Metadata-Version: 2.1
Name: mn2
Version: 0.0.14
Summary: Linear Mixed Models by Feed-Forward Neural Networks.
Home-page: https://github.com/orgs/CIMMYT/teams/mixed-models/
Author: Fernando H Toledo
Author-email: f.toledo@cgiar.org
License: GPLv2
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas (>=2.2.3)
Requires-Dist: patsy (>=1.0.1)
Requires-Dist: pip (>=23.0.1)
Requires-Dist: scipy (>=1.15.2)
Requires-Dist: setuptools (>=66.1.1)
Requires-Dist: torch (>=2.6.0)

# mn2: Mixed Models by Neural Networks

mn2 is software package to fit linear mixed models to experimental data. It
allows to maximize the restricted likelihood criteria and obtain estimatives of
fixed effects and variance components. Prediction of random effects parameters
and coefficients can be made over different structures of variance
covariance.
