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MS-SBVAR: normalize comments in headers

time-shift
Houtan Bastani 2011-10-11 16:35:13 +02:00
parent c73d179f4d
commit 7764a6a14d
30 changed files with 39 additions and 39 deletions
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2
matlab/ms-sbvar/clean_files_for_second_type_of_mex.m
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function clean_files_for_second_type_of_mex(M_, options_, type)
%function clean_files_for_second_type_of_mex()
% function clean_files_for_second_type_of_mex(M_, options_, type)
% clean the files for the appropriate file tag and mex function
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_estimation_files.m
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function clean_ms_estimation_files(file_tag)
% function clean_ms_estimation_files()
% function clean_ms_estimation_files(file_tag)
% removes MS estimation files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_forecast_files.m
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function clean_ms_forecast_files(file_tag)
% function clean_ms_forecast_files()
% function clean_ms_forecast_files(file_tag)
% removes MS forecast files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_init_files.m
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function clean_ms_init_files(file_tag)
% function clean_ms_init_files()
% function clean_ms_init_files(file_tag)
% removes MS initialization files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_irf_files.m
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function clean_ms_irf_files(file_tag)
% function clean_ms_irf_files()
% function clean_ms_irf_files(file_tag)
% removes MS irf files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_mdd_files.m
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function clean_ms_mdd_files(file_tag, pt)
% function clean_ms_mdd_files()
% function clean_ms_mdd_files(file_tag, pt)
% removes MS mdd files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_probabilities_files.m
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function clean_ms_probabilities_files(file_tag)
% function clean_ms_probabilities_files()
% function clean_ms_probabilities_files(file_tag)
% removes MS probabilities files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_simulation_files.m
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function clean_ms_simulation_files(file_tag)
% function clean_ms_simulation_files()
% function clean_ms_simulation_files(file_tag)
% removes MS simulation files
%
% INPUTS

2
matlab/ms-sbvar/clean_ms_variance_decomposition_files.m
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function clean_ms_variance_decomposition_files(file_tag)
% function clean_ms_variance_decomposition_files()
% function clean_ms_variance_decomposition_files(file_tag)
% removes MS variance decomposition files
%
% INPUTS

2
matlab/ms-sbvar/clean_sbvar_files.m
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function clean_sbvar_files()
%function clean_sbvar_files()
% function clean_sbvar_files()
% Remove files created by sbvar
%
% INPUTS

2
matlab/ms-sbvar/create_dir.m
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function create_dir(dirname)
% function create_dir()
% function create_dir(dirname)
% creates directory if it doesn't exist
%
% INPUTS

2
matlab/ms-sbvar/delete_dir_if_exists.m
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function delete_dir_if_exists(dirname)
% function delete_dir_if_exists()
% function delete_dir_if_exists(dirname)
% removes directory if it exists
%
% INPUTS

2
matlab/ms-sbvar/delete_if_exists.m
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function delete_if_exists(fname)
% function delete_if_exists()
% function delete_if_exists(fname)
% removes MS intermediary files
%
% INPUTS

2
matlab/ms-sbvar/dyn_save_graph.m
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function dyn_save_graph(dirname,graph_name,graph_formats,TeX,names,texnames,caption)
% function dyn_graph_save(graph_name,graph_formats,TeX)
% function dyn_save_graph(dirname,graph_name,graph_formats,TeX,names,texnames,caption)
% saves Dynare graphs
%
% INPUTS

2
matlab/ms-sbvar/initialize_ms_sbvar_options.m
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function options_=initialize_ms_sbvar_options(M_, options_)
%function initialize_ms_sbvar_options()
% function options_=initialize_ms_sbvar_options(M_, options_)
% sets ms sbvar options back to their default values
%
% INPUTS

4
matlab/ms-sbvar/ms_compute_mdd.m
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function [options_, oo_]=ms_compute_mdd(M_, options_, oo_)
%function ms_compute_mdd()
% MS Sbvar Compute Marginal Data Density
% function [options_, oo_]=ms_compute_mdd(M_, options_, oo_)
% Markov-switching SBVAR: Compute Marginal Data Density
%
% INPUTS
% M_: (struct) model structure

4
matlab/ms-sbvar/ms_compute_probabilities.m
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function [options_, oo_]=ms_compute_probabilities(M_, options_, oo_)
%function ms_simulation()
% MS Sbvar Compute Posterior Mode Regime Probabilities
% function [options_, oo_]=ms_compute_probabilities(M_, options_, oo_)
% Markov-switching SBVAR: Compute Posterior Mode Regime Probabilities
%
% INPUTS
% M_: (struct) model structure

4
matlab/ms-sbvar/ms_estimation.m
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function [options_, oo_]=ms_estimation(M_, options_, oo_)
%function ms_estimation()
% MS Sbvar Estimation
% function [options_, oo_]=ms_estimation(M_, options_, oo_)
% Markov-switching SBVAR: Estimation
%
% INPUTS
% M_: (struct) model structure

4
matlab/ms-sbvar/ms_forecast.m
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function [options_, oo_]=ms_forecast(M_, options_, oo_)
%function ms_forecast()
% MS-SBVAR Forecast
% function [options_, oo_]=ms_forecast(M_, options_, oo_)
% Markov-switching SBVAR: Forecast
%
% INPUTS
% M_: (struct) model structure

6
matlab/ms-sbvar/ms_irf.m
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function [options_, oo_]=ms_irf(varlist,M_, options_, oo_)
%function ms_irf()
% MS-SBVAR Impulse Response Function
function [options_, oo_]=ms_irf(varlist, M_, options_, oo_)
% function [options_, oo_]=ms_irf(varlist, M_, options_, oo_)
% Markov-switching SBVAR: Impulse Response Function
%
% INPUTS
% varlist: (chararray) list of selected endogenous variables

2
matlab/ms-sbvar/ms_sbvar_setup.m
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function ms_sbvar_setup(options_)
%function ms_sbvar_setup()
% function ms_sbvar_setup(options_)
% does the general file initialization for ms sbvar
%
% INPUTS

4
matlab/ms-sbvar/ms_simulation.m
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function [options_, oo_]=ms_simulation(M_, options_, oo_)
%function ms_simulation()
% MS Sbvar Simulation
% function [options_, oo_]=ms_simulation(M_, options_, oo_)
% Markov-switching SBVAR: Simulation
%
% INPUTS
% M_: (struct) model structure

4
matlab/ms-sbvar/ms_variance_decomposition.m
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function [options_, oo_]=ms_variance_decomposition(M_, options_, oo_)
%function ms_variance_decomposition()
% MS-SBVAR Variance Decomposition
% function [options_, oo_]=ms_variance_decomposition(M_, options_, oo_)
% Markov-switching SBVAR: Variance Decomposition
%
% INPUTS
% M_: (struct) model structure

2
matlab/ms-sbvar/plot_ms_forecast.m
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function plot_ms_forecast(M_,options_,forecast,title_,save_graph_formats,TeX)
% function [] = plot_ms_forecast(forecast,names)
% function plot_ms_forecast(M_,options_,forecast,title_,save_graph_formats,TeX)
% plots the forecast from the output from a ms-sbvar
%
% INPUTS

2
matlab/ms-sbvar/plot_ms_irf.m
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function plot_ms_irf(M_, options_, irf, names, title_, varlist)
% function [] = plot_ms_irf(irf,names)
% function plot_ms_irf(M_, options_, irf, names, title_, varlist)
% plots the impulse responses from the output from a ms-sbvar
%
% INPUTS

2
matlab/ms-sbvar/plot_ms_probabilities.m
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function plot_ms_probabilities(computed_probabilities, options_)
% function plot_ms_probabilities(computed_probabilities)
% function plot_ms_probabilities(computed_probabilities, options_)
% Plots the regime probablities for each graph
%
% INPUTS

4
matlab/ms-sbvar/plot_ms_variance_decomposition.m
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function plot_ms_variance_decomposition(M_, options_, vd, title_, graph_save_formats, ...
TeX, varargin)
function plot_ms_variance_decomposition(M_, options_, vd, title_, graph_save_formats, TeX, varargin)
% function plot_ms_variance_decomposition(M_, options_, vd, title_, graph_save_formats, TeX, varargin)
% plot the variance decomposition of shocks
%
% Inputs

2
matlab/ms-sbvar/set_file_tags.m
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function [options_]=set_file_tags(options_)
%function set_file_tags()
% function [options_]=set_file_tags(options_)
% Sets the appropriate file tags for first type of mex function
%
% INPUTS

2
matlab/ms-sbvar/set_ms_estimation_file.m
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function [options_, oo_]=set_ms_estimation_file(file_tag, options_, oo_)
%function set_ms_estimation_file()
% function [options_, oo_]=set_ms_estimation_file(file_tag, options_, oo_)
% Set options_.ms.free_param_file based on user input
%
% INPUTS

2
matlab/ms-sbvar/set_ms_simulation_file.m
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function options_=set_ms_simulation_file(options_)
%function set_ms_simulation_file()
% function options_=set_ms_simulation_file(options_)
% Set options_.ms.mh_file based on user input
%
% INPUTS