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Rename write_smoother_results to store_smoother_results.m to avoid confusion about its purpose

time-shift
Johannes Pfeifer 2016-04-11 08:05:36 +02:00
parent f5bd4c6b3a
commit 6ad876cc18
3 changed files with 5 additions and 5 deletions
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4
matlab/dynare_estimation_1.m
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@ -171,7 +171,7 @@ end
if isequal(options_.mode_compute,0) && isempty(options_.mode_file) && options_.mh_posterior_mode_estimation==0
if options_.smoother == 1
[atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,T,R,P,PK,decomp,Trend] = DsgeSmoother(xparam1,gend,transpose(data),data_index,missing_value);
[oo_]=write_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
[oo_]=store_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
end
return
end
@ -484,7 +484,7 @@ if (~((any(bayestopt_.pshape > 0) && options_.mh_replic) || (any(bayestopt_.psha
|| ~options_.smoother ) && options_.partial_information == 0 % to be fixed
%% ML estimation, or posterior mode without metropolis-hastings or metropolis without bayesian smooth variable
[atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,T,R,P,PK,decomp,Trend] = DsgeSmoother(xparam1,dataset_.nobs,transpose(dataset_.data),dataset_info.missing.aindex,dataset_info.missing.state);
[oo_,yf]=write_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
[oo_,yf]=store_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
% oo_.Smoother.SteadyState = ys;
% oo_.Smoother.TrendCoeffs = trend_coeff;

2
matlab/evaluate_smoother.m
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@ -94,7 +94,7 @@ end
[atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,T,R,P,PK,decomp,Trend] = ...
DsgeSmoother(parameters,dataset_.nobs,transpose(dataset_.data),dataset_info.missing.aindex,dataset_info.missing.state);
[oo_]=write_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
[oo_]=store_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend);
if nargout==2
Smoothed_variables_declaration_order_deviation_form=atT(oo_.dr.inv_order_var(bayestopt_.smoother_var_list),:);

4
matlab/write_smoother_results.m → matlab/store_smoother_results.m
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@ -1,5 +1,5 @@
function [oo_, yf]=write_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend)
% oo_=write_smoother_results(M_,oo_,options_,bayestopt_,dataset_,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend)
function [oo_, yf]=store_smoother_results(M_,oo_,options_,bayestopt_,dataset_,dataset_info,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend)
% oo_=store_smoother_results(M_,oo_,options_,bayestopt_,dataset_,atT,innov,measurement_error,updated_variables,ys,trend_coeff,aK,P,PK,decomp,Trend)
% Writes the smoother results into respective fields in oo_
%
% Inputs: