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
Installation
Methods
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}}}