{ "info": { "author": "Tamaghna Roy", "author_email": "tamaghna@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "Implements several schemes to generate random correlation matrices, including checks to validate a given matrix to be a proper correlation matrix. Algorithms for generating simple random matrix, random matrix with given eigenvalues, random perturbation of a given correlation matrix and the nearest correlation matrix to a given correlation matrix for fine tuned stress and noise are included in the current version. **Please check the project homepage for more details and usage examples**", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/tamaghnaroy/RandomCorrMat/", "keywords": "applied-mathematics correlation-matrices simulation correlation-matrix-simulation", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "RandomCorrMat", "package_url": "https://pypi.org/project/RandomCorrMat/", "platform": "", "project_url": "https://pypi.org/project/RandomCorrMat/", "project_urls": { "Homepage": "https://github.com/tamaghnaroy/RandomCorrMat/" }, "release_url": "https://pypi.org/project/RandomCorrMat/0.1.20/", "requires_dist": null, "requires_python": "", "summary": "Algorithms to simulate random correlation matrices", "version": "0.1.20" }, "last_serial": 3380092, "releases": { "0.1.20": [ { "comment_text": "", "digests": { "md5": "31836a1172f20ee587e1e6676a3d46b6", "sha256": "5da7ad51c891256609fdb84511bb8ee3ac95025372c110ad3cee05c3adf427fb" }, "downloads": -1, "filename": "RandomCorrMat-0.1.20.tar.gz", "has_sig": false, "md5_digest": "31836a1172f20ee587e1e6676a3d46b6", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6023, "upload_time": "2017-12-01T12:57:37", "url": "https://files.pythonhosted.org/packages/12/e0/9149168e6392a696c24dc96ba8d72216d3619be2548b5a5d4ed2f466edea/RandomCorrMat-0.1.20.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "31836a1172f20ee587e1e6676a3d46b6", "sha256": "5da7ad51c891256609fdb84511bb8ee3ac95025372c110ad3cee05c3adf427fb" }, "downloads": -1, "filename": "RandomCorrMat-0.1.20.tar.gz", "has_sig": false, "md5_digest": "31836a1172f20ee587e1e6676a3d46b6", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6023, "upload_time": "2017-12-01T12:57:37", "url": "https://files.pythonhosted.org/packages/12/e0/9149168e6392a696c24dc96ba8d72216d3619be2548b5a5d4ed2f466edea/RandomCorrMat-0.1.20.tar.gz" } ] }