fa6d3090f2
E-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, k-groups and hierarchical clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.
10 lines
597 B
Text
10 lines
597 B
Text
E-statistics (energy) tests and statistics for multivariate and
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univariate inference, including distance correlation, one-sample,
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two-sample, and multi-sample tests for comparing multivariate
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distributions, are implemented. Measuring and testing multivariate
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independence based on distance correlation, partial distance
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correlation, multivariate goodness-of-fit tests, k-groups and
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hierarchical clustering based on energy distance, testing for
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multivariate normality, distance components (disco) for non-parametric
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analysis of structured data, and other energy statistics/methods are
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implemented.
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