distfit’s documentation!

distfit is python package for probability density functions of univariate distributions on non-censored data by residual sum of squares (RSS). distfit determines the best fit across 89 theoretical distributions. The best fitted theoretical distribution is returned with the loc, scale, arg parameters. New data-points can then be assed for significance on the detected distribution.

Content

Background

Examples

Code Documentation

Quick install

pip install distfit

Source code and issue tracker

Available on Github, erdogant/distfit. Please report bugs, issues and feature extensions there.

Citing distfit

Here is an example BibTeX entry:

@misc{erdogant2019distfit,

title={distfit}, author={Erdogan Taskesen}, year={2019}, howpublished={url{https://github.com/erdogant/distfit}}}

Indices and tables