Metadata-Version: 2.1
Name: sklearn-lmer
Version: 0.0.2
Summary: Scikit-learn estimator wrappers for pymer4 wrapped LME4 mixed effects models
Home-page: https://github.com/nimh-mbdu/sklearn-lmer
Maintainer: D. Nielson
Maintainer-email: dylan.nielson@gmail.com
License: CC0
Download-URL: https://github.com/nimh-mbdu/sklearn-lmer
Description: .. -*- mode: rst -*-
        
        |Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |ReadTheDocs|_
        
        .. |Travis| image:: https://travis-ci.org/nimh-mbdu/sklearn-lmer.svg?branch=master
        .. _Travis: https://travis-ci.org/nimh-mbdu/sklearn-lmer
        
        .. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/pifxyfnev94kbej4/branch/master?svg=true
        .. _AppVeyor: https://ci.appveyor.com/project/Shotgunosine/sklearn-lmer/branch/master
        
        .. |Codecov| image:: https://codecov.io/gh/nimh-mbdu/sklearn-lmer/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/nimh-mbdu/sklearn-lmer
        .. _Codecov: https://codecov.io/gh/nimh-mbdu/sklearn-lmer
        
        .. |CircleCI| image:: https://circleci.com/gh/nimh-mbdu/sklearn-lmer.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/nimh-mbdu/sklearn-lmer/tree/master
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/sklearn-lmer/badge/?version=latest
        .. _ReadTheDocs: https://sklearn-lmer.readthedocs.io/en/latest/?badge=latest
        
        project-template - A template for scikit-learn contributions
        ============================================================
        
        .. _scikit-learn: https://scikit-learn.org
        
        **project-template** is a template project for scikit-learn_ compatible
        extensions.
        
        It aids development of estimators that can be used in scikit-learn pipelines
        and (hyper)parameter search, while facilitating testing (including some API
        compliance), documentation, open source development, packaging, and continuous
        integration.
        
        .. _documentation: https://sklearn-template.readthedocs.io/en/latest/quick_start.html
        
        Refer to the documentation_ to modify the template for your own scikit-learn
        contribution.
        
        *Thank you for cleanly contributing to the scikit-learn ecosystem!*
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: tests
Provides-Extra: docs
