.326993
[90,] -4.542865
[91,] -4.333431
[92,] -4.991160
[93,] -7.455945
[94,] -4.959020
[95,] -2.670172
[96,] -3.086326
[97,] -1.629786
[98,] -5.880715
[99,] -4.546382
[100,] -3.086326
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.408652
[2,] -7.160330
[3,] -6.200867
[4,] -5.481571
[5,] -6.530796
[6,] -1.860648
[7,] -4.642192
[8,] -3.915231
[9,] -4.012657
[10,] -2.668520
[11,] -4.321656
[12,] -3.409262
[13,] -3.499660
[14,] -3.499660
[15,] -5.714499
[16,] -4.538586
[17,] -4.012657
[18,] -1.494518
[19,] -3.707446
[20,] -4.643985
[21,] -3.084090
[22,] -5.785297
[23,] -2.543743
[24,] -7.427322
[25,] -3.173277
[26,] -5.061881
[27,] -4.954156
[28,] -4.215779
[29,] -3.084090
[30,] -2.460735
[31,] -7.370175
[32,] -4.852037
[33,] -7.863147
[34,] -6.530796
[35,] -1.214024
[36,] -4.954156
[37,] -2.124053
[38,] -6.200867
[39,] -7.580020
[40,] -2.333898
[41,] -2.753588
[42,] -4.746371
[43,] -1.837380
[44,] -2.252950
[45,] -4.852037
[46,] -3.145265
[47,] -3.173277
[48,] -3.659081
[49,] -2.502956
[50,] -2.931162
[51,] -4.852037
[52,] -4.538586
[53,] -6.740640
[54,] -5.072191
[55,] -3.291875
[56,] -4.954156
[57,] -7.855528
[58,] -4.330801
[59,] -1.333638
[60,] -2.113071
[61,] -2.486762
[62,] -4.222502
[63,] -6.824222
[64,] -5.369726
[65,] -5.369726
[66,] -4.330801
[67,] -7.032007
[68,] -7.032007
[69,] -5.369726
[70,] -2.333898
[71,] -3.291875
[72,] -2.252950
[73,] -4.222502
[74,] -4.222502
[75,] -2.876305
[76,] -7.863147
[77,] -1.629595
[78,] -2.963433
[79,] -5.161941
[80,] -5.714499
[81,] -8.070933
[82,] -2.876305
[83,] -1.218339
[84,] -3.217364
[85,] -1.892213
[86,] -2.502956
[87,] -2.931162
[88,] -4.012657
[89,] -8.069631
[90,] -4.538586
[91,] -4.100798
[92,] -4.858088
[93,] -7.447577
[94,] -4.954156
[95,] -2.668520
[96,] -3.084090
[97,] -1.629595
[98,] -5.714499
[99,] -4.429882
[100,] -3.084090
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.414996
[2,] -7.228344
[3,] -6.206937
[4,] -5.529163
[5,] -6.591151
[6,] -1.872497
[7,] -4.679573
[8,] -3.918292
[9,] -4.042381
[10,] -2.669941
[11,] -4.539781
[12,] -3.701172
[13,] -3.502175
[14,] -3.502175
[15,] -5.863915
[16,] -4.542468
[17,] -4.042381
[18,] -1.493611
[19,] -3.710234
[20,] -4.755188
[21,] -3.086058
[22,] -5.790820
[23,] -2.555598
[24,] -7.637878
[25,] -3.192791
[26,] -5.104368
[27,] -4.958586
[28,] -4.311697
[29,] -3.086058
[30,] -2.461882
[31,] -7.440741
[32,] -4.891971
[33,] -7.871406
[34,] -6.591151
[35,] -1.213530
[36,] -4.958586
[37,] -2.130803
[38,] -6.206937
[39,] -7.653139
[40,] -2.343201
[41,] -2.767996
[42,] -4.750527
[43,] -1.837706
[44,] -2.253823
[45,] -4.891971
[46,] -3.202970
[47,] -3.192791
[48,] -3.826557
[49,] -2.537733
[50,] -2.981224
[51,] -4.891971
[52,] -4.542468
[53,] -6.803549
[54,] -5.198679
[55,] -3.294116
[56,] -4.958586
[57,] -8.081369
[58,] -4.334410
[59,] -1.325984
[60,] -2.162368
[61,] -2.645532
[62,] -4.254778
[63,] -6.831113
[64,] -5.374703
[65,] -5.374703
[66,] -4.334410
[67,] -7.039172
[68,] -7.039172
[69,] -5.374703
[70,] -2.343201
[71,] -3.294116
[72,] -2.253823
[73,] -4.254778
[74,] -4.254778
[75,] -2.877999
[76,] -7.871406
[77,] -1.629647
[78,] -2.980393
[79,] -5.166644
[80,] -5.863915
[81,] -8.079465
[82,] -2.877999
[83,] -1.207261
[84,] -3.351075
[85,] -1.924626
[86,] -2.537733
[87,] -2.981224
[88,] -4.042381
[89,] -8.303115
[90,] -4.542468
[91,] -4.302040
[92,] -4.976933
[93,] -7.455289
[94,] -4.958586
[95,] -2.669941
[96,] -3.086058
[97,] -1.629647
[98,] -5.863915
[99,] -4.533442
[100,] -3.086058
$infit
infit in_t in_chisq in_df in_pv
[1,] 3.139671 3.958653 76.751 14 0.000
[2,] 3.295823 4.169337 107.918 14 0.000
[3,] 2.979662 3.749448 86.037 14 0.000
[4,] 2.793206 3.507021 84.946 14 0.000
[5,] 3.007458 3.798334 107.702 14 0.000
[6,] 1.789309 1.902399 22.509 14 0.069
[7,] 2.584669 3.208799 62.591 14 0.000
[8,] 2.340608 2.829868 55.746 14 0.000
[9,] 2.254887 2.702538 70.571 14 0.000
[10,] 1.880894 2.058417 41.468 14 0.000
[11,] 2.305234 2.781082 68.532 14 0.000
[12,] 1.744187 1.744733 190.130 14 0.000
[13,] 2.115091 2.465438 55.228 14 0.000
[14,] 2.114536 2.464509 55.239 14 0.000
[15,] 2.808153 3.541247 89.898 14 0.000
[16,] 2.490350 3.059081 60.812 14 0.000
[17,] 2.621255 3.262251 38.763 14 0.000
[18,] 1.459556 1.234676 31.132 14 0.005
[19,] 2.206142 2.615552 53.239 14 0.000
[20,] 2.186738 2.601456 116.592 14 0.000
[21,] 2.099545 2.439379 46.747 14 0.000
[22,] 2.981363 3.751711 68.964 14 0.000
[23,] 1.785192 1.887910 46.311 14 0.000
[24,] 3.427464 4.348233 121.194 14 0.000
[25,] 2.100743 2.448848 43.544 14 0.000
[26,] 2.671134 3.334329 70.702 14 0.000
[27,] 2.682188 3.339680 62.731 14 0.000
[28,] 2.209904 2.639492 84.855 14 0.000
[29,] 2.078246 2.403467 42.490 14 0.000
[30,] 1.957113 2.194415 31.201 14 0.005
[31,] 3.382112 4.276124 108.949 14 0.000
[32,] 2.604888 3.238401 76.293 14 0.000
[33,] 3.548119 4.462258 100.679 14 0.000
[34,] 3.099729 3.919534 101.100 14 0.000
[35,] 1.397652 1.096849 27.715 14 0.016
[36,] 2.753098 3.440005 57.740 14 0.000
[37,] 1.713403 1.751198 34.843 14 0.002
[38,] 3.233749 4.078354 66.061 14 0.000
[39,] 3.606397 4.545445 89.625 14 0.000
[40,] 1.768187 1.855862 42.845 14 0.000
[41,] 1.932486 2.157336 45.521 14 0.000
[42,] 2.665246 3.315448 61.332 14 0.000
[43,] 1.524498 1.368367 39.496 14 0.000
[44,] 1.838589 1.981341 33.318 14 0.003
[45,] 2.510846 3.099388 81.201 14 0.000
[46,] 2.316151 2.810610 30.256 14 0.007
[47,] 2.077154 2.408940 44.026 14 0.000
[48,] 2.192425 2.599501 65.121 14 0.000
[49,] 1.729283 1.788059 47.854 14 0.000
[50,] 2.083985 2.429433 34.688 14 0.002
[51,] 2.588501 3.214422 69.114 14 0.000
[52,] 2.513691 3.093976 57.756 14 0.000
[53,] 3.099478 3.919208 106.091 14 0.000
[54,] 2.640598 3.302768 97.037 14 0.000
[55,] 2.303424 2.771442 35.854 14 0.001
[56,] 2.565448 3.170586 74.595 14 0.000
[57,] 3.431604 4.353286 148.681 14 0.000
[58,] 2.469323 3.027460 57.571 14 0.000
[59,] 1.429139 1.130201 21.517 14 0.089
[60,] 1.653236 1.632657 34.456 14 0.002
[61,] 1.783957 1.816886 43.772 14 0.000
[62,] 2.424967 2.969376 58.409 14 0.000
[63,] 3.199803 4.035433 91.873 14 0.000
[64,] 2.694625 3.357403 78.566 14 0.000
[65,] 2.756596 3.444909 73.751 14 0.000
[66,] 2.535591 3.126519 52.088 14 0.000
[67,] 3.490485 4.393625 77.475 14 0.000
[68,] 3.346996 4.219405 87.770 14 0.000
[69,] 2.923227 3.673878 61.899 14 0.000
[70,] 1.750266 1.821866 38.742 14 0.000
[71,] 1.963514 2.205674 59.573 14 0.000
[72,] 1.892090 2.078622 28.242 14 0.013
[73,] 2.338474 2.835295 72.961 14 0.000
[74,] 2.324737 2.813697 75.331 14 0.000
[75,] 2.062095 2.376071 35.787 14 0.001
[76,] 3.635354 4.564741 96.717 14 0.000
[77,] 1.617951 1.558910 25.899 14 0.027
[78,] 2.205005 2.621743 31.196 14 0.005
[79,] 2.810551 3.520036 62.767 14 0.000
[80,] 2.655938 3.325013 122.053 14 0.000
[81,] 3.674358 4.610032 100.333 14 0.000
[82,] 1.940327 2.164771 48.816 14 0.000
[83,] 1.474924 1.271776 21.676 14 0.086
[84,] 1.764560 1.847860 80.822 14 0.000
[85,] 1.736012 1.793556 24.673 14 0.038
[86,] 1.836016 1.989611 43.115 14 0.000
[87,] 2.082458 2.426834 37.582 14 0.001
[88,] 2.465707 3.031428 52.298 14 0.000
[89,] 3.538766 4.482697 138.658 14 0.000
[90,] 2.721972 3.396181 47.094 14 0.000
[91,] 2.025412 2.318859 121.164 14 0.000
[92,] 2.506435 3.104433 87.771 14 0.000
[93,] 3.534468 4.446069 92.055 14 0.000
[94,] 2.620766 3.251338 70.118 14 0.000
[95,] 1.689750 1.700374 56.339 14 0.000
[96,] 2.025843 2.314055 49.838 14 0.000
[97,] 1.657110 1.636572 25.069 14 0.034
[98,] 2.785473 3.509532 107.717 14 0.000
[99,] 2.400354 2.942542 92.494 14 0.000
[100,] 2.064120 2.379514 43.130 14 0.000
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 5.116709 3.676194 76.751 14 0.000
[2,] 7.194532 4.169166 107.918 14 0.000
[3,] 5.735802 3.996835 86.037 14 0.000
[4,] 5.663040 3.543487 84.946 14 0.000
[5,] 7.180157 4.163728 107.702 14 0.000
[6,] 1.500628 0.789110 22.509 14 0.069
[7,] 4.172740 2.814377 62.591 14 0.000
[8,] 3.716396 2.840823 55.746 14 0.000
[9,] 4.704749 3.092056 70.571 14 0.000
[10,] 2.764553 2.143270 41.468 14 0.000
[11,] 4.568819 2.146924 68.532 14 0.000
[12,] 12.675310 3.221951 190.130 14 0.000
[13,] 3.681882 2.817760 55.228 14 0.000
[14,] 3.682595 2.818238 55.239 14 0.000
[15,] 5.993202 3.099786 89.898 14 0.000
[16,] 4.054146 3.059332 60.812 14 0.000
[17,] 2.584201 1.809980 38.763 14 0.000
[18,] 2.075480 1.401285 31.132 14 0.005
[19,] 3.549294 2.727793 53.239 14 0.000
[20,] 7.772822 3.665627 116.592 14 0.000
[21,] 3.116470 2.417500 46.747 14 0.000
[22,] 4.597631 3.386765 68.964 14 0.000
[23,] 3.087379 2.164317 46.311 14 0.000
[24,] 8.079595 3.754139 121.194 14 0.000
[25,] 2.902955 2.039256 43.544 14 0.000
[26,] 4.713483 3.096436 70.702 14 0.000
[27,] 4.182078 3.138923 62.731 14 0.000
[28,] 5.657027 2.980672 84.855 14 0.000
[29,] 2.832691 2.198112 42.490 14 0.000
[30,] 2.080053 1.534425 31.201 14 0.005
[31,] 7.263261 4.195064 108.949 14 0.000
[32,] 5.086201 3.278497 76.293 14 0.000
[33,] 6.711920 4.458463 100.679 14 0.000
[34,] 6.739998 3.993595 101.100 14 0.000
[35,] 1.847666 1.297422 27.715 14 0.016
[36,] 3.849362 2.928366 57.740 14 0.000
[37,] 2.322879 1.607500 34.843 14 0.002
[38,] 4.404063 3.273262 66.061 14 0.000
[39,] 5.975015 3.679355 89.625 14 0.000
[40,] 2.856302 2.006784 42.845 14 0.000
[41,] 3.034714 2.129123 45.521 14 0.000
[42,] 4.088833 3.081075 61.332 14 0.000
[43,] 2.633048 2.034826 39.496 14 0.000
[44,] 2.221221 1.669875 33.318 14 0.003
[45,] 5.413400 3.431126 81.201 14 0.000
[46,] 2.017066 1.197255 30.256 14 0.007
[47,] 2.935059 2.061399 44.026 14 0.000
[48,] 4.341376 2.071508 65.121 14 0.000
[49,] 3.190257 1.915069 47.854 14 0.000
[50,] 2.312561 1.399950 34.688 14 0.002
[51,] 4.607606 3.042976 69.114 14 0.000
[52,] 3.850377 2.929026 57.756 14 0.000
[53,] 7.072734 4.122862 106.091 14 0.000
[54,] 6.469158 3.261038 97.037 14 0.000
[55,] 2.390294 1.824747 35.854 14 0.001
[56,] 4.973014 3.598110 74.595 14 0.000
[57,] 9.912035 4.240965 148.681 14 0.000
[58,] 3.838069 2.921010 57.571 14 0.000
[59,] 1.434444 0.749333 21.517 14 0.089
[60,] 2.297082 1.231604 34.456 14 0.002
[61,] 2.918127 1.368038 43.772 14 0.000
[62,] 3.893908 2.659315 58.409 14 0.000
[63,] 6.124876 4.186680 91.873 14 0.000
[64,] 5.237734 3.740832 78.566 14 0.000
[65,] 4.916738 3.567120 73.751 14 0.000
[66,] 3.472556 2.674696 52.088 14 0.000
[67,] 5.164981 3.702096 77.475 14 0.000
[68,] 5.851331 4.054079 87.770 14 0.000
[69,] 4.126579 3.104598 61.899 14 0.000
[70,] 2.582799 1.808931 38.742 14 0.000
[71,] 3.971515 3.007030 59.573 14 0.000
[72,] 1.882803 1.334486 28.242 14 0.013
[73,] 4.864047 3.171098 72.961 14 0.000
[74,] 5.022039 3.247805 75.331 14 0.000
[75,] 2.385780 1.820709 35.787 14 0.001
[76,] 6.447768 4.338215 96.717 14 0.000
[77,] 1.726621 1.166020 25.899 14 0.027
[78,] 2.079742 1.404972 31.196 14 0.005
[79,] 4.184468 3.140395 62.767 14 0.000
[80,] 8.136846 3.770408 122.053 14 0.000
[81,] 6.688846 4.448086 100.333 14 0.000
[82,] 3.254375 2.519322 48.816 14 0.000
[83,] 1.445048 0.739863 21.676 14 0.086
[84,] 5.388156 2.399500 80.822 14 0.000
[85,] 1.644871 0.857258 24.673 14 0.038
[86,] 2.874338 1.742029 43.115 14 0.000
[87,] 2.505442 1.523089 37.582 14 0.001
[88,] 3.486554 2.418866 52.298 14 0.000
[89,] 9.243899 4.071018 138.658 14 0.000
[90,] 3.139606 2.434790 47.094 14 0.000
[91,] 8.077592 3.081684 121.164 14 0.000
[92,] 5.851414 3.050105 87.771 14 0.000
[93,] 6.137027 4.192477 92.055 14 0.000
[94,] 4.674550 3.430984 70.118 14 0.000
[95,] 3.755951 2.867081 56.339 14 0.000
[96,] 3.322545 2.568595 49.838 14 0.000
[97,] 1.671283 1.103897 25.069 14 0.034
[98,] 7.181152 3.488104 107.717 14 0.000
[99,] 6.166271 3.159377 92.494 14 0.000
[100,] 2.875345 2.231996 43.130 14 0.000
attr(,"class")
[1] "list" "PPfit"
Estimating: 2pl model ...
type = mle
Estimation finished!
Estimating: 2pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -6.694480
[2,] -8.302266
[3,] -7.321058
[4,] -6.767752
[5,] -7.580356
[6,] -1.625632
[7,] -5.841133
[8,] -4.667076
[9,] -5.911889
[10,] -2.452387
[11,] -5.634144
[12,] -4.867402
[13,] -4.204733
[14,] -4.479440
[15,] -6.401958
[16,] -5.272036
[17,] -4.127053
[18,] -2.542816
[19,] -4.659028
[20,] -4.638834
[21,] -3.806874
[22,] -7.057271
[23,] -2.506182
[24,] -8.261613
[25,] -3.229734
[26,] -5.859650
[27,] -5.912624
[28,] -5.039321
[29,] -3.898930
[30,] -3.140089
[31,] -9.048390
[32,] -6.544874
[33,] -8.625648
[34,] -7.643586
[35,] -1.700014
[36,] -5.012643
[37,] -2.787419
[38,] -7.068795
[39,] -8.434798
[40,] -2.174628
[41,] -2.822401
[42,] -5.252368
[43,] -1.671955
[44,] -2.841334
[45,] -6.339786
[46,] -3.415910
[47,] -2.641392
[48,] -3.581885
[49,] -1.559282
[50,] -3.282991
[51,] -4.818835
[52,] -4.323560
[53,] -8.334253
[54,] -6.491355
[55,] -3.985682
[56,] -5.277497
[57,] -9.310607
[58,] -4.911247
[59,] -0.962660
[60,] -3.005139
[61,] -3.917356
[62,] -4.274810
[63,] -7.645940
[64,] -6.776819
[65,] -6.529881
[66,] -4.488718
[67,] -8.011063
[68,] -7.287544
[69,] -5.480649
[70,] -3.121253
[71,] -4.785618
[72,] -2.650355
[73,] -5.236065
[74,] -5.169626
[75,] -2.725460
[76,] -9.013482
[77,] -1.499401
[78,] -3.087362
[79,] -5.919436
[80,] -7.364477
[81,] -8.609994
[82,] -4.038434
[83,] -1.225086
[84,] -2.928302
[85,] -1.880052
[86,] -2.108932
[87,] -4.187549
[88,] -3.386639
[89,] -8.776719
[90,] -4.553994
[91,] -4.474107
[92,] -5.352918
[93,] -8.590199
[94,] -5.883248
[95,] -3.857763
[96,] -4.319468
[97,] -1.403723
[98,] -7.282424
[99,] -5.932455
[100,] -3.789850
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.704730
[2,] -8.317975
[3,] -7.332826
[4,] -6.783762
[5,] -7.598223
[6,] -1.625050
[7,] -5.825070
[8,] -4.674865
[9,] -5.926125
[10,] -2.457089
[11,] -5.658011
[12,] -4.910143
[13,] -4.202728
[14,] -4.485888
[15,] -6.423285
[16,] -5.258670
[17,] -4.136572
[18,] -2.548118
[19,] -4.653356
[20,] -4.645367
[21,] -3.810923
[22,] -7.038704
[23,] -2.500696
[24,] -8.282669
[25,] -3.232680
[26,] -5.882032
[27,] -5.898309
[28,] -5.058493
[29,] -3.904131
[30,] -3.142028
[31,] -9.075784
[32,] -6.534999
[33,] -8.620000
[34,] -7.623491
[35,] -1.698703
[36,] -5.011286
[37,] -2.792852
[38,] -7.078802
[39,] -8.459043
[40,] -2.181576
[41,] -2.814867
[42,] -5.254631
[43,] -1.675456
[44,] -2.847721
[45,] -6.351511
[46,] -3.424846
[47,] -2.633999
[48,] -3.597991
[49,] -1.556169
[50,] -3.289128
[51,] -4.830636
[52,] -4.315487
[53,] -8.328915
[54,] -6.497824
[55,] -3.990136
[56,] -5.288470
[57,] -9.304001
[58,] -4.899753
[59,] -0.976182
[60,] -3.023338
[61,] -3.947473
[62,] -4.287885
[63,] -7.631502
[64,] -6.788470
[65,] -6.522195
[66,] -4.496095
[67,] -8.028957
[68,] -7.298950
[69,] -5.490673
[70,] -3.127343
[71,] -4.794557
[72,] -2.653424
[73,] -5.225754
[74,] -5.179147
[75,] -2.718556
[76,] -8.992220
[77,] -1.498451
[78,] -3.094027
[79,] -5.907323
[80,] -7.378689
[81,] -8.608723
[82,] -4.045880
[83,] -1.228466
[84,] -2.951472
[85,] -1.886607
[86,] -2.105276
[87,] -4.202536
[88,] -3.397495
[89,] -8.785114
[90,] -4.542132
[91,] -4.500597
[92,] -5.371621
[93,] -8.590457
[94,] -5.889452
[95,] -3.865022
[96,] -4.327447
[97,] -1.405085
[98,] -7.306358
[99,] -5.950398
[100,] -3.797200
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -6.694480
[2,] -8.302266
[3,] -7.321058
[4,] -6.767752
[5,] -7.580356
[6,] -1.625632
[7,] -5.841133
[8,] -4.667076
[9,] -5.911889
[10,] -2.452387
[11,] -5.634144
[12,] -4.867402
[13,] -4.204733
[14,] -4.479440
[15,] -6.401958
[16,] -5.272036
[17,] -4.127053
[18,] -2.542816
[19,] -4.659028
[20,] -4.638834
[21,] -3.806874
[22,] -7.057271
[23,] -2.506182
[24,] -8.261613
[25,] -3.229734
[26,] -5.859650
[27,] -5.912624
[28,] -5.039321
[29,] -3.898930
[30,] -3.140089
[31,] -9.048390
[32,] -6.544874
[33,] -8.625648
[34,] -7.643586
[35,] -1.700014
[36,] -5.012643
[37,] -2.787419
[38,] -7.068795
[39,] -8.434798
[40,] -2.174628
[41,] -2.822401
[42,] -5.252368
[43,] -1.671955
[44,] -2.841334
[45,] -6.339786
[46,] -3.415910
[47,] -2.641392
[48,] -3.581885
[49,] -1.559282
[50,] -3.282991
[51,] -4.818835
[52,] -4.323560
[53,] -8.334253
[54,] -6.491355
[55,] -3.985682
[56,] -5.277497
[57,] -9.310607
[58,] -4.911247
[59,] -0.962660
[60,] -3.005139
[61,] -3.917356
[62,] -4.274810
[63,] -7.645940
[64,] -6.776819
[65,] -6.529881
[66,] -4.488718
[67,] -8.011063
[68,] -7.287544
[69,] -5.480649
[70,] -3.121253
[71,] -4.785618
[72,] -2.650355
[73,] -5.236065
[74,] -5.169626
[75,] -2.725460
[76,] -9.013482
[77,] -1.499401
[78,] -3.087362
[79,] -5.919436
[80,] -7.364477
[81,] -8.609994
[82,] -4.038434
[83,] -1.225086
[84,] -2.928302
[85,] -1.880052
[86,] -2.108932
[87,] -4.187549
[88,] -3.386639
[89,] -8.776719
[90,] -4.553994
[91,] -4.474107
[92,] -5.352918
[93,] -8.590199
[94,] -5.883248
[95,] -3.857763
[96,] -4.319468
[97,] -1.403723
[98,] -7.282424
[99,] -5.932455
[100,] -3.789850
$infit
infit in_t in_chisq in_df in_pv
[1,] 3.100889 3.935054 95.931 14 0.000
[2,] 3.578914 4.686556 144.953 14 0.000
[3,] 3.107584 3.956624 138.461 14 0.000
[4,] 2.721101 3.813706 200.994 14 0.000
[5,] 2.974990 4.205015 206.183 14 0.000
[6,] 1.702475 1.804176 20.040 14 0.129
[7,] 2.712474 3.443837 100.841 14 0.000
[8,] 2.409759 2.979990 97.001 14 0.000
[9,] 2.399321 3.285960 191.640 14 0.000
[10,] 1.830757 2.091250 35.859 14 0.001
[11,] 2.345638 3.199524 117.358 14 0.000
[12,] 1.655070 1.705858 1406.634 14 0.000
[13,] 2.242000 2.636297 80.326 14 0.000
[14,] 2.285062 2.753839 93.767 14 0.000
[15,] 2.826471 4.086133 85.718 14 0.000
[16,] 2.649347 3.392497 92.159 14 0.000
[17,] 2.417684 3.299328 45.635 14 0.000
[18,] 1.748461 1.983192 42.463 14 0.000
[19,] 2.329326 2.778176 86.155 14 0.000
[20,] 1.973824 2.312117 200.506 14 0.000
[21,] 2.245410 2.667427 65.817 14 0.000
[22,] 3.171260 4.106581 111.470 14 0.000
[23,] 1.751232 1.809581 54.886 14 0.000
[24,] 3.202698 4.160538 246.314 14 0.000
[25,] 2.092059 2.532822 37.621 14 0.001
[26,] 2.600103 3.684343 95.327 14 0.000
[27,] 2.803112 3.513383 95.697 14 0.000
[28,] 2.282439 3.126548 91.919 14 0.000
[29,] 2.205211 2.617685 66.925 14 0.000
[30,] 2.099960 2.416913 46.793 14 0.000
[31,] 3.308868 4.808140 278.679 14 0.000
[32,] 2.780526 3.637311 168.761 14 0.000
[33,] 3.668829 4.538070 147.995 14 0.000
[34,] 3.183725 4.046400 164.869 14 0.000
[35,] 1.456207 1.209159 45.416 14 0.000
[36,] 2.758319 3.398408 68.156 14 0.000
[37,] 1.905439 2.251092 39.908 14 0.000
[38,] 3.331252 4.210789 97.078 14 0.000
[39,] 3.444841 4.985820 109.945 14 0.000
[40,] 1.730285 2.033352 26.571 14 0.022
[41,] 1.850089 2.054463 69.100 14 0.000
[42,] 2.662697 3.272873 89.100 14 0.000
[43,] 1.470876 1.370967 33.350 14 0.003
[44,] 1.886779 2.299356 40.295 14 0.000
[45,] 2.859562 3.705477 123.053 14 0.000
[46,] 2.360038 2.940819 30.295 14 0.007
[47,] 1.927302 2.162884 37.719 14 0.001
[48,] 2.088830 2.426145 54.454 14 0.000
[49,] 1.560872 1.497118 24.518 14 0.040
[50,] 2.109446 2.544348 37.886 14 0.001
[51,] 2.440098 3.365536 66.265 14 0.000
[52,] 2.423788 2.935966 67.926 14 0.000
[53,] 3.034923 4.012588 252.596 14 0.000
[54,] 2.669824 3.469605 203.863 14 0.000
[55,] 2.389128 2.895036 52.001 14 0.000
[56,] 2.403410 3.202791 151.670 14 0.000
[57,] 3.392017 4.488142 259.504 14 0.000
[58,] 2.484929 3.157400 92.396 14 0.000
[59,] 1.307653 0.892921 15.300 14 0.358
[60,] 1.649446 1.741063 80.869 14 0.000
[61,] 1.887030 2.186668 110.007 14 0.000
[62,] 2.290333 3.160647 50.120 14 0.000
[63,] 3.288014 4.117912 149.608 14 0.000
[64,] 2.847421 3.632029 139.463 14 0.000
[65,] 3.031309 3.770421 117.785 14 0.000
[66,] 2.631218 3.310122 51.014 14 0.000
[67,] 3.450125 4.840854 96.615 14 0.000
[68,] 3.360091 4.269773 98.335 14 0.000
[69,] 2.922586 3.784289 66.286 14 0.000
[70,] 1.956346 2.346567 46.769 14 0.000
[71,] 2.176266 2.664809 126.656 14 0.000
[72,] 2.049215 2.350332 30.008 14 0.008
[73,] 2.398904 3.038741 147.761 14 0.000
[74,] 2.437949 3.076563 115.059 14 0.000
[75,] 1.976304 2.230316 35.013 14 0.001
[76,] 3.506577 4.567411 208.795 14 0.000
[77,] 1.636487 1.575114 21.357 14 0.093
[78,] 2.073690 2.646110 35.374 14 0.001
[79,] 2.922293 3.653509 89.791 14 0.000
[80,] 3.119125 4.153171 146.098 14 0.000
[81,] 3.710207 4.584462 144.737 14 0.000
[82,] 2.129814 2.575898 101.418 14 0.000
[83,] 1.405981 1.139436 23.885 14 0.047
[84,] 1.753793 1.739820 59.461 14 0.000
[85,] 1.719161 1.783528 23.232 14 0.057
[86,] 1.739416 1.869544 30.125 14 0.007
[87,] 2.135456 2.864405 70.358 14 0.000
[88,] 2.215086 3.024437 31.610 14 0.005
[89,] 3.356834 4.423778 229.381 14 0.000
[90,] 2.812644 3.541112 40.842 14 0.000
[91,] 1.936186 2.331690 156.221 14 0.000
[92,] 2.446015 3.442040 85.105 14 0.000
[93,] 3.687534 4.560405 144.726 14 0.000
[94,] 2.758386 3.429267 113.156 14 0.000
[95,] 1.760243 1.914117 125.850 14 0.000
[96,] 2.213182 2.718109 105.029 14 0.000
[97,] 1.627344 1.573883 19.713 14 0.139
[98,] 2.726746 3.924235 300.179 14 0.000
[99,] 2.445172 3.437212 242.449 14 0.000
[100,] 2.076323 2.555599 60.985 14 0.000
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 6.395414 3.538148 95.931 14 0.000
[2,] 9.663553 4.381902 144.953 14 0.000
[3,] 9.230740 4.447073 138.461 14 0.000
[4,] 13.399583 4.431280 200.994 14 0.000
[5,] 13.745506 4.502645 206.183 14 0.000
[6,] 1.336020 0.643349 20.040 14 0.129
[7,] 6.722732 3.258031 100.841 14 0.000
[8,] 6.466710 3.533109 97.001 14 0.000
[9,] 12.775994 4.277754 191.640 14 0.000
[10,] 2.390581 1.455227 35.859 14 0.001
[11,] 7.823883 2.338565 117.358 14 0.000
[12,] 93.775631 4.580460 1406.634 14 0.000
[13,] 5.355053 3.126929 80.326 14 0.000
[14,] 6.251110 3.492413 93.767 14 0.000
[15,] 5.714518 2.278808 85.718 14 0.000
[16,] 6.143941 2.954012 92.159 14 0.000
[17,] 3.042342 1.684554 45.635 14 0.000
[18,] 2.830864 1.638818 42.463 14 0.000
[19,] 5.743672 3.236064 86.155 14 0.000
[20,] 13.367036 3.818119 200.506 14 0.000
[21,] 4.387809 2.722333 65.817 14 0.000
[22,] 7.431312 3.378576 111.470 14 0.000
[23,] 3.659098 2.240862 54.886 14 0.000
[24,] 16.420936 4.060346 246.314 14 0.000
[25,] 2.508095 1.306497 37.621 14 0.001
[26,] 6.355162 2.228907 95.327 14 0.000
[27,] 6.379818 3.314319 95.697 14 0.000
[28,] 6.127965 2.183329 91.919 14 0.000
[29,] 4.461691 2.747219 66.925 14 0.000
[30,] 3.119546 2.044000 46.793 14 0.000
[31,] 18.578568 4.597516 278.679 14 0.000
[32,] 11.250745 3.957405 168.761 14 0.000
[33,] 9.866319 4.616544 147.995 14 0.000
[34,] 10.991286 4.524575 164.869 14 0.000
[35,] 3.027704 1.967124 45.416 14 0.000
[36,] 4.543752 2.777797 68.156 14 0.000
[37,] 2.660541 1.607380 39.908 14 0.000
[38,] 6.471887 3.580216 97.078 14 0.000
[39,] 7.329682 2.870082 109.945 14 0.000
[40,] 1.771386 0.919525 26.571 14 0.022
[41,] 4.606680 2.444746 69.100 14 0.000
[42,] 5.940020 3.395446 89.100 14 0.000
[43,] 2.223359 1.280158 33.350 14 0.003
[44,] 2.686359 1.516811 40.295 14 0.000
[45,] 8.203523 4.019184 123.053 14 0.000
[46,] 2.019686 1.045934 30.295 14 0.007
[47,] 2.514577 1.525584 37.719 14 0.001
[48,] 3.630280 1.623917 54.454 14 0.000
[49,] 1.634528 0.867388 24.518 14 0.040
[50,] 2.525703 1.291283 37.886 14 0.001
[51,] 4.417649 2.208139 66.265 14 0.000
[52,] 4.528387 2.674937 67.926 14 0.000
[53,] 16.839754 4.683328 252.596 14 0.000
[54,] 13.590834 3.913290 203.863 14 0.000
[55,] 3.466765 2.243210 52.001 14 0.000
[56,] 10.111320 4.074663 151.670 14 0.000
[57,] 17.300284 4.763103 259.504 14 0.000
[58,] 6.159749 2.908749 92.396 14 0.000
[59,] 1.019997 1.354647 15.300 14 0.358
[60,] 5.391235 1.747691 80.869 14 0.000
[61,] 7.333825 1.946461 110.007 14 0.000
[62,] 3.341320 1.640604 50.120 14 0.000
[63,] 9.973862 4.488736 149.608 14 0.000
[64,] 9.297552 4.428928 139.463 14 0.000
[65,] 7.852361 3.974888 117.785 14 0.000
[66,] 3.400955 2.175643 51.014 14 0.000
[67,] 6.441006 2.982265 96.615 14 0.000
[68,] 6.555684 3.592389 98.335 14 0.000
[69,] 4.419062 2.643059 66.286 14 0.000
[70,] 3.117963 1.866594 46.769 14 0.000
[71,] 8.443760 4.052889 126.656 14 0.000
[72,] 2.000512 1.262672 30.008 14 0.008
[73,] 9.850755 3.772818 147.761 14 0.000
[74,] 7.670574 3.854586 115.059 14 0.000
[75,] 2.334184 1.440338 35.013 14 0.001
[76,] 13.919670 4.700900 208.795 14 0.000
[77,] 1.423830 0.739875 21.357 14 0.093
[78,] 2.358259 1.356054 35.374 14 0.001
[79,] 5.986097 3.239228 89.791 14 0.000
[80,] 9.739877 4.299828 146.098 14 0.000
[81,] 9.649125 4.595259 144.737 14 0.000
[82,] 6.761229 3.541601 101.418 14 0.000
[83,] 1.592302 0.820082 23.885 14 0.047
[84,] 3.964051 1.637398 59.461 14 0.000
[85,] 1.548816 0.797580 23.232 14 0.057
[86,] 2.008351 1.111200 30.125 14 0.007
[87,] 4.690548 1.923415 70.358 14 0.000
[88,] 2.107332 1.093840 31.610 14 0.005
[89,] 15.292039 4.162971 229.381 14 0.000
[90,] 2.722784 1.671459 40.842 14 0.000
[91,] 10.414710 2.328449 156.221 14 0.000
[92,] 5.673692 2.202153 85.105 14 0.000
[93,] 9.648414 4.605761 144.726 14 0.000
[94,] 7.543763 3.977248 113.156 14 0.000
[95,] 8.389978 3.996209 125.850 14 0.000
[96,] 7.001954 3.622986 105.029 14 0.000
[97,] 1.314231 0.627225 19.713 14 0.139
[98,] 20.011956 4.510396 300.179 14 0.000
[99,] 16.163234 4.279509 242.449 14 0.000
[100,] 4.065680 2.350922 60.985 14 0.000
attr(,"class")
[1] "list" "PPfit"
Estimating: 3pl model ...
type = mle
Estimation finished!
Estimating: 3pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -3.969939
[2,] -2.710772
[3,] -3.403079
[4,] -1.947892
[5,] -2.379175
[6,] -1.040059
[7,] -2.973478
[8,] -1.794842
[9,] -1.535915
[10,] -0.753633
[11,] -0.767913
[12,] -0.299641
[13,] -1.800399
[14,] -1.428317
[15,] -1.663253
[16,] -2.529844
[17,] -2.531950
[18,] 0.454910
[19,] -2.312338
[20,] -4.359370
[21,] -1.547177
[22,] -2.807385
[23,] -2.103424
[24,] -4.391930
[25,] -1.510120
[26,] -2.939284
[27,] -2.893097
[28,] -1.612673
[29,] -1.567960
[30,] -1.343945
[31,] -3.025810
[32,] -2.498475
[33,] -4.170075
[34,] -3.796244
[35,] -0.123807
[36,] -2.027379
[37,] -0.006266
[38,] -3.331047
[39,] -3.711077
[40,] -1.217285
[41,] -2.202887
[42,] -2.325141
[43,] -1.041472
[44,] -1.060547
[45,] -1.262992
[46,] -1.294897
[47,] -1.332112
[48,] -2.355888
[49,] -1.524871
[50,] -1.519095
[51,] -2.181995
[52,] -2.961278
[53,] -4.450147
[54,] -2.878280
[55,] -2.192338
[56,] -2.152492
[57,] -4.795048
[58,] -2.491980
[59,] 0.116957
[60,] -0.082813
[61,] -0.143852
[62,] -1.578027
[63,] -3.806027
[64,] -3.305292
[65,] -1.994223
[66,] -2.300794
[67,] -4.016276
[68,] -4.686823
[69,] -2.735697
[70,] -0.081064
[71,] -0.975719
[72,] -0.731421
[73,] -2.141869
[74,] -1.741693
[75,] -1.787338
[76,] -4.648152
[77,] -0.537927
[78,] -1.782607
[79,] -2.577126
[80,] -1.419796
[81,] -3.945282
[82,] -0.127039
[83,] -0.872370
[84,] -2.472444
[85,] -1.014571
[86,] -1.684729
[87,] -1.663082
[88,] -2.116375
[89,] -5.135845
[90,] -2.076462
[91,] -0.630255
[92,] -2.181298
[93,] -3.951022
[94,] -1.926048
[95,] -1.610804
[96,] -0.605913
[97,] -0.760801
[98,] -1.775571
[99,] -1.166083
[100,] -2.125673
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -4.045799
[2,] -2.735944
[3,] -3.404771
[4,] -1.956603
[5,] -2.436632
[6,] -1.049618
[7,] -2.972233
[8,] -1.794241
[9,] -1.537933
[10,] -0.753533
[11,] NaN
[12,] -0.297760
[13,] -1.799527
[14,] -1.427813
[15,] -1.645026
[16,] -2.528812
[17,] -2.535219
[18,] 0.455272
[19,] -2.312453
[20,] -4.414079
[21,] -1.546350
[22,] -2.807205
[23,] -2.109986
[24,] -4.403379
[25,] -1.539077
[26,] -2.941362
[27,] -2.892006
[28,] -1.667899
[29,] -1.569526
[30,] -1.343105
[31,] -3.079483
[32,] -2.497747
[33,] -4.213048
[34,] -3.797179
[35,] -0.119859
[36,] -2.026444
[37,] -0.006113
[38,] -3.366567
[39,] -3.874663
[40,] -1.216589
[41,] -2.231090
[42,] -2.324738
[43,] -1.042440
[44,] -1.060076
[45,] -1.262842
[46,] -1.314203
[47,] -1.328549
[48,] -2.381864
[49,] -1.526041
[50,] -1.544907
[51,] -2.215588
[52,] -2.960656
[53,] -4.468783
[54,] -2.876549
[55,] -2.191718
[56,] -2.151813
[57,] -4.801915
[58,] -2.490518
[59,] 0.123379
[60,] -0.094098
[61,] 0.006358
[62,] -1.585542
[63,] -3.809400
[64,] -3.304515
[65,] -1.997225
[66,] -2.300165
[67,] -4.032731
[68,] -4.687501
[69,] -2.736534
[70,] -0.080846
[71,] -0.975386
[72,] -0.731070
[73,] -2.139519
[74,] -1.742312
[75,] -1.798390
[76,] -4.690934
[77,] -0.540412
[78,] -1.782023
[79,] -2.576243
[80,] -1.382740
[81,] -4.114416
[82,] -0.126888
[83,] -0.881708
[84,] -2.494611
[85,] -1.017422
[86,] -1.696460
[87,] -1.674352
[88,] -2.118331
[89,] -5.133625
[90,] -2.075577
[91,] -0.616614
[92,] -2.355168
[93,] -3.973588
[94,] -1.926370
[95,] -1.609944
[96,] -0.605748
[97,] -0.762234
[98,] -1.852672
[99,] -1.165930
[100,] -2.124572
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.969939
[2,] -2.710772
[3,] -3.403079
[4,] -1.947892
[5,] -2.379175
[6,] -1.040059
[7,] -2.973478
[8,] -1.794842
[9,] -1.535915
[10,] -0.753633
[11,] -0.767913
[12,] -0.299641
[13,] -1.800399
[14,] -1.428317
[15,] -1.663253
[16,] -2.529844
[17,] -2.531950
[18,] 0.454910
[19,] -2.312338
[20,] -4.359370
[21,] -1.547177
[22,] -2.807385
[23,] -2.103424
[24,] -4.391930
[25,] -1.510120
[26,] -2.939284
[27,] -2.893097
[28,] -1.612673
[29,] -1.567960
[30,] -1.343945
[31,] -3.025810
[32,] -2.498475
[33,] -4.170075
[34,] -3.796244
[35,] -0.123807
[36,] -2.027379
[37,] -0.006266
[38,] -3.331047
[39,] -3.711077
[40,] -1.217285
[41,] -2.202887
[42,] -2.325141
[43,] -1.041472
[44,] -1.060547
[45,] -1.262992
[46,] -1.294897
[47,] -1.332112
[48,] -2.355888
[49,] -1.524871
[50,] -1.519095
[51,] -2.181995
[52,] -2.961278
[53,] -4.450147
[54,] -2.878280
[55,] -2.192338
[56,] -2.152492
[57,] -4.795048
[58,] -2.491980
[59,] 0.116957
[60,] -0.082813
[61,] -0.143852
[62,] -1.578027
[63,] -3.806027
[64,] -3.305292
[65,] -1.994223
[66,] -2.300794
[67,] -4.016276
[68,] -4.686823
[69,] -2.735697
[70,] -0.081064
[71,] -0.975719
[72,] -0.731421
[73,] -2.141869
[74,] -1.741693
[75,] -1.787338
[76,] -4.648152
[77,] -0.537927
[78,] -1.782607
[79,] -2.577126
[80,] -1.419796
[81,] -3.945282
[82,] -0.127039
[83,] -0.872370
[84,] -2.472444
[85,] -1.014571
[86,] -1.684729
[87,] -1.663082
[88,] -2.116375
[89,] -5.135845
[90,] -2.076462
[91,] -0.630255
[92,] -2.181298
[93,] -3.951022
[94,] -1.926048
[95,] -1.610804
[96,] -0.605913
[97,] -0.760801
[98,] -1.775571
[99,] -1.166083
[100,] -2.125673
$infit
infit in_t in_chisq in_df in_pv
[1,] 2.020654 2.895962 34.694 14 0.002
[2,] 1.641246 1.916335 30.928 14 0.006
[3,] 1.896030 2.748757 30.570 14 0.006
[4,] 1.500488 1.668918 24.470 14 0.040
[5,] 1.574857 1.793655 28.059 14 0.014
[6,] 1.337052 1.172253 16.490 14 0.284
[7,] 1.785671 2.558296 27.712 14 0.016
[8,] 1.483862 1.700250 22.424 14 0.070
[9,] 1.410802 1.425905 21.916 14 0.080
[10,] 1.196803 0.806177 18.092 14 0.203
[11,] 1.157454 0.545158 15.648 14 0.335
[12,] 0.979244 0.031908 19.802 14 0.137
[13,] 1.461120 1.654334 23.263 14 0.056
[14,] 1.370243 1.359899 21.384 14 0.092
[15,] 1.418949 1.323047 22.179 14 0.075
[16,] 1.645773 2.193654 26.604 14 0.022
[17,] 1.662683 2.163072 26.570 14 0.022
[18,] 0.882086 -0.373581 12.827 14 0.540
[19,] 1.582828 2.022519 26.016 14 0.026
[20,] 1.829703 2.461312 78.400 14 0.000
[21,] 1.388023 1.418533 22.487 14 0.069
[22,] 1.762229 2.427800 26.817 14 0.020
[23,] 1.418085 1.466337 33.797 14 0.002
[24,] 2.143098 3.326219 35.436 14 0.001
[25,] 1.413003 1.463104 19.756 14 0.138
[26,] 1.724361 2.295466 30.584 14 0.006
[27,] 1.771364 2.497557 27.253 14 0.018
[28,] 1.391064 1.229288 22.130 14 0.076
[29,] 1.415700 1.475370 21.851 14 0.082
[30,] 1.351325 1.298279 20.922 14 0.104
[31,] 1.711368 1.934311 32.276 14 0.004
[32,] 1.661131 2.187633 25.884 14 0.027
[33,] 2.056655 2.917727 36.697 14 0.001
[34,] 1.999070 3.008362 32.204 14 0.004
[35,] 1.054542 0.291462 13.923 14 0.455
[36,] 1.547608 1.893249 23.320 14 0.055
[37,] 1.016852 0.151588 14.497 14 0.413
[38,] 1.888053 2.600698 30.223 14 0.007
[39,] 1.902885 2.264427 35.468 14 0.001
[40,] 1.302202 1.143101 21.046 14 0.100
[41,] 1.461316 1.606249 32.556 14 0.003
[42,] 1.627092 2.090377 24.746 14 0.037
[43,] 1.184931 0.767041 24.266 14 0.043
[44,] 1.273254 1.049081 19.915 14 0.133
[45,] 1.368487 1.289595 19.157 14 0.159
[46,] 1.365992 1.312375 18.427 14 0.188
[47,] 1.359860 1.287639 19.177 14 0.158
[48,] 1.641882 1.998495 24.764 14 0.037
[49,] 1.383999 1.301769 22.076 14 0.077
[50,] 1.437669 1.501620 19.039 14 0.163
[51,] 1.567951 1.847964 25.071 14 0.034
[52,] 1.741700 2.462289 29.087 14 0.010
[53,] 2.164405 3.337318 35.873 14 0.001
[54,] 1.737938 2.426669 28.241 14 0.013
[55,] 1.580218 1.964670 24.522 14 0.040
[56,] 1.552791 1.889991 25.063 14 0.034
[57,] 2.270201 3.589358 36.774 14 0.001
[58,] 1.640777 2.178509 26.265 14 0.024
[59,] 0.926861 -0.172163 15.694 14 0.332
[60,] 0.955483 -0.057637 17.143 14 0.249
[61,] 0.912000 -0.113494 11.744 14 0.627
[62,] 1.424136 1.469676 21.906 14 0.081
[63,] 2.014818 3.024757 32.114 14 0.004
[64,] 1.869939 2.723776 29.638 14 0.009
[65,] 1.530288 1.785883 23.922 14 0.047
[66,] 1.593046 1.998369 25.699 14 0.028
[67,] 1.970085 2.811038 37.628 14 0.001
[68,] 2.226391 3.529898 36.541 14 0.001
[69,] 1.708655 2.280728 27.884 14 0.015
[70,] 1.033463 0.213175 14.929 14 0.383
[71,] 1.246731 0.955924 19.610 14 0.143
[72,] 1.209615 0.844468 17.462 14 0.232
[73,] 1.543412 1.895263 25.249 14 0.032
[74,] 1.466993 1.621949 22.489 14 0.069
[75,] 1.482714 1.707229 21.214 14 0.096
[76,] 2.223601 3.312206 37.098 14 0.001
[77,] 1.157210 0.660274 15.899 14 0.320
[78,] 1.493727 1.720022 22.019 14 0.078
[79,] 1.688130 2.269914 25.923 14 0.026
[80,] 1.381447 1.186833 19.323 14 0.153
[81,] 2.054267 2.583210 31.953 14 0.004
[82,] 1.043721 0.251451 15.175 14 0.366
[83,] 1.230947 0.831177 18.265 14 0.195
[84,] 1.480867 1.477328 39.173 14 0.000
[85,] 1.320304 1.108626 16.794 14 0.267
[86,] 1.455662 1.518628 21.147 14 0.098
[87,] 1.409827 1.397652 23.738 14 0.049
[88,] 1.548490 1.858030 24.938 14 0.035
[89,] 2.345267 3.854728 37.796 14 0.001
[90,] 1.544281 1.881845 24.067 14 0.045
[91,] 1.139699 0.548035 17.600 14 0.226
[92,] 1.553950 1.594924 24.246 14 0.043
[93,] 2.019506 2.923568 34.348 14 0.002
[94,] 1.505934 1.736970 23.758 14 0.049
[95,] 1.355241 1.327014 24.971 14 0.035
[96,] 1.174843 0.711513 17.100 14 0.251
[97,] 1.228909 0.907457 16.537 14 0.282
[98,] 1.409383 1.295994 24.919 14 0.035
[99,] 1.288505 1.033796 20.952 14 0.103
[100,] 1.550597 1.888450 24.663 14 0.038
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 2.312900 2.792211 34.694 14 0.002
[2,] 2.061889 2.217917 30.928 14 0.006
[3,] 2.038013 2.704168 30.570 14 0.006
[4,] 1.631318 1.677249 24.470 14 0.040
[5,] 1.870632 1.975892 28.059 14 0.014
[6,] 1.099341 0.375028 16.490 14 0.284
[7,] 1.847487 2.310633 27.712 14 0.016
[8,] 1.494962 1.538482 22.424 14 0.070
[9,] 1.461039 1.330614 21.916 14 0.080
[10,] 1.206116 0.708193 18.092 14 0.203
[11,] 1.043208 0.249345 15.648 14 0.335
[12,] 1.320111 0.854554 19.802 14 0.137
[13,] 1.550877 1.605384 23.263 14 0.056
[14,] 1.425588 1.353419 21.384 14 0.092
[15,] 1.478612 1.164232 22.179 14 0.075
[16,] 1.773592 2.078448 26.604 14 0.022
[17,] 1.771305 2.168084 26.570 14 0.022
[18,] 0.855104 -0.407245 12.827 14 0.540
[19,] 1.734408 1.921623 26.016 14 0.026
[20,] 5.226651 3.299533 78.400 14 0.000
[21,] 1.499140 1.533701 22.487 14 0.069
[22,] 1.787811 2.217317 26.817 14 0.020
[23,] 2.253112 2.051487 33.797 14 0.002
[24,] 2.362393 3.326918 35.436 14 0.001
[25,] 1.317079 0.767966 19.756 14 0.138
[26,] 2.038923 2.607108 30.584 14 0.006
[27,] 1.816875 2.306478 27.253 14 0.018
[28,] 1.475302 1.134912 22.130 14 0.076
[29,] 1.456735 1.434582 21.851 14 0.082
[30,] 1.394808 1.276609 20.922 14 0.104
[31,] 2.151762 2.140783 32.276 14 0.004
[32,] 1.725593 2.111989 25.884 14 0.027
[33,] 2.446445 2.894659 36.697 14 0.001
[34,] 2.146937 2.964854 32.204 14 0.004
[35,] 0.928208 -0.020861 13.923 14 0.455
[36,] 1.554674 1.673373 23.320 14 0.055
[37,] 0.966456 -0.013807 14.497 14 0.413
[38,] 2.014862 2.307887 30.223 14 0.007
[39,] 2.364524 2.336838 35.468 14 0.001
[40,] 1.403050 1.297860 21.046 14 0.100
[41,] 2.170417 2.033843 32.556 14 0.003
[42,] 1.649711 1.930861 24.746 14 0.037
[43,] 1.617718 1.568613 24.266 14 0.043
[44,] 1.327645 1.093855 19.915 14 0.133
[45,] 1.277131 0.859141 19.157 14 0.159
[46,] 1.228455 0.597094 18.427 14 0.188
[47,] 1.278493 0.674936 19.177 14 0.158
[48,] 1.650958 0.984897 24.764 14 0.037
[49,] 1.471751 0.784879 22.076 14 0.077
[50,] 1.269240 0.639717 19.039 14 0.163
[51,] 1.671426 1.748872 25.071 14 0.034
[52,] 1.939161 2.364217 29.087 14 0.010
[53,] 2.391561 3.241556 35.873 14 0.001
[54,] 1.882714 2.406267 28.241 14 0.013
[55,] 1.634769 1.895767 24.522 14 0.040
[56,] 1.670838 1.982100 25.063 14 0.034
[57,] 2.451606 3.426163 36.774 14 0.001
[58,] 1.750994 2.038403 26.265 14 0.024
[59,] 1.046243 0.246537 15.694 14 0.332
[60,] 1.142850 0.484386 17.143 14 0.249
[61,] 0.782932 -0.255852 11.744 14 0.627
[62,] 1.460432 1.344252 21.906 14 0.081
[63,] 2.140926 2.881162 32.114 14 0.004
[64,] 1.975848 2.668895 29.638 14 0.009
[65,] 1.594804 1.707652 23.922 14 0.047
[66,] 1.713269 2.082801 25.699 14 0.028
[67,] 2.508535 3.158921 37.628 14 0.001
[68,] 2.436038 3.524734 36.541 14 0.001
[69,] 1.858915 2.347602 27.884 14 0.015
[70,] 0.995280 0.084015 14.929 14 0.383
[71,] 1.307356 1.042125 19.610 14 0.143
[72,] 1.164151 0.610960 17.462 14 0.232
[73,] 1.683292 1.925185 25.249 14 0.032
[74,] 1.499263 1.532228 22.489 14 0.069
[75,] 1.414282 1.031465 21.214 14 0.096
[76,] 2.473219 3.007666 37.098 14 0.001
[77,] 1.059930 0.279939 15.899 14 0.320
[78,] 1.467951 1.476506 22.019 14 0.078
[79,] 1.728230 2.113080 25.923 14 0.026
[80,] 1.288177 0.761776 19.323 14 0.153
[81,] 2.130168 2.064894 31.953 14 0.004
[82,] 1.011673 0.138201 15.175 14 0.366
[83,] 1.217669 0.536179 18.265 14 0.195
[84,] 2.611564 1.383051 39.173 14 0.000
[85,] 1.119624 0.426020 16.794 14 0.267
[86,] 1.409793 0.775017 21.147 14 0.098
[87,] 1.582510 1.530448 23.738 14 0.049
[88,] 1.662501 1.939793 24.938 14 0.035
[89,] 2.519753 3.722806 37.796 14 0.001
[90,] 1.604494 1.799475 24.067 14 0.045
[91,] 1.173350 0.547441 17.600 14 0.226
[92,] 1.616379 1.348341 24.246 14 0.043
[93,] 2.289836 2.816408 34.348 14 0.002
[94,] 1.583883 1.749611 23.758 14 0.049
[95,] 1.664762 1.870884 24.971 14 0.035
[96,] 1.140004 0.546132 17.100 14 0.251
[97,] 1.102438 0.377636 16.537 14 0.282
[98,] 1.661293 1.494405 24.919 14 0.035
[99,] 1.396802 1.106934 20.952 14 0.103
[100,] 1.644182 1.914894 24.663 14 0.038
attr(,"class")
[1] "list" "PPfit"
Estimating: 4pl model ...
type = mle
Estimation finished!
Estimating: 4pl model ...
type = wle
Estimation finished!
$lzstar
lzstar
[1,] -3.737824
[2,] -2.816291
[3,] -3.243171
[4,] -2.096501
[5,] -2.564774
[6,] -0.673569
[7,] -2.544653
[8,] -1.477405
[9,] -1.470265
[10,] -0.777959
[11,] -0.917715
[12,] -0.381945
[13,] -1.176047
[14,] -1.106533
[15,] -1.584658
[16,] -1.915156
[17,] -2.630140
[18,] 0.497363
[19,] -1.465959
[20,] -2.952026
[21,] -1.829582
[22,] -2.480497
[23,] -0.923701
[24,] -4.621587
[25,] -1.334454
[26,] -2.792790
[27,] -2.454056
[28,] -1.617774
[29,] -1.553276
[30,] -0.965062
[31,] -3.070192
[32,] -2.558858
[33,] -4.107884
[34,] -3.789054
[35,] 0.011436
[36,] -2.052186
[37,] 0.055447
[38,] -3.404522
[39,] -3.736122
[40,] -0.617214
[41,] -0.880919
[42,] -2.101667
[43,] -0.987165
[44,] -1.156376
[45,] -1.044257
[46,] -1.058436
[47,] -1.156802
[48,] -2.064625
[49,] -1.120503
[50,] -1.388513
[51,] -2.284580
[52,] -2.017491
[53,] -4.803945
[54,] -3.214097
[55,] -1.726862
[56,] -2.377039
[57,] -4.761327
[58,] -1.983717
[59,] 0.259010
[60,] -0.251341
[61,] -0.114005
[62,] -1.706363
[63,] -3.766629
[64,] -3.107501
[65,] -2.109081
[66,] -2.075601
[67,] -4.010560
[68,] -4.580847
[69,] -2.986081
[70,] -0.027282
[71,] -1.138128
[72,] -0.656058
[73,] -2.113418
[74,] -1.428210
[75,] -1.405381
[76,] -4.487552
[77,] -0.345483
[78,] -1.199770
[79,] -2.397962
[80,] -1.291019
[81,] -3.983587
[82,] -0.137060
[83,] -0.212167
[84,] -1.097714
[85,] -0.535060
[86,] -1.410041
[87,] -1.427171
[88,] -1.752695
[89,] -5.371338
[90,] -2.181894
[91,] -0.501101
[92,] -2.169422
[93,] -3.932117
[94,] -2.070407
[95,] -1.036581
[96,] -0.441274
[97,] -0.794962
[98,] -1.987974
[99,] -1.039387
[100,] -1.821773
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.792057
[2,] -2.825765
[3,] -3.237961
[4,] -2.100087
[5,] -2.622936
[6,] -0.673998
[7,] -2.561448
[8,] -1.475537
[9,] -1.470301
[10,] -0.777025
[11,] NaN
[12,] -0.374063
[13,] -1.177167
[14,] -1.105272
[15,] -1.566797
[16,] -1.921057
[17,] -2.630956
[18,] 0.498896
[19,] -1.465457
[20,] -2.918689
[21,] -1.826077
[22,] -2.475960
[23,] -0.923700
[24,] -4.624991
[25,] -1.352570
[26,] -2.790728
[27,] -2.454838
[28,] -1.678113
[29,] -1.554386
[30,] -0.968028
[31,] -3.114732
[32,] -2.554127
[33,] -4.140377
[34,] -3.781896
[35,] 0.015650
[36,] -2.048533
[37,] 0.056595
[38,] -3.430023
[39,] -3.882482
[40,] -0.617785
[41,] -0.882634
[42,] -2.098672
[43,] -0.987216
[44,] -1.154257
[45,] -1.043731
[46,] -1.072360
[47,] -1.149547
[48,] -2.071644
[49,] -1.120478
[50,] -1.395883
[51,] -2.316366
[52,] -2.018296
[53,] -4.825405
[54,] -3.207824
[55,] -1.768283
[56,] -2.372547
[57,] -4.752035
[58,] -2.012719
[59,] 0.260785
[60,] -0.264038
[61,] 0.009071
[62,] -1.711521
[63,] -3.762380
[64,] -3.102719
[65,] -2.109226
[66,] -2.071873
[67,] -4.017643
[68,] -4.569409
[69,] -2.983119
[70,] -0.025744
[71,] -1.135057
[72,] -0.654933
[73,] -2.123401
[74,] -1.426137
[75,] -1.413789
[76,] -4.518029
[77,] -0.345581
[78,] -1.203842
[79,] -2.394392
[80,] -1.263554
[81,] -4.144202
[82,] -0.135155
[83,] -0.218818
[84,] -1.108111
[85,] -0.537960
[86,] -1.410839
[87,] -1.439843
[88,] -1.751367
[89,] -5.359189
[90,] -2.177639
[91,] -0.492226
[92,] -2.354908
[93,] -3.943185
[94,] -2.068558
[95,] -1.036778
[96,] -0.440535
[97,] -0.794032
[98,] -2.079925
[99,] -1.039680
[100,] -1.824201
attr(,"class")
[1] "list" "PPfit"
$lzstar
lzstar
[1,] -3.737824
[2,] -2.816291
[3,] -3.243171
[4,] -2.096501
[5,] -2.564774
[6,] -0.673569
[7,] -2.544653
[8,] -1.477405
[9,] -1.470265
[10,] -0.777959
[11,] -0.917715
[12,] -0.381945
[13,] -1.176047
[14,] -1.106533
[15,] -1.584658
[16,] -1.915156
[17,] -2.630140
[18,] 0.497363
[19,] -1.465959
[20,] -2.952026
[21,] -1.829582
[22,] -2.480497
[23,] -0.923701
[24,] -4.621587
[25,] -1.334454
[26,] -2.792790
[27,] -2.454056
[28,] -1.617774
[29,] -1.553276
[30,] -0.965062
[31,] -3.070192
[32,] -2.558858
[33,] -4.107884
[34,] -3.789054
[35,] 0.011436
[36,] -2.052186
[37,] 0.055447
[38,] -3.404522
[39,] -3.736122
[40,] -0.617214
[41,] -0.880919
[42,] -2.101667
[43,] -0.987165
[44,] -1.156376
[45,] -1.044257
[46,] -1.058436
[47,] -1.156802
[48,] -2.064625
[49,] -1.120503
[50,] -1.388513
[51,] -2.284580
[52,] -2.017491
[53,] -4.803945
[54,] -3.214097
[55,] -1.726862
[56,] -2.377039
[57,] -4.761327
[58,] -1.983717
[59,] 0.259010
[60,] -0.251341
[61,] -0.114005
[62,] -1.706363
[63,] -3.766629
[64,] -3.107501
[65,] -2.109081
[66,] -2.075601
[67,] -4.010560
[68,] -4.580847
[69,] -2.986081
[70,] -0.027282
[71,] -1.138128
[72,] -0.656058
[73,] -2.113418
[74,] -1.428210
[75,] -1.405381
[76,] -4.487552
[77,] -0.345483
[78,] -1.199770
[79,] -2.397962
[80,] -1.291019
[81,] -3.983587
[82,] -0.137060
[83,] -0.212167
[84,] -1.097714
[85,] -0.535060
[86,] -1.410041
[87,] -1.427171
[88,] -1.752695
[89,] -5.371338
[90,] -2.181894
[91,] -0.501101
[92,] -2.169422
[93,] -3.932117
[94,] -2.070407
[95,] -1.036581
[96,] -0.441274
[97,] -0.794962
[98,] -1.987974
[99,] -1.039387
[100,] -1.821773
$infit
infit in_t in_chisq in_df in_pv
[1,] 1.942772 2.883050 32.062 14 0.004
[2,] 1.670640 1.957155 31.196 14 0.005
[3,] 1.782421 2.648288 29.165 14 0.010
[4,] 1.529123 1.742680 24.881 14 0.036
[5,] 1.615724 1.859441 29.156 14 0.010
[6,] 1.218634 0.863249 16.012 14 0.313
[7,] 1.655150 2.329127 23.587 14 0.051
[8,] 1.381450 1.507553 19.999 14 0.130
[9,] 1.385262 1.380884 21.044 14 0.101
[10,] 1.183126 0.803586 18.245 14 0.196
[11,] 1.195632 0.629765 16.053 14 0.310
[12,] 1.002166 0.109848 20.095 14 0.127
[13,] 1.287664 1.173366 19.230 14 0.156
[14,] 1.273651 1.135127 19.066 14 0.162
[15,] 1.392858 1.257353 22.016 14 0.078
[16,] 1.468665 1.747284 22.158 14 0.075
[17,] 1.650767 2.249756 26.078 14 0.025
[18,] 0.872825 -0.435125 12.791 14 0.543
[19,] 1.372857 1.410643 20.073 14 0.128
[20,] 1.535820 1.452389 61.225 14 0.000
[21,] 1.420876 1.607099 23.531 14 0.052
[22,] 1.629110 2.241998 24.361 14 0.041
[23,] 1.237335 0.931470 18.826 14 0.172
[24,] 2.128834 3.476719 35.309 14 0.001
[25,] 1.343176 1.294168 19.851 14 0.135
[26,] 1.663641 2.228932 28.529 14 0.012
[27,] 1.615642 2.264580 23.711 14 0.050
[28,] 1.393605 1.237159 22.218 14 0.074
[29,] 1.370552 1.431321 21.834 14 0.082
[30,] 1.249461 1.047138 18.035 14 0.205
[31,] 1.720693 1.942530 32.948 14 0.003
[32,] 1.613992 2.189417 26.070 14 0.025
[33,] 2.037194 2.925329 35.301 14 0.001
[34,] 1.914562 3.015693 31.390 14 0.005
[35,] 1.008161 0.115105 14.146 14 0.439
[36,] 1.509023 1.906333 22.976 14 0.061
[37,] 0.994952 0.064419 14.340 14 0.425
[38,] 1.887269 2.617328 30.517 14 0.006
[39,] 1.909712 2.264170 36.128 14 0.001
[40,] 1.150800 0.681690 17.177 14 0.247
[41,] 1.242687 0.904985 17.755 14 0.218
[42,] 1.532097 2.005200 22.447 14 0.070
[43,] 1.142257 0.647374 24.551 14 0.039
[44,] 1.257759 1.059200 20.745 14 0.108
[45,] 1.297403 1.098709 18.303 14 0.193
[46,] 1.292238 1.130720 17.933 14 0.210
[47,] 1.295282 1.153108 18.916 14 0.168
[48,] 1.453976 1.580738 29.947 14 0.008
[49,] 1.265292 1.017412 20.772 14 0.108
[50,] 1.376729 1.392003 19.677 14 0.141
[51,] 1.584311 1.896548 25.244 14 0.032
[52,] 1.536697 1.835977 23.362 14 0.055
[53,] 2.156246 2.459391 73.731 14 0.000
[54,] 1.755310 2.635329 29.265 14 0.010
[55,] 1.445234 1.677527 20.689 14 0.110
[56,] 1.567973 2.027683 25.652 14 0.029
[57,] 2.154337 3.599112 35.618 14 0.001
[58,] 1.507493 1.810594 22.315 14 0.072
[59,] 0.889416 -0.320608 15.256 14 0.361
[60,] 0.994014 0.079564 18.236 14 0.196
[61,] 0.910957 -0.115615 11.730 14 0.628
[62,] 1.443726 1.535104 22.296 14 0.073
[63,] 1.928657 2.986044 31.321 14 0.005
[64,] 1.719677 2.566545 29.241 14 0.010
[65,] 1.537705 1.838124 24.131 14 0.044
[66,] 1.501650 1.885652 23.456 14 0.053
[67,] 1.954917 2.820138 36.541 14 0.001
[68,] 2.079210 3.524696 35.149 14 0.001
[69,] 1.740379 2.413647 28.515 14 0.012
[70,] 1.012653 0.134253 14.783 14 0.393
[71,] 1.269487 1.071982 20.093 14 0.127
[72,] 1.168568 0.746613 17.196 14 0.246
[73,] 1.427979 1.657645 28.559 14 0.012
[74,] 1.370530 1.444144 20.018 14 0.130
[75,] 1.351478 1.316882 20.556 14 0.114
[76,] 2.173175 3.311271 34.730 14 0.002
[77,] 1.089367 0.434572 15.745 14 0.329
[78,] 1.309548 1.254794 18.847 14 0.171
[79,] 1.599100 2.202336 23.887 14 0.047
[80,] 1.346814 1.105112 18.937 14 0.167
[81,] 2.066840 2.588771 32.337 14 0.004
[82,] 1.035369 0.223251 15.369 14 0.353
[83,] 1.011935 0.137798 16.856 14 0.264
[84,] 1.268518 0.845690 19.955 14 0.132
[85,] 1.169310 0.682358 15.653 14 0.335
[86,] 1.331972 1.245603 22.275 14 0.073
[87,] 1.361042 1.299092 21.345 14 0.093
[88,] 1.435053 1.695145 21.441 14 0.091
[89,] 2.275732 4.009439 38.198 14 0.000
[90,] 1.528398 1.948185 24.080 14 0.045
[91,] 1.103363 0.436907 17.213 14 0.245
[92,] 1.552637 1.595852 24.307 14 0.042
[93,] 1.990350 2.909127 33.821 14 0.002
[94,] 1.505585 1.799371 24.230 14 0.043
[95,] 1.140674 0.637157 25.764 14 0.028
[96,] 1.122521 0.556417 16.234 14 0.299
[97,] 1.217552 0.921006 17.038 14 0.254
[98,] 1.457027 1.377236 26.420 14 0.023
[99,] 1.246408 0.916598 20.473 14 0.116
[100,] 1.361422 1.438904 27.067 14 0.019
$outfit
outfit ou_t ou_chisq ou_df ou_pv
[1,] 2.137454 2.833035 32.062 14 0.004
[2,] 2.079738 2.206677 31.196 14 0.005
[3,] 1.944302 2.701877 29.165 14 0.010
[4,] 1.658706 1.714189 24.881 14 0.036
[5,] 1.943756 2.045492 29.156 14 0.010
[6,] 1.067451 0.299364 16.012 14 0.313
[7,] 1.572463 1.572162 23.587 14 0.051
[8,] 1.333253 1.142563 19.999 14 0.130
[9,] 1.402942 1.233041 21.044 14 0.101
[10,] 1.216353 0.797638 18.245 14 0.196
[11,] 1.070208 0.304142 16.053 14 0.310
[12,] 1.339638 0.881407 20.095 14 0.127
[13,] 1.282009 0.909082 19.230 14 0.156
[14,] 1.271058 0.959566 19.066 14 0.162
[15,] 1.467732 1.150403 22.016 14 0.078
[16,] 1.477208 1.328515 22.158 14 0.075
[17,] 1.738547 2.198674 26.078 14 0.025
[18,] 0.852741 -0.429420 12.791 14 0.543
[19,] 1.338223 0.952300 20.073 14 0.128
[20,] 4.081659 2.705107 61.225 14 0.000
[21,] 1.568765 1.805829 23.531 14 0.052
[22,] 1.624042 1.947582 24.361 14 0.041
[23,] 1.255051 0.645943 18.826 14 0.172
[24,] 2.353949 3.505412 35.309 14 0.001
[25,] 1.323402 0.866398 19.851 14 0.135
[26,] 1.901943 2.487821 28.529 14 0.012
[27,] 1.580712 1.719982 23.711 14 0.050
[28,] 1.481168 1.150355 22.218 14 0.074
[29,] 1.455574 1.501100 21.834 14 0.082
[30,] 1.202341 0.713686 18.035 14 0.205
[31,] 2.196506 2.190671 32.948 14 0.003
[32,] 1.738027 2.229370 26.070 14 0.025
[33,] 2.353392 2.851248 35.301 14 0.001
[34,] 2.092686 3.035111 31.390 14 0.005
[35,] 0.943083 -0.055236 14.146 14 0.439
[36,] 1.531721 1.703807 22.976 14 0.061
[37,] 0.955971 -0.057005 14.340 14 0.425
[38,] 2.034439 2.378723 30.517 14 0.006
[39,] 2.408541 2.379179 36.128 14 0.001
[40,] 1.145105 0.549392 17.177 14 0.247
[41,] 1.183636 0.493703 17.755 14 0.218
[42,] 1.496461 1.576813 22.447 14 0.070
[43,] 1.636710 1.803188 24.551 14 0.039
[44,] 1.382980 1.300552 20.745 14 0.108
[45,] 1.220204 0.739075 18.303 14 0.193
[46,] 1.195542 0.596477 17.933 14 0.210
[47,] 1.261084 0.769933 18.916 14 0.168
[48,] 1.996462 1.637954 29.947 14 0.008
[49,] 1.384818 0.846978 20.772 14 0.108
[50,] 1.311797 0.808713 19.677 14 0.141
[51,] 1.682906 1.773937 25.244 14 0.032
[52,] 1.557460 1.099339 23.362 14 0.055
[53,] 4.915431 2.934263 73.731 14 0.000
[54,] 1.951001 2.727527 29.265 14 0.010
[55,] 1.379278 1.110738 20.689 14 0.110
[56,] 1.710104 2.146674 25.652 14 0.029
[57,] 2.374505 3.602855 35.618 14 0.001
[58,] 1.487658 1.226247 22.315 14 0.072
[59,] 1.017041 0.164883 15.256 14 0.361
[60,] 1.215712 0.642548 18.236 14 0.196
[61,] 0.782026 -0.259002 11.730 14 0.628
[62,] 1.486419 1.399557 22.296 14 0.073
[63,] 2.088073 2.970855 31.321 14 0.005
[64,] 1.949411 2.687799 29.241 14 0.010
[65,] 1.608754 1.751410 24.131 14 0.044
[66,] 1.563713 1.786192 23.456 14 0.053
[67,] 2.436079 3.146947 36.541 14 0.001
[68,] 2.343257 3.543579 35.149 14 0.001
[69,] 1.901026 2.442536 28.515 14 0.012
[70,] 0.985562 0.047375 14.783 14 0.393
[71,] 1.339546 1.161440 20.093 14 0.127
[72,] 1.146373 0.583111 17.196 14 0.246
[73,] 1.903912 2.378998 28.559 14 0.012
[74,] 1.334552 1.161570 20.018 14 0.130
[75,] 1.370405 0.946176 20.556 14 0.114
[76,] 2.315307 2.951878 34.730 14 0.002
[77,] 1.049661 0.256735 15.745 14 0.329
[78,] 1.256480 0.851953 18.847 14 0.171
[79,] 1.592462 1.846969 23.887 14 0.047
[80,] 1.262481 0.716615 18.937 14 0.167
[81,] 2.155797 2.087139 32.337 14 0.004
[82,] 1.024604 0.180683 15.369 14 0.353
[83,] 1.123736 0.398360 16.856 14 0.264
[84,] 1.330351 0.657330 19.955 14 0.132
[85,] 1.043549 0.261510 15.653 14 0.335
[86,] 1.485028 1.081260 22.275 14 0.073
[87,] 1.422989 1.266023 21.345 14 0.093
[88,] 1.429425 1.372424 21.441 14 0.091
[89,] 2.546563 3.937294 38.198 14 0.000
[90,] 1.605308 1.900426 24.080 14 0.045
[91,] 1.147541 0.492084 17.213 14 0.245
[92,] 1.620466 1.362263 24.307 14 0.042
[93,] 2.254721 2.861026 33.821 14 0.002
[94,] 1.615366 1.864343 24.230 14 0.043
[95,] 1.717624 1.933133 25.764 14 0.028
[96,] 1.082234 0.375408 16.234 14 0.299
[97,] 1.135853 0.507511 17.038 14 0.254
[98,] 1.761304 1.608235 26.420 14 0.023
[99,] 1.364846 1.060110 20.473 14 0.116
[100,] 1.804478 2.192861 27.067 14 0.019
attr(,"class")
[1] "list" "PPfit"
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