name: simplebayesuncertainty
description: 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.
license_spdx: Other
version: 0.0.1
spec_version: 1.0
home_url: https://github.com/manuelmarschall/SimpleBayesUncertainty
news_url: https://libraries.io/pypi/simplebayesuncertainty/versions.atom
date: 2020-07-08
about_resource: NONE
libraries_io_url: https://libraries.io/pypi/simplebayesuncertainty?number=0.0.1
vcs_tool: git
vcs_repository: https://github.com/manuelmarschall/SimpleBayesUncertainty
vcs_branch: master
