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RankBasedMonteCarlo 0.1.4 package intelligence

A set of Monte Carlo based tools to create test statistics for four non-parametric rank-based tests: Mann-Whitney (MW), Kruskal-Wallis (KW), Kolmogorov-Smirnov (KS) and Kuiper (K).

pip install rankbasedmontecarlo

Current version
0.1.4
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.0 KiB
Release history
3 releases with files
Median release cadence
664 days

RankBasedMonteCarlo dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. pandas >=1.3.0
  3. tqdm >=4.26.0

Compatibility and release files

RankBasedMonteCarlo publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 3 releases 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 . The preceding dated release was .