{ "info": { "author": "Xuerui Yang", "author_email": "xuerui-yang@outlook.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# jmcm\n\n## Description\njmcm is an open-source Python package for fitting the joint mean-covariance models for longitudinal data. \n\nIt provides:\n* function to estimate parameters for the mean, innovation variance, and generalised auto-regressive coefficient\n* function to do the Wald hypothesis tests to check the significance of the parameters\n* model selection procedures\n* bootstrap method to plot the curves for the mean, innovation variance, and generalised auto-regressive coefficient\n\n## Source code\nhttps://github.com/Xuerui-Yang/jmcm\n\n## Installation\n```\npip install jmcm\n```\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/Xuerui-Yang/jmcm", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "jmcm", "package_url": "https://pypi.org/project/jmcm/", "platform": "", "project_url": "https://pypi.org/project/jmcm/", "project_urls": { "Homepage": "https://github.com/Xuerui-Yang/jmcm" }, "release_url": "https://pypi.org/project/jmcm/0.1.2/", "requires_dist": null, "requires_python": ">=3.7", "summary": "A statistical package for fit the joint mean-covariance models", "version": "0.1.2" }, "last_serial": 5872104, "releases": { "0.1.2": [ { "comment_text": "", "digests": { "md5": "66ce1666a418b5c1a23453066f79cf00", "sha256": "6b068682bb9da7cd5262cb98912ab6454c33036fa9e26ebcea8086a58559b4c6" }, "downloads": -1, "filename": "jmcm-0.1.2-py3-none-any.whl", "has_sig": false, "md5_digest": "66ce1666a418b5c1a23453066f79cf00", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7", "size": 13320, "upload_time": "2019-09-23T08:05:07", "url": "https://files.pythonhosted.org/packages/fd/dd/fbfe3c3c8937f790cf07f1d9b6d1fad3c332476bd3f68d6118232b5ab53a/jmcm-0.1.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a02504512354cea98edcef795d91d851", "sha256": "db06aee52604e477f7d85140b539934916b1a69fd047173c7e5e366ccebd4d7c" }, "downloads": -1, "filename": "jmcm-0.1.2.tar.gz", "has_sig": false, "md5_digest": "a02504512354cea98edcef795d91d851", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7", "size": 10201, "upload_time": "2019-09-23T08:05:11", "url": "https://files.pythonhosted.org/packages/21/3a/8ae8bb74175ecc7fdd1efa7f35412335044e1da7b3764706ee1c2dda631a/jmcm-0.1.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "66ce1666a418b5c1a23453066f79cf00", "sha256": "6b068682bb9da7cd5262cb98912ab6454c33036fa9e26ebcea8086a58559b4c6" }, "downloads": -1, "filename": "jmcm-0.1.2-py3-none-any.whl", "has_sig": false, "md5_digest": "66ce1666a418b5c1a23453066f79cf00", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7", "size": 13320, "upload_time": "2019-09-23T08:05:07", "url": "https://files.pythonhosted.org/packages/fd/dd/fbfe3c3c8937f790cf07f1d9b6d1fad3c332476bd3f68d6118232b5ab53a/jmcm-0.1.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a02504512354cea98edcef795d91d851", "sha256": "db06aee52604e477f7d85140b539934916b1a69fd047173c7e5e366ccebd4d7c" }, "downloads": -1, "filename": "jmcm-0.1.2.tar.gz", "has_sig": false, "md5_digest": "a02504512354cea98edcef795d91d851", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7", "size": 10201, "upload_time": "2019-09-23T08:05:11", "url": "https://files.pythonhosted.org/packages/21/3a/8ae8bb74175ecc7fdd1efa7f35412335044e1da7b3764706ee1c2dda631a/jmcm-0.1.2.tar.gz" } ] }