Jaxspec

What's new ?

- Fixed a bug where subtracting background had no effect
- Add the possibility to use a spectral model as the background
- Luminosity can be computed using either distance or redshift
- Prior predicting coverage is clearer


**Full Changelog**: https://github.com/renecotyfanboy/jaxspec/compare/v0.1.3...v0.1.4

Just fix a silent issue in the previous release

- Prior predictive coverage using the `BayesianFitter`
- Internal fixings
- Pretty representation for `SpectralModel`

This is our first release after the article acceptance.

- All the `numpyro`'s MCMC are now gathered within our `MCMCFitter` class, where the user can switch using the `sampler` parameter
- Priors can now be passed as a flat dictionary instead of the nested dictionary from `haiku`. We want it to be the main way to pass prior in the future releases.
- Changes in the inner workings of the fitter for future features.

That's it, we are now entering the **beta** release of `jaxspec`! You can expect bugs and changing APIs as always, but now, the project starts to be mature enough so that anyone can use it. You are welcome to give it a try!

**Full Changelog**: https://github.com/renecotyfanboy/jaxspec/compare/v0.0.8...v0.1.0

**New features**

- The best-fit model photon flux, energy flux and luminosity can be computed using the `FitResult` new methods
- Introduction of `NestedSamplingFitter` which is still in beta status
- Large data tables and others are now downloaded at runtime using the `pooch` package

**Breaking changes**

- Prior distribution must now be passed when *building* the fitter object instead of using the `.fit` method
- `BayesianFitter` is renamed to `NUTSFitter`

**Full Changelog**: https://github.com/renecotyfanboy/jaxspec/compare/v0.0.7...v0.0.8