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        "author": "Michele Cappellari",
        "author_email": "michele.cappellari@physics.ox.ac.uk",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
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        "description": "The LOESS Package\n=================\n\n**Local Regression Smoothing in One or Two Dimensions**\n\n.. image:: https://img.shields.io/pypi/v/loess.svg\n        :target: https://pypi.org/project/loess/\n.. image:: https://img.shields.io/badge/arXiv-1208.3523-orange.svg\n    :target: https://arxiv.org/abs/1208.3523\n.. image:: https://img.shields.io/badge/DOI-10.1093/mnras/stt644-blue.svg\n        :target: https://doi.org/10.1093/mnras/stt644\n\nLOESS is a Python implementation of the Local Regression Smoothing method of\n`Cleveland (1979) <http://www.jstor.org/stable/2286407>`_ (in 1-dim) and\n`Cleveland & Devlin (1988) <http://www.jstor.org/stable/2289282>`_ (in 2-dim).\n\nAttribution\n-----------\n\nIf you use this software for your research, please cite the LOESS package of\n`Cappellari et al. (2013b) <http://adsabs.harvard.edu/abs/2013MNRAS.432.1862C>`_,\nwhere the implementation was described. The BibTeX entry for the paper is::\n\n    @ARTICLE{Cappellari2013b,\n        author = {{Cappellari}, M. and {McDermid}, R.~M. and {Alatalo}, K. and \n            {Blitz}, L. and {Bois}, M. and {Bournaud}, F. and {Bureau}, M. and \n            {Crocker}, A.~F. and {Davies}, R.~L. and {Davis}, T.~A. and \n            {de Zeeuw}, P.~T. and {Duc}, P.-A. and {Emsellem}, E. and {Khochfar}, S. and \n            {Krajnovi{\\'c}}, D. and {Kuntschner}, H. and {Morganti}, R. and \n            {Naab}, T. and {Oosterloo}, T. and {Sarzi}, M. and {Scott}, N. and \n            {Serra}, P. and {Weijmans}, A.-M. and {Young}, L.~M.},\n        title = \"{The ATLAS$^{3D}$ project - XX. Mass-size and mass-{$\\sigma$}\n            distributions of early-type galaxies: bulge fraction drives kinematics,\n            mass-to-light ratio, molecular gas fraction and stellar initial mass\n            function}\",\n        journal = {MNRAS},\n        eprint = {1208.3523},\n         year = 2013,\n        volume = 432,\n        pages = {1862-1893},\n          doi = {10.1093/mnras/stt644}\n    }\n\nInstallation\n------------\n\ninstall with::\n\n    pip install loess\n\nWithout writing access to the global ``site-packages`` directory, use::\n\n    pip install --user loess\n\nDocumentation\n-------------\n\nSee ``loess/examples`` and the files headers.\n\nLicense\n-------\n\nCopyright (c) 2010-2018 Michele Cappellari\n\nThis software is provided as is without any warranty whatsoever.\nPermission to use, for non-commercial purposes is granted.\nPermission to modify for personal or internal use is granted,\nprovided this copyright and disclaimer are included in all\ncopies of the software. All other rights are reserved.\nIn particular, redistribution of the code is not allowed.",
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        "name": "loess",
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