Factual package intelligence from PyPI

mqqr 1.0.0 package intelligence

Multivariate Quantile-on-Quantile Regression & Causality — a comprehensive Python toolkit implementing Sim & Zhou (2015) QQR and the multivariate m-QQR / m-QQ causality frameworks of Sinha, Alola, Ozkan, Das and co-authors, with MATLAB-style 3D Jet visualizations and publication-

pip install mqqr

Current version
1.0.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
102.0 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

mqqr dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20
  2. pandas >=1.3
  3. scipy >=1.7
  4. statsmodels >=0.13
  5. matplotlib >=3.5

Compatibility and release files

mqqr publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Security snapshot for mqqr 1.0.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .