Fisher information matrix for multivariate normal regression model
Fisher = ecmmvnrfish(Data, Design, Covariance, Method,
MatrixFormat, CovarFormat)


 A matrix or a cell array that handles two model structures:



 (Optional) Character vector that identifies method of calculation for the information matrix:

 (Optional) Character vector that identifies parameters to be included in the Fisher information matrix:

 (Optional) Character vector that specifies the format for the covariance matrix. The choices are:

Fisher = ecmmvnrfish(Data, Design, Covariance, Method,
MatrixFormat, CovarFormat)
computes a Fisher information
matrix based on current maximum likelihood or leastsquares parameter
estimates that account for missing data.
Fisher
is a NUMPARAMS
byNUMPARAMS
Fisher
information matrix or Hessian matrix. The size of NUMPARAMS
depends
on MatrixFormat
and on current parameter estimates.
If MatrixFormat = 'full'
,
NUMPARAMS = NUMSERIES * (NUMSERIES + 3)/2
If MatrixFormat = 'paramonly'
,
NUMPARAMS = NUMSERIES
Note

See Multivariate Normal Regression, LeastSquares Regression, CovarianceWeighted Least Squares, Feasible Generalized Least Squares, and Seemingly Unrelated Regression.