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1 ## Copyright (C) 1995, 1996, 1997 Kurt Hornik |
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2 ## |
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3 ## This program is free software; you can redistribute it and/or modify |
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4 ## it under the terms of the GNU General Public License as published by |
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5 ## the Free Software Foundation; either version 2, or (at your option) |
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6 ## any later version. |
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7 ## |
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8 ## This program is distributed in the hope that it will be useful, but |
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9 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
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10 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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11 ## General Public License for more details. |
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12 ## |
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13 ## You should have received a copy of the GNU General Public License |
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14 ## along with this file. If not, write to the Free Software Foundation, |
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15 ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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16 |
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17 ## -*- texinfo -*- |
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18 ## @deftypefn {Function File} {[@var{dl}, @var{d2l}] =} logistic_regression_derivatives (@var{x}, @var{z}, @var{z1}, @var{g}, @var{g1}, @var{p}) |
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19 ## Called by logistic_regression. Calculates derivates of the |
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20 ## log-likelihood for ordinal logistic regression model. |
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21 ## @end deftypefn |
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22 |
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23 ## Author: Gordon K. Smyth <gks@maths.uq.oz.au> |
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24 ## Adapted-By: KH <Kurt.Hornik@ci.tuwien.ac.at> |
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25 ## Description: Derivates of log-likelihood in logistic regression |
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26 |
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27 function [dl, d2l] = logistic_regression_derivatives (x, z, z1, g, g1, p) |
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28 |
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29 ## first derivative |
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30 v = g .* (1 - g) ./ p; v1 = g1 .* (1 - g1) ./ p; |
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31 dlogp = [(dmult (v, z) - dmult (v1, z1)), (dmult (v - v1, x))]; |
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32 dl = sum (dlogp)'; |
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33 |
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34 ## second derivative |
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35 w = v .* (1 - 2 * g); w1 = v1 .* (1 - 2 * g1); |
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36 d2l = [z, x]' * dmult (w, [z, x]) - [z1, x]' * dmult (w1, [z1, x]) ... |
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37 - dlogp' * dlogp; |
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38 |
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39 endfunction |