Parameter Calculation Classes
The parameter calculation classes calculate model parameters from input regression data. They all derive from the abstract base class RWRegressionCalc<T,S>, which is contained in RWRegression<T,S>. As with RWRegression<T,S>, the first template parameter for RWRegressionCalc<T,S> is the type for predictor data and the second template parameter is the type for observation data.
The class hierarchy for the parameter calculation classes is shown in Figure 2.
Figure 2 – Parameter calculation class hierarchy
Normally, users will not deal with the parameter calculation classes directly. Parameter calculation classes are contained within the regression classes RWLinearRegression and RWLogisticRegression, just as the parameter calculation base class is contained within the regression base class.
The parameter calculation classes for linear regression, that may be contained in class RWLinearRegression, are RWLeastSqQRCalc, RWLeastSqQRPvtCalc, and RWLeastSqSVDCalc. The parameter calculation classes for logistic regression, that may be contained in class RWLogisticRegression, are RWLogisticIterLSQ and RWLogisticLevenbergMarquardt. Each regression class object invokes the appropriate methods on the parameter calculation classes when the regression data it maintains is modified.
