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The following table lists classes in this documentation.
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Name |
Description |
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Defines binary test table structure. | |
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Visual representation of One and Two way ANOVA. | |
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Performs one and two test paired or unpaired binary test. | |
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Encapsulates parametric and non-parametric hypothesis testing routines. | |
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Performs logistic regression. | |
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Performs multidimensional scaling. | |
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Performs multiple linear regression. | |
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Performs multiple-nonlinear regression. | |
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Performs nonlinear regression. | |
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Performs Principle Component Analysis (PCA). | |
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Stepwise regression is an optimization aglorithm aiming to improve the quality of the multiple linear regression by excluding noisy variables. | |
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Calculates additional parameters from multiple linear regression. | |
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Calculates statistics from multiple linear regression parameters. |
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Classes