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"author": "Sat Kumar Tomer",
"author_email": "satkumartomer@gmail.com",
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"Development Status :: 4 - Beta",
"Environment :: Other Environment",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)",
"Operating System :: OS Independent",
"Programming Language :: Python",
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"description": "==================================================\r\nThis library is now part of the ambhas \r\n(http://pypi.python.org/pypi/ambhas/) library. \r\nUpdates will only be made in the ambhas library. \r\n==================================================\r\n\r\n\r\n============\r\nCopulalib\r\n============\r\n\r\nThis is a package/library in python to model the copulas.\r\nThis is being developed under the project `AMBHAS `_.\r\n\r\nThis contains module for the following copula\r\n------------------------------------------------\r\n* Frank\r\n* Clayton\r\n* Gumbel\r\n\r\n\r\nInstalling copulalib\r\n======================\r\n\r\nInstalling copulalib can be done by downloading source file (copulalib--.tar.gz),\r\nand after unpacking issuing the command::\r\n\r\n python setup.py install\r\n\r\nThis requires the usual Distutils options available.\r\n\r\nOr, download the copulalib--.tar.gz file and issue the command::\r\n \r\n pip /path/to/copulalib--.tar.gz\r\n\r\nOr, directly using the pip::\r\n\r\n pip install copulalib \r\n\r\n\r\nUsage\r\n=========\r\nImport required modules::\r\n\r\n import numpy as np\r\n import matplotlib.pyplot as plt\r\n from copulalib.copulalib import Copula\r\n\r\nGenerate random (normal distributed) numbers::\r\n\r\n x = np.random.normal(size=100)\r\n y = 2.5*x+ np.random.normal(size=100)\r\n\r\nMake the instance of Copula class with x, y and clayton family::\r\n\r\n foo = Copula(x, y, family='clayton')\r\n\r\nPrint the Kendall's rank correlation::\r\n\r\n print foo.tau \r\n\r\nPrint spearmen's correlation::\r\n\r\n print foo.sr\r\n\r\nPrint pearson's correlation::\r\n\r\n print foo.pr\r\n\r\nPrint the parameter (theta) of copula::\r\n\r\n print foo.theta\r\n\r\nGenerate the 1000 samples (U,V) of copula::\r\n \r\n X1, Y1 = foo.generate_xy(1000)\r\n\r\nFor more details see the test.py file inside module.\r\n\r\nChangelog\r\n=========\r\n\r\n1.1.0 (June 2011)\r\n------------------\r\n\r\n- Changed from function orieted to object oriented, documentation improved.\r\n\r\n1.0.0 (May 2011)\r\n------------------\r\n\r\n- Initial release\r\n\r\n\r\nAny questions/comments\r\n=========================\r\nIf you have any comment/suggestion/question, \r\nplease feel free to write me at satkumartomer@gmail.com\r\n\r\nSo far, the documents are not well explained, \r\nI will be updating them soon.",
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