Commit fc96f652 authored by Stéphane Adjemian's avatar Stéphane Adjemian
Browse files

Initialization of the output arguments before the declaration of the...

Initialization of the output arguments before the declaration of the persistent variable (matlab crashes otherwise).
parent ebc08c6d
function [fval,cost_flag,ys,trend_coeff,info,Model,DynareOptions,BayesInfo,DynareResults,DLIK,AHess] = DsgeLikelihood(xparam1,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults,derivatives_info)
function [fval,exit_flag,ys,trend_coeff,info,Model,DynareOptions,BayesInfo,DynareResults,DLIK,AHess] = DsgeLikelihood(xparam1,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults,derivatives_info)
% Evaluates the posterior kernel of a dsge model.
%@info:
......@@ -126,6 +126,14 @@ function [fval,cost_flag,ys,trend_coeff,info,Model,DynareOptions,BayesInfo,Dynar
% AUTHOR(S) stephane DOT adjemian AT univ DASH lemans DOT FR
% Initialization of the returned variables and others...
fval = [];
ys = [];
trend_coeff = [];
exit_flag = 1;
info = 0;
% Declaration of the penalty as a persistent variable.
persistent penalty
% Initialization of the persistent variable.
......@@ -138,13 +146,6 @@ if nargin==1
return
end
% Initialization of the returned variables and others...
fval = [];
ys = [];
trend_coeff = [];
exit_flag = 1;
nobs = DynareDataset.info.nvobs;
% Set flag related to analytical derivatives.
if nargout > 9
analytic_derivation=1;
......@@ -189,7 +190,7 @@ if EstimatedParameters.nvn
end
offset = offset+EstimatedParameters.nvn;
else
H = zeros(nobs);
H = zeros(DynareDataset.info.nvobs);
end
% Get the off-diagonal elements of the covariance matrix for the structural innovations. Test if Q is positive definite.
......@@ -274,7 +275,7 @@ BayesInfo.mf = BayesInfo.mf1;
% Define the constant vector of the measurement equation.
if DynareOptions.noconstant
constant = zeros(nobs,1);
constant = zeros(DynareDataset.info.nvobs,1);
else
if DynareOptions.loglinear
constant = log(SteadyState(BayesInfo.mfys));
......@@ -285,7 +286,7 @@ end
% Define the deterministic linear trend of the measurement equation.
if BayesInfo.with_trend
trend_coeff = zeros(nobs,1);
trend_coeff = zeros(DynareDataset.info.nvobs,1);
t = DynareOptions.trend_coeffs;
for i=1:length(t)
if ~isempty(t{i})
......
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