{ "info": { "author": "Abraham Lee", "author_email": "tisimst@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.0", "Programming Language :: Python :: 3.1", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Topic :: Education", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Physics", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Utilities" ], "description": "=====================================================\n``pyDOE``: The experimental design package for python\n=====================================================\n\nThe ``pyDOE`` package is designed to help the \n**scientist, engineer, statistician,** etc., to construct appropriate \n**experimental designs**.\n\nCapabilities\n============\n\nThe package currently includes functions for creating designs for any \nnumber of factors:\n\n- *Factorial Designs*\n\n #. **General Full-Factorial** (``fullfact``)\n\n #. **2-level Full-Factorial** (``ff2n``)\n\n #. **2-level Fractional Factorial** (``fracfact``)\n\n #. **Plackett-Burman** (``pbdesign``)\n\n- *Response-Surface Designs* \n\n #. **Box-Behnken** (``bbdesign``)\n\n #. **Central-Composite** (``ccdesign``)\n\n- *Randomized Designs*\n\n #. **Latin-Hypercube** (``lhs``)\n \n*See the* `package homepage`_ *for details on usage and other notes*\n\nWhat's New\n==========\n\nIn this release, an incorrect indexing variable in the internal LHS function\n`_pdist` has been corrected so point-distances are now calculated accurately.\n\nRequirements\n============\n\n- NumPy\n- SciPy\n\nInstallation and download\n=========================\n\nSee the `package homepage`_ for helpful hints relating to downloading\nand installing pyDOE.\n\nSource Code\n===========\n\nThe latest, bleeding-edge but working `code\n`_\nand `documentation source\n`_ are\navailable `on GitHub `_.\n\nContact\n=======\n\nAny feedback, questions, bug reports, or success stores should\nbe sent to the `author`_. I'd love to hear from you!\n\nCredits\n=======\n\nThis code was originally published by the following individuals for use with\nScilab:\n \n- Copyright (C) 2012 - 2013 - Michael Baudin\n- Copyright (C) 2012 - Maria Christopoulou\n- Copyright (C) 2010 - 2011 - INRIA - Michael Baudin\n- Copyright (C) 2009 - Yann Collette\n- Copyright (C) 2009 - CEA - Jean-Marc Martinez\n\n- Website: forge.scilab.org/index.php/p/scidoe/sourcetree/master/macros\n\nMuch thanks goes to these individuals.\n\nAnd thanks goes out to the following for finding and offering solutions for\nbugs:\n\n- Ashmeet Singh\n\nLicense\n=======\n\nThis package is provided under two licenses:\n\n1. The *BSD License* (3-clause)\n2. Any other that the author approves (just ask!)\n\nReferences\n==========\n\n- `Factorial designs`_\n- `Plackett-Burman designs`_\n- `Box-Behnken designs`_\n- `Central composite designs`_\n- `Latin-Hypercube designs`_\n\n.. _author: mailto:tisimst@gmail.com\n.. _Factorial designs: http://en.wikipedia.org/wiki/Factorial_experiment\n.. _Box-Behnken designs: http://en.wikipedia.org/wiki/Box-Behnken_design\n.. _Central composite designs: http://en.wikipedia.org/wiki/Central_composite_design\n.. _Plackett-Burman designs: http://en.wikipedia.org/wiki/Plackett-Burman_design\n.. _Latin-Hypercube designs: http://en.wikipedia.org/wiki/Latin_hypercube_sampling\n.. _package homepage: http://pythonhosted.org/pyDOE\n.. _lhs documentation: http://pythonhosted.org/pyDOE/randomized.html#latin-hypercube", "description_content_type": null, "docs_url": "https://pythonhosted.org/pyDOE/", "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": 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