Metadata-Version: 2.1
Name: hyperfit
Version: 0.1.1
Summary: Properly fit data with x and y errors
Home-page: https://github.com/CullanHowlett/HyperFit
Author: Cullan Howlett
Author-email: cullan.howlett@gmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/CullanHowlett/HyperFit/issues
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9, <4
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# HyperFit
A neat python package for fitting N dimensional data with (possibly covariant) errors with an N-1 dimensional plane. Put simply, if you have data with x and y errors and you want the correct method for fitting a straight line, use this package! But it also works for higher dimensions.

Based on the R HyperFit package by Aaron Robotham and Danail Obreschkow. More details on the method can be found here: https://ui.adsabs.harvard.edu/abs/2015PASA...32...33R/abstract. Please cite this paper if you use this package.


