Metadata-Version: 2.1
Name: autoreject
Version: 0.2.2
Summary: Automated rejection and repair of epochs in M/EEG.
Home-page: http://autoreject.github.io/
Maintainer: Mainak Jas
Maintainer-email: mainakjas@gmail.com
License: BSD (3-clause)
Download-URL: https://github.com/autoreject/autoreject.git
Project-URL: Documentation, http://autoreject.github.io/
Project-URL: Bug Reports, https://github.com/autoreject/autoreject/issues
Project-URL: Source, https://github.com/autoreject/autoreject
Description: Auto Reject
        ===========
        
        |CircleCI|_ |Travis|_ |Codecov|_
        
        .. |CircleCI| image:: https://circleci.com/gh/autoreject/autoreject/tree/master.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/autoreject/autoreject
        
        .. |Travis| image:: https://api.travis-ci.org/autoreject/autoreject.svg?branch=master
        .. _Travis: https://travis-ci.org/autoreject/autoreject
        
        .. |Codecov| image:: http://codecov.io/github/autoreject/autoreject/coverage.svg?branch=master
        .. _Codecov: http://codecov.io/github/autoreject/autoreject?branch=master
        
        This repository hosts code to automatically reject trials and repair sensors for M/EEG data.
        
        .. image:: http://autoreject.github.io/_images/sphx_glr_plot_visualize_bad_epochs_002.png
        
        
        The documentation can be found under the following links:
        
        - for the `stable release <https://autoreject.github.io/>`_
        - for the `latest (development) version <https://circleci.com/api/v1.1/project/github/autoreject/autoreject/latest/artifacts/0/html/index.html?branch=master>`_
        
        Dependencies
        ------------
        
        These are the dependencies to use autoreject:
        
        * Python (>=3.5)
        * numpy (>=1.8)
        * matplotlib (>=1.3)
        * scipy (>=0.16)
        * mne-python (>=0.14)
        * scikit-learn (>=0.18)
        * joblib
        
        Two optional dependencies are `tqdm` (for nice progressbars) and `h5py` (for IO).
        
        Cite
        ----
        
        If you use this code in your project, please cite::
        
            Mainak Jas, Denis Engemann, Federico Raimondo, Yousra Bekhti, and Alexandre Gramfort,
            "Automated rejection and repair of bad trials in MEG/EEG." In 6th International Workshop on
            Pattern Recognition in Neuroimaging (PRNI). 2016.
        
            Mainak Jas, Denis Engemann, Yousra Bekhti, Federico Raimondo, and Alexandre Gramfort. 2017.
            Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage, 159, 417-429.
        
Keywords: electroencephalography eeg magnetoencephalography meg preprocessing analysis
Platform: any
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/x-rst
