https://github.com/arviz-devs/arviz.jl
Exploratory analysis of Bayesian models with Julia
https://github.com/arviz-devs/arviz.jl
bayesian julia
Last synced: 4 months ago
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Exploratory analysis of Bayesian models with Julia
- Host: GitHub
- URL: https://github.com/arviz-devs/arviz.jl
- Owner: arviz-devs
- License: other
- Created: 2019-10-28T01:50:24.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-05-19T01:27:57.000Z (12 months ago)
- Last Synced: 2024-05-23T03:23:51.007Z (12 months ago)
- Topics: bayesian, julia
- Language: Julia
- Homepage: https://julia.arviz.org
- Size: 130 MB
- Stars: 101
- Watchers: 7
- Forks: 10
- Open Issues: 24
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
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README
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[](https://julia.arviz.org/ArviZ)
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[](https://codecov.io/github/arviz-devs/ArviZ.jl?branch=main)
[](https://github.com/invenia/BlueStyle)ArviZ.jl (pronounced "AR-_vees_") is a Julia package for exploratory analysis of Bayesian models.
It includes functions for posterior analysis, model checking, comparison and diagnostics.It is part of the [ArviZ project](https://arviz.org/), along with the Python package [ArviZ](https://python.arviz.org/).
See the [documentation](https://julia.arviz.org/ArviZ) for details.
## Contributions
ArviZ is a community project and welcomes contributions.
Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/ArviZ.jl/blob/main/CONTRIBUTING.md).## Code of Conduct
ArviZ wishes to maintain a positive community.
Additional details can be found in the [Code of Conduct](https://github.com/arviz-devs/ArviZ.jl/blob/main/CODE_OF_CONDUCT.md).## Sponsors
[
](https://numfocus.org)