Class GWRRobust

Defined in File GWRRobust.h

Inheritance Relationships

Base Type

public gwm::GWRBasic (Class GWRBasic)

Class Documentation

class GWRRobust : public gwm::GWRBasic 

Robust GWR.

Public Functions

inline GWRRobust(): Construct a new GWRRobust object.

inline ~GWRRobust(): Destroy the GWRRobust object.

inline bool filtered() const: Get whether to use filtered algorithm Yes No.

inline void setFiltered(bool value): Set whether to use filtered algorithm Whether to use filtered algorithm.

virtual arma::mat predict(const arma::mat &locations) override

Predict coefficients on specified locations.

Parameters:: locations – Locations where to predict coefficients.
Returns:: mat Predicted coefficients.

virtual arma::mat fit() override

Fit coefficient estimates.

Returns:: mat Coefficient estimates

arma::mat regressionHatmatrix(const arma::mat &x, const arma::vec &y, arma::mat &betasSE, arma::vec &shat, arma::vec &qdiag, arma::mat &S)

virtual void setParallelType(const ParallelType &type) override

Set the parallel type of this algorithm.

Parameters:: type – Parallel type of this algorithm.

Protected Functions

arma::mat robustGWRCaliFirst(const arma::mat &x, const arma::vec &y, arma::mat &betasSE, arma::vec &shat, arma::vec &qDiag, arma::mat &S): First type of calibration algorithm. Independent variables Dependent variables [out] Standard error of coefficient estimates [out] A vector of trace of \(S\) and \(S'S\) [out] Diagonal elements of matrix \(Q\) [out] Hat matrix \(S\) Coefficient estimates.

arma::mat robustGWRCaliSecond(const arma::mat &x, const arma::vec &y, arma::mat &betasSE, arma::vec &shat, arma::vec &qDiag, arma::mat &S): Second type of calibration algorithm. Independent variables Dependent variables [out] Standard error of coefficient estimates [out] A vector of trace of \(S\) and \(S'S\) [out] Diagonal elements of matrix \(Q\) [out] Hat matrix \(S\) Coefficient estimates.

arma::vec filtWeight(arma::vec residual, double mse): Calculate the second-level weights. Residuals Mean of squared error Second-level weights.

void createPredictionDistanceParameter(const arma::mat &locations): Create prediction distance parameter. Locations where to predict coefficients.