distfit’s documentation!¶
distfit
is a python package for probability density fitting of univariate distributions on non-censored data. With the Residual Sum of Squares (RSS) we determine the best fit across 89 theoretical distributions for which the best fitted theoretical distribution is returned with the loc, scale, arg parameters. The probability of new data-points can then be assed for significance.
distfit vs. fitdist
The fitdist
library is directly build on the distfit
library so there are no changes between the two except for naming. If you desire to use the fitdist
library thats great! Just change all the examples in this documentation into fitdist
. Thats it. Have fun!
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}}}