From 9833283354b331ee70b3999f6589e5d8cb8e1b33 Mon Sep 17 00:00:00 2001
From: Johannes Pfeifer <jpfeifer@gmx.de>
Date: Fri, 4 Apr 2025 12:23:08 +0200
Subject: [PATCH] Some header cosmetics [CI skip]
---
matlab/estimation/get_posterior_parameters.m | 8 ++++----
matlab/estimation/marginal_density.m | 7 ++++---
2 files changed, 8 insertions(+), 7 deletions(-)
diff --git a/matlab/estimation/get_posterior_parameters.m b/matlab/estimation/get_posterior_parameters.m
index ffec01826c..84d4c098ea 100644
--- a/matlab/estimation/get_posterior_parameters.m
+++ b/matlab/estimation/get_posterior_parameters.m
@@ -7,7 +7,9 @@ function xparam = get_posterior_parameters(type,M_,estim_params_,oo_,options_,fi
% o type [char] = 'mode' or 'mean'.
% o M_: [structure] Dynare structure describing the model.
% o estim_params_: [structure] Dynare structure describing the estimated parameters.
-% o field_1 [char] optional field like 'mle_'.
+% o oo_: [structure] Dynare results structure
+% o options_: [structure] Dynare options structure
+% o field_1 [char] optional field like 'mle_'.
%
% OUTPUTS
% o xparam vector of estimated parameters
@@ -15,7 +17,7 @@ function xparam = get_posterior_parameters(type,M_,estim_params_,oo_,options_,fi
% SPECIAL REQUIREMENTS
% None.
-% Copyright © 2006-2018 Dynare Team
+% Copyright © 2006-2025 Dynare Team
%
% This file is part of Dynare.
%
@@ -76,8 +78,6 @@ for i=1:ncn
m = m+1;
end
-FirstDeep = m;
-
for i=1:np
name1 = M_.param_names{estim_params_.param_vals(i,1)};
xparam(m) = oo_.([field1 type]).parameters.(name1);
diff --git a/matlab/estimation/marginal_density.m b/matlab/estimation/marginal_density.m
index eb8443a343..e0785f836e 100644
--- a/matlab/estimation/marginal_density.m
+++ b/matlab/estimation/marginal_density.m
@@ -3,10 +3,11 @@ function [marginal,oo_] = marginal_density(M_, options_, estim_params_, oo_, bay
% Computes the marginal density
%
% INPUTS
+% M_ [structure] Dynare model structure
% options_ [structure] Dynare options structure
% estim_params_ [structure] Dynare estimation parameter structure
-% M_ [structure] Dynare model structure
% oo_ [structure] Dynare results structure
+% bayestopt_ [structure] describing the priors
% outputFolderName [string] name of folder with results
%
% OUTPUTS
@@ -16,7 +17,7 @@ function [marginal,oo_] = marginal_density(M_, options_, estim_params_, oo_, bay
% SPECIAL REQUIREMENTS
% none
-% Copyright © 2005-2023 Dynare Team
+% Copyright © 2005-2025 Dynare Team
%
% This file is part of Dynare.
%
@@ -64,7 +65,7 @@ if ~isfield(oo_,'posterior_mode') || (options_.mh_replic && isequal(options_.pos
end
% save the posterior mean and the inverse of the covariance matrix
-% (usefull if the user wants to perform some computations using
+% (useful if the user wants to perform some computations using
% the posterior mean instead of the posterior mode ==> ).
parameter_names = bayestopt_.name;
save([M_.dname filesep outputFolderName filesep M_.fname '_mean.mat'],'xparam1','hh','parameter_names','SIGMA');
--
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