The Open Source Programs Office (OSPO) is excited to share our Open Source Project Catalog! The catalog is a continuously growing collection of open source software projects developed or contributed to by faculty, staff, and students on campus. We encourage you to explore the projects, learn about their applications, and potentially collaborate with the developers.
Want to get in touch with a representative from one of the listed projects?
If there’s no contact information on the project detail page, email us at ospo@jhu.edu and we’ll make the connection.
| Project Name | BayesBridge |
|---|---|
| Project Description | BayesBridge is a Python package for Bayesian sparse regression, implementing the standard (Polya-Gamma augmented) Gibbs sampler as well as the CG-accelerated sampler of Nishimura and Suchard (2022). The latter algorithm can be orders of magnitudes faster for a large and sparse design matrix. BayesBridge is part of the HADES set of open source R packages for large scale analytics. |
| Project Website | https://bayes-bridge.readthedocs.io/en/latest/ |
| Code Repository | https://github.com/OHDSI/bayes-bridge |
| School / Division | Bloomberg School of Public Health |
| Department / Administrative Unit | Biostatistics |
| Project Role |
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| Project Status | In Production, Active development |
| License | Apache-2.0 |
| Notes | The Health-Analytics Data to Evidence Suite (HADES) is an open-source software collection developed by Observational Health Data Sciences and Informatics (OHDSI). It executes directly against healthcare data such as electronic health records and administrative claims, that have been converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. |
| Date Updated | April 3, 2024 |
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