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Make function names consistent with filenames 

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covariance-quadratic-approximation
Sébastien Villemot 2023-12-15 16:30:32 +01:00
parent febd39713e
commit ae082cffbe
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3 changed files with 8 additions and 8 deletions
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6
matlab/+bvar/graph_init.m
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@ -1,5 +1,5 @@
function dyn_graph=dynare_graph_init(figure_name,nplot,line_types,line_width)
% function dynare_graph_init(figure_name,colors)
function dyn_graph=graph_init(figure_name,nplot,line_types,line_width)
% function graph_init(figure_name,colors)
% initializes set of graphs
%
% INPUTS:
@ -12,7 +12,7 @@ function dyn_graph=dynare_graph_init(figure_name,nplot,line_types,line_width)
% SPECIAL REQUIREMENT
% none
% Copyright © 2006-2017 Dynare Team
% Copyright © 2006-2023 Dynare Team
%
% This file is part of Dynare.
%

6
matlab/+bvar/toolbox.m
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@ -1,5 +1,5 @@
function [ny, nx, posterior, prior, forecast_data] = bvar_toolbox(nlags)
%function [ny, nx, posterior, prior, forecast_data] = bvar_toolbox(nlags)
function [ny, nx, posterior, prior, forecast_data] = toolbox(nlags)
%function [ny, nx, posterior, prior, forecast_data] = toolbox(nlags)
% bvar_toolbox Routines shared between BVAR methods
% Computes several things for the estimations of a BVAR(nlags)
%
@ -42,7 +42,7 @@ function [ny, nx, posterior, prior, forecast_data] = bvar_toolbox(nlags)
% - bvar_prior_{tau,decay,lambda,mu,omega,flat,train}
% Copyright © 2003-2007 Christopher Sims
% Copyright © 2007-2017 Dynare Team
% Copyright © 2007-2023 Dynare Team
%
% This file is part of Dynare.
%

4
matlab/+identification/bruteforce.m
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@ -1,5 +1,5 @@
function [pars, cosnJ] = ident_bruteforce(dname,fname,J, max_dim_cova_group, TeX, name_tex, tittxt, tol_deriv)
% [pars, cosnJ] = ident_bruteforce(dname,fname,J, max_dim_cova_group, TeX, name_tex, tittxt, tol_deriv)
function [pars, cosnJ] = bruteforce(dname,fname,J, max_dim_cova_group, TeX, name_tex, tittxt, tol_deriv)
% [pars, cosnJ] = bruteforce(dname,fname,J, max_dim_cova_group, TeX, name_tex, tittxt, tol_deriv)
% -------------------------------------------------------------------------
% given the Jacobian matrix J of moment derivatives w.r.t. parameters
% computes, for each column of J, the groups of columns from 1 to n that