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- ## Copyright (C) 1995, 1996, 1997 Kurt Hornik
- ##
- ## This program is free software; you can redistribute it and/or modify
- ## it under the terms of the GNU General Public License as published by
- ## the Free Software Foundation; either version 2, or (at your option)
- ## any later version.
- ##
- ## This program is distributed in the hope that it will be useful, but
- ## WITHOUT ANY WARRANTY; without even the implied warranty of
- ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- ## General Public License for more details.
- ##
- ## You should have received a copy of the GNU General Public License
- ## along with this file. If not, write to the Free Software Foundation,
- ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
-
- ## Called by logistic_regression. Calculates derivates of the
- ## log-likelihood for ordinal logistic regression model.
-
- ## Author: Gordon K. Smyth <gks@maths.uq.oz.au>
- ## Adapted-By: KH <Kurt.Hornik@ci.tuwien.ac.at>
- ## Description: Derivates of log-likelihood in logistic regression
-
- function [dl, d2l] ...
- = logistic_regression_derivatives (x, z, z1, g, g1, p)
-
- ## first derivative
- v = g .* (1 - g) ./ p; v1 = g1 .* (1 - g1) ./ p;
- dlogp = [(dmult (v, z) - dmult (v1, z1)), (dmult (v - v1, x))];
- dl = sum (dlogp)';
-
- ## second derivative
- w = v .* (1 - 2 * g); w1 = v1 .* (1 - 2 * g1);
- d2l = [z, x]' * dmult (w, [z, x]) - [z1, x]' * dmult (w1, [z1, x]) ...
- - dlogp' * dlogp;
-
- endfunction