jaxspec` is now deployed on pypi! Anyone can download it simply with `pip install jaxspec`. This update comes with some new features and a better backend overall :
- Instrumental data is now backed with `xarray.Dataset`, allowing semantic dimension naming which (in my opinion) greatly improves the clarity of coding.
- Same with instrument, which is now a wrapping around the amazing `arviz.InferenceData`, easing the use of `arviz`for various Bayesian checks on the fits
- We reverted the ability to fit several observations at once, as it was implemented in an unmaintainable way. It will come back soon.
- Models are automatically transformed when including transformed prior distributions (e.g. LogUniform). It eases the use of NUTS to sample the posterior distributions