Merge branch 'further_cosmetics' of git.dynare.org:JohannesPfeifer/dynare

Ref. !2168
kalman-mex
Sébastien Villemot 2023-09-11 16:26:44 +02:00
commit f26a469208
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2 changed files with 1 additions and 44 deletions

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@ -1,42 +0,0 @@
function disp_model_summary(M,dr,options)
% function disp_model_summary(M)
% displays the model summary
%
% INPUTS
% M [matlab structure] Definition of the model.
% dr [matlab structure] Decision rules
% options [matlab structure] Options
%
% Copyright © 2001-2018 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
skipline()
disp('MODEL SUMMARY')
skipline()
disp([' Number of variables: ' int2str(M.endo_nbr)])
disp([' Number of stochastic shocks: ' int2str(M.exo_nbr)])
disp([' Number of state variables: ' ...
int2str(length(find(dr.kstate(:,2) <= M.maximum_lag+1)))])
disp([' Number of jumpers: ' ...
int2str(length(find(dr.kstate(:,2) == M.maximum_lag+2)))])
disp([' Number of static variables: ' int2str(M.nstatic)])
my_title='MATRIX OF COVARIANCE OF EXOGENOUS SHOCKS';
labels = M.exo_names;
headers = vertcat('Variables', labels);
lh = cellofchararraymaxlength(labels)+2;
dyntable(options, my_title, headers, labels, M.Sigma_e, lh, 10, 6);

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@ -58,7 +58,6 @@ exo_nbr = DynareModel.exo_nbr;
if isempty(reorder_jacobian_columns)
maximum_lag = DynareModel.maximum_endo_lag;
kstate = dr.kstate;
nfwrd = DynareModel.nfwrd;
nboth = DynareModel.nboth;
npred = DynareModel.npred;
@ -70,7 +69,7 @@ if isempty(reorder_jacobian_columns)
k2 = 1:(nfwrd+nboth);
order_var = dr.order_var;
nd = size(kstate,1);
nd = npred+nfwrd+2*nboth;
lead_lag_incidence = DynareModel.lead_lag_incidence;
nz = nnz(lead_lag_incidence);