Metadata-Version: 2.1
Name: arviz
Version: 0.3.3
Summary: Exploratory analysis of Bayesian models
Home-page: http://github.com/arviz-devs/arviz
Author: ArviZ Developers
License: UNKNOWN
Description: <img src="https://arviz-devs.github.io/arviz/_static/logo.png" height=100></img>
        
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        # ArviZ
        
        ArviZ (pronounced "AR-_vees_") is a Python package for exploratory analysis of Bayesian models.
        Includes functions for posterior analysis, model checking, comparison and diagnostics.
        
        ## Documentation
        
        The ArviZ documentation can be found in the [official docs](https://arviz-devs.github.io/arviz/index.html).
        First time users may find the [quickstart](https://arviz-devs.github.io/arviz/notebooks/Introduction.html)
        to be helpful. Additional guidance can be found in the
        [usage documentation](https://arviz-devs.github.io/arviz/usage.html).
        
        
        ## Installation
        
        ### Stable
        ArviZ is available for installation from [PyPI](https://pypi.org/project/arviz/).
        The latest stable version can be installed using pip:
        
        ```
        pip install arviz
        ```
        
        ### Development
        The latest development version can be installed from the master branch using pip:
        
        ```
        pip install git+git://github.com/arviz-devs/arviz.git
        ```
        
        Another option is to clone the repository and install using git and setuptools:
        
        ```
        git clone https://github.com/arviz-devs/arviz.git
        cd arviz
        python setup.py install
        ```
        
        -------------------------------------------------------------------------------
        ## [Gallery](https://arviz-devs.github.io/arviz/examples/index.html)
        
        <p>
        <table>
        <tr>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_forest_ridge.html">
          <img alt="Ridge plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_forest_ridge_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_parallel.html">
          <img alt="Parallel plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_parallel_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_trace.html">
          <img alt="Trace plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_trace_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_density.html">
          <img alt="Density plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_density_thumb.png" />
          </a>
          </td>
        
          </tr>
          <tr>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_posterior.html">
          <img alt="Posterior plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_posterior_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_joint.html">
          <img alt="Joint plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_joint_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_ppc.html">
          <img alt="Posterior predictive plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_ppc_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_pair.html">
          <img alt="Pair plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_pair_thumb.png" />
          </a>
          </td>
        
          </tr>
          <tr>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_energy.html">
          <img alt="Energy Plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_energy_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_violin.html">
          <img alt="Violin Plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_violin_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_forest.html">
          <img alt="Forest Plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_forest_thumb.png" />
          </a>
          </td>
        
          <td>
          <a href="https://arviz-devs.github.io/arviz/examples/plot_autocorr.html">
          <img alt="Autocorrelation Plot"
          src="https://arviz-devs.github.io/arviz/_static/plot_autocorr_thumb.png" />
          </a>
          </td>
        
        </tr>
        </table>
        
        ## Dependencies
        
        ArviZ is tested on Python 3.5 and 3.6, and depends on NumPy, SciPy, xarray, and Matplotlib.
        
        
        ## Citation
        
        
        If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143)
        
        Here is the citation in BibTeX format
        
        ```
        @article{arviz_2019,
        	title = {{ArviZ} a unified library for exploratory analysis of {Bayesian} models in {Python}},
        	author = {Kumar, Ravin and Colin, Carroll and Hartikainen, Ari and Martin, Osvaldo A.},
        	journal = {The Journal of Open Source Software},
        	year = {2019},
        	doi = {10.21105/joss.01143},
        	url = {http://joss.theoj.org/papers/10.21105/joss.01143},
        }
        ```
        
        
        ## Contributions
        ArviZ is a community project and welcomes contributions. 
        Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/master/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/blob/master/CODE_OF_CONDUCT.MD)
        
        
        ### Developing
        
        A typical development workflow is:
        
        1. Install project requirements: `pip install -r requirements.txt`
        2. Install additional testing requirements: `pip install -r requirements-dev.txt`
        3. Write helpful code and tests.
        4. Verify code style: `./scripts/lint.sh`
        5. Run test suite: `pytest arviz/tests`
        6. Make a pull request.
        
        There is also a Dockerfile which helps for isolating build problems and local development.
        
        1. Install Docker for your operating system
        2. Clone this repo,
        3. Run `./scripts/container.sh --build`
        
        This will build a local image with the tag `arviz`. 
        After building the image tests can be executing by running  
        `docker run arviz bash pytest arviz/tests`
         
        An interactive shell can be started by running  
        `docker run -it arviz /bin/bash`  
         The correct conda environment will be activated automatically.
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
