TITLE:
  Ch 4: Empty Means, Random Intercept in G
  1-Lag Toeplitz R

DATA:
  FILE = MPLUS_Chapter4.csv;
  FORMAT = FREE;

DATA LONGTOWIDE:
  LONG = posmood;
  WIDE = posmood1-posmood7;
  IDVARIABLE = PersonID;
  REPETITION = studyday (1-7);

VARIABLE:
  NAMES = PersonID studyday posmood;
  USEVARIABLES = posmood1-posmood7;
  MISSING = ALL (-9999);

ANALYSIS:
  ESTIMATOR = ML;
  PROCESSORS = 4;

OUTPUT:
  STDYX;

MODEL:
  RandInt BY posmood1-posmood7@1;
  RandInt (intvar);
  posmood1-posmood7 (resvar);
  posmood1-posmood6 PWITH posmood2-posmood7 (rescov1-rescov6);
  %%STR([posmood1-posmood7@0 RandInt]);

MODEL CONSTRAINT:
  NEW(TOEPcor1);
! Residual Covariance for Studyday 1 and 2
  rescov1 = TOEPcor1*SQRT(resvar)*SQRT(resvar);
! Residual Covariance for Studyday 2 and 3
  rescov2 = TOEPcor1*SQRT(resvar)*SQRT(resvar);
! Residual Covariance for Studyday 3 and 4
  rescov3 = TOEPcor1*SQRT(resvar)*SQRT(resvar);
! Residual Covariance for Studyday 4 and 5
  rescov4 = TOEPcor1*SQRT(resvar)*SQRT(resvar);
! Residual Covariance for Studyday 5 and 6
  rescov5 = TOEPcor1*SQRT(resvar)*SQRT(resvar);
! Residual Covariance for Studyday 6 and 7
  rescov6 = TOEPcor1*SQRT(resvar)*SQRT(resvar);