Accord.Statistics.Analysis Namespace 
Class  Description  

BaseDiscriminantAnalysis 
Base class for Discriminant Analysis (LDA, QDA or KDA).
 
CircularDescriptiveAnalysis 
Descriptive statistics analysis for circular data.
 
CircularDescriptiveMeasureCollection 
Collection of descriptive measures.
 
CircularDescriptiveMeasures 
Circular descriptive measures for a variable.
 
ConfusionMatrix 
Binary decision confusion matrix.
 
DescriptiveAnalysis 
Descriptive statistics analysis.
 
DescriptiveMeasureCollection 
Collection of descriptive measures.
 
DescriptiveMeasures 
Descriptive measures for a variable.
 
Discriminant  Represents a discriminant factor found during Discriminant Analysis, allowing it to be bound to controls like the DataGridView. This class cannot be instantiated.  
DiscriminantAnalysisClass 
Represents a class found during Discriminant Analysis, allowing it to
be bound to controls like the DataGridView.
This class cannot be instantiated.
 
DiscriminantAnalysisClassCollection  Represents a collection of classes found in the Discriminant Analysis. This class cannot be instantiated.  
DiscriminantCollection  Represents a collection of Discriminants factors found in the Discriminant Analysis. This class cannot be instantiated.  
DistributionAnalysis 
Distribution fitness analysis.
 
GeneralConfusionMatrix 
General confusion matrix for multiclass decision problems.
 
GoodnessOfFit 
Goodnessoffit result for a given distribution.
 
GoodnessOfFitCollection 
Collection of goodnessoffit measures.
 
HazardCoefficient 
Represents a Proportional Hazards Coefficient found in the Cox's Hazards model,
allowing it to be bound to controls like the DataGridView. This class cannot
be instantiated outside the LogisticRegressionAnalysis.
 
HazardCoefficientCollection 
Represents a collection of Hazard Coefficients found in the
ProportionalHazardsAnalysis. This class cannot be instantiated.
 
IndependentComponent 
Represents an Independent Component found in the Independent Component
Analysis, allowing it to be directly bound to controls like the DataGridView.
 
IndependentComponentAnalysis 
Independent Component Analysis (ICA).
 
IndependentComponentCollection 
Represents a Collection of Independent Components found in the
Independent Component Analysis. This class cannot be instantiated.
 
KernelDiscriminantAnalysis 
Kernel (Fisher) Discriminant Analysis.
 
KernelDiscriminantAnalysisPipeline 
Standard regression and classification pipeline for LinearDiscriminantAnalysis.
 
KernelPrincipalComponentAnalysis 
Kernel Principal Component Analysis.
 
LinearDiscriminantAnalysis 
Linear Discriminant Analysis (LDA).
 
LinearDiscriminantAnalysisPipeline 
Standard regression and classification pipeline for LinearDiscriminantAnalysis.
 
LinearRegressionCoefficient  Represents a Linear Regression coefficient found in the Multiple Linear Regression Analysis allowing it to be bound to controls like the DataGridView. This class cannot be instantiated.  
LinearRegressionCoefficientCollection 
Represents a Collection of Linear Regression Coefficients found in the
MultipleLinearRegressionAnalysis. This class cannot be instantiated.
 
LogisticCoefficient 
Represents a Logistic Regression Coefficient found in the Logistic Regression,
allowing it to be bound to controls like the DataGridView. This class cannot
be instantiated outside the LogisticRegressionAnalysis.
 
LogisticCoefficientCollection 
Represents a collection of Logistic Coefficients found in the
LogisticRegressionAnalysis. This class cannot be instantiated.
 
LogisticRegressionAnalysis 
Logistic Regression Analysis.
 
MultinomialCoefficient  Represents a Multinomial Logistic Regression coefficient found in the multinomial logistic regression analysis allowing it to be bound to controls like the DataGridView. This class cannot be instantiated.  
MultinomialCoefficientCollection 
Represents a Collection of Multinomial Logistic Regression Coefficients found in the
MultinomialLogisticRegressionAnalysis. This class cannot be instantiated.
 
MultinomialLogisticRegressionAnalysis 
Multinomial Logistic Regression Analysis
 
MultipleLinearRegressionAnalysis 
Multiple Linear Regression Analysis
 
NestedLogisticCoefficient 
Represents a Logistic Regression Coefficient found in the Logistic Regression,
allowing it to be bound to controls like the DataGridView. This class cannot
be instantiated outside the LogisticRegressionAnalysis.
 
NestedLogisticCoefficientCollection 
Represents a collection of Logistic Coefficients found in the
LogisticRegressionAnalysis. This class cannot be instantiated.
 
PartialLeastSquaresAnalysis 
Partial Least Squares Regression/Analysis (a.k.a Projection To Latent Structures)
 
PartialLeastSquaresFactor 
Represents a Partial Least Squares Factor found in the Partial Least Squares
Analysis, allowing it to be directly bound to controls like the DataGridView.
 
PartialLeastSquaresFactorCollection 
Represents a Collection of Partial Least Squares Factors found in
the Partial Least Squares Analysis. This class cannot be instantiated.
 
PartialLeastSquaresVariables 
Represents source variables used in Partial Least Squares Analysis. Can represent either
input variables (predictor variables) or output variables (independent variables or regressors).
 
PrincipalComponent  Represents a Principal Component found in the Principal Component Analysis, allowing it to be bound to controls like the DataGridView. This class cannot be instantiated.  
PrincipalComponentAnalysis 
Principal component analysis (PCA) is a technique used to reduce
multidimensional data sets to lower dimensions for analysis.
 
PrincipalComponentCollection 
Represents a Collection of Principal Components found in the
PrincipalComponentAnalysis. This class cannot be instantiated.
 
ProcrustedDataset 
Class to represent an original dataset, its Procrustes form and all necessary data (i.e. rotation, center, scale...)
 
ProcrustesAnalysis 
Class to perform a Procrustes Analysis
 
ProportionalHazardsAnalysis 
Cox's Proportional Hazards Survival Analysis.
 
ReceiverOperatingCharacteristic 
Receiver Operating Characteristic (ROC) Curve.
 
ReceiverOperatingCharacteristicPoint 
Object to hold information about a Receiver Operating Characteristic Curve Point
 
ReceiverOperatingCharacteristicPointCollection 
Represents a Collection of Receiver Operating Characteristic (ROC) Curve points.
This class cannot be instantiated.
 
StepwiseLogisticRegressionAnalysis 
Backward Stepwise Logistic Regression Analysis.
 
StepwiseLogisticRegressionModel 
Stepwise Logistic Regression Nested Model.
 
StepwiseLogisticRegressionModelCollection 
Stepwise Logistic Regression Nested Model collection.
This class cannot be instantiated.
 
WeightedConfusionMatrix 
Weighted confusion matrix for multiclass decision problems.

Interface  Description  

IAnalysis  Obsolete.
Common interface for statistical analysis.
 
IAnalysisComponent 
Common interface for information components. Those are
present in multivariate analysis, such as PrincipalComponentAnalysis
and LinearDiscriminantAnalysis.
 
IDescriptiveMeasures 
Common interface for descriptive measures, such as
DescriptiveMeasures and
CircularDescriptiveMeasures.
 
IDiscriminantAnalysis 
Common interface for discriminant analysis.
 
IMultivariateAnalysis  Obsolete.
Common interface for multivariate statistical analysis.
 
IMultivariateRegressionAnalysis 
Common interface for multivariate regression analysis.
 
IProjectionAnalysis  Obsolete.
Common interface for projective statistical analysis.
 
IRegressionAnalysis 
Common interface for regression analysis.

Enumeration  Description  

AnalysisMethod 
Determines the method to be used in a statistical analysis.
 
IndependentComponentAlgorithm 
FastICA's algorithms to be used in Independent Component Analysis.
 
PartialLeastSquaresAlgorithm 
The PLS algorithm to use in the Partial Least Squares Analysis.
 
PrincipalComponentMethod 
Determines the method to be used in a statistical analysis.
 
RocAreaMethod 
Methods for computing the area under
ReceiverOperating Characteristic (ROC) curves (also known as the ROC AUC).
