------
Features
++++++++
- New ``PerObjFit`` class supersedes ``get_fit_perobj`` function, providing more
coherent fitting capabilities.
- Added heaps of "real-world" examples (used in MRP paper):
* https://github/steven-murray/mrpy/docs/examples/fit_curve_against_analytic.ipynb
* https://github/steven-murray/mrpy/docs/examples/fit_simulation_suite.ipynb
* https://github/steven-murray/mrpy/docs/examples/heirarchical_model_stan.ipynb
* https://github/steven-murray/mrpy/docs/examples/explore_analytic_model.ipynb
* https://github/steven-murray/mrpy/docs/examples/mmin_dependence.ipynb
* https://github/steven-murray/mrpy/docs/examples/physical_dependence.ipynb
* https://github/steven-murray/mrpy/docs/examples/parameterization_performance.ipynb
* https://github/steven-murray/mrpy/docs/examples/SMHM.ipynb
- Added ``model`` argument to ``fit_perobj_stan`` to facilitate pickling of multiple fits.
- Added ability to send keyword arguments to priors in ``PerObjFit`` class
- Added a ``normal_prior`` function for simple normal priors.
Enhancements
++++++++++++
- Changed default weighting from 1 to 0 in ``get_fit_curve``.
- Added tests for the ``PerObjLikeWeights`` class.
- Added tests for ``nbar`` and ``rhobar`` for general ``m`` in ``MRP` subclasses.
- Changed imports so that they wouldn't show up in docs
- Many improvements to documentation (including this file!)
Bugfixes
++++++++
- Fixed issue setting ``log_mmin`` in ``IdealAnalytic``
- Fixed issue in which ``nbar`` and ``rhobar`` are wrong if ``mmin`` is not ``m.min()`` in ``MRP`` subclasses.