lyngby_lzgs_main - Lange-Zeger model with grid search
function Theta = lyngby_lzgs_main(P, X,...
'PropertyName', 'PropertyValue')
Input: P The paradigm
X The datamatrix
Property: MinTheta1 Min minimum value of theta1
MaxTheta1 Min maximum value of theta1
NumTheta1 Number of theta1 value in the search
MinSlope Min minimum value of slope in the search
MaxSlope Min maximum value of slope in the search
NumSlope Number of theta1 slope in the search
Reg Regularization weight on the value of the
excitation Beta
Zoom How many times should the search be
refined using a small search window
around the optimal point using the same
number of samples again.
Output: Theta The result from the Lange-Zeger model
with the order [ Beta : Theta1 ; Theta2 ]
Main function for Lange Zeger model using penalized grid
search of parameters: The search is made in theta1 and slope,
where slope = (theta1-1)/theta2
See also LYNGBY, LYNGBY_LZGS_SEARCH, LYNGBY_LZIT_MAIN.
$Id: lyngby_lzgs_main.m,v 1.4 2003/04/28 15:22:19 fnielsen Exp $