Metadata-Version: 2.3
Name: linregmc
Version: 0.1.1
Summary: Linear regression with Monte Carlo error analysis
License: MIT
Author: Pär Söderhjelm
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: numpy (>=1.23,<3.0)
Description-Content-Type: text/markdown

# linregmc package  (Linear regression with Monte Carlo error analysis)

This package is a single module which contains four functions:<br>
addnoise        - introduce noise in the data based on known experimental precision<br>
linreg          - perform multiple linear regressions and calculate goodness-of-fit<br>
confidence      - get confidence intervals, plot distributions etc.<br>
linconf         - do all the steps in succession, including possible transformation of the data<br>

