root/applications/bdmtoolbox/mex/bm_bayesweighted.cpp @ 1002

/*!
\file
\brief wrapper function for BM.bayes()


 */

#include <stat/emix.h>

using namespace bdm;

#ifdef MEX
#include <estim/arx_ext.h>
#include <estim/kalman.h>
#include <estim/particles.h>
#include <estim/mixtures.h>
#include <mex/mex_BM.h>

void mexFunction ( int n_output, mxArray *output[], int n_input, const mxArray *input[] ) {
        // Check the number of inputs and output arguments
        if ( n_input<1 ) mexErrMsgTxt ( 
                "Usage:\n"
                "[bmef_struct,logevidence]=bm_bayesweighted(BMEF_struct, yt, cond, weight)\n"
                "  BMEF_struct = struct('class','BMEF_offspring',...);% description of Bayesian Model (BM) form exp. family\n"
                "  yt = [...];                                        % vector of observed data\n"
                "  cond = [...];                                      % vector of conditioning variables\n"
                "  weight = [1.0];                                    % weight of the date vector\n"
                "output:\n"
                "  bmef_struct = struct('class','BMEF_offsprin',...); % description of BM afret update.\n"
                "  logevidence  = 0.0;                                % logarithm of normalizing constant f(yt|cond)"
                );

        RV::clear_all();
        //CONFIG
        if (n_input<2){                 bdm_error("no observed data entered"); }
        
        UImxArray Cfg(input[0]);
        Cfg.writeFile("BM_bayes.cfg");

        shared_ptr<BMEF> bm=UI::build<BMEF>(Cfg);
        
        if (bm){        
                vec yt;
                vec cond;
                double weight;
                if (n_input<2){
                } else {
                        yt=mxArray2vec(input[1]);
                        if (n_input>2){
                                cond =mxArray2vec(input[2]);
                        }
                        if (n_input>3){
                                weight = mxArray2double(input[3]);
                        }
                }
                //if ( n_output<1 ) mexErrMsgTxt ( "No output - nothing to do!" );
                bm->bayes_weighted(yt,cond,weight);
                UImxArray Out;
                UI::save(bm.get(), Out);
                output[0]=UImxArray::create_mxArray(Out);
                if (n_output>1){
                        mxArray *le=mxCreateDoubleScalar(mxREAL);
                        double2mxArray(bm->_ll(), le);
                        output[1]=le;
                }
        } else { 
                mexErrMsgTxt ( "Given object is not BM" );
        }
}
#endif