Metadata-Version: 2.1
Name: dolfen
Version: 0.0.1
Summary: Downsampling Likelihood Function Estimation
Home-page: http://dolfen.readthedocs.org/
Download-URL: http://pypi.python.org/pypi/dolfen
Author: Jethro Linley
Author-email: jethro.linley@hotmail.co.uk
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: numpy>=1.25.2
Requires-Dist: scipy>=1.11.2

# dolfen: Downsampling Estimation of the Likelihood function for Time-domain signals

``dolfen``: Downsampling Likelihood Function Estimation

``dolfen`` is an algorithm for Bayesian analysis that infers the likelihood function by downsampling. It is designed in particular for use with simulated, long duration, slowly evolving signals consisting of very many datapoints, where the Bayesian likelihood is expensive.

## Installation

``dolfen`` can be installed using ``pip``:

```console
pip install dolfen
```

### Using ``bilby``

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See the examples included with ``dolfen`` for how to run ``dolfen`` via ``bilby``.

## Documentation

Documentation is available at: [dolfen.readthedocs.io](https://dolfen.readthedocs.io/)

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## Contributing

Please see the guidelines [here](https://github.com/jethrolinley/dolfen/CONTRIBUTING.md).


## Citing

If you find ``dolfen`` useful in your work please cite the DOI for this code and our papers:


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