MIDUS 1
##
## Attaching package: 'foreach'
## The following objects are masked from 'package:purrr':
##
## accumulate, when
## The following object is masked from 'package:expss':
##
## when
## Loading required package: iterators
## Loading required package: parallel
## Warning: executing %dopar% sequentially: no parallel backend registered
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.988 0.012
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9922 0.0078
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.88 0.12
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 0.9849 0.0151
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.8243 0.1757
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 0.9513 0.0487
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.9542 0.0458
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 0.9768 0.0232
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.9882 0.0118
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.9701 0.0299
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.9153 0.0847
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.8674 0.1326
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.8907 0.1093
##
## Estimated class population shares
## 1
##
## Predicted class memberships (by modal posterior prob.)
## 1
##
## =========================================================
## Fit for 1 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 13
## residual degrees of freedom: 6164
## maximum log-likelihood: -16900.19
##
## AIC(1): 33826.39
## BIC(1): 33913.86
## G^2(1): 5792.373 (Likelihood ratio/deviance statistic)
## X^2(1): 2.491211e+14 (Chi-square goodness of fit)
##
## Model 1: llik = -15027.82 ... best llik = -15027.82
## Model 2: llik = -15027.82 ... best llik = -15027.82
## Model 3: llik = -15027.82 ... best llik = -15027.82
## Model 4: llik = -15027.82 ... best llik = -15027.82
## Model 5: llik = -15027.82 ... best llik = -15027.82
## Model 6: llik = -15027.82 ... best llik = -15027.82
## Model 7: llik = -15027.82 ... best llik = -15027.82
## Model 8: llik = -15027.82 ... best llik = -15027.82
## Model 9: llik = -15027.82 ... best llik = -15027.82
## Model 10: llik = -15027.82 ... best llik = -15027.82
## Model 11: llik = -15027.82 ... best llik = -15027.82
## Model 12: llik = -15027.82 ... best llik = -15027.82
## Model 13: llik = -15027.82 ... best llik = -15027.82
## Model 14: llik = -15027.82 ... best llik = -15027.82
## Model 15: llik = -15027.82 ... best llik = -15027.82
## Model 16: llik = -15027.82 ... best llik = -15027.82
## Model 17: llik = -15027.82 ... best llik = -15027.82
## Model 18: llik = -15027.82 ... best llik = -15027.82
## Model 19: llik = -15027.82 ... best llik = -15027.82
## Model 20: llik = -15027.82 ... best llik = -15027.82
## Model 21: llik = -15027.82 ... best llik = -15027.82
## Model 22: llik = -15027.82 ... best llik = -15027.82
## Model 23: llik = -15027.82 ... best llik = -15027.82
## Model 24: llik = -15027.82 ... best llik = -15027.82
## Model 25: llik = -15027.82 ... best llik = -15027.82
## Model 26: llik = -15027.82 ... best llik = -15027.82
## Model 27: llik = -15027.82 ... best llik = -15027.82
## Model 28: llik = -15027.82 ... best llik = -15027.82
## Model 29: llik = -15027.82 ... best llik = -15027.82
## Model 30: llik = -15027.82 ... best llik = -15027.82
## Model 31: llik = -15027.82 ... best llik = -15027.82
## Model 32: llik = -15027.82 ... best llik = -15027.82
## Model 33: llik = -15027.82 ... best llik = -15027.82
## Model 34: llik = -15027.82 ... best llik = -15027.82
## Model 35: llik = -15027.82 ... best llik = -15027.82
## Model 36: llik = -15027.82 ... best llik = -15027.82
## Model 37: llik = -15027.82 ... best llik = -15027.82
## Model 38: llik = -15027.82 ... best llik = -15027.82
## Model 39: llik = -15027.82 ... best llik = -15027.82
## Model 40: llik = -15027.82 ... best llik = -15027.82
## Model 41: llik = -15027.82 ... best llik = -15027.82
## Model 42: llik = -15027.82 ... best llik = -15027.82
## Model 43: llik = -15027.82 ... best llik = -15027.82
## Model 44: llik = -15027.82 ... best llik = -15027.82
## Model 45: llik = -15027.82 ... best llik = -15027.82
## Model 46: llik = -15027.82 ... best llik = -15027.82
## Model 47: llik = -15027.82 ... best llik = -15027.82
## Model 48: llik = -15027.82 ... best llik = -15027.82
## Model 49: llik = -15027.82 ... best llik = -15027.82
## Model 50: llik = -15027.82 ... best llik = -15027.82
## Model 51: llik = -15027.82 ... best llik = -15027.82
## Model 52: llik = -15027.82 ... best llik = -15027.82
## Model 53: llik = -15027.82 ... best llik = -15027.82
## Model 54: llik = -15027.82 ... best llik = -15027.82
## Model 55: llik = -15027.82 ... best llik = -15027.82
## Model 56: llik = -15027.82 ... best llik = -15027.82
## Model 57: llik = -15027.82 ... best llik = -15027.82
## Model 58: llik = -15027.82 ... best llik = -15027.82
## Model 59: llik = -15027.82 ... best llik = -15027.82
## Model 60: llik = -15027.82 ... best llik = -15027.82
## Model 61: llik = -15027.82 ... best llik = -15027.82
## Model 62: llik = -15027.82 ... best llik = -15027.82
## Model 63: llik = -15027.82 ... best llik = -15027.82
## Model 64: llik = -15027.82 ... best llik = -15027.82
## Model 65: llik = -15027.82 ... best llik = -15027.82
## Model 66: llik = -15027.82 ... best llik = -15027.82
## Model 67: llik = -15027.82 ... best llik = -15027.82
## Model 68: llik = -15027.82 ... best llik = -15027.82
## Model 69: llik = -15027.82 ... best llik = -15027.82
## Model 70: llik = -15027.82 ... best llik = -15027.82
## Model 71: llik = -15027.82 ... best llik = -15027.82
## Model 72: llik = -15027.82 ... best llik = -15027.82
## Model 73: llik = -15027.82 ... best llik = -15027.82
## Model 74: llik = -15027.82 ... best llik = -15027.82
## Model 75: llik = -15027.82 ... best llik = -15027.82
## Model 76: llik = -15027.82 ... best llik = -15027.82
## Model 77: llik = -15027.82 ... best llik = -15027.82
## Model 78: llik = -15027.82 ... best llik = -15027.82
## Model 79: llik = -15027.82 ... best llik = -15027.82
## Model 80: llik = -15027.82 ... best llik = -15027.82
## Model 81: llik = -15027.82 ... best llik = -15027.82
## Model 82: llik = -15027.82 ... best llik = -15027.82
## Model 83: llik = -15027.82 ... best llik = -15027.82
## Model 84: llik = -15027.82 ... best llik = -15027.82
## Model 85: llik = -15027.82 ... best llik = -15027.82
## Model 86: llik = -15027.82 ... best llik = -15027.82
## Model 87: llik = -15027.82 ... best llik = -15027.82
## Model 88: llik = -15027.82 ... best llik = -15027.82
## Model 89: llik = -15027.82 ... best llik = -15027.82
## Model 90: llik = -15027.82 ... best llik = -15027.82
## Model 91: llik = -15027.82 ... best llik = -15027.82
## Model 92: llik = -15027.82 ... best llik = -15027.82
## Model 93: llik = -15027.82 ... best llik = -15027.82
## Model 94: llik = -15027.82 ... best llik = -15027.82
## Model 95: llik = -15027.82 ... best llik = -15027.82
## Model 96: llik = -15027.82 ... best llik = -15027.82
## Model 97: llik = -15027.82 ... best llik = -15027.82
## Model 98: llik = -15027.82 ... best llik = -15027.82
## Model 99: llik = -15027.82 ... best llik = -15027.82
## Model 100: llik = -15027.82 ... best llik = -15027.82
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.9297 0.0703
## class 2: 0.9973 0.0027
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9515 0.0485
## class 2: 0.9987 0.0013
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.6865 0.3135
## class 2: 0.9108 0.0892
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 0.8901 0.1099
## class 2: 1.0000 0.0000
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.3820 0.6180
## class 2: 0.8946 0.1054
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 0.6936 0.3064
## class 2: 0.9922 0.0078
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.7749 0.2251
## class 2: 0.9827 0.0173
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 0.8398 0.1602
## class 2: 0.9986 0.0014
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.9424 0.0576
## class 2: 0.9954 0.0046
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.7902 0.2098
## class 2: 0.9986 0.0014
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.5593 0.4407
## class 2: 0.9719 0.0281
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.4107 0.5893
## class 2: 0.9399 0.0601
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.6467 0.3533
## class 2: 0.9295 0.0705
##
## Estimated class population shares
## 0.137 0.863
##
## Predicted class memberships (by modal posterior prob.)
## 0.1151 0.8849
##
## =========================================================
## Fit for 2 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 27
## residual degrees of freedom: 6150
## maximum log-likelihood: -15027.82
##
## AIC(2): 30109.64
## BIC(2): 30291.31
## G^2(2): 2047.618 (Likelihood ratio/deviance statistic)
## X^2(2): 1520972 (Chi-square goodness of fit)
##
## Model 1: llik = -14817.29 ... best llik = -14817.29
## Model 2: llik = -14817.29 ... best llik = -14817.29
## Model 3: llik = -14817.29 ... best llik = -14817.29
## Model 4: llik = -14817.29 ... best llik = -14817.29
## Model 5: llik = -14817.29 ... best llik = -14817.29
## Model 6: llik = -14817.29 ... best llik = -14817.29
## Model 7: llik = -14817.29 ... best llik = -14817.29
## Model 8: llik = -14817.29 ... best llik = -14817.29
## Model 9: llik = -14817.29 ... best llik = -14817.29
## Model 10: llik = -14817.29 ... best llik = -14817.29
## Model 11: llik = -14817.29 ... best llik = -14817.29
## Model 12: llik = -14817.29 ... best llik = -14817.29
## Model 13: llik = -14817.29 ... best llik = -14817.29
## Model 14: llik = -14817.29 ... best llik = -14817.29
## Model 15: llik = -14817.29 ... best llik = -14817.29
## Model 16: llik = -14817.29 ... best llik = -14817.29
## Model 17: llik = -14817.29 ... best llik = -14817.29
## Model 18: llik = -14817.29 ... best llik = -14817.29
## Model 19: llik = -14817.29 ... best llik = -14817.29
## Model 20: llik = -14817.29 ... best llik = -14817.29
## Model 21: llik = -14817.29 ... best llik = -14817.29
## Model 22: llik = -14817.29 ... best llik = -14817.29
## Model 23: llik = -14817.29 ... best llik = -14817.29
## Model 24: llik = -14817.29 ... best llik = -14817.29
## Model 25: llik = -14817.29 ... best llik = -14817.29
## Model 26: llik = -14817.29 ... best llik = -14817.29
## Model 27: llik = -14817.29 ... best llik = -14817.29
## Model 28: llik = -14817.29 ... best llik = -14817.29
## Model 29: llik = -14817.29 ... best llik = -14817.29
## Model 30: llik = -14817.29 ... best llik = -14817.29
## Model 31: llik = -14817.29 ... best llik = -14817.29
## Model 32: llik = -14817.29 ... best llik = -14817.29
## Model 33: llik = -14817.29 ... best llik = -14817.29
## Model 34: llik = -14817.29 ... best llik = -14817.29
## Model 35: llik = -14817.29 ... best llik = -14817.29
## Model 36: llik = -14817.29 ... best llik = -14817.29
## Model 37: llik = -14817.29 ... best llik = -14817.29
## Model 38: llik = -14817.29 ... best llik = -14817.29
## Model 39: llik = -14817.29 ... best llik = -14817.29
## Model 40: llik = -14817.29 ... best llik = -14817.29
## Model 41: llik = -14817.29 ... best llik = -14817.29
## Model 42: llik = -14817.29 ... best llik = -14817.29
## Model 43: llik = -14817.29 ... best llik = -14817.29
## Model 44: llik = -14817.29 ... best llik = -14817.29
## Model 45: llik = -14817.29 ... best llik = -14817.29
## Model 46: llik = -14817.29 ... best llik = -14817.29
## Model 47: llik = -14817.29 ... best llik = -14817.29
## Model 48: llik = -14817.29 ... best llik = -14817.29
## Model 49: llik = -14817.29 ... best llik = -14817.29
## Model 50: llik = -14817.29 ... best llik = -14817.29
## Model 51: llik = -14817.29 ... best llik = -14817.29
## Model 52: llik = -14817.29 ... best llik = -14817.29
## Model 53: llik = -14817.29 ... best llik = -14817.29
## Model 54: llik = -14817.29 ... best llik = -14817.29
## Model 55: llik = -14817.29 ... best llik = -14817.29
## Model 56: llik = -14817.29 ... best llik = -14817.29
## Model 57: llik = -14817.29 ... best llik = -14817.29
## Model 58: llik = -14817.29 ... best llik = -14817.29
## Model 59: llik = -14817.29 ... best llik = -14817.29
## Model 60: llik = -14817.29 ... best llik = -14817.29
## Model 61: llik = -14817.29 ... best llik = -14817.29
## Model 62: llik = -14817.29 ... best llik = -14817.29
## Model 63: llik = -14817.29 ... best llik = -14817.29
## Model 64: llik = -14817.29 ... best llik = -14817.29
## Model 65: llik = -14817.29 ... best llik = -14817.29
## Model 66: llik = -14817.29 ... best llik = -14817.29
## Model 67: llik = -14817.29 ... best llik = -14817.29
## Model 68: llik = -14817.29 ... best llik = -14817.29
## Model 69: llik = -14817.29 ... best llik = -14817.29
## Model 70: llik = -14817.29 ... best llik = -14817.29
## Model 71: llik = -14817.29 ... best llik = -14817.29
## Model 72: llik = -14817.29 ... best llik = -14817.29
## Model 73: llik = -14817.29 ... best llik = -14817.29
## Model 74: llik = -14817.29 ... best llik = -14817.29
## Model 75: llik = -14817.29 ... best llik = -14817.29
## Model 76: llik = -14817.29 ... best llik = -14817.29
## Model 77: llik = -14817.29 ... best llik = -14817.29
## Model 78: llik = -14817.29 ... best llik = -14817.29
## Model 79: llik = -14817.29 ... best llik = -14817.29
## Model 80: llik = -14817.29 ... best llik = -14817.29
## Model 81: llik = -14817.29 ... best llik = -14817.29
## Model 82: llik = -14817.29 ... best llik = -14817.29
## Model 83: llik = -14817.29 ... best llik = -14817.29
## Model 84: llik = -14817.29 ... best llik = -14817.29
## Model 85: llik = -14817.29 ... best llik = -14817.29
## Model 86: llik = -14817.29 ... best llik = -14817.29
## Model 87: llik = -14817.29 ... best llik = -14817.29
## Model 88: llik = -14817.29 ... best llik = -14817.29
## Model 89: llik = -14817.29 ... best llik = -14817.29
## Model 90: llik = -14817.29 ... best llik = -14817.29
## Model 91: llik = -14817.29 ... best llik = -14817.29
## Model 92: llik = -14817.29 ... best llik = -14817.29
## Model 93: llik = -14817.29 ... best llik = -14817.29
## Model 94: llik = -14817.29 ... best llik = -14817.29
## Model 95: llik = -14817.29 ... best llik = -14817.29
## Model 96: llik = -14817.29 ... best llik = -14817.29
## Model 97: llik = -14817.29 ... best llik = -14817.29
## Model 98: llik = -14817.29 ... best llik = -14817.29
## Model 99: llik = -14817.29 ... best llik = -14817.29
## Model 100: llik = -14817.29 ... best llik = -14817.29
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.8637 0.1363
## class 2: 0.9799 0.0201
## class 3: 0.9985 0.0015
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9083 0.0917
## class 2: 0.9858 0.0142
## class 3: 0.9996 0.0004
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.6385 0.3615
## class 2: 0.7795 0.2205
## class 3: 0.9306 0.0694
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 0.6834 0.3166
## class 2: 0.9945 0.0055
## class 3: 1.0000 0.0000
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.3137 0.6863
## class 2: 0.5530 0.4470
## class 3: 0.9523 0.0477
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 0.4593 0.5407
## class 2: 0.8993 0.1007
## class 3: 0.9999 0.0001
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.6322 0.3678
## class 2: 0.9047 0.0953
## class 3: 0.9915 0.0085
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 0.6449 0.3551
## class 2: 0.9689 0.0311
## class 3: 1.0000 0.0000
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.8748 0.1252
## class 2: 0.9849 0.0151
## class 3: 0.9963 0.0037
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.5341 0.4659
## class 2: 0.9608 0.0392
## class 3: 1.0000 0.0000
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.4646 0.5354
## class 2: 0.7556 0.2444
## class 3: 0.9998 0.0002
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.1297 0.8703
## class 2: 0.7287 0.2713
## class 3: 0.9620 0.0380
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.5493 0.4507
## class 2: 0.7673 0.2327
## class 3: 0.9556 0.0444
##
## Estimated class population shares
## 0.0432 0.2514 0.7054
##
## Predicted class memberships (by modal posterior prob.)
## 0.0382 0.1727 0.7891
##
## =========================================================
## Fit for 3 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 41
## residual degrees of freedom: 6136
## maximum log-likelihood: -14817.29
##
## AIC(3): 29716.58
## BIC(3): 29992.46
## G^2(3): 1626.566 (Likelihood ratio/deviance statistic)
## X^2(3): 14115.27 (Chi-square goodness of fit)
##
## Model 1: llik = -14748.72 ... best llik = -14748.72
## Model 2: llik = -14748.68 ... best llik = -14748.68
## Model 3: llik = -14748.7 ... best llik = -14748.68
## Model 4: llik = -14748.71 ... best llik = -14748.68
## Model 5: llik = -14749.11 ... best llik = -14748.68
## Model 6: llik = -14748.69 ... best llik = -14748.68
## Model 7: llik = -14713.93 ... best llik = -14713.93
## Model 8: llik = -14748.68 ... best llik = -14713.93
## Model 9: llik = -14748.69 ... best llik = -14713.93
## Model 10: llik = -14748.27 ... best llik = -14713.93
## Model 11: llik = -14748.68 ... best llik = -14713.93
## Model 12: llik = -14748.85 ... best llik = -14713.93
## Model 13: llik = -14748.7 ... best llik = -14713.93
## Model 14: llik = -14748.27 ... best llik = -14713.93
## Model 15: llik = -14748.71 ... best llik = -14713.93
## Model 16: llik = -14713.93 ... best llik = -14713.93
## Model 17: llik = -14713.93 ... best llik = -14713.93
## Model 18: llik = -14748.68 ... best llik = -14713.93
## Model 19: llik = -14748.27 ... best llik = -14713.93
## Model 20: llik = -14713.93 ... best llik = -14713.93
## Model 21: llik = -14748.83 ... best llik = -14713.93
## Model 22: llik = -14748.78 ... best llik = -14713.93
## Model 23: llik = -14748.85 ... best llik = -14713.93
## Model 24: llik = -14748.27 ... best llik = -14713.93
## Model 25: llik = -14748.83 ... best llik = -14713.93
## Model 26: llik = -14748.94 ... best llik = -14713.93
## Model 27: llik = -14748.68 ... best llik = -14713.93
## Model 28: llik = -14748.69 ... best llik = -14713.93
## Model 29: llik = -14716.98 ... best llik = -14713.93
## Model 30: llik = -14713.93 ... best llik = -14713.93
## Model 31: llik = -14748.7 ... best llik = -14713.93
## Model 32: llik = -14748.95 ... best llik = -14713.93
## Model 33: llik = -14713.93 ... best llik = -14713.93
## Model 34: llik = -14713.93 ... best llik = -14713.93
## Model 35: llik = -14749.08 ... best llik = -14713.93
## Model 36: llik = -14713.93 ... best llik = -14713.93
## Model 37: llik = -14749.37 ... best llik = -14713.93
## Model 38: llik = -14713.93 ... best llik = -14713.93
## Model 39: llik = -14713.93 ... best llik = -14713.93
## Model 40: llik = -14748.68 ... best llik = -14713.93
## Model 41: llik = -14749.02 ... best llik = -14713.93
## Model 42: llik = -14748.27 ... best llik = -14713.93
## Model 43: llik = -14748.72 ... best llik = -14713.93
## Model 44: llik = -14748.68 ... best llik = -14713.93
## Model 45: llik = -14713.93 ... best llik = -14713.93
## Model 46: llik = -14749.11 ... best llik = -14713.93
## Model 47: llik = -14748.27 ... best llik = -14713.93
## Model 48: llik = -14748.7 ... best llik = -14713.93
## Model 49: llik = -14748.68 ... best llik = -14713.93
## Model 50: llik = -14748.69 ... best llik = -14713.93
## Model 51: llik = -14713.93 ... best llik = -14713.93
## Model 52: llik = -14713.93 ... best llik = -14713.93
## Model 53: llik = -14713.93 ... best llik = -14713.93
## Model 54: llik = -14748.69 ... best llik = -14713.93
## Model 55: llik = -14713.93 ... best llik = -14713.93
## Model 56: llik = -14748.73 ... best llik = -14713.93
## Model 57: llik = -14748.27 ... best llik = -14713.93
## Model 58: llik = -14748.27 ... best llik = -14713.93
## Model 59: llik = -14713.93 ... best llik = -14713.93
## Model 60: llik = -14713.93 ... best llik = -14713.93
## Model 61: llik = -14748.27 ... best llik = -14713.93
## Model 62: llik = -14713.93 ... best llik = -14713.93
## Model 63: llik = -14748.27 ... best llik = -14713.93
## Model 64: llik = -14748.68 ... best llik = -14713.93
## Model 65: llik = -14713.93 ... best llik = -14713.93
## Model 66: llik = -14748.27 ... best llik = -14713.93
## Model 67: llik = -14713.93 ... best llik = -14713.93
## Model 68: llik = -14713.93 ... best llik = -14713.93
## Model 69: llik = -14713.93 ... best llik = -14713.93
## Model 70: llik = -14713.93 ... best llik = -14713.93
## Model 71: llik = -14748.69 ... best llik = -14713.93
## Model 72: llik = -14748.84 ... best llik = -14713.93
## Model 73: llik = -14748.71 ... best llik = -14713.93
## Model 74: llik = -14713.93 ... best llik = -14713.93
## Model 75: llik = -14748.27 ... best llik = -14713.93
## Model 76: llik = -14721.78 ... best llik = -14713.93
## Model 77: llik = -14748.27 ... best llik = -14713.93
## Model 78: llik = -14749.15 ... best llik = -14713.93
## Model 79: llik = -14713.93 ... best llik = -14713.93
## Model 80: llik = -14748.91 ... best llik = -14713.93
## Model 81: llik = -14713.93 ... best llik = -14713.93
## Model 82: llik = -14748.94 ... best llik = -14713.93
## Model 83: llik = -14748.68 ... best llik = -14713.93
## Model 84: llik = -14713.93 ... best llik = -14713.93
## Model 85: llik = -14748.27 ... best llik = -14713.93
## Model 86: llik = -14750.27 ... best llik = -14713.93
## Model 87: llik = -14748.68 ... best llik = -14713.93
## Model 88: llik = -14767.12 ... best llik = -14713.93
## Model 89: llik = -14748.78 ... best llik = -14713.93
## Model 90: llik = -14713.93 ... best llik = -14713.93
## Model 91: llik = -14713.93 ... best llik = -14713.93
## Model 92: llik = -14713.93 ... best llik = -14713.93
## Model 93: llik = -14713.93 ... best llik = -14713.93
## Model 94: llik = -14716.98 ... best llik = -14713.93
## Model 95: llik = -14748.69 ... best llik = -14713.93
## Model 96: llik = -14748.7 ... best llik = -14713.93
## Model 97: llik = -14713.93 ... best llik = -14713.93
## Model 98: llik = -14748.27 ... best llik = -14713.93
## Model 99: llik = -14748.68 ... best llik = -14713.93
## Model 100: llik = -14748.68 ... best llik = -14713.93
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.9985 0.0015
## class 2: 0.7842 0.2158
## class 3: 0.9633 0.0367
## class 4: 0.9782 0.0218
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9991 0.0009
## class 2: 0.9070 0.0930
## class 3: 0.9125 0.0875
## class 4: 0.9930 0.0070
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.9319 0.0681
## class 2: 0.5466 0.4534
## class 3: 0.8000 0.2000
## class 4: 0.7593 0.2407
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 1.0000 0.0000
## class 2: 0.6191 0.3809
## class 3: 0.8680 0.1320
## class 4: 0.9931 0.0069
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.9517 0.0483
## class 2: 0.2892 0.7108
## class 3: 0.4343 0.5657
## class 4: 0.5373 0.4627
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 1.0000 0.0000
## class 2: 0.1245 0.8755
## class 3: 0.8582 0.1418
## class 4: 0.8898 0.1102
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.9916 0.0084
## class 2: 0.4580 0.5420
## class 3: 0.8711 0.1289
## class 4: 0.8959 0.1041
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 1.0000 0.0000
## class 2: 0.3361 0.6639
## class 3: 0.9654 0.0346
## class 4: 0.9650 0.0350
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.9956 0.0044
## class 2: 0.9115 0.0885
## class 3: 0.8849 0.1151
## class 4: 0.9909 0.0091
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.9983 0.0017
## class 2: 0.6210 0.3790
## class 3: 0.5506 0.4494
## class 4: 0.9912 0.0088
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.9997 0.0003
## class 2: 0.4052 0.5948
## class 3: 0.6264 0.3736
## class 4: 0.7456 0.2544
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.9551 0.0449
## class 2: 0.2204 0.7796
## class 3: 0.0000 1.0000
## class 4: 0.8092 0.1908
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.9536 0.0464
## class 2: 0.4477 0.5523
## class 3: 0.7028 0.2972
## class 4: 0.7650 0.2350
##
## Estimated class population shares
## 0.7157 0.021 0.0418 0.2214
##
## Predicted class memberships (by modal posterior prob.)
## 0.7918 0.0191 0.0288 0.1603
##
## =========================================================
## Fit for 4 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 55
## residual degrees of freedom: 6122
## maximum log-likelihood: -14713.93
##
## AIC(4): 29537.86
## BIC(4): 29907.93
## G^2(4): 1419.839 (Likelihood ratio/deviance statistic)
## X^2(4): 13590.98 (Chi-square goodness of fit)
##
## ALERT: iterations finished, MAXIMUM LIKELIHOOD NOT FOUND
##
## Model 1: llik = -14660.21 ... best llik = -14660.21
## Model 2: llik = -14660.21 ... best llik = -14660.21
## Model 3: llik = -14684.23 ... best llik = -14660.21
## Model 4: llik = -14652.92 ... best llik = -14652.92
## Model 5: llik = -14654.06 ... best llik = -14652.92
## Model 6: llik = -14684.23 ... best llik = -14652.92
## Model 7: llik = -14652.92 ... best llik = -14652.92
## Model 8: llik = -14652.92 ... best llik = -14652.92
## Model 9: llik = -14652.92 ... best llik = -14652.92
## Model 10: llik = -14684.23 ... best llik = -14652.92
## Model 11: llik = -14652.92 ... best llik = -14652.92
## Model 12: llik = -14652.92 ... best llik = -14652.92
## Model 13: llik = -14684.23 ... best llik = -14652.92
## Model 14: llik = -14652.92 ... best llik = -14652.92
## Model 15: llik = -14660.21 ... best llik = -14652.92
## Model 16: llik = -14652.92 ... best llik = -14652.92
## Model 17: llik = -14660.21 ... best llik = -14652.92
## Model 18: llik = -14652.92 ... best llik = -14652.92
## Model 19: llik = -14652.92 ... best llik = -14652.92
## Model 20: llik = -14660.21 ... best llik = -14652.92
## Model 21: llik = -14652.92 ... best llik = -14652.92
## Model 22: llik = -14660.21 ... best llik = -14652.92
## Model 23: llik = -14652.92 ... best llik = -14652.92
## Model 24: llik = -14652.97 ... best llik = -14652.92
## Model 25: llik = -14660.21 ... best llik = -14652.92
## Model 26: llik = -14684.23 ... best llik = -14652.92
## Model 27: llik = -14684.24 ... best llik = -14652.92
## Model 28: llik = -14684.48 ... best llik = -14652.92
## Model 29: llik = -14652.92 ... best llik = -14652.92
## Model 30: llik = -14684.23 ... best llik = -14652.92
## Model 31: llik = -14660.21 ... best llik = -14652.92
## Model 32: llik = -14655.95 ... best llik = -14652.92
## Model 33: llik = -14652.92 ... best llik = -14652.92
## Model 34: llik = -14652.92 ... best llik = -14652.92
## Model 35: llik = -14652.92 ... best llik = -14652.92
## Model 36: llik = -14652.92 ... best llik = -14652.92
## Model 37: llik = -14660.21 ... best llik = -14652.92
## Model 38: llik = -14684.23 ... best llik = -14652.92
## Model 39: llik = -14660.21 ... best llik = -14652.92
## Model 40: llik = -14652.92 ... best llik = -14652.92
## Model 41: llik = -14652.92 ... best llik = -14652.92
## Model 42: llik = -14660.21 ... best llik = -14652.92
## Model 43: llik = -14660.21 ... best llik = -14652.92
## Model 44: llik = -14652.92 ... best llik = -14652.92
## Model 45: llik = -14684.23 ... best llik = -14652.92
## Model 46: llik = -14652.92 ... best llik = -14652.92
## Model 47: llik = -14652.92 ... best llik = -14652.92
## Model 48: llik = -14684.23 ... best llik = -14652.92
## Model 49: llik = -14684.23 ... best llik = -14652.92
## Model 50: llik = -14652.92 ... best llik = -14652.92
## Model 51: llik = -14652.92 ... best llik = -14652.92
## Model 52: llik = -14652.95 ... best llik = -14652.92
## Model 53: llik = -14660.21 ... best llik = -14652.92
## Model 54: llik = -14660.26 ... best llik = -14652.92
## Model 55: llik = -14684.23 ... best llik = -14652.92
## Model 56: llik = -14652.92 ... best llik = -14652.92
## Model 57: llik = -14652.92 ... best llik = -14652.92
## Model 58: llik = -14653.78 ... best llik = -14652.92
## Model 59: llik = -14652.92 ... best llik = -14652.92
## Model 60: llik = -14652.92 ... best llik = -14652.92
## Model 61: llik = -14684.23 ... best llik = -14652.92
## Model 62: llik = -14652.92 ... best llik = -14652.92
## Model 63: llik = -14652.92 ... best llik = -14652.92
## Model 64: llik = -14652.92 ... best llik = -14652.92
## Model 65: llik = -14652.92 ... best llik = -14652.92
## Model 66: llik = -14652.92 ... best llik = -14652.92
## Model 67: llik = -14652.92 ... best llik = -14652.92
## Model 68: llik = -14684.23 ... best llik = -14652.92
## Model 69: llik = -14684.23 ... best llik = -14652.92
## Model 70: llik = -14652.92 ... best llik = -14652.92
## Model 71: llik = -14652.92 ... best llik = -14652.92
## Model 72: llik = -14652.92 ... best llik = -14652.92
## Model 73: llik = -14660.21 ... best llik = -14652.92
## Model 74: llik = -14652.92 ... best llik = -14652.92
## Model 75: llik = -14652.92 ... best llik = -14652.92
## Model 76: llik = -14652.92 ... best llik = -14652.92
## Model 77: llik = -14660.21 ... best llik = -14652.92
## Model 78: llik = -14684.23 ... best llik = -14652.92
## Model 79: llik = -14652.92 ... best llik = -14652.92
## Model 80: llik = -14652.92 ... best llik = -14652.92
## Model 81: llik = -14661.63 ... best llik = -14652.92
## Model 82: llik = -14652.92 ... best llik = -14652.92
## Model 83: llik = -14652.92 ... best llik = -14652.92
## Model 84: llik = -14684.23 ... best llik = -14652.92
## Model 85: llik = -14684.23 ... best llik = -14652.92
## Model 86: llik = -14652.92 ... best llik = -14652.92
## Model 87: llik = -14693.7 ... best llik = -14652.92
## Model 88: llik = -14652.92 ... best llik = -14652.92
## Model 89: llik = -14684.23 ... best llik = -14652.92
## Model 90: llik = -14666.75 ... best llik = -14652.92
## Model 91: llik = -14652.92 ... best llik = -14652.92
## Model 92: llik = -14652.92 ... best llik = -14652.92
## Model 93: llik = -14652.92 ... best llik = -14652.92
## Model 94: llik = -14652.92 ... best llik = -14652.92
## Model 95: llik = -14652.92 ... best llik = -14652.92
## Model 96: llik = -14684.23 ... best llik = -14652.92
## Model 97: llik = -14660.27 ... best llik = -14652.92
## Model 98: llik = -14652.92 ... best llik = -14652.92
## Model 99: llik = -14684.23 ... best llik = -14652.92
## Model 100: llik = -14652.92 ... best llik = -14652.92
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.9635 0.0365
## class 2: 0.9985 0.0015
## class 3: 0.9797 0.0203
## class 4: 0.7825 0.2175
## class 5: 0.9765 0.0235
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9141 0.0859
## class 2: 0.9990 0.0010
## class 3: 0.9969 0.0031
## class 4: 0.9053 0.0947
## class 5: 0.9899 0.0101
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.7838 0.2162
## class 2: 0.9236 0.0764
## class 3: 0.9437 0.0563
## class 4: 0.5470 0.4530
## class 5: 0.5864 0.4136
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 0.8720 0.1280
## class 2: 1.0000 0.0000
## class 3: 0.9980 0.0020
## class 4: 0.6145 0.3855
## class 5: 0.9869 0.0131
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.4247 0.5753
## class 2: 0.9454 0.0546
## class 3: 0.6149 0.3851
## class 4: 0.2772 0.7228
## class 5: 0.4924 0.5076
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 0.8631 0.1369
## class 2: 1.0000 0.0000
## class 3: 0.8884 0.1116
## class 4: 0.1283 0.8717
## class 5: 0.8881 0.1119
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.8760 0.1240
## class 2: 0.9931 0.0069
## class 3: 0.8559 0.1441
## class 4: 0.4582 0.5418
## class 5: 0.9352 0.0648
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 0.9699 0.0301
## class 2: 1.0000 0.0000
## class 3: 0.9597 0.0403
## class 4: 0.3379 0.6621
## class 5: 0.9685 0.0315
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.8892 0.1108
## class 2: 0.9967 0.0033
## class 3: 0.9809 0.0191
## class 4: 0.9089 0.0911
## class 5: 0.9962 0.0038
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.5726 0.4274
## class 2: 0.9986 0.0014
## class 3: 0.9849 0.0151
## class 4: 0.6129 0.3871
## class 5: 0.9943 0.0057
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.5866 0.4134
## class 2: 0.9962 0.0038
## class 3: 1.0000 0.0000
## class 4: 0.3966 0.6034
## class 5: 0.4605 0.5395
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.0000 1.0000
## class 2: 0.9583 0.0417
## class 3: 0.7658 0.2342
## class 4: 0.2124 0.7876
## class 5: 0.8544 0.1456
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.7171 0.2829
## class 2: 0.9653 0.0347
## class 3: 0.6314 0.3686
## class 4: 0.4448 0.5552
## class 5: 0.8476 0.1524
##
## Estimated class population shares
## 0.0431 0.7153 0.1252 0.0208 0.0955
##
## Predicted class memberships (by modal posterior prob.)
## 0.0361 0.7886 0.0816 0.0189 0.0748
##
## =========================================================
## Fit for 5 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 69
## residual degrees of freedom: 6108
## maximum log-likelihood: -14652.92
##
## AIC(5): 29443.84
## BIC(5): 29908.11
## G^2(5): 1297.82 (Likelihood ratio/deviance statistic)
## X^2(5): 13971.66 (Chi-square goodness of fit)
##
## Model 1: llik = -14604.42 ... best llik = -14604.42
## Model 2: llik = -14604.31 ... best llik = -14604.31
## Model 3: llik = -14605.43 ... best llik = -14604.31
## Model 4: llik = -14604.33 ... best llik = -14604.31
## Model 5: llik = -14604.31 ... best llik = -14604.31
## Model 6: llik = -14607.28 ... best llik = -14604.31
## Model 7: llik = -14604.31 ... best llik = -14604.31
## Model 8: llik = -14604.31 ... best llik = -14604.31
## Model 9: llik = -14604.31 ... best llik = -14604.31
## Model 10: llik = -14604.31 ... best llik = -14604.31
## Model 11: llik = -14604.31 ... best llik = -14604.31
## Model 12: llik = -14604.31 ... best llik = -14604.31
## Model 13: llik = -14604.31 ... best llik = -14604.31
## Model 14: llik = -14604.31 ... best llik = -14604.31
## Model 15: llik = -14604.9 ... best llik = -14604.31
## Model 16: llik = -14604.43 ... best llik = -14604.31
## Model 17: llik = -14604.31 ... best llik = -14604.31
## Model 18: llik = -14668.15 ... best llik = -14604.31
## Model 19: llik = -14606.8 ... best llik = -14604.31
## Model 20: llik = -14604.31 ... best llik = -14604.31
## Model 21: llik = -14604.31 ... best llik = -14604.31
## Model 22: llik = -14606.55 ... best llik = -14604.31
## Model 23: llik = -14618.08 ... best llik = -14604.31
## Model 24: llik = -14604.31 ... best llik = -14604.31
## Model 25: llik = -14604.33 ... best llik = -14604.31
## Model 26: llik = -14605.95 ... best llik = -14604.31
## Model 27: llik = -14605.59 ... best llik = -14604.31
## Model 28: llik = -14604.31 ... best llik = -14604.31
## Model 29: llik = -14604.4 ... best llik = -14604.31
## Model 30: llik = -14604.31 ... best llik = -14604.31
## Model 31: llik = -14604.81 ... best llik = -14604.31
## Model 32: llik = -14607.19 ... best llik = -14604.31
## Model 33: llik = -14604.31 ... best llik = -14604.31
## Model 34: llik = -14605.47 ... best llik = -14604.31
## Model 35: llik = -14604.31 ... best llik = -14604.31
## Model 36: llik = -14604.31 ... best llik = -14604.31
## Model 37: llik = -14604.31 ... best llik = -14604.31
## Model 38: llik = -14604.34 ... best llik = -14604.31
## Model 39: llik = -14604.31 ... best llik = -14604.31
## Model 40: llik = -14607.1 ... best llik = -14604.31
## Model 41: llik = -14604.31 ... best llik = -14604.31
## Model 42: llik = -14607.18 ... best llik = -14604.31
## Model 43: llik = -14604.93 ... best llik = -14604.31
## Model 44: llik = -14604.31 ... best llik = -14604.31
## Model 45: llik = -14604.51 ... best llik = -14604.31
## Model 46: llik = -14604.31 ... best llik = -14604.31
## Model 47: llik = -14604.31 ... best llik = -14604.31
## Model 48: llik = -14639.29 ... best llik = -14604.31
## Model 49: llik = -14604.34 ... best llik = -14604.31
## Model 50: llik = -14604.31 ... best llik = -14604.31
## Model 51: llik = -14604.44 ... best llik = -14604.31
## Model 52: llik = -14604.31 ... best llik = -14604.31
## Model 53: llik = -14637.62 ... best llik = -14604.31
## Model 54: llik = -14605.47 ... best llik = -14604.31
## Model 55: llik = -14604.31 ... best llik = -14604.31
## Model 56: llik = -14604.31 ... best llik = -14604.31
## Model 57: llik = -14604.31 ... best llik = -14604.31
## Model 58: llik = -14604.31 ... best llik = -14604.31
## Model 59: llik = -14604.31 ... best llik = -14604.31
## Model 60: llik = -14604.31 ... best llik = -14604.31
## Model 61: llik = -14604.31 ... best llik = -14604.31
## Model 62: llik = -14605.82 ... best llik = -14604.31
## Model 63: llik = -14604.5 ... best llik = -14604.31
## Model 64: llik = -14604.31 ... best llik = -14604.31
## Model 65: llik = -14604.31 ... best llik = -14604.31
## Model 66: llik = -14647 ... best llik = -14604.31
## Model 67: llik = -14644.81 ... best llik = -14604.31
## Model 68: llik = -14604.31 ... best llik = -14604.31
## Model 69: llik = -14605.04 ... best llik = -14604.31
## Model 70: llik = -14610.21 ... best llik = -14604.31
## Model 71: llik = -14604.45 ... best llik = -14604.31
## Model 72: llik = -14606.14 ... best llik = -14604.31
## Model 73: llik = -14604.31 ... best llik = -14604.31
## Model 74: llik = -14604.31 ... best llik = -14604.31
## Model 75: llik = -14637.62 ... best llik = -14604.31
## Model 76: llik = -14604.31 ... best llik = -14604.31
## Model 77: llik = -14610.19 ... best llik = -14604.31
## Model 78: llik = -14604.31 ... best llik = -14604.31
## Model 79: llik = -14607.33 ... best llik = -14604.31
## Model 80: llik = -14604.31 ... best llik = -14604.31
## Model 81: llik = -14621.55 ... best llik = -14604.31
## Model 82: llik = -14604.31 ... best llik = -14604.31
## Model 83: llik = -14608.57 ... best llik = -14604.31
## Model 84: llik = -14605.16 ... best llik = -14604.31
## Model 85: llik = -14610.21 ... best llik = -14604.31
## Model 86: llik = -14627.13 ... best llik = -14604.31
## Model 87: llik = -14604.31 ... best llik = -14604.31
## Model 88: llik = -14604.31 ... best llik = -14604.31
## Model 89: llik = -14604.31 ... best llik = -14604.31
## Model 90: llik = -14604.31 ... best llik = -14604.31
## Model 91: llik = -14609.04 ... best llik = -14604.31
## Model 92: llik = -14605.48 ... best llik = -14604.31
## Model 93: llik = -14604.31 ... best llik = -14604.31
## Model 94: llik = -14604.31 ... best llik = -14604.31
## Model 95: llik = -14604.31 ... best llik = -14604.31
## Model 96: llik = -14604.31 ... best llik = -14604.31
## Model 97: llik = -14604.31 ... best llik = -14604.31
## Model 98: llik = -14604.31 ... best llik = -14604.31
## Model 99: llik = -14607.25 ... best llik = -14604.31
## Model 100: llik = -14604.31 ... best llik = -14604.31
## Conditional item response (column) probabilities,
## by outcome variable, for each class (row)
##
## $aAcupuncture
## Pr(1) Pr(2)
## class 1: 0.9649 0.0351
## class 2: 0.9899 0.0101
## class 3: 0.9974 0.0026
## class 4: 0.7702 0.2298
## class 5: 0.8474 0.1526
## class 6: 1.0000 0.0000
##
## $aBiofeedback
## Pr(1) Pr(2)
## class 1: 0.9167 0.0833
## class 2: 0.9890 0.0110
## class 3: 0.9990 0.0010
## class 4: 0.8492 0.1508
## class 5: 0.9932 0.0068
## class 6: 0.9960 0.0040
##
## $aChiropractic
## Pr(1) Pr(2)
## class 1: 0.7788 0.2212
## class 2: 0.5859 0.4141
## class 3: 0.9218 0.0782
## class 4: 0.4885 0.5115
## class 5: 0.6808 0.3192
## class 6: 0.9889 0.0111
##
## $aEnergyHeal
## Pr(1) Pr(2)
## class 1: 0.8769 0.1231
## class 2: 0.9897 0.0103
## class 3: 1.0000 0.0000
## class 4: 0.4695 0.5305
## class 5: 0.9334 0.0666
## class 6: 0.9983 0.0017
##
## $aExerciseMove
## Pr(1) Pr(2)
## class 1: 0.4253 0.5747
## class 2: 0.4439 0.5561
## class 3: 0.9509 0.0491
## class 4: 0.1249 0.8751
## class 5: 0.6577 0.3423
## class 6: 0.5540 0.4460
##
## $aHerbal
## Pr(1) Pr(2)
## class 1: 0.8682 0.1318
## class 2: 0.9433 0.0567
## class 3: 0.9977 0.0023
## class 4: 0.1071 0.8929
## class 5: 0.3777 0.6223
## class 6: 0.9443 0.0557
##
## $aVitamins
## Pr(1) Pr(2)
## class 1: 0.8718 0.1282
## class 2: 0.9499 0.0501
## class 3: 0.9902 0.0098
## class 4: 0.4287 0.5713
## class 5: 0.6681 0.3319
## class 6: 0.8888 0.1112
##
## $aHomeopathy
## Pr(1) Pr(2)
## class 1: 0.9719 0.0281
## class 2: 0.9964 0.0036
## class 3: 0.9992 0.0008
## class 4: 0.3516 0.6484
## class 5: 0.6393 0.3607
## class 6: 0.9839 0.0161
##
## $aHypnosis
## Pr(1) Pr(2)
## class 1: 0.8913 0.1087
## class 2: 1.0000 0.0000
## class 3: 0.9959 0.0041
## class 4: 0.8741 0.1259
## class 5: 0.9589 0.0411
## class 6: 0.9873 0.0127
##
## $aImageryTech
## Pr(1) Pr(2)
## class 1: 0.5713 0.4287
## class 2: 0.9930 0.0070
## class 3: 0.9984 0.0016
## class 4: 0.3861 0.6139
## class 5: 0.9805 0.0195
## class 6: 0.9859 0.0141
##
## $aMassage
## Pr(1) Pr(2)
## class 1: 0.5851 0.4149
## class 2: 0.4879 0.5121
## class 3: 0.9951 0.0049
## class 4: 0.3071 0.6929
## class 5: 0.6900 0.3100
## class 6: 1.0000 0.0000
##
## $aRelaxMeditate
## Pr(1) Pr(2)
## class 1: 0.0000 1.0000
## class 2: 0.8719 0.1281
## class 3: 0.9564 0.0436
## class 4: 0.0551 0.9449
## class 5: 0.6399 0.3601
## class 6: 0.7691 0.2309
##
## $aSpecialDiet
## Pr(1) Pr(2)
## class 1: 0.7131 0.2869
## class 2: 0.8450 0.1550
## class 3: 0.9660 0.0340
## class 4: 0.3058 0.6942
## class 5: 0.7618 0.2382
## class 6: 0.5777 0.4223
##
## Estimated class population shares
## 0.0435 0.0873 0.7244 0.0123 0.0319 0.1007
##
## Predicted class memberships (by modal posterior prob.)
## 0.0427 0.0607 0.804 0.0113 0.0261 0.0552
##
## =========================================================
## Fit for 6 latent classes:
## =========================================================
## number of observations: 6177
## number of estimated parameters: 83
## residual degrees of freedom: 6094
## maximum log-likelihood: -14604.31
##
## AIC(6): 29374.62
## BIC(6): 29933.09
## G^2(6): 1200.599 (Likelihood ratio/deviance statistic)
## X^2(6): 9884.158 (Chi-square goodness of fit)
##
## Model AIC BIC MaxLogLikelihood LikelihoodRatio Entropy
## 1 Model 1 33826.39 33913.86 -16900.19 5792.373 NaN
## 2 Model 2 30109.64 30291.31 -15027.82 2047.618 0.734
## 3 Model 3 29716.58 29992.46 -14817.29 1626.566 0.574
## 4 Model 4 29537.86 29907.93 -14713.93 1419.839 0.593
## 5 Model 5 29443.84 29908.11 -14652.92 1297.820 0.571
## 6 Model 6 29374.62 29933.09 -14604.31 1200.599 0.580
## PropInSmallestClass
## 1 100.000000
## 2 13.703704
## 3 4.315303
## 4 2.102165
## 5 2.084104
## 6 1.226270