Name 

Description 

Classes 

The following table lists classes in this documentation. 

Structs, Records, Enums 

The following table lists structs, records, enums in this documentation. 

Types 

The following table lists types in this documentation. 

 

Name 

Description 

 

TBinaryTestTable 

Defines binary test table structure. 

 

TMtxAnova 

Visual representation of One and Two way ANOVA. 

 

TMtxBinaryTest 

Performs one and two test paired or unpaired binary test. 

 

TMtxHypothesisTest 

Encapsulates parametric and non-parametric hypothesis testing routines. 

 

TMtxLogistReg 

Performs logistic regression. 

 

TMtxMDScaling 

Performs multidimensional scaling. 

 

TMtxMulLinReg 

Performs multiple linear regression. 

 

TMtxMultiNonLinReg 

Performs multiple-nonlinear regression. 

 

TMtxNonLinReg 

Performs nonlinear regression. 

 

TMtxPCA 

Performs Principle Component Analysis (PCA). 

 

TMtxStepwiseReg 

Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables.  

 

TRegResultClass 

Calculates additional parameters from multiple linear regression. 

 

TRegStatsClass 

Calculates statistics from multiple linear regression parameters. 

 

Name 

Description 

 

TBinaryTestType 

Defines type of binary test. 

 

THypothesisMethod 

Defines hypothesis test/method. 

 

TMDDataFormat 

MD matrix data type. 

 

TMDScalingMethod 

Defines type of multidimensional scaling. 

 

TStepwiseAction 

Stepwise regression variable action. 

Name 

Description 

TOnStepwiseQualityCriteria 

Callback function for custom quality criteria of stepwise regression optimization algorithm.