v4.1: started a diagnostics routine that performs tests that are too expansive
to run systematically git-svn-id: https://www.dynare.org/svn/dynare/trunk@2524 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
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function model_diagnostics(M_,options_,oo_)
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% function model_diagnostics(M_,options_,oo_)
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% computes various diagnostics on the model
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% INPUTS
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% M_ [matlab structure] Definition of the model.
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% options_ [matlab structure] Global options.
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% oo_ [matlab structure] Results
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%
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% OUTPUTS
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% none
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%
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% ALGORITHM
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% ...
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%
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% SPECIAL REQUIREMENTS
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% none.
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%
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% Copyright (C) 1996-2009 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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endo_names = M_.endo_names;
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lead_lag_incidence = M_.lead_lag_incidence;
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maximum_lag = M_.maximum_lag;
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maximum_lead = M_.maximum_lead;
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% missing variables at the current period
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k = find(lead_lag_incidence(maximum_lag+1,:)==0);
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if ~isempty(k)
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disp(['The following endogenous variables aren''t present at ' ...
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'the current period in the model:'])
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for i=1:length(k)
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disp(endo_names(k(i),:))
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end
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end
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