Metadata-Version: 2.1
Name: LOTUS-regression
Version: 0.8.3
Summary: Regression model developed for the LOTUS project
Author-email: usask-arg <daniel.zawada@usask.ca>
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: xarray
Requires-Dist: statsmodels
Requires-Dist: requests
Requires-Dist: appdirs
Provides-Extra: test
Requires-Dist: pytest; extra == "test"

# LOTUS Regression
A multi-linear regression model specifically designed for use in calculation of trends for atmospheric constituents.
Developed as part of the LOTUS initiative (https://www.sparc-climate.org/activities/ozone-trends/, https://lotus.aeronomie.be)

## Installation Requirements
The code is tested on Python versions `3.8, 3.9, 3,10, 3.11` and should work on any of them,
however we recommend using the [Anaconda python distribution](https://www.continuum.io/downloads).


## Documentation
For more indepth documentation see http://arg.usask.ca/docs/LOTUS_regression/
