Mercurial > hg > octave-nkf
diff scripts/statistics/models/logistic_regression_likelihood.m @ 3426:f8dde1807dee
[project @ 2000-01-13 08:40:00 by jwe]
author | jwe |
---|---|
date | Thu, 13 Jan 2000 08:40:53 +0000 |
parents | 041ea33fbbf4 |
children | d8b731d3f7a3 |
line wrap: on
line diff
--- a/scripts/statistics/models/logistic_regression_likelihood.m +++ b/scripts/statistics/models/logistic_regression_likelihood.m @@ -1,34 +1,34 @@ ## 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. -## +## 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. ## Calculates likelihood for the ordinal logistic regression model. ## Called by logistic_regression. - + ## Author: Gordon K. Smyth <gks@maths.uq.oz.au> ## Adapted-By: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: Likelihood in logistic regression function [g, g1, p, dev] ... = logistic_regression_likelihood (y, x, beta, z, z1) - + e = exp ([z, x] * beta); e1 = exp ([z1, x] * beta); g = e ./ (1 + e); g1 = e1 ./ (1 + e1); g = max (y == max (y), g); g1 = min (y > min(y), g1); - + p = g - g1; - dev = -2 * sum (log (p)); + dev = -2 * sum (log (p)); endfunction