arx.h

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#ifndef AR_H
#define AR_H

#include "../math/functions.h"
#include "../stat/exp_family.h"
#include "../base/user_info.h"
//#include "../estim/kalman.h"
#include "arx_straux.h"

namespace bdm {

class ARX: public BMEF {
protected:
        int dimx;
        RV _yrv;
        egiw est;
        ldmat &V;
        double ν
public:
        ARX ( const double frg0 = 1.0 ) : BMEF ( frg0 ), est (), V ( est._V() ), nu ( est._nu() ) {};
        ARX ( const ARX &A0 ) : BMEF (), est (), V ( est._V() ), nu ( est._nu() ) {
                set_statistics ( A0.dimx, A0.V, A0.nu );
                set_parameters ( A0.frg );
        };
        ARX* _copy_() const;
        void set_parameters ( double frg0 ) {
                frg = frg0;
        }
        void set_statistics ( int dimx0, const ldmat V0, double nu0 = -1.0 ) {
                est.set_parameters ( dimx0, V0, nu0 );
                last_lognc = est.lognc();
                dimx = dimx0;
        }

//      //! Set parameters given by moments, \c mu (mean of theta), \c R (mean of R) and \c C (variance of theta)
//      void set_parameters ( const vec &mu, const mat &R, const mat &C, double dfm){};
        void set_statistics ( const BMEF* BM0 );
//      //! Returns sufficient statistics
//      void get_parameters ( mat &V0, double &nu0 ) {V0=est._V().to_mat(); nu0=est._nu();}

        void bayes ( const vec &dt, const double w );
        void bayes ( const vec &dt ) {
                bayes ( dt, 1.0 );
        };
        double logpred ( const vec &dt ) const;
        void flatten ( const BMEF* B ) {
                const ARX* A = dynamic_cast<const ARX*> ( B );
                // nu should be equal to B.nu
                est.pow ( A->nu / nu );
                if ( evalll ) {
                        last_lognc = est.lognc();
                }
        }
        enorm<ldmat>* epredictor ( const vec &rgr ) const;
        enorm<ldmat>* epredictor() const {
                bdm_assert_debug ( dimx == V.rows() - 1, "Regressor is not only 1" );
                return epredictor ( vec_1 ( 1.0 ) );
        }
        mlnorm<ldmat>* predictor() const;
        mlstudent* predictor_student() const;
        ivec structure_est ( egiw Eg0 );
        ivec structure_est_LT ( egiw Eg0 );

        const egiw& posterior() const {
                return est;
        }

        void set_drv ( const RV &drv0 ) {
                drv = drv0;
        }

        RV& get_yrv() {
                //if yrv is not ready create it
                if ( _yrv._dsize() != dimx ) {
                        int i = 0;
                        while ( _yrv._dsize() < dimx ) {
                                _yrv.add ( drv ( vec_1 ( i ) ) );
                                i++;
                        }
                }
                //yrv should be ready by now
                bdm_assert_debug ( _yrv._dsize() == dimx, "incompatible drv" );
                return _yrv;
        }

        // TODO dokumentace - aktualizovat
        void from_setting ( const Setting &set );

};

UIREGISTER ( ARX );
SHAREDPTR ( ARX );

}

#endif // AR_H

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