Metadata-Version: 2.4
Name: vaxflux
Version: 0.3.0
Summary: Flexible bayesian models for seasonal vaccine uptake.
License: MIT
License-File: LICENSE
Requires-Python: <3.13,>=3.11
Requires-Dist: arviz>=0.19.0
Requires-Dist: jax>=0.6.2
Requires-Dist: numpy<2,>=1.17.0
Requires-Dist: numpyro>=0.19.0
Requires-Dist: pandas<4,>=3.0.0
Requires-Dist: pydantic>=2.10.6
Requires-Dist: requests>=2.32.3
Requires-Dist: scipy>=1.14.1
Requires-Dist: xarray>=2024.7.0
Provides-Extra: demo
Requires-Dist: arviz-plots[matplotlib]>=0.5.0; extra == 'demo'
Requires-Dist: graphviz>=0.21; extra == 'demo'
Requires-Dist: ipykernel>=7.1.0; extra == 'demo'
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Requires-Dist: nbconvert>=7.16.6; extra == 'demo'
Requires-Dist: seaborn>=0.13.2; extra == 'demo'
Provides-Extra: plot
Requires-Dist: matplotlib>=3.10.8; extra == 'plot'
Description-Content-Type: text/markdown

# `vaxflux` - Seasonal Vaccine Uptake Modeling

`vaxflux` is a python package for modeling seasonal vaccine uptake like
influenza vaccines. It is capable of incorporating arbitrary covariates and
geographic regions, observations at multiple time scales, modeling the effects
of interventions, and more.

## Getting Started

`vaxflux` can either be installed from PyPI:

```bash
uv pip install vaxflux
```

or from source:

```bash
git clone git@github.com:ACCIDDA/vaxflux.git
cd vaxflux
uv sync
```

# Funding Acknowledgement

This project was made possible by cooperative agreement CDC-RFA-FT-23-0069 from
the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely
the responsibility of the authors and do not necessarily represent the official
views of the Centers for Disease Control and Prevention.
