function [nam, texnam] = get_the_name(k, TeX, M_, estim_params_, options_) %@info: %! @deftypefn {Function File} {[@var{nam},@var{texnam}] =} get_the_name (@var{k},@var{TeX},@var{M_},@var{estim_params_},@var{options_}) %! @anchor{get_the_name} %! @sp 1 %! Returns the name of the estimated parameter number @var{k}, following the internal ordering of the estimated parameters. %! @sp 2 %! @strong{Inputs} %! @sp 1 %! @table @ @var %! @item k %! Integer scalar, parameter number. %! @item TeX %! Integer scalar, if @var{TeX}==0 then @var{texnam} is not returned (empty matrix). %! @item M_ %! Matlab's structure describing the model (initialized by @code{dynare}). %! @item estim_params_ %! Matlab's structure describing the estimated parameters (initialized by @code{dynare}). %! @item options_ %! Matlab's structure describing the options (initialized by @code{dynare}). %! @end table %! @sp 2 %! @strong{Outputs} %! @sp 1 %! @table @ @var %! @item nam %! String, internal name of the variable %! @item texnam %! String, TeX name of the same variable (if defined in the mod file). %! @end table %! @sp 2 %! @strong{This function is called by:} %! @sp 1 %! @ref{get_prior_info}, @ref{McMCDiagnostics}, @ref{mode_check}, @ref{PlotPosteriorDistributions}, @ref{plot_priors} %! @sp 2 %! @strong{This function calls:} %! @sp 1 %! None. %! @end deftypefn %@eod: % Copyright © 2004-2018 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 . nam = []; texnam = []; nvx = estim_params_.nvx; nvn = estim_params_.nvn; ncx = estim_params_.ncx; ncn = estim_params_.ncn; if k <= nvx vname = M_.exo_names{estim_params_.var_exo(k,1)}; nam = sprintf('SE_%s', vname); if TeX tname = M_.exo_names_tex{estim_params_.var_exo(k,1)}; texnam = sprintf('$ \\sigma_{%s} $', tname); end elseif k <= (nvx+nvn) vname = options_.varobs{estim_params_.nvn_observable_correspondence(k-estim_params_.nvx,1)}; nam = sprintf('SE_EOBS_%s', vname); if TeX tname = M_.endo_names_tex{estim_params_.var_endo(k-estim_params_.nvx,1)}; texnam = sprintf('$ \\sigma^{ME}_{%s} $', tname); end elseif k <= (nvx+nvn+ncx) jj = k - (nvx+nvn); k1 = estim_params_.corrx(jj,1); k2 = estim_params_.corrx(jj,2); vname = sprintf('%s_%s', M_.exo_names{k1}, M_.exo_names{k2}); nam = sprintf('CC_%s', vname); if TeX tname = sprintf('%s,%s', M_.exo_names_tex{k1}, M_.exo_names_tex{k2}); texnam = sprintf('$ \\rho_{%s} $', tname); end elseif k <= (nvx+nvn+ncx+ncn) jj = k - (nvx+nvn+ncx); k1 = estim_params_.corrn(jj,1); k2 = estim_params_.corrn(jj,2); vname = sprintf('%s_%s', M_.endo_names{k1}, M_.endo_names{k2}); nam = sprintf('CC_EOBS_%s', vname); if TeX tname = sprintf('%s,%s', M_.endo_names_tex{k1}, M_.endo_names_tex{k2}); texnam = sprintf('$ \\rho^{ME}_{%s} $', tname); end else jj = k - (nvx+nvn+ncx+ncn); jj1 = estim_params_.param_vals(jj,1); nam = M_.param_names{jj1}; if TeX texnam = sprintf('$ %s $', M_.param_names_tex{jj1}); end end