function [proba, dproba] = stab_map_1(lpmat, ibehaviour, inonbehaviour, aname, iplot, ipar, dirname, pcrit, atitle) %function [proba, dproba] = stab_map_1(lpmat, ibehaviour, inonbehaviour, aname, iplot, ipar, dirname, pcrit) % % lpmat = Monte Carlo matrix % ibehaviour = index of behavioural runs % inonbehaviour = index of non-behavioural runs % aname = label of the analysis % iplot = 1 plot cumulative distributions (default) % iplot = 0 no plots % ipar = index array of parameters to plot % dirname = (OPTIONAL) path of the directory where to save % (default: current directory) % pcrit = (OPTIONAL) critical value of the pvalue below which show the plots % % Plots: dotted lines for BEHAVIOURAL % solid lines for NON BEHAVIOURAL % USES smirnov % % 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) 2012-2013 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 . global estim_params_ bayestopt_ M_ options_ if nargin<5, iplot=1; end fname_ = M_.fname; if nargin<7, dirname=''; end if nargin<9, atitle=aname; end nshock = estim_params_.nvx; nshock = nshock + estim_params_.nvn; nshock = nshock + estim_params_.ncx; nshock = nshock + estim_params_.ncn; npar=size(lpmat,2); ishock= npar>estim_params_.np; if nargin<6, ipar=[]; end if nargin<8 || isempty(pcrit), pcrit=1; end % Smirnov test for Blanchard; for j=1:npar, [H,P,KSSTAT] = smirnov(lpmat(ibehaviour,j),lpmat(inonbehaviour,j)); proba(j)=P; dproba(j)=KSSTAT; end if isempty(ipar), % ipar=find(dproba>dcrit); ipar=find(proba