Changelog

Development Version

v1.1.0 [8th Jan 2018]

This version is the version used for all plots in Murray, Robotham, Power (2018), and is released along with that paper. There are many changes in the code from previous versions, the result of a couple of years of sporadic work.

v1.0.0

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.