/usr/share/dynare/matlab/gsa/smirnov.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | function [H,prob,d] = smirnov(x1 , x2 , alpha, iflag )
% Smirnov test for 2 distributions
% [H,prob,d] = smirnov(x1 , x2 , alpha, iflag )
%
% Written by Marco Ratto
% Joint Research Centre, The European Commission,
% (http://eemc.jrc.ec.europa.eu/),
% marco.ratto@jrc.it
%
% Reference:
% M. Ratto, Global Sensitivity Analysis for Macroeconomic models, MIMEO, 2006.
% Copyright (C) 2012 Dynare Team
%
% This file is part of Dynare.
%
% Dynare 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.
%
% Dynare 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 Dynare. If not, see <http://www.gnu.org/licenses/>.
if nargin<3
alpha = 0.05;
end
if nargin<4,
iflag=0;
end
% empirical cdfs.
xmix= [x1;x2];
bin = [-inf ; sort(xmix) ; inf];
ncount1 = histc (x1 , bin);
ncount1 = ncount1(:);
ncount2 = histc (x2 , bin);
ncount2 = ncount2(:);
cum1 = cumsum(ncount1)./sum(ncount1);
cum1 = cum1(1:end-1);
cum2 = cumsum(ncount2)./sum(ncount2);
cum2 = cum2(1:end-1);
n1= length(x1);
n2= length(x2);
n = n1*n2 /(n1+n2);
% Compute the d(n1,n2) statistics.
if iflag==0,
d = max(abs(cum1 - cum2));
elseif iflag==-1
d = max(cum2 - cum1);
elseif iflag==1
d = max(cum1 - cum2);
end
%
% Compute P-value check H0 hypothesis
%
lam = max((sqrt(n) + 0.12 + 0.11/sqrt(n)) * d , 0);
if iflag == 0
j = [1:101]';
prob = 2 * sum((-1).^(j-1).*exp(-2*lam*lam*j.^2));
prob=max(prob,0);
prob=min(1,prob);
else
prob = exp(-2*lam*lam);
end
H = (alpha >= prob);
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