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Laird-Ware Random Effects Model 1.0

  Date Added: May 27, 2013  |  Visits: 200

Laird-Ware Random Effects Model

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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.

Requirements: No special requirements
Platforms: Matlab
Keyword: Covariance Distribution Identitcal Independent Matrix Multivariate Normal Random Variables Variance
Users rating: 0/10

License: Shareware Size: 10 KB
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