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function [ldens,parameters] = evaluate_prior(parameters)
% Evaluate the prior density at parameters.
%
% INPUTS
% o parameters a string ('posterior mode','posterior mean','posterior median','prior mode','prior mean') or a vector of values for
% the (estimated) parameters of the model.
%
%
% OUTPUTS
% o ldens [double] value of the logged prior density.
% o parameters [double] vector of values for the estimated parameters.
%
% SPECIAL REQUIREMENTS
% None
%
% REMARKS
% [1] This function cannot evaluate the prior density of a dsge-var model...
% Copyright (C) 2009-2012 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/>.
global bayestopt_
if nargin==0
parameters = 'posterior mode';
end
if ischar(parameters)
switch parameters
case 'posterior mode'
parameters = get_posterior_parameters('mode');
case 'posterior mean'
parameters = get_posterior_parameters('mean');
case 'posterior median'
parameters = get_posterior_parameters('median');
case 'prior mode'
parameters = bayestopt_.p5(:);
case 'prior mean'
parameters = bayestopt_.p1;
otherwise
disp('eval_prior:: If the input argument is a string, then it has to be equal to:')
disp(' ''posterior mode'', ')
disp(' ''posterior mean'', ')
disp(' ''posterior median'', ')
disp(' ''prior mode'' or')
disp(' ''prior mean''.')
error
end
end
ldens = priordens(parameters, bayestopt_.pshape, bayestopt_.p6, bayestopt_.p7, bayestopt_.p3, bayestopt_.p4);
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