lyngby_lzit_main

(export/lyngby/lyngby_lzit_main.m)

Function Synopsis

Result = lyngby_lzit_main(Pa, X, arg1, arg2, arg3, arg4, ...

Help text

 lyngby_lzit_main     - Main function for Lange-Zeger estimation

       function Result = lyngby_lzit_main(P, Y, 'PropertyName',
          'PropertyValue'); 

       Input:    P   Paradigm
                 Y   Normalized data matrix

       Property: Iterations   { 90 } The number iterations
                 MinChange    { 1e-4 } Stopcriterion for the
                              iteration
                 StepSize     { 1 } Gradient descent stepsize
                 Theta1Init   { 10 } Initialization of theta1.
                 Theta2Init   { 2 } Initialization of theta2.

       Output:   Result    Estimated parameters in matrix 3xN 
                           [beta; theta1; theta2]'

       Fitting of a gamma kernel for each voxel in the Fourier domain.
       This function makes some initialization before iterating: 
       for every voxel calling lyngby_lzit_algo to do the actual fitting.

       Ref: Lange, Zeger (1997), Roy Stat Soc, Appl Stat. 44.

       See also LYNGBY, LYNGBY_LZGS_MAIN, LYNGBY_LZIT_ALGO,
                LYNGBY_LZITPICKF, LYNGBY_LZIT_FTLAMB,
                LYNGBY_LZIT_THOPT, LYNGBY_LZIT_NOISE,
                LYNGBY_LZIT_BETA. 

 $Id: lyngby_lzit_main.m,v 1.8 2003/02/12 20:06:49 fnielsen Exp $

Cross-Reference Information

lyngby_log     export/lyngby/lyngby_log.m
lyngby_lzit_algoexport/lyngby/lyngby_lzit_algo.m
lyngby_lzit_pickfexport/lyngby/lyngby_lzit_pickf.m
lyngby_mod     export/lyngby/lyngby_mod.m

lyngby_uis_lzitexport/lyngby/lyngby_uis_lzit.m