X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fm%2Fstatistics%2Fbase%2Fgls.m;fp=octave_packages%2Fm%2Fstatistics%2Fbase%2Fgls.m;h=5bfc4e429df482eedb526b97794629d659081e30;hp=0000000000000000000000000000000000000000;hb=1c0469ada9531828709108a4882a751d2816994a;hpb=63de9f36673d49121015e3695f2c336ea92bc278

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+## Copyright (C) 1996-2012 John W. Eaton
+##
+## 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{beta}, @var{v}, @var{r}] =} gls (@var{y}, @var{x}, @var{o})
+## Generalized least squares estimation for the multivariate model
+## @tex
+## $y = x b + e$
+## with $\bar{e} = 0$ and cov(vec($e$)) = $(s^2)o$,
+## @end tex
+## @ifnottex
+## @w{@math{y = x*b + e}} with @math{mean (e) = 0} and
+## @math{cov (vec (e)) = (s^2) o},
+## @end ifnottex
+##  where
+## @tex
+## $y$ is a $t \times p$ matrix, $x$ is a $t \times k$ matrix, $b$ is a $k
+## \times p$ matrix, $e$ is a $t \times p$ matrix, and $o$ is a $tp \times
+## tp$ matrix.
+## @end tex
+## @ifnottex
+## @math{y} is a @math{t} by @math{p} matrix, @math{x} is a @math{t} by
+## @math{k} matrix, @math{b} is a @math{k} by @math{p} matrix, @math{e}
+## is a @math{t} by @math{p} matrix, and @math{o} is a @math{t*p} by
+## @math{t*p} matrix.
+## @end ifnottex
+##
+## @noindent
+## Each row of @var{y} and @var{x} is an observation and each column a
+## variable.  The return values @var{beta}, @var{v}, and @var{r} are
+## defined as follows.
+##
+## @table @var
+## @item beta
+## The GLS estimator for @math{b}.
+##
+## @item v
+## The GLS estimator for @math{s^2}.
+##
+## @item r
+## The matrix of GLS residuals, @math{r = y - x*beta}.
+## @end table
+## @seealso{ols}
+## @end deftypefn
+
+## Author: Teresa Twaroch <twaroch@ci.tuwien.ac.at>
+## Created: May 1993
+## Adapted-By: jwe
+
+function [beta, v, r] = gls (y, x, o)
+
+  if (nargin != 3)
+    print_usage ();
+  endif
+
+  if (! (isnumeric (x) && isnumeric (y) && isnumeric (o)))
+    error ("gls: X, Y, and O must be numeric matrices or vectors");
+  endif
+
+  if (ndims (x) != 2 || ndims (y) != 2 || ndims (o) != 2)
+    error ("gls: X, Y and O must be 2-D matrices or vectors");
+  endif
+
+  [rx, cx] = size (x);
+  [ry, cy] = size (y);
+  [ro, co] = size (o);
+  if (rx != ry)
+    error ("gls: number of rows of X and Y must be equal");
+  endif
+  if (!issquare (o) || ro != ry*cy)
+    error ("gls: matrix O must be square matrix with rows = rows (Y) * cols (Y)");
+  endif
+
+  if (isinteger (x))
+    x = double (x);
+  endif
+  if (isinteger (y))
+    y = double (y);
+  endif
+  if (isinteger (o))
+    o = double (o);
+  endif
+
+  ## Start of algorithm
+  o = o^(-1/2);
+  z = kron (eye (cy), x);
+  z = o * z;
+  y1 = o * reshape (y, ry*cy, 1);
+  u = z' * z;
+  r = rank (u);
+
+  if (r == cx*cy)
+    b = inv (u) * z' * y1;
+  else
+    b = pinv (z) * y1;
+  endif
+
+  beta = reshape (b, cx, cy);
+
+  if (isargout (2) || isargout (3))
+    r = y - x * beta;
+    if (isargout (2))
+      v = (reshape (r, ry*cy, 1))' * (o^2) * reshape (r, ry*cy, 1) / (rx*cy - r);
+    endif
+  endif
+
+endfunction
+
+
+%!test
+%! x = [1:5]';
+%! y = 3*x + 2;
+%! x = [x, ones(5,1)];
+%! o = diag (ones (5,1));
+%! assert (gls (y,x,o), [3; 2], 50*eps);
+
+%% Test input validation
+%!error gls ()
+%!error gls (1)
+%!error gls (1, 2)
+%!error gls (1, 2, 3, 4)
+%!error gls ([true, true], [1, 2], ones (2))
+%!error gls ([1, 2], [true, true], ones (2))
+%!error gls ([1, 2], [1, 2], true (2))
+%!error gls (ones (2,2,2), ones (2,2), ones (4,4))
+%!error gls (ones (2,2), ones (2,2,2), ones (4,4))
+%!error gls (ones (2,2), ones (2,2), ones (4,4,4))
+%!error gls (ones(1,2), ones(2,2), ones (2,2))
+%!error gls (ones(2,2), ones(2,2), ones (2,2))
+