Factual package intelligence from PyPI

simplebayesuncertainty 0.0.1 package intelligence

The paper provides a simple and easy method to employ the Bayesian paradigm for typical applications in metrology. The suggested choice for the prior, the sampling methods and the analysis of the resulting posterior is covered in this repository.

pip install simplebayesuncertainty

Current version
0.0.1
Python requirement
>=3.6
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
20.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

simplebayesuncertainty dependencies

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This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

simplebayesuncertainty publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

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 .