TITLE: Figuring out the likelihood by hand
NGroups 1
Calculation

!Declare matrices here
 Begin Matrices;	
			! After MATRIX letter, specify type of matrix i.e. FULL or SYMMETRIC and matrix DIMENSIONS
  E 			! Expected Covariance Matrix 
  H 			! 
  T 			! 
  M 			! Mean vector 
  P 			! Pi
  X 			! Observed Data
End Matrices;

! Declare matrix values here
 Matrix E 		
	!Place values for MATRIX E here
 Matrix H		
	!Place values for MATRIX H here
 	
	!Input other matrices and values here

Begin Algebra;
 O=		! Fractional part: 	2*pi*sqrt(det(e))					(5.4414)
 Q=		! Mahalanobis distance:	(indiv score - mean)’ & inverse of covariance matrix	(0.6533)
 R=		! e to the power -.5 * Mahalanobis distance 					(0.7213)
 S=-T*\ln(R%O);	! minus twice log-likelihood							(4.0414)
 Z=-T*\ln(\pdfnor(X'_M'_E));	! an easier way							(4.0414)

End Algebra;

End Group;