Factual package intelligence from PyPI

pmoss 2.1 package intelligence

Python package to model the p-value as an n-dependent function using Monte Carlo cross-validation.

pip install pmoss

Current version
2.1
Python requirement
>=3.9
License
BSD 3-Clause License
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
25.6 KiB
Release history
3 releases with files
Median release cadence
223 days

pmoss dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.25.2
  2. pandas ==1.5.3
  3. scipy ==1.12.0
  4. xlrd ==2.0.1
  5. matplotlib ==3.8.3
  6. seaborn ==0.13.2
  7. statsmodels ==0.14.1
  8. glob2 ==0.7
  9. pytest-shutil ==1.7.0
  10. openpyxl ==3.1.2

Compatibility and release files

pmoss publishes 0 wheels and 1 source archive for version 2.1. Wheel platform tags: No wheel platform tags.

No version-specific Python classifiers are declared.

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 .