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cosmetical: don't use hh for figure/plot/table handles 

We use it to denote the hessian and even store it in many mat files.
kalman-mex
Willi Mutschler 2023-09-19 13:19:07 +02:00
parent 66e7233018
commit 649f668dd1
No known key found for this signature in database
GPG Key ID: 91E724BF17A73F6D
42 changed files with 260 additions and 260 deletions
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2
doc/parallel/parallel.tex
View File

@ -907,7 +907,7 @@ waitbarString = [ '(' int2str(b) '/' int2str(mh_nblck) ') ...
if mod(j, 3)==0 & ~whoiam
% serial computation
waitbar(prtfrc,hh,waitbarString);
waitbar(prtfrc,hh_fig,waitbarString);
elseif mod(j,50)==0 & whoiam,
% parallel computation

10
examples/Gali_2015.mod
View File

@ -20,7 +20,7 @@
*/
/*
* Copyright © 2021 Dynare Team
* Copyright © 2021-2023 Dynare Team
*
* This file is part of Dynare.
*
@ -147,13 +147,13 @@ end;
varobs yhat;
% Run prior function to get prior slope of the PC based on independent priors
hh=figure('Name','Slope of the Phillips Curve');
hh_fig=figure('Name','Slope of the Phillips Curve');
prior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.prior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,1)
plot(density(:,1),density(:,2));
title('Prior')
@ -165,7 +165,7 @@ posterior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.posterior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,2)
plot(density(:,1),density(:,2));
title('Updated Prior')
@ -178,7 +178,7 @@ posterior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.posterior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,3)
plot(density(:,1),density(:,2));
title('Posterior')

6
matlab/+occbin/DSGE_smoother.m
View File

@ -42,7 +42,7 @@ function [alphahat,etahat,epsilonhat,ahat0,SteadyState,trend_coeff,aKK,T0,R0,P,P
% - alphahat0 [double] (m*1) array, smoothed endogenous variables in period 0 (a_{0|T}) (decision-rule order)
% - state_uncertainty0 [double] (K,K,1) array, storing the uncertainty in period 0
% Copyright © 2021 Dynare Team
% Copyright © 2021-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -401,7 +401,7 @@ if (~is_changed || occbin_smoother_debug) && nargin==12
if M_.Sigma_e(j,j)
j1=j1+1;
if mod(j1,9)==1
hfig = dyn_figure(options_.nodisplay,'name','Occbin smoothed shocks');
hh_fig = dyn_figure(options_.nodisplay,'name','Occbin smoothed shocks');
ifig=ifig+1;
isub=0;
end
@ -427,7 +427,7 @@ if (~is_changed || occbin_smoother_debug) && nargin==12
if mod(j1,9)~=0 && j==M_.exo_nbr
annotation('textbox', [0.1,0,0.35,0.05],'String', 'Linear','Color','Blue','horizontalalignment','center','interpreter','none');
annotation('textbox', [0.55,0,0.35,0.05],'String', 'Piecewise','Color','Red','horizontalalignment','center','interpreter','none');
dyn_saveas(hfig,[GraphDirectoryName filesep M_.fname,'_smoothedshocks_occbin',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[GraphDirectoryName filesep M_.fname,'_smoothedshocks_occbin',int2str(ifig)],options_.nodisplay,options_.graph_format);
end
end
end

14
matlab/+occbin/IVF_core.m
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@ -65,13 +65,13 @@ opts_simul.piecewise_only = 1;
filtered_errs=zeros(sample_length,n_obs);
if options_.occbin.likelihood.waitbar
hh = dyn_waitbar(0,'IVF_core: Filtering the shocks');
set(hh,'Name','IVF_core: Filtering the shocks.');
hh_fig = dyn_waitbar(0,'IVF_core: Filtering the shocks');
set(hh_fig,'Name','IVF_core: Filtering the shocks.');
end
for this_period=1:sample_length
if options_.occbin.likelihood.waitbar
dyn_waitbar(this_period/sample_length, hh, sprintf('Period %u of %u', this_period,sample_length));
dyn_waitbar(this_period/sample_length, hh_fig, sprintf('Period %u of %u', this_period,sample_length));
end
current_obs = obs(this_period,:);
init_val_old = init_val;
@ -89,7 +89,7 @@ for this_period=1:sample_length
filtered_errs=NaN;
error_code(1) = 304;
error_code(4) = 1000;
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh); end
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh_fig); end
return
end
filtered_errs(this_period,inan)=err_vals_out';
@ -103,7 +103,7 @@ for this_period=1:sample_length
error_code(1) = 306;
error_code(4) = max(abs(err_vals_out))/1000;
filtered_errs=NaN;
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh); end
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh_fig); end
return
end
if max(abs(resids(this_period,:)))>0.001
@ -112,12 +112,12 @@ for this_period=1:sample_length
filtered_errs=NaN;
error_code(1) = 303;
error_code(4) = max(abs(resids(this_period,:)))*100;
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh); end
if options_.occbin.likelihood.waitbar; dyn_waitbar_close(hh_fig); end
return
end
end
if options_.occbin.likelihood.waitbar
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
end
end

6
matlab/+occbin/graph.m
View File

@ -8,7 +8,7 @@ function graph(M_, options_, options_occbin_, oo_, var_list)
% - oo_ [structure] Matlab's structure containing the results
% - var_list [char] list of the variables to plot
% Copyright © 2021 Dynare Team
% Copyright © 2021-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -79,7 +79,7 @@ end
[nbplt,nr,nc,lr,lc,nstar] = pltorg(number_of_plots_to_draw_endo+number_of_plots_to_draw_exo);
for fig = 1:nbplt
hh = dyn_figure(options_.nodisplay,'Name',['Occbin simulated paths, figure ' int2str(fig)]);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Occbin simulated paths, figure ' int2str(fig)]);
for plt = 1:nstar
if fig==nbplt && ~lr==0
subplot(lr,lc,plt);
@ -121,7 +121,7 @@ for fig = 1:nbplt
break
end
end
dyn_saveas(hh,[M_.dname, '/graphs/' M_.fname '_occbin_' int2str(fig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname, '/graphs/' M_.fname '_occbin_' int2str(fig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');

14
matlab/+occbin/solve_one_constraint.m
View File

@ -114,13 +114,13 @@ else
end
if opts_simul_.waitbar
hh = dyn_waitbar(0,'Occbin: Solving the model');
set(hh,'Name','Occbin: Solving the model.');
hh_fig = dyn_waitbar(0,'Occbin: Solving the model');
set(hh_fig,'Name','Occbin: Solving the model.');
end
for shock_period = 1:n_shocks_periods
if opts_simul_.waitbar
dyn_waitbar(shock_period/n_shocks_periods, hh, sprintf('Period %u of %u', shock_period,n_shocks_periods));
dyn_waitbar(shock_period/n_shocks_periods, hh_fig, sprintf('Period %u of %u', shock_period,n_shocks_periods));
end
regime_change_this_iteration=true;
@ -312,7 +312,7 @@ for shock_period = 1:n_shocks_periods
if periodic_solution
disp_verbose(['Max error:' num2str(merr) '.'],opts_simul_.debug)
else
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
error_flag = 310;
return
end
@ -324,7 +324,7 @@ for shock_period = 1:n_shocks_periods
disp_verbose('Did not converge -- increase maxit.',opts_simul_.debug)
error_flag = 311;
end
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
return
end
else
@ -333,7 +333,7 @@ for shock_period = 1:n_shocks_periods
end
if any(error_code_period)
disp_verbose('Increase nperiods.',opts_simul_.debug)
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
error_flag = 312;
return
end
@ -363,5 +363,5 @@ if ~opts_simul_.piecewise_only
end
if opts_simul_.waitbar
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
end

14
matlab/+occbin/solve_two_constraints.m
View File

@ -124,13 +124,13 @@ else
end
if opts_simul_.waitbar
hh = dyn_waitbar(0,'Occbin: Solving the model');
set(hh,'Name','Occbin: Solving the model.');
hh_fig = dyn_waitbar(0,'Occbin: Solving the model');
set(hh_fig,'Name','Occbin: Solving the model.');
end
for shock_period = 1:n_shocks_periods
if opts_simul_.waitbar
dyn_waitbar(shock_period/n_shocks_periods, hh, sprintf('Period %u of %u', shock_period,n_shocks_periods));
dyn_waitbar(shock_period/n_shocks_periods, hh_fig, sprintf('Period %u of %u', shock_period,n_shocks_periods));
end
regime_change_this_iteration=true;
nperiods_endogenously_increased = false;
@ -348,7 +348,7 @@ for shock_period = 1:n_shocks_periods
disp_verbose(['Max error:' num2str(min_err) '.'],opts_simul_.debug)
else
error_flag = 310;
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
return;
end
else
@ -359,7 +359,7 @@ for shock_period = 1:n_shocks_periods
disp_verbose('Did not converge -- increase maxit.',opts_simul_.debug)
error_flag = 311;
end
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
return;
end
else
@ -371,7 +371,7 @@ for shock_period = 1:n_shocks_periods
if any(error_code_period)
disp_verbose('Increase nperiods.',opts_simul_.debug)
error_flag = 312;
if opts_simul_.waitbar; dyn_waitbar_close(hh); end
if opts_simul_.waitbar; dyn_waitbar_close(hh_fig); end
return;
end
@ -396,5 +396,5 @@ if ~opts_simul_.piecewise_only
end
if opts_simul_.waitbar
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
end

6
matlab/DSMH_sampler.m
View File

@ -33,7 +33,7 @@ function DSMH_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset_info,options_
% Then the comments write here can be used for all the other pairs of
% parallel functions and also for management functions.
% Copyright © 2006-2022 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -125,7 +125,7 @@ if TeX
NAMES = [];
TeXNAMES = [];
end
hh = dyn_figure(options_.nodisplay,'Name','Parameters Densities');
hh_fig = dyn_figure(options_.nodisplay,'Name','Parameters Densities');
for k=1:npar %min(nstar,npar-(plt-1)*nstar)
subplot(ceil(sqrt(npar)),floor(sqrt(npar)),k)
%kk = (plt-1)*nstar+k;
@ -144,7 +144,7 @@ for k=1:npar %min(nstar,npar-(plt-1)*nstar)
axis tight
drawnow
end
dyn_saveas(hh,[ M_.fname '_param_density' int2str(plt) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ M_.fname '_param_density' int2str(plt) ],options_.nodisplay,options_.graph_format);
if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
% TeX eps loader file
fprintf(fidTeX,'\\begin{figure}[H]\n');

6
matlab/Herbst_Schorfheide_sampler.m
View File

@ -33,7 +33,7 @@ function Herbst_Schorfheide_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset
% Then the comments write here can be used for all the other pairs of
% parallel functions and also for management functions.
% Copyright © 2006-2022 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -152,7 +152,7 @@ if TeX
NAMES = [];
TeXNAMES = [];
end
hh = dyn_figure(options_.nodisplay,'Name','Parameters Densities');
hh_fig = dyn_figure(options_.nodisplay,'Name','Parameters Densities');
for k=1:npar %min(nstar,npar-(plt-1)*nstar)
subplot(ceil(sqrt(npar)),floor(sqrt(npar)),k)
%kk = (plt-1)*nstar+k;
@ -171,7 +171,7 @@ for k=1:npar %min(nstar,npar-(plt-1)*nstar)
axis tight
drawnow
end
dyn_saveas(hh,[ M_.fname '_param_density' int2str(plt) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ M_.fname '_param_density' int2str(plt) ],options_.nodisplay,options_.graph_format);
if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
% TeX eps loader file
fprintf(fidTeX,'\\begin{figure}[H]\n');

24
matlab/MakeAllFigures.m
View File

@ -1,6 +1,6 @@
function MakeAllFigures(NumberOfPlots,Caption,FigureProperties,Info)
% Copyright © 2005-2017 Dynare Team
% Copyright © 2005-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -97,45 +97,45 @@ for plt = 1:NumberOfPlots
subplot(nr,nc,plt)
hold on
for curve = 1:NumberOfCurves
hh = plot(x{curve},y{curve});
hh_fig = plot(x{curve},y{curve});
if strcmpi(PltType{curve},'PriorDensity')
set(hh,'Color',[0.7 0.7 0.7],'LineStyle','-','LineWidth',2)
set(hh_fig,'Color',[0.7 0.7 0.7],'LineStyle','-','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'DensityEstimate')
set(hh,'Color','k','LineStyle','-','LineWidth',2)
set(hh_fig,'Color','k','LineStyle','-','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'ModeEstimate')
set(hh,'Color','g','LineStyle','--','LineWidth',2)
set(hh_fig,'Color','g','LineStyle','--','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'SmoothVariable')
set(hh,'Color','k','LineStyle','-','LineWidth',2)
set(hh_fig,'Color','k','LineStyle','-','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'Deciles')
set(hh,'Color','g','LineStyle','-','LineWidth',1)
set(hh_fig,'Color','g','LineStyle','-','LineWidth',1)
%
%
elseif strcmpi(PltType{curve},'Forecasts')
set(hh,'Color','','LineStyle','-','LineWidth',2)
set(hh_fig,'Color','','LineStyle','-','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'ForecastsHPD')
set(hh,'Color','k','LineStyle','-','LineWidth',1)
set(hh_fig,'Color','k','LineStyle','-','LineWidth',1)
%
%
elseif strcmpi(PltType{curve},'ForecastsDeciles')
set(hh,'Color','g','LineStyle','-','LineWidth',1)
set(hh_fig,'Color','g','LineStyle','-','LineWidth',1)
%
%
elseif strcmpi(PltType{curve},'DiagnosticWithin')
set(hh,'Color','b','LineStyle','-','LineWidth',2)
set(hh_fig,'Color','b','LineStyle','-','LineWidth',2)
%
%
elseif strcmpi(PltType{curve},'DiagnosticPooled')
set(hh,'Color','r','LineStyle','-','LineWidth',2)
set(hh_fig,'Color','r','LineStyle','-','LineWidth',2)
%
%
end

4
matlab/PlotPosteriorDistributions.m
View File

@ -128,8 +128,8 @@ for i=1:npar
borneinf = min(binf1, binf2);
bornesup = max(bsup1, bsup2);
subplot(nn, nn, subplotnum)
hh_fig = plot(x2, f2, '-k', 'linewidth', 2);
set(hh_fig, 'color', [0.7 0.7 0.7]);
hh_plt = plot(x2, f2, '-k', 'linewidth', 2);
set(hh_plt, 'color', [0.7 0.7 0.7]);
hold on;
plot(x1, f1, '-k', 'linewidth', 2);
if ~options_.mh_posterior_mode_estimation

10
matlab/PosteriorIRF_core2.m
View File

@ -30,7 +30,7 @@ function myoutput=PosteriorIRF_core2(myinputs,fpar,npar,whoiam,ThisMatlab)
% SPECIAL REQUIREMENTS.
% None.
%
% Copyright © 2006-2018 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -103,12 +103,12 @@ for i=fpar:npar
if max(abs(MeanIRF(:,j,i))) >= options_.impulse_responses.plot_threshold
subplotnum = subplotnum+1;
if subplotnum == 1 && options_.relative_irf
hh = dyn_figure(options_.nodisplay,'Name',['Relative response to orthogonalized shock to ' tit{i}]);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Relative response to orthogonalized shock to ' tit{i}]);
elseif subplotnum == 1 && ~options_.relative_irf
hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i}]);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i}]);
end
set(0,'CurrentFigure',hh)
set(0,'CurrentFigure',hh_fig)
subplot(nn,nn,subplotnum);
if ~MAX_nirfs_dsgevar
if ~isnan(min(HPDIRF(:,1,j,i)))
@ -155,7 +155,7 @@ for i=fpar:npar
if subplotnum == MaxNumberOfPlotPerFigure || (j == nvar && subplotnum> 0)
figunumber = figunumber+1;
dyn_saveas(hh,[DirectoryName '/' M_.fname '_Bayesian_IRF_' tit{i} '_' int2str(figunumber)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[DirectoryName '/' M_.fname '_Bayesian_IRF_' tit{i} '_' int2str(figunumber)],options_.nodisplay,options_.graph_format);
if RemoteFlag==1
OutputFileName = [OutputFileName; {[DirectoryName,filesep], [M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber) '.*']}];
end

6
matlab/UnivariateSpectralDensity.m
View File

@ -19,7 +19,7 @@ function [oo_] = UnivariateSpectralDensity(M_,oo_,options_,var_list)
% Adapted from th_autocovariances.m.
% Copyright © 2006-2020 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -155,12 +155,12 @@ if ~options_.nograph
end
for i= 1:nvar
hh = dyn_figure(options_.nodisplay,'Name',['Spectral Density of ' M_.endo_names{ivar(i)} '.']);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Spectral Density of ' M_.endo_names{ivar(i)} '.']);
plot(freqs,f(i,:),'-k','linewidth',2)
xlabel('0 \leq \omega \leq \pi')
ylabel('f(\omega)')
box on
axis tight
dyn_saveas(hh,[M_.dname ,filesep,'graphs', filesep, 'SpectralDensity_' M_.endo_names{ivar(i)}],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname ,filesep,'graphs', filesep, 'SpectralDensity_' M_.endo_names{ivar(i)}],options_.nodisplay,options_.graph_format)
end
end

10
matlab/calibrate_mh_scale_parameter.m
View File

@ -20,7 +20,7 @@ function Scale = calibrate_mh_scale_parameter(ObjectiveFunction, CovarianceMatri
% Copyright © 2020-2021 Dynare Team
% Copyright © 2020-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -38,8 +38,8 @@ function Scale = calibrate_mh_scale_parameter(ObjectiveFunction, CovarianceMatri
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
% Fire up the wait bar
hh = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh,'Name','Tuning of the scale parameter.');
hh_fig = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh_fig,'Name','Tuning of the scale parameter.');
% Intilialize various counters.
j = 1; jj = 1; isux = 0; jsux = 0; i = 0;
@ -100,7 +100,7 @@ while j<=options.maxiter
prtfrc = j/options.maxiter;
% Update the waitbar
if ~mod(j, 10)
dyn_waitbar(prtfrc, hh, sprintf('Acceptance ratio [during last %u]: %f [%f]', options.stepsize, isux/j, jsux/jj));
dyn_waitbar(prtfrc, hh_fig, sprintf('Acceptance ratio [during last %u]: %f [%f]', options.stepsize, isux/j, jsux/jj));
end
% Adjust the value of the scale parameter.
if ~mod(j, options.stepsize)
@ -135,4 +135,4 @@ while j<=options.maxiter
jj = jj + 1;
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);

6
matlab/dynare_estimation.m
View File

@ -12,7 +12,7 @@ function oo_recursive_=dynare_estimation(var_list,dname)
% SPECIAL REQUIREMENTS
% none
% Copyright © 2003-2021 Dynare Team
% Copyright © 2003-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -164,7 +164,7 @@ if nnobs > 1 && horizon > 0
for i = 1:length(var_list)
if mod(i,nstar) == 1
plot_index=plot_index+1;
hfig = dyn_figure(options_.nodisplay,'Name',['Out of sample forecasts (',num2str(plot_index),')']);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Out of sample forecasts (',num2str(plot_index),')']);
m = 1;
end
subplot(nr,nc,m)
@ -221,7 +221,7 @@ if nnobs > 1 && horizon > 0
xlim([nobs(1)-offsetx nobs(end)+horizon])
m = m + 1;
if mod(i+1,nstar) == 1 || i==length(var_list)
dyn_saveas(hfig,[M_.dname,filesep,'graphs',filesep M_.fname '_RecursiveForecasts_' int2str(plot_index)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname,filesep,'graphs',filesep M_.fname '_RecursiveForecasts_' int2str(plot_index)],options_.nodisplay,options_.graph_format);
end
end
end

8
matlab/dyntable.m
View File

@ -15,7 +15,7 @@ function dyntable(options_, title, headers, labels, values, label_width, val_wid
% OUTPUTS
% none
% Copyright © 2002-2022 Dynare Team
% Copyright © 2002-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -73,11 +73,11 @@ if nargin==9
end
if length(headers) > 0
hh = sprintf(label_format_leftbound , headers{1});
hh_tbl = sprintf(label_format_leftbound , headers{1});
for i=2:length(headers)
hh = [hh sprintf(header_string_format, headers{i})];
hh_tbl = [hh_tbl sprintf(header_string_format, headers{i})];
end
disp(hh)
disp(hh_tbl)
end
for i=1:size(values,1)

10
matlab/ep/extended_path.m
View File

@ -19,7 +19,7 @@ function [ts, DynareResults] = extended_path(initialconditions, samplesize, exog
%
% SPECIAL REQUIREMENTS
% Copyright © 2009-2020 Dynare Team
% Copyright © 2009-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -46,8 +46,8 @@ endogenous_variables_paths = NaN(DynareModel.endo_nbr,samplesize+1);
endogenous_variables_paths(:,1) = initialconditions;
% Set waitbar (graphic or text mode)
hh = dyn_waitbar(0,'Please wait. Extended Path simulations...');
set(hh,'Name','EP simulations.');
hh_fig = dyn_waitbar(0,'Please wait. Extended Path simulations...');
set(hh_fig,'Name','EP simulations.');
% Initialize while-loop index.
t = 1;
@ -55,7 +55,7 @@ t = 1;
% Main loop.
while (t <= samplesize)
if ~mod(t,10)
dyn_waitbar(t/samplesize,hh,'Please wait. Extended Path simulations...');
dyn_waitbar(t/samplesize,hh_fig,'Please wait. Extended Path simulations...');
end
% Set period index.
t = t+1;
@ -83,7 +83,7 @@ while (t <= samplesize)
end % (while) loop over t
% Close waitbar.
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
% Set the initial period.
if isdates(DynareOptions.initial_period)

18
matlab/forecast_graphs.m
View File

@ -8,7 +8,7 @@ function forecast_graphs(var_list,M_, oo_,options_)
% o oo_ outputs structure
% o options_ options structure
% Copyright © 2008-2018 Dynare Team
% Copyright © 2008-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -61,11 +61,11 @@ end
m = 1;
n_fig = 1;
hh = dyn_figure(options_.nodisplay, 'Name', 'Forecasts (I)');
hh_fig = dyn_figure(options_.nodisplay, 'Name', 'Forecasts (I)');
for j= 1:nvar
if m > nc*nr
dyn_saveas(hh,[ dname '/graphs/forcst' int2str(n_fig)], options_.nodisplay, options_.graph_format);
dyn_saveas(hh_fig,[ dname '/graphs/forcst' int2str(n_fig)], options_.nodisplay, options_.graph_format);
if options_.TeX && any(strcmp('eps', cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');
@ -76,7 +76,7 @@ for j= 1:nvar
fprintf(fidTeX,' \n');
end
n_fig =n_fig+1;
eval(['hh=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
eval(['hh_fig=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
m = 1;
end
subplot(nr, nc, m);
@ -99,7 +99,7 @@ for j= 1:nvar
end
if m > 1
dyn_saveas(hh,[dname '/graphs/forcst' int2str(n_fig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dname '/graphs/forcst' int2str(n_fig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');
@ -124,10 +124,10 @@ if isfield(oo_.forecast,'HPDinf_ME')
m = 1;
n_fig = 1;
hh=dyn_figure(options_.nodisplay,'Name','Forecasts including ME (I)');
hh_fig=dyn_figure(options_.nodisplay,'Name','Forecasts including ME (I)');
for j= 1:length(var_names)
if m > nc*nr
dyn_saveas(hh,[ dname '/graphs/forcst_ME' int2str(n_fig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ dname '/graphs/forcst_ME' int2str(n_fig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');
@ -138,7 +138,7 @@ if isfield(oo_.forecast,'HPDinf_ME')
fprintf(fidTeX,' \n');
end
n_fig =n_fig+1;
eval(['hh=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
eval(['hh_fig=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
m = 1;
end
subplot(nr,nc,m);
@ -162,7 +162,7 @@ if isfield(oo_.forecast,'HPDinf_ME')
end
if m > 1
dyn_saveas(hh,[dname '/graphs/forcst_ME' int2str(n_fig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dname '/graphs/forcst_ME' int2str(n_fig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');

40
matlab/gsa/filt_mc_.m
View File

@ -391,7 +391,7 @@ else
end
if mod(i,9)==1
ifig=ifig+1;
hh=dyn_figure(options_.nodisplay,'name',[temp_name,' ',int2str(ifig)]);
hh_fig=dyn_figure(options_.nodisplay,'name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(lnprior(ixx(1:nfilt0(i),i)));
@ -407,18 +407,18 @@ else
annotation('textbox', [0.55,0,0.35,0.05],'String', 'Log-prior for WORSE R2', 'Color','Red','horizontalalignment','center');
end
if options_.opt_gsa.ppost
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_post_lnprior',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_post_lnprior',int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir '/' fname_ '_rmse_post_lnprior',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_post_lnprior',options_.figures.textwidth*min((i-9*(ifig-1))/3,1))
end
else
if options_.opt_gsa.pprior
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_prior_lnprior',int2str(ifig) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_prior_lnprior',int2str(ifig) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir '/' fname_ '_rmse_prior_lnprior',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_prior_lnprior',options_.figures.textwidth*min((i-9*(ifig-1))/3,1))
end
else
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_mc_lnprior',int2str(ifig) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_mc_lnprior',int2str(ifig) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir '/' fname_ '_rmse_mc_lnprior',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_mc_lnprior',options_.figures.textwidth*min((i-9*(ifig-1))/3,1))
end
@ -439,7 +439,7 @@ else
end
if mod(i,9)==1
ifig=ifig+1;
hh = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
hh_fig = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(likelihood(ixx(1:nfilt0(i),i)));
@ -458,18 +458,18 @@ else
annotation('textbox', [0.55,0,0.35,0.05],'String', 'Log-likelihood for WORSE R2', 'Color','Red','horizontalalignment','center');
end
if options_.opt_gsa.ppost
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_post_lnlik',int2str(ifig) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_post_lnlik',int2str(ifig) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_post_lnprior',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_post_lnprior',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
else
if options_.opt_gsa.pprior
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_prior_lnlik',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_prior_lnlik',int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_prior_lnlik',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_prior_lnlik',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
else
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_mc_lnlik',int2str(ifig) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_mc_lnlik',int2str(ifig) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_mc_lnlik',int2str(ifig) ],ifig,[temp_name,' ',int2str(ifig)],'rmse_mc_lnlik',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
@ -490,7 +490,7 @@ else
end
if mod(i,9)==1
ifig=ifig+1;
hh = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
hh_fig = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(logpo2(ixx(1:nfilt0(i),i)));
@ -509,18 +509,18 @@ else
annotation('textbox', [0.55,0,0.35,0.05],'String', 'Log-posterior for WORSE R2', 'Color','Red','horizontalalignment','center');
end
if options_.opt_gsa.ppost
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_post_lnpost',int2str(ifig) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_post_lnpost',int2str(ifig) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_post_lnpost',int2str(ifig) ],ifig,[temp_name,' ',int2str(ifig)],'rmse_post_lnpost',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
else
if options_.opt_gsa.pprior
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_prior_lnpost',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_prior_lnpost',int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_prior_lnpost',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_prior_lnpost',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
else
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_mc_lnpost',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_mc_lnpost',int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_mc_lnpost',int2str(ifig)],ifig,[temp_name,' ',int2str(ifig)],'rmse_mc_lnpost',options_.figures.textwidth*min((i-9*(ifig-1))/3,1));
end
@ -746,7 +746,7 @@ else
for iy = 1:length(vvarvecm)
ipar = find(any(squeeze(PPV(iy,:,:))<alpha));
for ix=1:ceil(length(ipar)/5)
hh = dyn_figure(options_.nodisplay,'name',[temp_name,' observed variable ', vvarvecm{iy}]);
hh_fig = dyn_figure(options_.nodisplay,'name',[temp_name,' observed variable ', vvarvecm{iy}]);
for j=1+5*(ix-1):min(length(ipar),5*ix)
subplot(2,3,j-5*(ix-1))
h0=cumplot(x(:,ipar(j)));
@ -782,18 +782,18 @@ else
set(h0,'fontsize',6,'position',[0.7 0.1 0.2 0.3],'interpreter','none');
end
if options_.opt_gsa.ppost
dyn_saveas(hh,[ OutDir filesep fname_ '_rmse_post_' vvarvecm{iy} '_' int2str(ix)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ OutDir filesep fname_ '_rmse_post_' vvarvecm{iy} '_' int2str(ix)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[ OutDir filesep fname_ '_rmse_post_' vvarvecm{iy} '_' int2str(ix)],ix,[temp_name,' observed variable $',vvarvecm_tex{iy} '$'],['rmse_post_' vvarvecm{iy}],1)
end
else
if options_.opt_gsa.pprior
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_prior_' vvarvecm{iy} '_' int2str(ix) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_prior_' vvarvecm{iy} '_' int2str(ix) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_prior_' vvarvecm{iy} '_' int2str(ix) ],ix,[temp_name,' observed variable $',vvarvecm_tex{iy} '$'],['rmse_prior_' vvarvecm{iy}],1)
end
else
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_mc_' vvarvecm{iy} '_' int2str(ix)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_mc_' vvarvecm{iy} '_' int2str(ix)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_mc_' vvarvecm{iy} '_' int2str(ix)],ix,[temp_name,' observed variable $',vvarvecm_tex{iy} '$'],['rmse_mc_' vvarvecm{iy}],1)
end
@ -803,7 +803,7 @@ else
end
% now I plot by individual parameters
for ix=1:ceil(length(nsnam)/5)
hh = dyn_figure(options_.nodisplay,'name',[temp_name,' estimated params and shocks ',int2str(ix)]);
hh_fig = dyn_figure(options_.nodisplay,'name',[temp_name,' estimated params and shocks ',int2str(ix)]);
for j=1+5*(ix-1):min(size(snam2,1),5*ix)
subplot(2,3,j-5*(ix-1))
h0=cumplot(x(:,nsnam(j)));
@ -840,18 +840,18 @@ else
set(h0,'fontsize',6,'position',[0.7 0.1 0.2 0.3],'interpreter','none');
end
if options_.opt_gsa.ppost
dyn_saveas(hh,[ OutDir filesep fname_ '_rmse_post_params_' int2str(ix)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ OutDir filesep fname_ '_rmse_post_params_' int2str(ix)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[ OutDir filesep fname_ '_rmse_post_params_' int2str(ix)],ix,[temp_name,' estimated params and shocks ',int2str(ix)],'rmse_post_params',1)
end
else
if options_.opt_gsa.pprior
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_prior_params_' int2str(ix) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_prior_params_' int2str(ix) ],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_prior_params_' int2str(ix) ],ix,[temp_name,' estimated params and shocks ',int2str(ix)],'rmse_prior_params',1)
end
else
dyn_saveas(hh,[OutDir filesep fname_ '_rmse_mc_params_' int2str(ix)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutDir filesep fname_ '_rmse_mc_params_' int2str(ix)],options_.nodisplay,options_.graph_format);
if options_.TeX
create_TeX_loader(options_,[OutDir filesep fname_ '_rmse_mc_params_' int2str(ix)],ix,[temp_name,' estimated params and shocks ',int2str(ix)],'rmse_mc_params',1)
end

30
matlab/gsa/map_ident_.m
View File

@ -5,7 +5,7 @@ function map_ident_(OutputDirectoryName,opt_gsa)
% marco.ratto@ec.europa.eu
% Copyright © 2012-2016 European Commission
% Copyright © 2012-2018 Dynare Team
% Copyright © 2012-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -90,7 +90,7 @@ if opt_gsa.load_ident_files==0
ifig=0;
for j=1:M_.exo_nbr
if mod(j,6)==1
hh=dyn_figure(options_.nodisplay,'name',['Variance decomposition shocks']);
hh_fig=dyn_figure(options_.nodisplay,'name',['Variance decomposition shocks']);
ifig=ifig+1;
iplo=0;
end
@ -108,7 +108,7 @@ if opt_gsa.load_ident_files==0
ylabel(' ')
title(M_.exo_names{j},'interpreter','none')
if mod(j,6)==0 | j==M_.exo_nbr
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_vdec_exo_',int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_vdec_exo_',int2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_vdec_exo_',int2str(ifig)],ifig,['Variance decomposition shocks'],'vdec_exo',options_.figures.textwidth*min(iplo/3,1))
end
end
@ -219,7 +219,7 @@ if opt_gsa.morris==1
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAvdec','vdec','ir_vdec','ic_vdec')
end
hh = dyn_figure(options_.nodisplay,'name','Screening identification: variance decomposition');
hh_fig = dyn_figure(options_.nodisplay,'name','Screening identification: variance decomposition');
% boxplot(SAvdec,'whis',10,'symbol','r.')
myboxplot(SAvdec,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@ -232,7 +232,7 @@ if opt_gsa.morris==1
end
xlabel(' ')
title('Elementary effects variance decomposition')
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_vdec'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_morris_vdec'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_morris_vdec'],1,'Screening identification: variance decomposition','morris_vdec',1)
else
save([OutputDirectoryName,'/',fname_,'_morris_IDE.mat'],'vdec')
@ -325,7 +325,7 @@ if opt_gsa.morris==1
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'ac','ir_ac','ic_ac')
end
hh=dyn_figure(options_.nodisplay,'name','Screening identification: theoretical moments');
hh_fig=dyn_figure(options_.nodisplay,'name','Screening identification: theoretical moments');
% boxplot(SAcc,'whis',10,'symbol','r.')
myboxplot(SAcc,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@ -338,7 +338,7 @@ if opt_gsa.morris==1
end
xlabel(' ')
title('Elementary effects in the moments')
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_moments'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_morris_moments'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_morris_moments'],1,'Screening identification: theoretical moments','morris_moments',1)
% close(gcf),
@ -722,7 +722,7 @@ if opt_gsa.morris==1
else
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAnorm','SAmunorm','SAsignorm')
end
hh=dyn_figure(options_.nodisplay,'name','Screening identification: model'); %bar(SAnorm(:,irel))
hh_fig=dyn_figure(options_.nodisplay,'name','Screening identification: model'); %bar(SAnorm(:,irel))
% boxplot(SAnorm','whis',10,'symbol','r.')
myboxplot(SAnorm',[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@ -736,10 +736,10 @@ if opt_gsa.morris==1
end
xlabel(' ')
title('Elementary effects in the model')
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_par'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_morris_par'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_morris_par'],1,'Screening identification: model','morris_par',1)
% hh=dyn_figure(options_.nodisplay); %bar(SAmunorm(:,irel))
% hh_fig=dyn_figure(options_.nodisplay); %bar(SAmunorm(:,irel))
% % boxplot(SAmunorm','whis',10,'symbol','r.')
% myboxplot(SAmunorm',[],'.',[],10)
% set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@ -752,9 +752,9 @@ if opt_gsa.morris==1
% end
% xlabel(' ')
% title('\mu in the model')
% dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morrismu_par'],options_.nodisplay,options_.graph_format);
% dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_morrismu_par'],options_.nodisplay,options_.graph_format);
%
% hh=dyn_figure(options_.nodisplay); %bar(SAsignorm(:,irel))
% hh_fig=dyn_figure(options_.nodisplay); %bar(SAsignorm(:,irel))
% % boxplot(SAsignorm','whis',10,'symbol','r.')
% myboxplot(SAsignorm',[],'.',[],10)
% set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@ -767,7 +767,7 @@ if opt_gsa.morris==1
% end
% xlabel(' ')
% title('\sigma in the model')
% dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morrissig_par'],options_.nodisplay,options_.graph_format);
% dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_morrissig_par'],options_.nodisplay,options_.graph_format);
% figure, bar(SAnorm(:,irel)')
% set(gca,'xtick',[1:j0])
@ -1521,7 +1521,7 @@ else % main effects analysis
% SAmeanexo=mean(SAmomN(:,1:nshock));
% figure, bar(latent'*SAcc),
hh=dyn_figure(options_.nodisplay,'Name',['Identifiability indices in the ',fsuffix,' moments.']);
hh_fig=dyn_figure(options_.nodisplay,'Name',['Identifiability indices in the ',fsuffix,' moments.']);
bar(sum(SAcc))
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
set(gca,'xlim',[0.5 npT+0.5])
@ -1534,7 +1534,7 @@ else % main effects analysis
end
xlabel(' ')
title(['Identifiability indices in the ',fsuffix,' moments.'],'interpreter','none')
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_ident_ALL',fsuffix],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[OutputDirectoryName,'/',fname_,'_ident_ALL',fsuffix],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_ident_ALL',fsuffix],1,['Identifiability indices in the ',fsuffix,' moments.'],['ident_ALL',fsuffix]',1)
% figure, bar(SAmeanexo),

8
matlab/gsa/pick.m
View File

@ -1,7 +1,7 @@
function pick
%
% Copyright © 2001-2017 European Commission
% Copyright © 2017 DynareTeam
% Copyright © 2017-2023 DynareTeam
% This file is part of GLUEWIN
% GLUEWIN is a MATLAB code designed for analysing the output
@ -68,9 +68,9 @@ KK=K;
set(button1,'Label',['Save ',num2str(K)],'Callback',['scatter_callback(',num2str(KK),',''save'')']);
set(button2,'Label',['Eval ',num2str(K)],'Callback',['scatter_callback(',num2str(KK),',''eval'')']);
hh=findobj(gcf,'type','axes','Tag','scatter');
for k=1:length(hh)
axes(hh(k));
hh_obj=findobj(gcf,'type','axes','Tag','scatter');
for k=1:length(hh_obj)
axes(hh_obj(k));
dum=get(gca,'children');
dumx=get(dum(end),'xdata');
dumy=get(dum(end),'ydata');

40
matlab/gsa/redform_map.m
View File

@ -16,7 +16,7 @@ function redform_map(dirname,options_gsa_)
% marco.ratto@ec.europa.eu
% Copyright © 2012-2016 European Commission
% Copyright © 2012-2018 Dynare Team
% Copyright © 2012-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -165,7 +165,7 @@ for j = 1:length(anamendo)
if (max(y0)-min(y0))>1.e-10
if mod(iplo,9)==0 && isempty(threshold) && ~options_.nograph
ifig=ifig+1;
hfig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ', namendo,' vs shocks ',int2str(ifig)]);
hh_fig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ', namendo,' vs shocks ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@ -273,7 +273,7 @@ for j = 1:length(anamendo)
end
if isempty(threshold) && ~options_.nograph
figure(hfig)
figure(hh_fig)
subplot(3,3,iplo),
if ilog
[saso, iso] = sort(-silog(:,js));
@ -292,7 +292,7 @@ for j = 1:length(anamendo)
end
title([logflag,' ',namendo,' vs ',namexo],'interpreter','none')
if iplo==9
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],[logflag,' ',strrep(namendo,'_','\_'),' vs ',strrep(namexo,'_','\_')],['redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],1)
end
end
@ -303,7 +303,7 @@ for j = 1:length(anamendo)
end
end
if iplo<9 && iplo>0 && ifig && ~options_.nograph
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],[logflag,' ',strrep(namendo,'_','\_'),' vs ',strrep(namexo,'_','\_')],['redform_', namendo,'_vs_shocks_',logflag,num2str(ifig)],options_.figures.textwidth*min(iplo/3,1))
end
ifig=0;
@ -320,7 +320,7 @@ for j = 1:length(anamendo)
if (max(y0)-min(y0))>1.e-10
if mod(iplo,9)==0 && isempty(threshold) && ~options_.nograph
ifig=ifig+1;
hfig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ' namendo,' vs lags ',int2str(ifig)]);
hh_fig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ' namendo,' vs lags ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@ -429,7 +429,7 @@ for j = 1:length(anamendo)
end
if isempty(threshold) && ~options_.nograph
figure(hfig),
figure(hh_fig),
subplot(3,3,iplo),
if ilog
[saso, iso] = sort(-silog(:,js));
@ -448,7 +448,7 @@ for j = 1:length(anamendo)
end
title([logflag,' ',namendo,' vs ',namlagendo,'(-1)'],'interpreter','none')
if iplo==9
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],[logflag,' ',strrep(namendo,'_','\_'),' vs ',strrep(namlagendo,'_','\_'),'(-1)'],['redform_', namendo,'_vs_lags_',logflag,':',num2str(ifig)],1)
end
end
@ -459,14 +459,14 @@ for j = 1:length(anamendo)
end
end
if iplo<9 && iplo>0 && ifig && ~options_.nograph
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_', namendo,'_vs_lags_',logflag,num2str(ifig)],[logflag,' ',strrep(namendo,'_','\_'),' vs ',strrep(namlagendo,'_','\_'),'(-1)'],['redform_', namendo,'_vs_lags_',logflag,':',num2str(ifig)],options_.figures.textwidth*min(iplo/3,1));
end
end
if isempty(threshold) && ~options_.nograph
if ilog==0
hfig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(si)
hh_fig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(si)
% boxplot(si','whis',10,'symbol','r.')
myboxplot(si',[],'.',[],10)
xlabel(' ')
@ -478,11 +478,11 @@ if isempty(threshold) && ~options_.nograph
text(ip,-0.02,deblank(pnames(ip,:)),'rotation',90,'HorizontalAlignment','right','interpreter','none')
end
title('Reduced form GSA')
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_gsa'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_gsa'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_gsa'],'Reduced Form GSA','redform_gsa')
else
hfig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(silog)
hh_fig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(silog)
% boxplot(silog','whis',10,'symbol','r.')
myboxplot(silog',[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:np])
@ -494,7 +494,7 @@ if isempty(threshold) && ~options_.nograph
text(ip,-0.02,deblank(pnames(ip,:)),'rotation',90,'HorizontalAlignment','right','interpreter','none')
end
title('Reduced form GSA - Log-transformed elements')
dyn_saveas(hfig,[dirname,filesep,M_.fname,'_redform_gsa_log'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,M_.fname,'_redform_gsa_log'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_gsa_log'],'Reduced form GSA - Log-transformed elements','redform_gsa_log')
end
@ -560,7 +560,7 @@ if iload==0
y1 = log(y0*isig+lam);
end
if ~options_.nograph
hfig=dyn_figure(options_.nodisplay,'name',options_map.figtitle);
hh_fig=dyn_figure(options_.nodisplay,'name',options_map.figtitle);
subplot(221)
if ilog
hist(y1,30)
@ -647,7 +647,7 @@ if iload==0
gsa_.x0=x0(ifit,:);
% copyfile([fname,'_est.mat'],[fname,'.mat'])
if ~options_.nograph
figure(hfig);
figure(hh_fig);
subplot(223),
plot(y0(ifit),[gsa_.fit y0(ifit)],'.'),
r2 = gsa_.r2;
@ -672,7 +672,7 @@ if iload==0
plot(yn,[yf yn],'.'),
title(['Out-of-sample prediction - R2=' num2str(r2,2)],'interpreter','none')
end
dyn_saveas(hfig,fname,options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,fname,options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,fname,['Out-of-sample prediction - R2=' num2str(r2,2)],'redform_gsa_log')
if options_.nodisplay
@ -685,10 +685,10 @@ else
load([fname,'_map.mat'],'gsa_')
if ~options_.nograph
yf = ss_anova_fcast(x0, gsa_);
hfig=dyn_figure(options_.nodisplay,'name',options_map.title);
hh_fig=dyn_figure(options_.nodisplay,'name',options_map.title);
plot(y0,[yf y0],'.'),
title([namy,' vs ', namx,' pred'],'interpreter','none')
dyn_saveas(hfig,[fname '_pred'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[fname '_pred'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[fname '_pred'],options_map.title,[namy,' vs ', namx,' pred'])
end
@ -762,7 +762,7 @@ return
function indmcf = redform_mcf(y0, x0, options_mcf, options_)
hfig=dyn_figure(options_.nodisplay,'name',options_mcf.amcf_title);
hh_fig=dyn_figure(options_.nodisplay,'name',options_mcf.amcf_title);
[post_mean, post_median, post_var, hpd_interval, post_deciles, ...
density] = posterior_moments(y0,1,0.9);
@ -813,7 +813,7 @@ if ~isoctave
'horizontalalignment','center');
end
dyn_saveas(hfig,[options_mcf.OutputDirectoryName filesep options_mcf.fname_,'_',options_mcf.amcf_name],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[options_mcf.OutputDirectoryName filesep options_mcf.fname_,'_',options_mcf.amcf_name],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[options_mcf.OutputDirectoryName filesep options_mcf.fname_,'_',options_mcf.amcf_name],strrep(options_mcf.amcf_title,'_','\_'),[options_mcf.fname_,'_',options_mcf.amcf_name])
return

18
matlab/gsa/redform_screen.m
View File

@ -11,7 +11,7 @@ function redform_screen(dirname, options_gsa_)
% marco.ratto@ec.europa.eu
% Copyright © 2012-2016 European Commission
% Copyright © 2012-2018 Dynare Team
% Copyright © 2012-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -66,7 +66,7 @@ for j=1:size(anamendo,1)
if ~isempty(y0)
if mod(iplo,9)==0
ifig = ifig+1;
hh = dyn_figure(options_.nodisplay, 'name', [namendo,[' vs. shocks '], int2str(ifig)]);
hh_fig = dyn_figure(options_.nodisplay, 'name', [namendo,[' vs. shocks '], int2str(ifig)]);
iplo = 0;
end
iplo = iplo+1;
@ -84,7 +84,7 @@ for j=1:size(anamendo,1)
end
title([namendo,' vs. ',namexo],'interpreter','none')
if iplo==9
dyn_saveas(hh,[dirname,'/',M_.fname,'_', namendo,'_vs_shock_',num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,'/',M_.fname,'_', namendo,'_vs_shock_',num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,'/',M_.fname,'_', namendo,'_vs_shock_',num2str(ifig)],ifig,[namendo,' vs. shocks ',int2str(ifig)],[namendo,'_vs_shock'],1)
end
@ -92,7 +92,7 @@ for j=1:size(anamendo,1)
end
end
if iplo<9 && iplo>0 && ifig
dyn_saveas(hh,[dirname,'/',M_.fname,'_', namendo,'_vs_shocks_',num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,'/',M_.fname,'_', namendo,'_vs_shocks_',num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,'/',M_.fname,'_', namendo,'_vs_shock_',num2str(ifig)],ifig,[namendo,' vs. shocks ',int2str(ifig)],[namendo,'_vs_shock'],options_.figures.textwidth*min(iplo/3))
end
@ -107,7 +107,7 @@ for j=1:size(anamendo,1)
if ~isempty(y0)
if mod(iplo,9)==0
ifig=ifig+1;
hh=dyn_figure(options_.nodisplay,'name',[namendo,' vs. lagged endogenous ',int2str(ifig)]);
hh_fig=dyn_figure(options_.nodisplay,'name',[namendo,' vs. lagged endogenous ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@ -127,19 +127,19 @@ for j=1:size(anamendo,1)
title([namendo,' vs. ',namlagendo,'(-1)'],'interpreter','none')
if iplo==9
dyn_saveas(hh,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],ifig,[namendo,' vs. lagged endogenous ',int2str(ifig)],[namendo,'_vs_lags'],1)
end
end
end
end
if iplo<9 && iplo>0 && ifig
dyn_saveas(hh,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,'/',M_.fname,'_', namendo,'_vs_lags_',num2str(ifig)],ifig,[namendo,' vs. lagged endogenous ',int2str(ifig)],[namendo,'_vs_lags'],options_.figures.textwidth*min(iplo/3))
end
end
hh=dyn_figure(options_.nodisplay,'Name','Reduced form screening');
hh_fig=dyn_figure(options_.nodisplay,'Name','Reduced form screening');
%bar(SA)
% boxplot(SA','whis',10,'symbol','r.')
myboxplot(SA',[],'.',[],10)
@ -153,7 +153,7 @@ end
xlabel(' ')
ylabel('Elementary Effects')
title('Reduced form screening')
dyn_saveas(hh,[dirname,'/',M_.fname,'_redform_screen'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,'/',M_.fname,'_redform_screen'],options_.nodisplay,options_.graph_format);
create_TeX_loader(options_,[dirname,'/',M_.fname,'_redform_screen'],1,'Reduced form screening','redform_screen',1)

6
matlab/gsa/scatter_mcf.m
View File

@ -5,7 +5,7 @@ function scatter_mcf(X,Y,vnames,plotsymbol, fnam, dirname, figtitle, xparam1, D
% marco.ratto@ec.europa.eu
% Copyright © 2014-2016 European Commission
% Copyright © 2014-2017 Dynare Team
% Copyright © 2014-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -84,7 +84,7 @@ figtitle_tex=strrep(figtitle,'_','\_');
fig_nam_=[fnam];
if ~nograph
hh=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
hh_fig=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
end
bf = 0.1;
@ -166,7 +166,7 @@ if ~isoctave
end
if ~nograph
dyn_saveas(hh,[dirname,filesep,fig_nam_],DynareOptions.nodisplay,DynareOptions.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fig_nam_],DynareOptions.nodisplay,DynareOptions.graph_format);
if DynareOptions.TeX && any(strcmp('eps',cellstr(DynareOptions.graph_format)))
fidTeX = fopen([dirname,'/',fig_nam_ '.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by scatter_mcf.m (Dynare).\n');

8
matlab/gsa/scatter_plots.m
View File

@ -6,7 +6,7 @@ function scatter_plots(X,xp,vnames,plotsymbol, fnam, dirname, figtitle, xparam1,
%
% Copyright © 2017 European Commission
% Copyright © 2017 Dynare Team
% Copyright © 2017-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -73,8 +73,8 @@ figtitle_tex=strrep(figtitle,'_','\_');
fig_nam_=[fnam];
hh=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
set(hh,'userdata',{X,xp})
hh_fig=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
set(hh_fig,'userdata',{X,xp})
bf = 0.1;
ffs = 0.05/(p-1);
@ -172,7 +172,7 @@ end
% end
if ~nograph
dyn_saveas(hh,[dirname,filesep,fig_nam_],DynareOptions.nodisplay,DynareOptions.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fig_nam_],DynareOptions.nodisplay,DynareOptions.graph_format);
if DynareOptions.TeX && any(strcmp('eps',cellstr(DynareOptions.graph_format)))
fidTeX = fopen([dirname,'/',fig_nam_ '.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by scatter_plots.m (Dynare).\n');

8
matlab/gsa/stab_map_1.m
View File

@ -21,7 +21,7 @@ function [proba, dproba] = stab_map_1(lpmat, ibehaviour, inonbehaviour, aname, i
% marco.ratto@ec.europa.eu
% Copyright © 2012-2016 European Commission
% Copyright © 2012-2017 Dynare Team
% Copyright © 2012-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -82,7 +82,7 @@ if iplot && ~options_.nograph
ftit=bayestopt_.name(ipar+nshock*(1-ishock));
for i=1:ceil(nparplot/12)
hh=dyn_figure(options_.nodisplay,'name',atitle);
hh_fig=dyn_figure(options_.nodisplay,'name',atitle);
for j=1+12*(i-1):min(nparplot,12*i)
subplot(3,4,j-12*(i-1))
if ~isempty(ibehaviour)
@ -98,7 +98,7 @@ if iplot && ~options_.nograph
title([ftit{j},'. p-value ', num2str(proba(ipar(j)),2)],'interpreter','none')
end
if nparplot>12
dyn_saveas(hh,[dirname,filesep,fname_,'_',aname,'_SA_',int2str(i)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fname_,'_',aname,'_SA_',int2str(i)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([dirname,filesep,fname_,'_',aname,'_SA_',int2str(i) '.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by stab_map_1.m (Dynare).\n');
@ -113,7 +113,7 @@ if iplot && ~options_.nograph
fclose(fidTeX);
end
else
dyn_saveas(hh,[dirname,filesep,fname_,'_',aname,'_SA'],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fname_,'_',aname,'_SA'],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([dirname,filesep,fname_,'_',aname,'_SA.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by stab_map_1.m (Dynare).\n');

8
matlab/gsa/stab_map_2.m
View File

@ -6,7 +6,7 @@ function indcorr = stab_map_2(x,alpha2, pvalue_crit, fnam, dirname,xparam1,figti
% marco.ratto@ec.europa.eu
% Copyright © 2011-2016 European Commission
% Copyright © 2011-2018 Dynare Team
% Copyright © 2011-2023 Dynare Team
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
@ -118,7 +118,7 @@ for j=1:npar
if ~nograph
if mod(j2,12)==1
ifig=ifig+1;
hh=dyn_figure(options_.nodisplay,'name',[figtitle,' sample bivariate projection ', num2str(ifig)]);
hh_fig=dyn_figure(options_.nodisplay,'name',[figtitle,' sample bivariate projection ', num2str(ifig)]);
end
subplot(3,4,j2-(ifig-1)*12)
% bar(c0(i2,j)),
@ -141,7 +141,7 @@ for j=1:npar
end
title(['cc = ',num2str(c0(i2(jx),j))])
if (mod(j2,12)==0) && j2>0
dyn_saveas(hh,[dirname,filesep,fig_nam_,int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fig_nam_,int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([dirname,filesep,fig_nam_,int2str(ifig),'.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by stab_map_2.m (Dynare).\n');
@ -162,7 +162,7 @@ for j=1:npar
end
end
if ~nograph && (j==(npar)) && j2>0 && (mod(j2,12)~=0)
dyn_saveas(hh,[dirname,filesep,fig_nam_,int2str(ifig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[dirname,filesep,fig_nam_,int2str(ifig)],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([dirname,filesep,fig_nam_,int2str(ifig),'.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by stab_map_2.m (Dynare).\n');

4
matlab/mh_autocorrelation_function.m
View File

@ -93,7 +93,7 @@ if options_.mh_nblck>1
FigureName = [ FigureName , ' (block number' int2str(blck) ').'];
end
hh=dyn_figure(options_.nodisplay,'Name',FigureName);
hh_fig=dyn_figure(options_.nodisplay,'Name',FigureName);
bar(0:options_.mh_autocorrelation_function_size,autocor,'k');
axis tight
@ -106,4 +106,4 @@ if ~exist([M_.dname filesep 'graphs'])
end
plot_name=get_the_name(column,0,M_,estim_params_,options_);
dyn_saveas(hh,[M_.dname, filesep, 'graphs', filesep, 'MH_Autocorrelation_' plot_name],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname, filesep, 'graphs', filesep, 'MH_Autocorrelation_' plot_name],options_.nodisplay,options_.graph_format)

10
matlab/missing_DiffuseKalmanSmootherH3_Z.m
View File

@ -64,7 +64,7 @@ function [alphahat,epsilonhat,etahat,a,P1,aK,PK,decomp,V, aalphahat,eetahat,d,al
% Models", S.J. Koopman and J. Durbin (2003), in Journal of Time Series
% Analysis, vol. 24(1), pp. 85-98.
% Copyright © 2004-2021 Dynare Team
% Copyright © 2004-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -315,8 +315,8 @@ if isoccbin
% kalman update is not yet robust to accommodate diffuse steps
end
if occbin_options.opts_regime.waitbar
hh = dyn_waitbar(0,'Occbin: Piecewise Kalman Filter');
set(hh,'Name','Occbin: Piecewise Kalman Filter.');
hh_fig = dyn_waitbar(0,'Occbin: Piecewise Kalman Filter');
set(hh_fig,'Name','Occbin: Piecewise Kalman Filter.');
waitbar_indicator=1;
else
waitbar_indicator=0;
@ -346,7 +346,7 @@ while notsteady && t<smpl
di = data_index{t}';
if t>=first_period_occbin_update
if waitbar_indicator
dyn_waitbar(t/smpl, hh, sprintf('Period %u of %u', t,smpl));
dyn_waitbar(t/smpl, hh_fig, sprintf('Period %u of %u', t,smpl));
end
occbin_options.opts_regime.waitbar=0;
if t==1
@ -530,7 +530,7 @@ while notsteady && t<smpl
end
end
if waitbar_indicator
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
end
P1(:,:,t+1) = P(:,:,t+1);

10
matlab/nonlinear-filters/online_auxiliary_filter.m
View File

@ -21,7 +21,7 @@ function [pmean, pmode, pmedian, pstdev, p025, p975, covariance] = online_auxili
% - p975 [double] n×1 vector, 97.5 percent of the particles are below p975(i) for i=1,…,n.
% - covariance [double] n×n matrix, covariance of the particles at the end of the sample.
% Copyright © 2013-2022 Dynare Team
% Copyright © 2013-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -386,7 +386,7 @@ if TeX
end
for plt = 1:nbplt
hh = dyn_figure(DynareOptions.nodisplay,'Name','Parameters Trajectories');
hh_fig = dyn_figure(DynareOptions.nodisplay,'Name','Parameters Trajectories');
for k=1:length(pmean)
subplot(nr,nc,k)
[name,texname] = get_the_name(k,TeX,Model,EstimatedParameters,DynareOptions);
@ -405,7 +405,7 @@ for plt = 1:nbplt
axis tight
drawnow
end
dyn_saveas(hh, [Model.fname '_param_traj' int2str(plt)], DynareOptions.nodisplay, DynareOptions.graph_format);
dyn_saveas(hh_fig, [Model.fname '_param_traj' int2str(plt)], DynareOptions.nodisplay, DynareOptions.graph_format);
if TeX
% TeX eps loader file
fprintf(fidTeX,'\\begin{figure}[H]\n');
@ -423,7 +423,7 @@ number_of_grid_points = 2^9; % 2^9 = 512 !... Must be a power of two.
bandwidth = 0; % Rule of thumb optimal bandwidth parameter.
kernel_function = 'gaussian'; % Gaussian kernel for Fast Fourier Transform approximation.
for plt = 1:nbplt
hh = dyn_figure(DynareOptions.nodisplay,'Name','Parameters Densities');
hh_fig = dyn_figure(DynareOptions.nodisplay,'Name','Parameters Densities');
for k=1:length(pmean)
subplot(nr,nc,k)
[name,texname] = get_the_name(k,TeX,Model,EstimatedParameters,DynareOptions);
@ -441,7 +441,7 @@ for plt = 1:nbplt
axis tight
drawnow
end
dyn_saveas(hh,[ Model.fname '_param_density' int2str(plt) ],DynareOptions.nodisplay,DynareOptions.graph_format);
dyn_saveas(hh_fig,[ Model.fname '_param_density' int2str(plt) ],DynareOptions.nodisplay,DynareOptions.graph_format);
if TeX && any(strcmp('eps',cellstr(DynareOptions.graph_format)))
% TeX eps loader file
fprintf(fidTeX, '\\begin{figure}[H]\n');

10
matlab/olsgibbs.m
View File

@ -30,7 +30,7 @@ function ds = olsgibbs(ds, eqtag, BetaPriorExpectation, BetaPriorVariance, s2, n
% SPECIAL REQUIREMENTS
% dynare must have been run with the option: json=compute
% Copyright © 2018-2021 Dynare Team
% Copyright © 2018-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -183,11 +183,11 @@ for i=1:discarddraws
h = gamrnd(PosteriorDegreesOfFreedom/2.0, 2.0/(PosteriorDegreesOfFreedom*s2_));
end
hh = dyn_waitbar(0,'Please wait. Gibbs sampler...');
set(hh,'Name','Olsgibbs estimation.');
hh_fig = dyn_waitbar(0,'Please wait. Gibbs sampler...');
set(hh_fig,'Name','Olsgibbs estimation.');
for i = discarddraws+1:ndraws
if ~mod(i,10)
dyn_waitbar((i-discarddraws)/(ndraws-discarddraws),hh,'Please wait. Gibbs sampler...');
dyn_waitbar((i-discarddraws)/(ndraws-discarddraws),hh_fig,'Please wait. Gibbs sampler...');
end
% Set conditional distribution of β
InverseConditionalPoseriorVariance = BetaInversePriorVariance + h*(X'*X);
@ -211,7 +211,7 @@ for i = discarddraws+1:ndraws
periods = periods+1;
end
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
%% Save posterior moments.
oo_.olsgibbs.(model_name).posterior.mean.beta = mean(oo_.olsgibbs.(model_name).draws(:,1:n))';

34
matlab/optimization/gmhmaxlik_core.m
View File

@ -56,7 +56,7 @@ function [PostMod,PostVar,Scale,PostMean] = gmhmaxlik_core(ObjFun,xparam1,mh_bou
% SPECIAL REQUIREMENTS
% None.
% Copyright © 2006-2017 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -87,8 +87,8 @@ CovJump = VarCov;
ModePar = xparam1;
%% [1] I tune the scale parameter.
hh = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh,'Name','Tuning of the scale parameter.');
hh_fig = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh_fig,'Name','Tuning of the scale parameter.');
j = 1; jj = 1;
isux = 0; jsux = 0; test = 0;
ix2 = ModePar;% initial condition!
@ -119,7 +119,7 @@ while j<=MaxNumberOfTuningSimulations
end % ... otherwise I don't move.
prtfrc = j/MaxNumberOfTuningSimulations;
if mod(j, 10)==0
dyn_waitbar(prtfrc,hh,sprintf('Acceptance ratio [during last 500]: %f [%f]',isux/j,jsux/jj));
dyn_waitbar(prtfrc,hh_fig,sprintf('Acceptance ratio [during last 500]: %f [%f]',isux/j,jsux/jj));
end
if j/500 == round(j/500)
test1 = jsux/jj;
@ -141,10 +141,10 @@ while j<=MaxNumberOfTuningSimulations
jj = jj + 1;
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
%% [2] One block metropolis, I update the covariance matrix of the jumping distribution
hh = dyn_waitbar(0,'Metropolis-Hastings...');
set(hh,'Name','Estimation of the posterior covariance...'),
hh_fig = dyn_waitbar(0,'Metropolis-Hastings...');
set(hh_fig,'Name','Estimation of the posterior covariance...'),
j = 1;
isux = 0;
ilogpo2 = - feval(ObjFun,ix2,varargin{:});
@ -169,7 +169,7 @@ while j<= NumberOfIterations
end % ... otherwise I don't move.
prtfrc = j/NumberOfIterations;
if mod(j, 10)==0
dyn_waitbar(prtfrc,hh,sprintf('Acceptance ratio: %f',isux/j));
dyn_waitbar(prtfrc,hh_fig,sprintf('Acceptance ratio: %f',isux/j));
end
% I update the covariance matrix and the mean:
oldMeanPar = MeanPar;
@ -177,7 +177,7 @@ while j<= NumberOfIterations
CovJump = CovJump + oldMeanPar*oldMeanPar' - MeanPar*MeanPar' + ...
(1/j)*(ix2*ix2' - CovJump - oldMeanPar*oldMeanPar');
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
PostVar = CovJump;
PostMean = MeanPar;
%% [3 & 4] I tune the scale parameter (with the new covariance matrix) if
@ -185,8 +185,8 @@ PostMean = MeanPar;
%% updating the covariance matrix)...
if strcmpi(info,'LastCall')
hh = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh,'Name','Tuning of the scale parameter.'),
hh_fig = dyn_waitbar(0,'Tuning of the scale parameter...');
set(hh_fig,'Name','Tuning of the scale parameter.'),
j = 1; jj = 1;
isux = 0; jsux = 0;
test = 0;
@ -212,7 +212,7 @@ if strcmpi(info,'LastCall')
end % ... otherwise I don't move.
prtfrc = j/MaxNumberOfTuningSimulations;
if mod(j, 10)==0
dyn_waitbar(prtfrc,hh,sprintf('Acceptance ratio [during last 1000]: %f [%f]',isux/j,jsux/jj));
dyn_waitbar(prtfrc,hh_fig,sprintf('Acceptance ratio [during last 1000]: %f [%f]',isux/j,jsux/jj));
end
if j/1000 == round(j/1000)
test1 = jsux/jj;
@ -229,14 +229,14 @@ if strcmpi(info,'LastCall')
j = j+1;
jj = jj + 1;
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
Scale = iScale;
%%
%% Now I climb the hill
%%
if options.nclimb
hh = dyn_waitbar(0,' ');
set(hh,'Name','Now I am climbing the hill...'),
hh_fig = dyn_waitbar(0,' ');
set(hh_fig,'Name','Now I am climbing the hill...'),
j = 1; jj = 1;
jsux = 0;
test = 0;
@ -254,7 +254,7 @@ if strcmpi(info,'LastCall')
end % otherwise I don't move...
prtfrc = j/MaxNumberOfClimbingSimulations;
if mod(j, 10)==0
dyn_waitbar(prtfrc,hh,sprintf('%f Jumps / MaxStepSize %f',jsux,sqrt(max(diag(iScale*CovJump)))));
dyn_waitbar(prtfrc,hh_fig,sprintf('%f Jumps / MaxStepSize %f',jsux,sqrt(max(diag(iScale*CovJump)))));
end
if j/200 == round(j/200)
if jsux<=1
@ -275,7 +275,7 @@ if strcmpi(info,'LastCall')
j = j+1;
jj = jj + 1;
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
end %climb
else
Scale = iScale;

6
matlab/plot_icforecast.m
View File

@ -13,7 +13,7 @@ function plot_icforecast(Variables,periods,options_,oo_)
% SPECIAL REQUIREMENTS
% This routine has to be called after imcforecast.m.
% Copyright © 2006-2019 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -59,7 +59,7 @@ for i=1:length(Variables)
end
function build_figure(name,cci1,cci2,mm1,mm2,options_,graphoptions)
hh = dyn_figure(options_.nodisplay,'Name',['Conditional forecast (' graphoptions.title ,'): ' name '.']);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Conditional forecast (' graphoptions.title ,'): ' name '.']);
H = length(mm1);
h1 = area(1:H,cci1(2,1:H),'BaseValue',min([min(cci1(1,:)),min(cci2(1,:))]),'FaceColor',[.9 .9 .9]);
hold on
@ -70,4 +70,4 @@ plot(1:H,cci2(1,:),'--k','linewidth',1)
plot(1:H,cci2(2,:),'--k','linewidth',1)
axis tight
hold off
dyn_saveas(hh,[graphoptions.OutputDirectoryName '/Conditional_forecast_',strrep(deblank(graphoptions.title),' ','_'),'_',name],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[graphoptions.OutputDirectoryName '/Conditional_forecast_',strrep(deblank(graphoptions.title),' ','_'),'_',name],options_.nodisplay,options_.graph_format)

22
matlab/plot_identification.m
View File

@ -19,7 +19,7 @@ function plot_identification(params, idemoments, idehess, idemodel, idelre, adva
% SPECIAL REQUIREMENTS
% None
% Copyright © 2008-2021 Dynare Team
% Copyright © 2008-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -55,7 +55,7 @@ tittxt1=regexprep(tittxt, ' ', '_');
tittxt1=strrep(tittxt1, '.', '');
if SampleSize == 1
si_dMOMENTS = idemoments.si_dMOMENTS;
hh = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Identification using info from observables']);
hh_fig = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Identification using info from observables']);
subplot(211)
mmm = (idehess.ide_strength_dMOMENTS);
[ss, is] = sort(mmm);
@ -156,7 +156,7 @@ if SampleSize == 1
fprintf(fidTeX,'%% End Of TeX file. \n');
fclose(fidTeX);
end
dyn_saveas(hh,[IdentifDirectoryName '/' M_.fname '_ident_strength_' tittxt1],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[IdentifDirectoryName '/' M_.fname '_ident_strength_' tittxt1],options_.nodisplay,options_.graph_format);
if advanced
if ~options_.nodisplay
@ -166,7 +166,7 @@ if SampleSize == 1
if all(isnan([si_dMOMENTSnorm';si_dTAUnorm';si_dLREnorm']))
fprintf('\nIDENTIFICATION: Skipping sensitivity plot, because standard deviation of parameters is NaN, possibly due to the use of ML.\n')
else
hh = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Sensitivity plot']);
hh_fig = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Sensitivity plot']);
subplot(211)
mmm = (si_dMOMENTSnorm)'./max(si_dMOMENTSnorm);
mmm1 = (si_dTAUnorm)'./max(si_dTAUnorm);
@ -185,7 +185,7 @@ if SampleSize == 1
end
legend('Moments','Model','LRE model','Location','Best')
title('Sensitivity bars using derivatives (log-scale)')
dyn_saveas(hh,[IdentifDirectoryName '/' M_.fname '_sensitivity_' tittxt1 ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[IdentifDirectoryName '/' M_.fname '_sensitivity_' tittxt1 ],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([IdentifDirectoryName '/' M_.fname '_sensitivity_' tittxt1,'.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by plot_identification.m (Dynare).\n');
@ -219,7 +219,7 @@ if SampleSize == 1
end
% fprintf('%-15s [%s] %10.3f\n',name{i},namx,idemoments.cosndMOMENTS(i,j))
end
hh = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Collinearity patterns with ', int2str(j) ,' parameter(s)']);
hh_fig = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Collinearity patterns with ', int2str(j) ,' parameter(s)']);
imagesc(pax,[0 1]);
set(gca,'xticklabel','')
set(gca,'yticklabel','')
@ -239,7 +239,7 @@ if SampleSize == 1
set(gca,'xgrid','on')
set(gca,'ygrid','on')
xlabel([tittxt,' - Collinearity patterns with ', int2str(j) ,' parameter(s)'],'interpreter','none')
dyn_saveas(hh,[ IdentifDirectoryName '/' M_.fname '_ident_collinearity_' tittxt1 '_' int2str(j) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ IdentifDirectoryName '/' M_.fname '_ident_collinearity_' tittxt1 '_' int2str(j) ],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([ IdentifDirectoryName '/' M_.fname '_ident_collinearity_' tittxt1 '_' int2str(j),'.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by plot_identification.m (Dynare).\n');
@ -337,7 +337,7 @@ if SampleSize == 1
end
else
hh = dyn_figure(options_.nodisplay,'Name',['MC sensitivities']);
hh_fig = dyn_figure(options_.nodisplay,'Name',['MC sensitivities']);
subplot(211)
mmm = (idehess.ide_strength_dMOMENTS);
[ss, is] = sort(mmm);
@ -363,7 +363,7 @@ else
legend('Moments','Model','LRE model','Location','Best')
end
title('MC mean of sensitivity measures')
dyn_saveas(hh,[ IdentifDirectoryName '/' M_.fname '_MC_sensitivity' ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[ IdentifDirectoryName '/' M_.fname '_MC_sensitivity' ],options_.nodisplay,options_.graph_format);
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fidTeX = fopen([ IdentifDirectoryName '/' M_.fname '_MC_sensitivity.tex'],'w');
fprintf(fidTeX,'%% TeX eps-loader file generated by plot_identification.m (Dynare).\n');
@ -384,7 +384,7 @@ else
disp('Displaying advanced diagnostics')
end
% options_.nograph=1;
hh = dyn_figure(options_.nodisplay,'Name','MC Condition Number');
hh_fig = dyn_figure(options_.nodisplay,'Name','MC Condition Number');
subplot(221)
hist(log10(idemodel.cond))
title('log10 of Condition number in the model')
@ -394,7 +394,7 @@ else
subplot(223)
hist(log10(idelre.cond))
title('log10 of Condition number in the LRE model')
dyn_saveas(hh,[IdentifDirectoryName '/' M_.fname '_ident_COND' ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[IdentifDirectoryName '/' M_.fname '_ident_COND' ],options_.nodisplay,options_.graph_format);
options_mcf.pvalue_ks = 0.1;
options_mcf.pvalue_corr = 0.001;
options_mcf.alpha2 = 0;

10
matlab/pm3_core.m
View File

@ -13,7 +13,7 @@ function myoutput=pm3_core(myinputs,fpar,nvar,whoiam, ThisMatlab)
% SPECIAL REQUIREMENTS.
% None.
% Copyright © 2007-2018 Dynare Team
% Copyright © 2007-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -68,7 +68,7 @@ end
figunumber = 0;
subplotnum = 0;
hh = dyn_figure(options_.nodisplay,'Name',[tit1 ' ' int2str(figunumber+1)]);
hh_fig = dyn_figure(options_.nodisplay,'Name',[tit1 ' ' int2str(figunumber+1)]);
RemoteFlag = 0;
if whoiam
if Parallel(ThisMatlab).Local ==0
@ -81,7 +81,7 @@ OutputFileName = {};
for i=fpar:nvar
if max(abs(Mean(:,i))) > 10^(-6)
subplotnum = subplotnum+1;
set(0,'CurrentFigure',hh);
set(0,'CurrentFigure',hh_fig);
subplot(nn,nn,subplotnum);
if ~(all(all(Distrib(:,:,i)))>0 || ~all(all(Distrib(:,:,i)))<0)
plot([1 n2],[0 0],'-r','linewidth',0.5);
@ -115,14 +115,14 @@ for i=fpar:nvar
end
if subplotnum == MaxNumberOfPlotsPerFigure || i == nvar
dyn_saveas(hh,[M_.dname '/Output/' M_.fname '_' name3 '_' tit3{i}],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname '/Output/' M_.fname '_' name3 '_' tit3{i}],options_.nodisplay,options_.graph_format);
if RemoteFlag==1
OutputFileName = [OutputFileName; {[M_.dname, filesep, 'Output',filesep], [M_.fname '_' name3 '_' deblank(tit3(i,:)) '.*']}];
end
subplotnum = 0;
figunumber = figunumber+1;
if (i ~= nvar)
hh = dyn_figure(options_.nodisplay,'Name',[name3 ' ' int2str(figunumber+1)]);
hh_fig = dyn_figure(options_.nodisplay,'Name',[name3 ' ' int2str(figunumber+1)]);
end
end

12
matlab/posterior_sampler_core.m
View File

@ -174,12 +174,12 @@ for curr_block = fblck:nblck
refresh_rate = sampler_options.parallel_bar_refresh_rate;
bar_title = sampler_options.parallel_bar_title;
prc0=(curr_block-fblck)/(nblck-fblck+1)*(isoctave || options_.console_mode);
hh = dyn_waitbar({prc0,whoiam,options_.parallel(ThisMatlab)},[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ')...']);
hh_fig = dyn_waitbar({prc0,whoiam,options_.parallel(ThisMatlab)},[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ')...']);
else
refresh_rate = sampler_options.serial_bar_refresh_rate;
bar_title = sampler_options.serial_bar_title;
hh = dyn_waitbar(0,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ')...']);
set(hh,'Name',bar_title);
hh_fig = dyn_waitbar(0,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ')...']);
set(hh_fig,'Name',bar_title);
end
if mh_recover_flag==0
accepted_draws_this_chain = 0;
@ -207,9 +207,9 @@ for curr_block = fblck:nblck
prtfrc = draw_iter/nruns(curr_block);
if mod(draw_iter, refresh_rate)==0
if accepted_draws_this_chain/draw_iter==1 && sum(neval)>1
dyn_waitbar(prtfrc,hh,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ') ' sprintf('Function eval per draw %4.3f', feval_this_chain/draw_iter)]);
dyn_waitbar(prtfrc,hh_fig,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ') ' sprintf('Function eval per draw %4.3f', feval_this_chain/draw_iter)]);
else
dyn_waitbar(prtfrc,hh,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ') ' sprintf('Current acceptance ratio %4.3f', accepted_draws_this_chain/draw_iter)]);
dyn_waitbar(prtfrc,hh_fig,[bar_title ' (' int2str(curr_block) '/' int2str(options_.mh_nblck) ') ' sprintf('Current acceptance ratio %4.3f', accepted_draws_this_chain/draw_iter)]);
end
if save_tmp_file
[LastSeeds.(['file' int2str(NewFile(curr_block))]).Unifor, LastSeeds.(['file' int2str(NewFile(curr_block))]).Normal] = get_dynare_random_generator_state();
@ -265,7 +265,7 @@ for curr_block = fblck:nblck
draw_iter=draw_iter+1;
draw_index_current_file = draw_index_current_file + 1;
end % End of the simulations for one mh-block.
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
if nruns(curr_block)
record.AcceptanceRatio(curr_block) = accepted_draws_this_chain/(draw_iter-1);
record.FunctionEvalPerIteration(curr_block) = feval_this_chain/(draw_iter-1);

8
matlab/prior_sampler.m
View File

@ -85,13 +85,13 @@ file_indx_number = 0;
oo_.dr=set_state_space(oo_.dr,M_,options_);
hh = dyn_waitbar(0,'Please wait. Prior sampler...');
set(hh,'Name','Prior sampler.');
hh_fig = dyn_waitbar(0,'Please wait. Prior sampler...');
set(hh_fig,'Name','Prior sampler.');
% Simulations.
while iteration < NumberOfSimulations
if ~mod(iteration,10)
dyn_waitbar(iteration/NumberOfSimulations,hh,'Please wait. Prior sampler...');
dyn_waitbar(iteration/NumberOfSimulations,hh_fig,'Please wait. Prior sampler...');
end
loop_indx = loop_indx+1;
params = Prior.draw();
@ -162,7 +162,7 @@ while iteration < NumberOfSimulations
end
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
% Get informations about BK conditions and other things...
results.bk.indeterminacy_share = count_bk_indeterminacy/loop_indx;

14
matlab/rplot.m
View File

@ -14,7 +14,7 @@ function rplot(s1)
% SPECIAL REQUIREMENTS
% none
% Copyright © 2001-2021 Dynare Team
% Copyright © 2001-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -75,7 +75,7 @@ if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
end
if options_.rplottype == 0 %all in one plot
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
hh_fig=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
plot(ix(i),y(:,i)) ;
if options_.TeX
title (['Plot of $' strjoin(s1_TeX', '~') '$'],'Interpreter','latex') ;
@ -94,13 +94,13 @@ if options_.rplottype == 0 %all in one plot
legend(s1,'interpreter','none');
end
end
dyn_saveas(hh,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{1}],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{1}],options_.nodisplay,options_.graph_format)
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
create_TeX_loader(fidTeX,[M_.dname, '/graphs/', 'SimulatedTrajectory_' s1{1}],'Simulated trajectories','SimulatedTrajectory_',s1{1},1)
end
elseif options_.rplottype == 1 %separate figures each
for j = 1:size(y,1)
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
hh_fig=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
plot(ix(i),y(j,i)) ;
xlim([min(ix(i)) max(ix(i))])
if options_.TeX
@ -109,13 +109,13 @@ elseif options_.rplottype == 1 %separate figures each
title(['Plot of ' s1{j}],'Interpreter','none') ;
end
xlabel('Periods') ;
dyn_saveas(hh,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{j}],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{j}],options_.nodisplay,options_.graph_format)
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
create_TeX_loader(fidTeX,[M_.dname, '/graphs/', 'SimulatedTrajectory_' s1{j}],'Simulated trajectories','SimulatedTrajectory_',s1{j},1);
end
end
elseif options_.rplottype == 2 %different subplots
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
hh_fig=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
nl = max(1,fix(size(y,1)/4)) ;
nc = ceil(size(y,1)/nl) ;
for j = 1:size(y,1)
@ -137,7 +137,7 @@ elseif options_.rplottype == 2 %different subplots
end
axis tight;
end
dyn_saveas(hh,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{1}],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname, filesep, 'graphs', filesep, 'SimulatedTrajectory_' s1{1}],options_.nodisplay,options_.graph_format)
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
create_TeX_loader(fidTeX,[M_.dname, '/graphs/', 'SimulatedTrajectory_' s1{1}],'Simulated trajectories','SimulatedTrajectory_', s1{1},min(j/nc,1));
end

16
matlab/stoch_simul.m
View File

@ -310,10 +310,10 @@ if options_.irf
if nbplt == 0
elseif nbplt == 1
if options_.relative_irf
hh = dyn_figure(options_.nodisplay,'Name',['Relative response to' ...
hh_fig = dyn_figure(options_.nodisplay,'Name',['Relative response to' ...
' orthogonalized shock to ' tit{i}]);
else
hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to' ...
hh_fig = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to' ...
' ' tit{i}]);
end
for j = 1:number_of_plots_to_draw
@ -330,7 +330,7 @@ if options_.irf
title(deblank(mylist(j,:)),'Interpreter','none');
end
end
dyn_saveas(hh,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i}],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i}],options_.nodisplay,options_.graph_format);
if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');
@ -343,10 +343,10 @@ if options_.irf
else
for fig = 1:nbplt-1
if options_.relative_irf
hh = dyn_figure(options_.nodisplay,'Name',['Relative response to orthogonalized shock' ...
hh_fig = dyn_figure(options_.nodisplay,'Name',['Relative response to orthogonalized shock' ...
' to ' tit{i} ' figure ' int2str(fig)]);
else
hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i} ...
hh_fig = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i} ...
' figure ' int2str(fig)]);
end
for plt = 1:nstar
@ -363,7 +363,7 @@ if options_.irf
title(deblank(mylist((fig-1)*nstar+plt,:)),'Interpreter','none');
end
end
dyn_saveas(hh,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i} int2str(fig)],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i} int2str(fig)],options_.nodisplay,options_.graph_format);
if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');
@ -378,7 +378,7 @@ if options_.irf
fprintf(fidTeX,' \n');
end
end
hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i} ' figure ' int2str(nbplt) '.']);
hh_fig = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit{i} ' figure ' int2str(nbplt) '.']);
m = 0;
for plt = 1:number_of_plots_to_draw-(nbplt-1)*nstar
m = m+1;
@ -395,7 +395,7 @@ if options_.irf
title(deblank(mylist((nbplt-1)*nstar+plt,:)),'Interpreter','none');
end
end
dyn_saveas(hh,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i} int2str(nbplt) ],options_.nodisplay,options_.graph_format);
dyn_saveas(hh_fig,[M_.dname, '/graphs/' M_.fname '_IRF_' tit{i} int2str(nbplt) ],options_.nodisplay,options_.graph_format);
if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,'\\begin{figure}[H]\n');
fprintf(fidTeX,'\\centering \n');

10
matlab/surgibbs.m
View File

@ -27,7 +27,7 @@ function ds = surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin, eq
% Combination of Direct Monte Carlo and Importance Sampling Techniques.
% Bayesian Analysis Volume 5, Number 1, pp. 65-96.
% Copyright © 2017-2021 Dynare Team
% Copyright © 2017-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -106,12 +106,12 @@ if ~options_.noprint
disp('surgibbs: estimating, please wait...')
end
hh = dyn_waitbar(0,'Please wait. Gibbs sampler...');
set(hh,'Name','Surgibbs estimation.');
hh_fig = dyn_waitbar(0,'Please wait. Gibbs sampler...');
set(hh_fig,'Name','Surgibbs estimation.');
residdraws = zeros(floor((ndraws-discarddraws)/thin), nobs, m);
for i = 1:ndraws
if ~mod(i,10)
dyn_waitbar(i/ndraws,hh,'Please wait. Gibbs sampler...');
dyn_waitbar(i/ndraws,hh_fig,'Please wait. Gibbs sampler...');
end
% Draw Omega, given X, Y, Beta
resid = reshape(Y - X*beta, nobs, m);
@ -135,7 +135,7 @@ for i = 1:ndraws
end
end
end
dyn_waitbar_close(hh);
dyn_waitbar_close(hh_fig);
%
% Save results.

6
matlab/trace_plot.m
View File

@ -118,7 +118,7 @@ if n_nblocks_to_plot==1
if options_.mh_nblck>1
FigureName = [ FigureName , ' (block number ' int2str(blck) ').'];
end
hh=dyn_figure(options_.nodisplay,'Name',FigureName);
hh_fig=dyn_figure(options_.nodisplay,'Name',FigureName);
plot(1:TotalNumberOfMhDraws,PosteriorDraws,'Color',[.7 .7 .7]);
% Compute the moving average of the posterior draws:
@ -137,7 +137,7 @@ if n_nblocks_to_plot==1
axis tight
legend({'MCMC draw';[num2str(N) ' period moving average']},'Location','NorthEast')
else
hh=dyn_figure(options_.nodisplay,'Name',FigureName);
hh_fig=dyn_figure(options_.nodisplay,'Name',FigureName);
pp=plot(1:TotalNumberOfMhDraws,PosteriorDraws);
legend(pp,strcat(repmat({'Chain '},n_nblocks_to_plot,1),num2str(blck(:))));
end
@ -160,7 +160,7 @@ if n_nblocks_to_plot==1
else
plot_name=[plot_name,'_blck_',save_string];
end
dyn_saveas(hh,[M_.dname, filesep, 'graphs', filesep, 'TracePlot_' plot_name],options_.nodisplay,options_.graph_format)
dyn_saveas(hh_fig,[M_.dname, filesep, 'graphs', filesep, 'TracePlot_' plot_name],options_.nodisplay,options_.graph_format)
if options_.TeX
fid=fopen([M_.dname,'/graphs/',M_.fname,'_TracePlot_' plot_name,'.tex'],'w+');

8
tests/estimation/system_prior_restriction/Gali_2015.mod
View File

@ -147,13 +147,13 @@ end;
varobs yhat;
% Run prior function to get prior slope of the PC based on independent priors
hh=figure('Name','Slope of the Phillips Curve');
hh_fig=figure('Name','Slope of the Phillips Curve');
prior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.prior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,1)
plot(density(:,1),density(:,2));
title('Prior')
@ -165,7 +165,7 @@ posterior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.posterior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,2)
plot(density(:,1),density(:,2));
title('Updated Prior')
@ -178,7 +178,7 @@ posterior_function(function='Gali_2015_PC_slope');
PC_slope_vec=cell2mat(oo_.posterior_function_results(:,1));
optimal_bandwidth = mh_optimal_bandwidth(PC_slope_vec,length(PC_slope_vec),0,'gaussian');
[density(:,1),density(:,2)] = kernel_density_estimate(PC_slope_vec,512,length(PC_slope_vec),optimal_bandwidth,'gaussian');
figure(hh)
figure(hh_fig)
subplot(3,1,3)
plot(density(:,1),density(:,2));
title('Posterior')