SmBinaryModel

Description

The SmBinaryModel class implements binary regression algorithm.

Properties inherited from ISmBinaryModel

	Property name	Brief description
	BinaryDistr	The BinaryDistr property determines a model type.
	BinaryExplained	The BinaryExplained property determines an explained series.
	BinaryFitted	The BinaryFitted property returns a binary modeling series.
	BinaryForecast	The BinaryForecast property returns a binary forecasting series.
	ClassificationCutOff	The ClassificationCutOff property determines the value for dividing into groups.
	CovarianceMatrix	The CovarianceMatrix property returns covariance matrix values.
	Explanatories	The Explanatories property returns explanatory series.
	Fitted	The Fitted property returns a modeling series.
	Forecast	The Forecast property returns the forecasting series.
	GuessingTable	The GuessingTable property returns a collection of values that describe the quality of binary model selection.
	InitIntercept	Outdated.The InitIntercept property determines initial approximation for the constant.
	MaxIteration	The MaxIteration property determines the maximum number of iterations, within which the solution is found.
	MissingData	The MissingData property returns missing data treatment method parameters.
	ModelCoefficients	The ModelCoefficients property returns parameters of model coefficients.
	ModelPeriod	The ModelPeriod property returns sample period parameters.
	OptimizationMethod	The OptimizationMethod property determines the optimization method in use.
	ProbabilityFitted	The ProbabilityFitted property returns a probabilistic modeling series.
	ProbabilityForecast	The ProbabilityForecast property returns a probabilistic forecasting series.
	ProbabilityLowerConfidenceLevel	The ProbabilityLowerConfidenceLevel property returns the lower confidence limit for a probabilistic forecasting series.
	ProbabilityUpperConfidenceLevel	The ProbabilityUpperConfidenceLevel property returns the upper confidence limit for a probabilistic forecasting series.
	RelevanceMeasure	The RelevanceMeasure property returns binary classification quality criteria.
	Residuals	The Residuals property returns a residual series.
	SummaryStatistics	The SummaryStatistics property returns summary statistics.
	Tolerance	The Tolerance property determines calculation accuracy.
	UseDefaultInitValues	The UseDefaultInitValues property determines whether default initial approximations are used.

Properties inherited from IStatMethod

	Property name	Brief description
	DisplayName	The DisplayName property returns the displayed method name.
	ErrorByStatus	The ErrorByStatus property returns an error message by the error number.
	Errors	The Errors property returns a message with all the errors and warnings.
	Name	The Name property returns the internal method name.
	PerformanceTime	The PerformanceTime property returns method execution time.
	Status	The Status property returns the method execution status.
	SupportsR	The SupportsR property returns whether statistical method can be calculated via R package.
	UseR	The UseR property determines whether statistical method is calculated via the R package.
	WarningByStatus	The WarningByStatus property returns a warning text by its number.
	Warnings	The Warnings property returns the warnings that occurred at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Methods inherited from IStatMethod

	Method Name	Brief description
	Clone	The Clone method clones a statistical method object.
	Execute	The Execute method executes a statistical method.
	LoadFromXML	The LoadFromXML method loads statistical method settings from XML code.
	SaveToXML	The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes | Binary Regression