Classes
| 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. |
Structs
| Name | Description |
|---|---|
| TANOVA1Result | |
| TANOVA2Result | |
| TFStats | |
| TOnStepwiseQualityCriteria | Callback function for custom quality criteria of stepwise regression optimization algorithm. |
| TRegStats |
Enumerations
| Name | Description |
|---|---|
| TBinaryTestType | Defines type of binary test. |
| TcfInitMethod | ARMA/ARIMA coefficients initial estimate method. |
| THotellingT2Type | Defines Hotelling T2 test type. |
| THypothesisMethod | Defines hypothesis test/method. |
| THypothesisResult | Defines result of the hypothesis test. |
| THypothesisType | Defines one or two sided hypothesis testing. |
| TLHCImprove | Defines the criterion for measuring the improvement of Latih Hypercube DOE. |
| TMatrixRotation | Defines the rotation method. |
| TMDDataFormat | MD matrix data type. |
| TMDScalingMethod | Defines type of multidimensional scaling. |
| TPCAMode | Defines type of Principal Component Analysis (PCA). |
| TPercentileMethod | Defines methods for calculatating percentile. |
| TPWDistMethod | Defines method for pairwise distance calculation. |
| TRegressionModel | Defines different linear models. |
| TRegSolveMethod | Defines regression equation solve method. |
| TStepwiseAction | Stepwise regression variable action. |
| TStepwiseMethod | Stepwise regression optimization algorithm. |
Typedefs
| Name | Description |
|---|---|
| TDeriveProc | Defines derivatives of a function. |
| TMultiDeriveProc | Defines derivatives of a function. |
| TMultiRegressFun | Defines multiple regression function. |
| TRegressFun | Defines regression function. |
| TStepwiseQualityCriteria | Callback function for custom quality criteria of stepwise regression optimization algorithm. |