pydftools 0.1.0

pydftools

A pure-python port of the dftools R package.

This package attempts to imitate the dftools package (repo: https://github.com/obreschkow/dftools ) quite closely, while being as Pythonic as possible. Do note that 2D+ models are not yet implemented in this Python port, and neither are non-parametric models. Hopefully they will be along soon.

From dftool’s description:

This package can find the most likely P parameters of a D-dimensional distribution function (DF) generating N objects, where each object is specified by D observables with measurement uncertainties. For instance, if the objects are galaxies, it can fit a MF (P=1), a mass-size distribution (P=2) or the mass-spin-morphology distribution (P=3). Unlike most common fitting approaches, this method accurately accounts for measurement is uncertainties and complex selection functions. A full description of the algorithm can be found in Obreschkow et al. (2017).

In short, clean out Eddington bias from your fits:

• Free software: MIT license

• Documentation: https://pydftools.readthedocs.io.

History

0.1.0 (2017-10-25)

• First release on PyPI.

• All basic examples working as expected

• TravisCI, Readthedocs set up.

• Does not have multi-dimension support, or non-parametric support.