{ "info": { "author": "Lucas M. Soares Gallindo", "author_email": "lucas.soares@ufpe.br", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Education :: Computer Aided Instruction (CAI)", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Physics" ], "description": "Probability distributions are elements of measure theory and general statistics,providing standardized formulas to computeodds of events happening.\nThis package presents new probability distributions produced by skewing regulardistribution using trigonometric functions.\nReferences:\n* http://goo.gl/Z6nbJz\n* CosW: https://cran.r-project.org/web/packages/CosW/index.html\n* SecKW: https://cran.r-project.org/web/packages/SecKW/index.html\n* SinIW: https://cran.r-project.org/web/packages/SinIW/index.html\n* TanB: https://cran.r-project.org/web/packages/TanB/index.html", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/TrigonometricDistribution", "keywords": "Statistics Probability Distribution", "license": "GPLv3+", "maintainer": null, "maintainer_email": null, "name": "trigdistrs", "package_url": "https://pypi.org/project/trigdistrs/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/trigdistrs/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/TrigonometricDistribution" }, "release_url": "https://pypi.org/project/trigdistrs/0.0.1/", "requires_dist": null, "requires_python": null, "summary": "Trigonometric Probability Distributions (see Souza 2016: NEW TRIGONOMETRIC CLASSES OF PROBABILISTIC DISTRIBUTIONS, PhD Thesisavailable at http://goo.gl/Z6nbJz).\nUses symbolic computing with sympy.stats.", "version": "0.0.1" }, "last_serial": 2328183, "releases": { "0.0.1": [], "0.0a1": [ { "comment_text": "", "digests": { "md5": "e6dbf0894b4c5f6b3ab975e0bd6f686f", "sha256": "6d47af57385bae83bc676d8786a3f074f06615bf95e1a78a96226daaaca491ea" }, "downloads": -1, "filename": "trigdistrs-0.0a1.tar.gz", "has_sig": false, "md5_digest": "e6dbf0894b4c5f6b3ab975e0bd6f686f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3486, "upload_time": "2016-09-06T20:55:01", "url": "https://files.pythonhosted.org/packages/74/70/a600b3cd6a5c231b7c2284a16b877a8e254142268c1957c50940a667b7af/trigdistrs-0.0a1.tar.gz" } ] }, "urls": [] }