staticrab
A library for fast calculation of various correlation measures. The API is described in the documentation.
The goal of this mini library is not to replace Scipy stack, statsmodels nor PyMC3 but rather to complement them.
Main features
So far, this library implements only one function and that is the fast(ish) calculation of Chatterjee's correlation coefficient.
Chatterjee's correlation coefficient
Chatterjee's correlation coefficient (also called Chatterjee's xi) is a recently proposed correlation coeffient that can be used for testing of nonlinear functional relationships between two variables (viz original paper).
Notes
It requires to have installed the staticrab-backend installed.
pip install staticrab-backend
Metadata
Release files for staticrab 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| staticrab-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for staticrab-0.0.3-py3-none-any.whl |
Release files / staticrab-0.0.3-py3-none-any.whl
| Download URL | staticrab-0.0.3-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9bd493ff6eee8ebf10a5d039bb3d9261549c9730cebf8cba53405f9b59da2944
|
|
BLAKE2b-256 checksum How to use checksums |
b47b436975470e278873aa79ee69896fddf70bf634cb1afbea92dcd0d11dc590
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3
|
Security for staticrab 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.