Merge remote-tracking branch 'houtanb/master'

m4/ax_mexopts.m4

@@ -66,17 +66,15 @@ case ${MATLAB_ARCH} in
     MACOSX_DEPLOYMENT_TARGET='10.6'
     if test "${MATLAB_ARCH}" = "maci"; then
         ARCHS='i386'
-        MATLAB_FFLAGS=''
     else
         ARCHS='x86_64'
-        MATLAB_FFLAGS='-m64'
     fi
     MATLAB_DEFS="$MATLAB_DEFS -DNDEBUG"
     MATLAB_CFLAGS="-fno-common -no-cpp-precomp -arch $ARCHS -isysroot $SDKROOT -mmacosx-version-min=$MACOSX_DEPLOYMENT_TARGET -fexceptions -O2"
     MATLAB_LDFLAGS="-L$MATLAB/bin/${MATLAB_ARCH} -Wl,-twolevel_namespace -undefined error -arch $ARCHS -Wl,-syslibroot,$SDKROOT -mmacosx-version-min=$MACOSX_DEPLOYMENT_TARGET -bundle -Wl,-exported_symbols_list,\$(top_srcdir)/mexFunction-MacOSX.map"
     MATLAB_LIBS="-lmx -lmex -lmat -lstdc++ -lmwlapack"
     MATLAB_CXXFLAGS="-fno-common -no-cpp-precomp -fexceptions -arch $ARCHS -isysroot $SDKROOT -mmacosx-version-min=$MACOSX_DEPLOYMENT_TARGET -O2"
-    MATLAB_FFLAGS="-fexceptions $MATLAB_FFLAGS -fbackslash"
+    MATLAB_FFLAGS="-fexceptions -fbackslash -arch $ARCHS"
     # Starting from MATLAB 7.5, BLAS and LAPACK are in distinct libraries
     AX_COMPARE_VERSION([$MATLAB_VERSION], [ge], [7.5], [MATLAB_LIBS="${MATLAB_LIBS} -lmwblas"])
     ax_mexopts_ok="yes"

matlab/ms-sbvar/clean_files_for_second_type_of_mex.m

 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

matlab/ms-sbvar/clean_ms_estimation_files.m

 function clean_ms_estimation_files(file_tag)
-% function clean_ms_estimation_files()
+% function clean_ms_estimation_files(file_tag)
 % removes MS estimation files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_forecast_files.m

 function clean_ms_forecast_files(file_tag)
-% function clean_ms_forecast_files()
+% function clean_ms_forecast_files(file_tag)
 % removes MS forecast files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_init_files.m

 function clean_ms_init_files(file_tag)
-% function clean_ms_init_files()
+% function clean_ms_init_files(file_tag)
 % removes MS initialization files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_irf_files.m

 function clean_ms_irf_files(file_tag)
-% function clean_ms_irf_files()
+% function clean_ms_irf_files(file_tag)
 % removes MS irf files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_mdd_files.m

 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

matlab/ms-sbvar/clean_ms_probabilities_files.m

 function clean_ms_probabilities_files(file_tag)
-% function clean_ms_probabilities_files()
+% function clean_ms_probabilities_files(file_tag)
 % removes MS probabilities files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_simulation_files.m

 function clean_ms_simulation_files(file_tag)
-% function clean_ms_simulation_files()
+% function clean_ms_simulation_files(file_tag)
 % removes MS simulation files
 %
 % INPUTS

matlab/ms-sbvar/clean_ms_variance_decomposition_files.m

 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

matlab/ms-sbvar/clean_sbvar_files.m

 function clean_sbvar_files()
-%function clean_sbvar_files()
+% function clean_sbvar_files()
 % Remove files created by sbvar
 %
 % INPUTS

matlab/ms-sbvar/create_dir.m

 function create_dir(dirname)
-% function create_dir()
+% function create_dir(dirname)
 % creates directory if it doesn't exist
 %
 % INPUTS

matlab/ms-sbvar/delete_dir_if_exists.m

 function delete_dir_if_exists(dirname)
-% function delete_dir_if_exists()
+% function delete_dir_if_exists(dirname)
 % removes directory if it exists
 %
 % INPUTS

matlab/ms-sbvar/delete_if_exists.m

 function delete_if_exists(fname)
-% function delete_if_exists()
+% function delete_if_exists(fname)
 % removes MS intermediary files
 %
 % INPUTS

matlab/ms-sbvar/dyn_save_graph.m

 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

matlab/ms-sbvar/initialize_ms_sbvar_options.m

 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

matlab/ms-sbvar/ms_compute_mdd.m

 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

matlab/ms-sbvar/ms_compute_probabilities.m

 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

matlab/ms-sbvar/ms_estimation.m

 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

matlab/ms-sbvar/ms_forecast.m

 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