Laird-Ware Random Effects Model (Scripts) Publisher's description
from david schoenfeld
Fits the Laird-Ware Linear Random Effects Model
Fits the Laird-Ware Linear Random Effects Model. This model assumes that for each subject y=x*b+z*g+e where x and z are known m x p and m x r matricies, b is p x 1 parameter vector and g is a r vector which has a multivariate normal distribution with mean zero, e is a vector of identitcal independent normal mean zero random variables. The purpose is to estimate b, the variance covariance matrix of g and the variance of e.
System Requirements:MATLAB 7 (R14)
Program Release Status: New Release
Program Install Support: Install and Uninstall