88 lines
3.1 KiB
Matlab
88 lines
3.1 KiB
Matlab
function [nam, texnam] = get_the_name(k, TeX, M_, estim_params_, varobs)
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% [nam, texnam] = get_the_name(k, TeX, M_, estim_params_, varobs)
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% Returns name of estimated parameter number k, following the internal ordering of
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% the estimated parameters.
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% Inputs:
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% - k [integer] parameter number.
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% - TeX [bool] if false, texnam is not returned (empty matrix)
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% - M_ [structure] model
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% - estim_params_ [structure] describing the estimated parameters
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% - varobs [cell] name of observed variables
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%
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% Outputs
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% - nam [char] internal name of the variable
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% - texnam [char] TeX name of the same variable (if defined in the mod file)
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%
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% This function is called by:
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% get_prior_info, mcmc_diagnostics, mode_check, PlotPosteriorDistributions, plot_priors
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%
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% This function calls:
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% None.
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%
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% Copyright © 2004-2023 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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texnam = [];
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nvx = estim_params_.nvx;
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nvn = estim_params_.nvn;
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ncx = estim_params_.ncx;
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ncn = estim_params_.ncn;
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if k <= nvx
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vname = M_.exo_names{estim_params_.var_exo(k,1)};
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nam = sprintf('SE_%s', vname);
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if TeX
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tname = M_.exo_names_tex{estim_params_.var_exo(k,1)};
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texnam = sprintf('$ \\sigma_{%s} $', tname);
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end
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elseif k <= (nvx+nvn)
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vname = varobs{estim_params_.nvn_observable_correspondence(k-estim_params_.nvx,1)};
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nam = sprintf('SE_EOBS_%s', vname);
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if TeX
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tname = M_.endo_names_tex{estim_params_.var_endo(k-estim_params_.nvx,1)};
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texnam = sprintf('$ \\sigma^{ME}_{%s} $', tname);
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end
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elseif k <= (nvx+nvn+ncx)
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jj = k - (nvx+nvn);
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k1 = estim_params_.corrx(jj,1);
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k2 = estim_params_.corrx(jj,2);
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vname = sprintf('%s_%s', M_.exo_names{k1}, M_.exo_names{k2});
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nam = sprintf('CC_%s', vname);
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if TeX
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tname = sprintf('%s,%s', M_.exo_names_tex{k1}, M_.exo_names_tex{k2});
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texnam = sprintf('$ \\rho_{%s} $', tname);
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end
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elseif k <= (nvx+nvn+ncx+ncn)
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jj = k - (nvx+nvn+ncx);
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k1 = estim_params_.corrn(jj,1);
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k2 = estim_params_.corrn(jj,2);
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vname = sprintf('%s_%s', M_.endo_names{k1}, M_.endo_names{k2});
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nam = sprintf('CC_EOBS_%s', vname);
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if TeX
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tname = sprintf('%s,%s', M_.endo_names_tex{k1}, M_.endo_names_tex{k2});
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texnam = sprintf('$ \\rho^{ME}_{%s} $', tname);
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end
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else
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jj = k - (nvx+nvn+ncx+ncn);
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jj1 = estim_params_.param_vals(jj,1);
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nam = M_.param_names{jj1};
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if TeX
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texnam = sprintf('$ %s $', M_.param_names_tex{jj1});
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end
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end |