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 exp(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 gen4exp1.dat


*** STATISTICS ***

  Number of iterations = 72
  Converge criterion   = 0.0000007898
  Seed random values   = 5215

  X-squared            = 3114.2425 (0.0000)
  L-squared            = 3150.9510 (0.0000)
  Cressie-Read         = 3125.1687 (0.0000)
  Dissimilarity index  = 0.0209
  Degrees of freedom   = 7
  Log-likelihood       = -2206131.34298
  Number of parameters = 8 (+1)
  Sample size          = 1000000.0
  BIC(L-squared)       = 3054.2424
  AIC(L-squared)       = 3136.9510
  BIC(log-likelihood)  = 4412373.2100
  AIC(log-likelihood)  = 4412278.6860

WARNING: no information is provided on identification of parameters



*** FREQUENCIES ***

  A B C D     observed  estimated  std. res.
  1 1 1 1   11509.664  14363.919    -23.815
  1 1 1 2   53030.991  53706.244     -2.914
  1 1 2 1   22404.420  21784.328      4.201
  1 1 2 2  124239.930 121452.320      7.999
  1 2 1 1    9649.856   9083.833      5.939
  1 2 1 2   48891.256  45984.545     13.555
  1 2 2 1   19925.670  18122.092     13.398
  1 2 2 2  131637.580 136792.056    -13.937
  2 1 1 1    6493.986   5144.895     18.808
  2 1 1 2   40510.749  37994.678     12.908
  2 1 2 1   15213.978  14444.805      6.400
  2 1 2 2  154549.960 159062.479    -11.314
  2 2 1 1    5987.049   5190.617     11.054
  2 2 1 2   47293.848  51898.664    -20.213
  2 2 2 1   16119.867  19170.000    -22.030
  2 2 2 2  292541.200 285804.527     12.601



*** LOG-LINEAR PARAMETERS ***

* TABLE ABCD [or P(ABCD)] *

  effect           beta   exp(beta)
  main          10.3827  3.23E+0004 
  A 
   1             0.0725      1.0752 
   2            -0.0725      0.9301 
  B 
   1            -0.0319      0.9686 
   2             0.0319      1.0325 
  C 
   1            -0.5306      0.5882 
   2             0.5306      1.7000 
  D 
   1            -1.0052      0.3660 
   2             1.0052      2.7324 

  type 2 association (row=A column=B)
  association    1.0000
  row            0.5121  -0.5121
  adj row        0.5121  -0.5121
  column         0.2280  -0.2280
  adj column     0.2280  -0.2280

  type 2 association (row=A column=C)
  association    1.0000
  row            0.5121  -0.5121
  adj row        0.5121  -0.5121
  column         0.3006  -0.3006
  adj column     0.3006  -0.3006

  type 2 association (row=A column=D)
  association    1.0000
  row            0.5121  -0.5121
  adj row        0.5121  -0.5121
  column         0.3322  -0.3322
  adj column     0.3322  -0.3322

  type 2 association (row=B column=C)
  association    1.0000
  row            0.2280  -0.2280
  adj row        0.2280  -0.2280
  column         0.3006  -0.3006
  adj column     0.3006  -0.3006

  type 2 association (row=B column=D)
  association    1.0000
  row            0.2280  -0.2280
  adj row        0.2280  -0.2280
  column         0.3322  -0.3322
  adj column     0.3322  -0.3322

  type 2 association (row=C column=D)
  association    1.0000
  row            0.3006  -0.3006
  adj row        0.3006  -0.3006
  column         0.3322  -0.3322
  adj column     0.3322  -0.3322