Metadata-Version: 2.1
Name: clarite
Version: 1.2.0
Summary: CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures
Home-page: https://github.com/HallLab/clarite-python
Author: Hall Lab
Author-email: mah546@psu.edu
License: BSD License (BSD-3-Clause)
Description: .. image:: https://raw.githubusercontent.com/HallLab/clarite-python/master/docs/source/_static/clarite_logo.png
           :target: https://clarite-python.readthedocs.io/en/stable/
           :align: center
           :alt: CLARITE Logo
        
        ------------
        
        .. image:: https://img.shields.io/badge/python-3.7+-blue.svg?style=flat-square
           :target: https://pypi.python.org/pypi/clarite
           :alt: Python version
        
        .. image:: https://img.shields.io/pypi/v/clarite.svg?style=flat-square
           :target: https://pypi.org/project/clarite/
           :alt: PyPI
        
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           :target: https://github.com/HallLab/clarite-python/actions?query=workflow%3ACI
           :alt: Build status
        
        .. image:: https://img.shields.io/readthedocs/clarite-python?style=flat-square
           :target: https://clarite-python.readthedocs.io/en/latest/
           :alt: Docs
        
        .. image:: https://img.shields.io/codecov/c/gh/HallLab/clarite-python.svg?style=flat-square
           :target: https://codecov.io/gh/HallLab/clarite-python/
           :alt: Test coverage
        
        .. image:: https://img.shields.io/pypi/l/clarite-python?style=flat-square
           :target: https://opensource.org/licenses/BSD-3-Clause
           :alt: License
        
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           :target: https://github.com/psf/black
           :alt: Black
        
        ------------
        
        CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures
        ==============================================================================
        
        * Free software: 3-clause BSD license
        * Documentation: https://www.hall-lab.org/clarite-python/.
        
        Installation
        ------------
        
        In order to use the *survey_r* regression_kind in the *ewas* function, R must be installed along with the *survey* library.
        
        1. Install R and ensure it is accessible from the command line.  You may need to add its location to the PATH environmental variable.
        2. Use *install.packages* in R to install the *survey* library.
        
        Questions
        ---------
        If you have any questions not answered by the `documentation <https://clarite-python.readthedocs.io/en/latest/>`_,
        feel free to open an `Issue <https://github.com/HallLab/clarite-python/issues>`_.
        
        Citing CLARITE
        --------------
        
        1.
        Lucas AM, et al (2019)
        `CLARITE facilitates the quality control and analysis process for EWAS of metabolic-related traits. <https://www.frontiersin.org/article/10.3389/fgene.2019.01240>`_
        *Frontiers in Genetics*: 10, 1240
        
        2.
        Passero K, et al (2020)
        `Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data. <https://www.worldscientific.com/doi/abs/10.1142/9789811215636_0058>`_
        *Pacific Symposium on Biocomputing*: 25, 659
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
