{ "info": { "author": "Fabian Dablander", "author_email": "dostodabsi@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "v-statistic\n------------\n\nImplements the v-statistic, a measure that compares the estimation\naccuracy of the ordinary least squares estimator against a random benchmark.\n\nSee the paper here: http://www.ncbi.nlm.nih.gov/m/pubmed/23661222/ which features\nand implementation in R.\n\nI also wrote a Julia version, see https://github.com/dostodabsi/V.jl.\n\ninstall and run\n---------------\n\ninstall with \n\n```\n[sudo] pip install vstat\n```\n\nimport with\n\n```\nimport vstat\n```\n\nand calculate v with\n\n```\nvstat.vstat(120, 4, .05)\n```\n\nor calculate necessary (total n, n per predictor) for a specific v with\n\n```\nvstat.sample_size(3, .05, v=.8)\n```\n", "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/dostodabsi/vstat.py", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "vstat", "package_url": "https://pypi.org/project/vstat/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/vstat/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/dostodabsi/vstat.py" }, "release_url": "https://pypi.org/project/vstat/0.3/", "requires_dist": null, "requires_python": null, "summary": "Implementation of the v-statistic", "version": "0.3" }, "last_serial": 1366770, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "68685bec9f81160ec3f7649860c6905d", "sha256": "961cb77133ff88a17263c87f4ee222b7d4fe156761f00e4e0458236c6e3d3be3" }, "downloads": -1, "filename": "vstat-0.1.tar.gz", "has_sig": false, "md5_digest": "68685bec9f81160ec3f7649860c6905d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1544, "upload_time": "2015-01-01T10:27:09", "url": "https://files.pythonhosted.org/packages/2d/83/51580ee781c0c94750accc1f9bcc072d6c1e5d4f36f462766c1d1aea0399/vstat-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "9d74cd4c4cbc25994091c7bef095f063", "sha256": "8368c717f4e41de0b87305b6fd2d1471a1833466f177ea25fe7884a9926bf781" }, "downloads": -1, "filename": "vstat-0.2.tar.gz", "has_sig": false, "md5_digest": "9d74cd4c4cbc25994091c7bef095f063", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1722, "upload_time": "2015-01-01T12:51:53", "url": "https://files.pythonhosted.org/packages/c6/1a/b6f27b22a39a3327b8821d7a50980c819a1c04fc19dcc166b9c986730350/vstat-0.2.tar.gz" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "87d824df2dc4597242507c760317b55e", "sha256": "9bbabc9ddce9561290be01684b08793d3b8f92a5d5c274831145636a478f6ee9" }, "downloads": -1, "filename": "vstat-0.3.tar.gz", "has_sig": false, "md5_digest": "87d824df2dc4597242507c760317b55e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1775, "upload_time": "2015-01-01T13:19:44", "url": "https://files.pythonhosted.org/packages/2f/06/dfb14771f7bbc80e80129be59c7165826d53b9d6eae3e92f48f3ee52ed1b/vstat-0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "87d824df2dc4597242507c760317b55e", "sha256": "9bbabc9ddce9561290be01684b08793d3b8f92a5d5c274831145636a478f6ee9" }, "downloads": -1, "filename": "vstat-0.3.tar.gz", "has_sig": false, "md5_digest": "87d824df2dc4597242507c760317b55e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1775, "upload_time": "2015-01-01T13:19:44", "url": "https://files.pythonhosted.org/packages/2f/06/dfb14771f7bbc80e80129be59c7165826d53b9d6eae3e92f48f3ee52ed1b/vstat-0.3.tar.gz" } ] }