ISmBinaryModel

Assembly: Stat;

Description

The ISmBinaryModel interface is used to define the parameters of the binary regression method.

Inheritance Hierarchy

          IStatMethod

          ISmBinaryModel

Comments

The method estimates coefficients of the regression model, in which the dependent variable may take the values 0 or 1. The following models are implemented within this method: logit and probit.

Properties

  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.
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 on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on 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 Interfaces | Binary regression