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  1. www.arviz.orgArviZ project

    ArviZ is a project that provides tools for Exploratory Analysis of Bayesian Models that are independent of the inference library used. It supports multiple languages and libraries, and is free and open source under OSI approved licenses.

    • Latest

      The ArviZ project# ArviZ is an open source project aiming to...

    • Arviz Quickstart

      ArviZ rcParams#. You may have noticed that for both...

    • Getting Started

      previous. ArviZ: Exploratory analysis of Bayesian models....

  2. pypi.org › project › arvizarviz · PyPI

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    The ArviZ documentation can be found in the official docs.First time users may find the quickstartto be helpful. Additional guidance can be found in theuser guide.

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    Stable

    ArviZ is available for installation from PyPI.The latest stable version can be installed using pip: ArviZ is also available through conda-forge.

    Development

    The latest development version can be installed from the main branch using pip: Another option is to clone the repository and install using git and setuptools:

    See full list on pypi.org

    ArviZ is a community project and welcomes contributions.Additional information can be found in the Contributing Readme

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    ArviZ wishes to maintain a positive community. Additional detailscan be found in the Code of Conduct

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    ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate here.

    See full list on pypi.org

    ArviZ is a tool for exploratory analysis of Bayesian models, such as posterior inference, data storage, model checking, comparison and diagnostics. It is available from PyPI and conda-forge, and has a Julia wrapper and documentation.

    See full list on pypi.org

  3. python.arviz.orgArviZ: Exploratory analysis of Bayesian models — ArviZ 0.18.0 ...

    ArviZ is a tool for diagnosing and visualizing Bayesian inference from various probabilistic programming libraries. It offers over 25 plotting functions, state of the art diagnostics, flexible model comparison, and labeled data support.

  4. python.arviz.org › en › latestArviZ Quickstart — ArviZ dev documentation

    ArviZ is designed to be used with libraries like PyStan and PyMC3, but works fine with raw NumPy arrays. Plotting a dictionary of arrays, ArviZ will interpret each key as the name of a different random variable. Each row of an array is treated as an independent series of draws from the variable, called a chain.

  5. github.com › arviz-devs › arvizGitHub - arviz-devs/arviz: Exploratory analysis of Bayesian ...

    ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, data storage, model checking, comparison and diagnostics. It includes functions for posterior analysis, data storage, model checking, comparison and diagnostics.

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    Name
    .azure-pipelines
    .azure-pipelines
    .github
    .github
    arviz
    arviz
    asv_benchmarks
    asv_benchmarks

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  6. en.wikipedia.org › wiki › ArviZArviZ - Wikipedia

    ArviZ (/ ˈ ɑː r v ɪ z / AR-vees) is a Python package for exploratory analysis of Bayesian models. [2] [3] [4] [5] It is specifically designed to work with the output of probabilistic programming libraries like PyMC , Stan , and others by providing a set of tools for summarizing and visualizing the results of Bayesian inference in a ...

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  8. github.com › twiecki › microarvizGitHub - twiecki/microarviz: Exploratory analysis of Bayesian ...

    ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate here.