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📄 logistic_regression_likelihood.m

📁 similer program for matlab
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## Copyright (C) 1995, 1996, 1997, 1998, 1999, 2000, 2002, 2005, 2007##               Kurt Hornik#### This file is part of Octave.#### Octave 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 3 of the License, or (at## your option) any later version.#### Octave 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 Octave; see the file COPYING.  If not, see## <http://www.gnu.org/licenses/>.## -*- texinfo -*-## @deftypefn {Function File} {[@var{g}, @var{g1}, @var{p}, @var{dev}] =} logistic_regression_likelihood (@var{y}, @var{x}, @var{beta}, @var{z}, @var{z1})## Calculates likelihood for the ordinal logistic regression model.## Called by logistic_regression.## @end deftypefn## Author: Gordon K. Smyth <gks@maths.uq.oz.au>## Adapted-By: KH <Kurt.Hornik@wu-wien.ac.at>## Description: Likelihood in logistic regressionfunction [g, g1, p, dev] = logistic_regression_likelihood (y, x, beta, z, z1)  if (nargin != 5)    print_usage ();  endif  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));endfunction

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