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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.7-12 |
rolling linux/jammy R-4.5 | energy_1.7-12.tar.gz |
315.3 KiB |
1.7-12 |
rolling linux/noble R-4.5 | energy_1.7-12.tar.gz |
319.0 KiB |
1.7-12 |
rolling source/ R- | energy_1.7-12.tar.gz |
57.1 KiB |
1.7-12 |
latest linux/jammy R-4.5 | energy_1.7-12.tar.gz |
315.3 KiB |
1.7-12 |
latest linux/noble R-4.5 | energy_1.7-12.tar.gz |
319.0 KiB |
1.7-12 |
latest source/ R- | energy_1.7-12.tar.gz |
57.1 KiB |
1.7-12 |
2026-04-26 source/ R- | energy_1.7-12.tar.gz |
57.1 KiB |
1.7-12 |
2026-04-23 source/ R- | energy_1.7-12.tar.gz |
57.1 KiB |
1.7-12 |
2026-04-09 windows/windows R-4.5 | energy_1.7-12.zip |
639.7 KiB |
1.7-12 |
2025-04-20 source/ R- | energy_1.7-12.tar.gz |
57.1 KiB |