 Class  Description 

 AnovaModel 
Represents an Analysis of Variance (ANOVA) model.

 AnovaModelRow 
Represents a row representing a contribution from the model in an AnovaTable.

 AnovaRow  
 AnovaTable 
Represents a table containing the results of an ANOVA analysis.

 ContingencyTable 
Represents a table that crosstabulates totals from two categorical variables.

 DescriptivesT 
Collects descriptive statistics for a variable.

 Filter 
Represents a filter that can be used to select observations in a
VectorT or IDataFrame.

 GeneralizedLinearModel 
Represents a generalized linear model.

 HypothesisTests 
Contains static methods to create hypothesis tests.

 Kernel 
Represents a kernel used for kernel density estimation.

 KernelDensity 
Contains methods for computing kernel density estimates.

 LinearRegressionModel 
Represents a linear regression model.

 LinkFunction  
 LogisticRegressionModel 
Represents a logistic regression model.

 ModelFamily  
 NonlinearRegressionModel 
Represents a nonlinear regression model.

 OneWayAnovaModel 
Represents the results of a oneway analysis of variance (ANOVA).

 OneWayRAnovaModel 
Represents an analysis of variance (ANOVA) calculation.

 PolynomialRegressionModel 
Represents a polynomial regression model.

 RegularizedRegressionModel 
Represents a regularized (ridge or LASSO) regression model.

 SimpleRegressionModel 
Represents a linear regression model.

 Stats 
Provides static methods for descriptive statistics and other statistical functions.

 StepwiseOptions 
Specifies options for stepwise regression calculations.

 TwoWayAnovaModel 
Represents a twoway withinsubjects Analysis of Variance (ANOVA) model.

 WindowFilter 
Represents a sliding window on a variable or variable collection.
