name: bayesbridge
description: Generates posterior samples under Bayesian sparse regression based on the bridge prior using the CG-accelerated Gibbs sampler of Nishimura et. al. (2018). The linear and logistic model are currently supported.
license_spdx: MIT
version: 0.2.1
spec_version: 1.0
home_url: https://github.com/aki-nishimura/bayes-bridge
news_url: https://libraries.io/pypi/bayesbridge/versions.atom
date: 2021-03-08
about_resource: NONE
libraries_io_url: https://libraries.io/pypi/bayesbridge?number=0.2.1
vcs_tool: git
vcs_repository: https://github.com/OHDSI/bayes-bridge
vcs_branch: master
