pfit: Person-Fit statistics

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

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Pfit(respm, pp, fitindices, SE = FALSE)

## S3 method for class 'gpcm'
Pfit(respm, pp, fitindices = c("infit", "outfit"), SE = FALSE)

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

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.