energy - E-Statistics: Multivariate Inference via the Energy of Data
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.
Last updated 6 months ago
distance-correlationenergymultivariate-analysisstatisticscpp
10.44 score 45 stars 45 dependents 614 scripts 7.5k downloadsRbyExample - Data for the Book "R by Example"
Data for the examples and exercises in the book "R by Example". Jim Albert and Maria Rizzo (2012, ISBN 978-1-4614-1365-3).
Last updated 7 months ago
3.94 score 2 stars 22 scripts 268 downloads