LEM: log-linear and event history analysis with missing data.
Developed by Jeroen K. Vermunt (c), Tilburg University, The Netherlands.
Version 1.2 (July 10, 1998).


*** INPUT ***

  * Generated probabilities from 2PL with theta normal(0,1)
  *
  *  a2= 1.7  b2= -1.05; 
  *  a3=  .7  b3= -.35; 
  *  a4= 1.2  b4=  .35; 
  *  a5= 1.7  b5= 1.05; 
  *
  man 4
  dim 2 2 2 2 
  lab A B C D 
  mod { A B C D 
       ass2(A,B,5a,a) ass2(A,C,5a,a) ass2(A,D,5a,a) 
                      ass2(B,C,5a,a) ass2(B,D,5a,a) 
                                     ass2(C,D,5a,a)  } ran
  ass_equ [ 1 2  1 3  1 4 
                2 3  2 4  
                     3 4  ]
  ass_res [ 2 2  2 2  2 2 
                2 2  2 2  
                     2 2 ]
  ass_phi [ 1 1 1    1 1    1   ]
  nco
  
  dat gen4normal.dat


*** STATISTICS ***

  Number of iterations = 45
  Converge criterion   = 0.0000007511
  Seed random values   = 5058

  X-squared            = 14.1341 (0.0488)
  L-squared            = 14.1339 (0.0489)
  Cressie-Read         = 14.1340 (0.0488)
  Dissimilarity index  = 0.0017
  Degrees of freedom   = 7
  Log-likelihood       = -2511254.08574
  Number of parameters = 8 (+1)
  Sample size          = 1000000.2
  BIC(L-squared)       = -82.5747
  AIC(L-squared)       = 0.1339
  BIC(log-likelihood)  = 5022618.6956
  AIC(log-likelihood)  = 5022524.1715

WARNING: no information is provided on identification of parameters



*** FREQUENCIES ***

  A B C D     observed  estimated  std. res.
  1 1 1 1  137147.060 137048.003      0.268
  1 1 1 2  102958.650 103292.471     -1.039
  1 1 2 1   66209.509  66421.171     -0.821
  1 1 2 2  120662.420 120117.020      1.574
  1 2 1 1   47507.868  47594.416     -0.397
  1 2 1 2   60340.355  60047.110      1.197
  1 2 2 1   33473.271  33295.282      0.975
  1 2 2 2  100307.180 100790.795     -1.523
  2 1 1 1   12607.949  12607.047      0.008
  2 1 1 2   32785.287  32622.760      0.900
  2 1 2 1   14775.889  14712.582      0.522
  2 1 2 2   91022.155  91347.842     -1.078
  2 2 1 1    7389.064   7344.177      0.524
  2 2 1 2   31631.731  31811.971     -1.011
  2 2 2 1   12283.259  12371.191     -0.791
  2 2 2 2  128898.530 128576.339      0.899



*** LOG-LINEAR PARAMETERS ***

* TABLE ABCD [or P(ABCD)] *

  effect           beta   exp(beta)
  main          10.6994  4.43E+0004 
  A 
   1             0.5356      1.7086 
   2            -0.5356      0.5853 
  B 
   1             0.1789      1.1960 
   2            -0.1789      0.8362 
  C 
   1            -0.1681      0.8453 
   2             0.1681      1.1830 
  D 
   1            -0.5146      0.5977 
   2             0.5146      1.6730 

  type 2 association (row=A column=B)
  association    1.0000
  row           -0.5564   0.5564
  adj row       -0.5564   0.5564
  column        -0.2324   0.2324
  adj column    -0.2324   0.2324

  type 2 association (row=A column=C)
  association    1.0000
  row           -0.5564   0.5564
  adj row       -0.5564   0.5564
  column        -0.3948   0.3948
  adj column    -0.3948   0.3948

  type 2 association (row=A column=D)
  association    1.0000
  row           -0.5564   0.5564
  adj row       -0.5564   0.5564
  column        -0.5542   0.5542
  adj column    -0.5542   0.5542

  type 2 association (row=B column=C)
  association    1.0000
  row           -0.2324   0.2324
  adj row       -0.2324   0.2324
  column        -0.3948   0.3948
  adj column    -0.3948   0.3948

  type 2 association (row=B column=D)
  association    1.0000
  row           -0.2324   0.2324
  adj row       -0.2324   0.2324
  column        -0.5542   0.5542
  adj column    -0.5542   0.5542

  type 2 association (row=C column=D)
  association    1.0000
  row           -0.3948   0.3948
  adj row       -0.3948   0.3948
  column        -0.5542   0.5542
  adj column    -0.5542   0.5542