![]() SourcePro C++ 12.5 |
SourcePro® C++ API Reference Guide |
Product Documentation: SourcePro C++ Documentation Home |
The Parameter Calculation Classes calculate regression parameters from input regression data.
Classes | |
| class | RWAddObservations< T, S > |
| Holds information about adding observations to a parameter calculation. More... | |
| class | RWAddPredictors< T, S > |
| Holds information about the addition of predictor variables to a parameter calculation. More... | |
| class | RWGPValueFunctor |
| Calculates the G statistic for a logistic model in comparison to the intercept-only model. More... | |
| class | RWLeastSqQRCalc |
| Calculates linear regression parameters using QR decomposition. More... | |
| class | RWLeastSqQRPvtCalc |
| Calculates linear regression parameters using QR decomposition with pivoting. More... | |
| class | RWLeastSqSVDCalc |
| Implements the calculation of linear regression parameters using singular value decomposition. More... | |
| class | RWLinearRegressionParam |
| Models an estimated linear regression parameter using a T distribution. More... | |
| class | RWLinRegressFStatistic |
| Function object that takes the data and parameters associated with a linear regression model and returns the F statistic for that model. More... | |
| class | RWLogisticFitAnalysis |
| Calculates a number of goodness of fit quantities for a given RWLogisticRegression instance. More... | |
| class | RWLogisticIterLSQ |
| Calculates model parameter estimates from logistic regression data using the iterative least squares method. More... | |
| class | RWLogisticLevenbergMarquardt |
| Calculates model parameter estimates from logistic regression data using the Levenberg-Marquardt method. More... | |
| class | RWLogisticRegressionParam |
| Container class for logistic regression parameter estimates and their associated statistical quantities. More... | |
| class | RWRegressionCalc< T, S > |
| Defines the interface for regression parameter calculation objects. More... | |
| class | RWRegressionDataChange< T, S > |
| Base class for data change objects when adding predictor variables or observations to a parameter calculation. More... | |
| class | RWRemoveObservations< T, S > |
| Holds information about removing observations from a parameter calculation. More... | |
| class | RWRemovePredictors< T, S > |
| Holds information about the removal of predictor variables from a parameter calculation. More... | |
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