Merge branch 'master' into 'master'
Variable number of parameter MCMC convergence plots See merge request Dynare/dynare!2127remove-submodule
commit
ae67b4a145
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@ -48,6 +48,7 @@ MAX_nruns = ceil(options_.MaxNumberOfBytes/(npar+2)/8);
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load_last_mh_history_file(MetropolisFolder, ModelName);
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NumberOfMcFilesPerBlock = record.LastFileNumber;
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npardisp = options_.convergence.brooksgelman.plotrows;
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% Check that the declared number of blocks is consistent with informations saved in mh-history files.
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if ~isequal(nblck,record.Nblck)
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@ -284,12 +285,13 @@ end
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UDIAG(:,[2 4 6],:) = UDIAG(:,[2 4 6],:)/nblck;
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skipline()
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clear pmet temp moyenne CSUP CINF csup cinf n linea iter tmp;
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pages = floor(npar/3);
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pages = floor(npar/npardisp); % changed from 3 to npardisp
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k = 0;
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for i = 1:pages
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h=dyn_figure(options_.nodisplay,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman,1998)');
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boxplot = 1;
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for j = 1:3 % Loop over parameters
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for j = 1:npardisp % Loop over parameters %npardisp instead of 3
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k = k+1;
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[nam,namtex] = get_the_name(k,TeX,M_,estim_params_,options_);
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for crit = 1:3% Loop over criteria
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@ -306,7 +308,7 @@ for i = 1:pages
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plt2 = UDIAG(:,6,k);
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namnam = [nam , ' (m3)'];
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end
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subplot(3,3,boxplot);
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subplot(npardisp,3,boxplot); %Added more rows to display more variables
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plot(xx,plt1,'-b'); % Pooled
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hold on;
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plot(xx,plt2,'-r'); % Within (mean)
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@ -339,8 +341,8 @@ if reste
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if reste == 1
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nr = 3;
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nc = 1;
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elseif reste == 2
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nr = 2;
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else % Conditional for additional rows (variables) when not towards the end of the loop
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nr = npardisp;
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nc = 3;
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end
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h = dyn_figure(options_.nodisplay,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman, 1998)');
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@ -767,6 +767,8 @@ options_.convergence.geweke.geweke_interval=[0.2 0.5];
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%Raftery/Lewis convergence diagnostics;
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options_.convergence.rafterylewis.indicator=false;
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options_.convergence.rafterylewis.qrs=[0.025 0.005 0.95];
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%Brooks Gelman convergence plots
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options_.convergence.brooksgelman.plotrows=3;
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%tolerance for Modified Harmonic Mean estimator
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options_.marginal_data_density.harmonic_mean.tolerance = 0.01;
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