dcor: distance correlation and distance covariance in Python.
Project description
Distance covariance and distance correlation are dependency measures between random vectors introduced in [SRB07].
This package offers functions for calculating several statistics related with distance covariance and distance correlation, including biased and unbiased estimators of both dependency measures.
References
Gábor J. Székely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35(6):2769–2794, 12 2007. doi:10.1214/009053607000000505.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dcor-0.1.tar.gz.
File metadata
- Download URL: dcor-0.1.tar.gz
- Upload date:
- Size: 8.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b1f30e90034a0cb119ea849f34d208115c31a909e3e3f284def3fcf5c6944ff9
|
|
| MD5 |
fc9fc4baa1a1993bfa26ec7fdc39e4f8
|
|
| BLAKE2b-256 |
2ebcd927eab857917f22787a45408e8d4456edf3879db27a3fb18d73a6c8101b
|
File details
Details for the file dcor-0.1-py2.py3-none-any.whl.
File metadata
- Download URL: dcor-0.1-py2.py3-none-any.whl
- Upload date:
- Size: 9.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af262a35c356bf07d85d8eb725214150f99fd95afbab2c5ffc8317d63c6826a5
|
|
| MD5 |
d8c81e5a7d18c02f0bd30d922b0b19b6
|
|
| BLAKE2b-256 |
bfdbc32e64c0db99da3dbf3ac174634245c03a40c2eeda47f7192cb61bc49733
|
