function [proba, dproba] = stab_map_1(lpmat, ibehaviour, inonbehaviour, aname, iplot, ipar, dirname, pcrit)
%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
%
% Part of the Sensitivity Analysis Toolbox for DYNARE
%
% Written by Marco Ratto, 2006
% Joint Research Centre, The European Commission,
% (http://eemc.jrc.ec.europa.eu/),
% marco.ratto@jrc.it 
%
% Disclaimer: This software is not subject to copyright protection and is in the public domain. 
% It is an experimental system. The Joint Research Centre of European Commission 
% assumes no responsibility whatsoever for its use by other parties
% and makes no guarantees, expressed or implied, about its quality, reliability, or any other
% characteristic. We would appreciate acknowledgement if the software is used.
% Reference:
% M. Ratto, Global Sensitivity Analysis for Macroeconomic models, MIMEO, 2006.
%

global estim_params_ bayestopt_ M_ options_

if nargin<5,
  iplot=1;
end
fname_ = M_.fname;
if nargin<7,
  dirname='';;
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<pcrit);
end
nparplot=length(ipar);
if iplot
  lpmat=lpmat(:,ipar);
  ftit=bayestopt_.name(ipar+nshock*(1-ishock));
  
for i=1:ceil(nparplot/12),
  hh=figure('name',aname);
  for j=1+12*(i-1):min(nparplot,12*i),
    subplot(3,4,j-12*(i-1))
    if ~isempty(ibehaviour),
      h=cumplot(lpmat(ibehaviour,j));
      set(h,'color',[0 0 0], 'linestyle',':')
    end
    hold on,
    if ~isempty(inonbehaviour),
      h=cumplot(lpmat(inonbehaviour,j));
      set(h,'color',[0 0 0])
    end
%     title([ftit{j},'. D-stat ', num2str(dproba(ipar(j)),2)],'interpreter','none')
    title([ftit{j},'. p-value ', num2str(proba(ipar(j)),2)],'interpreter','none')
  end
  eval(['print -depsc2 ' dirname '/' fname_ '_' aname '_SA_' int2str(i)  '.eps']);
  if ~exist('OCTAVE_VERSION'),
    saveas(hh,[dirname,'/',fname_,'_',aname,'_SA_',int2str(i)])
    eval(['print -dpdf ' dirname '/' fname_ '_' aname '_SA_' int2str(i)]);
  end
  if options_.nograph, close(hh), end
end
end