37 lines
1.4 KiB
Matlab
37 lines
1.4 KiB
Matlab
function ldens = prior(parameters)
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% Evaluates the posterior kernel function.
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%
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% INPUTS
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% - parameters [char,double] If row char array, possible values are 'posterior mode', 'posterior mean',
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% 'posterior median', 'prior mode' or 'prior mean'. Otherwise, parmaters must
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% be a vector of doubles (arbitrary values for the parameters).
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%
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% OUTPUTS
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% None
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% Copyright © 2021 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 <https://www.gnu.org/licenses/>.
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global M_ estim_params_ oo_ options_ bayestopt_
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ldens = evaluate_prior(parameters, M_, estim_params_, oo_, options_, bayestopt_);
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if ~nargout
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dprintf('\nValue of the logged prior density: %20.6f\n', ldens);
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clear ('ldens'); % Do not display the value returned by the function.
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end |