pymer4


Namepymer4 JSON
Version 0.8.2 PyPI version JSON
download
home_pagehttp://eshinjolly.com/pymer4/
Summarypymer4: all the convenience of lme4 in python
upload_time2024-04-07 02:24:15
maintainerNone
docs_urlNone
authorEshin Jolly
requires_pythonNone
licenseMIT
keywords statistics multi-level-modeling regression analysis
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            pymer4 is a Python package to make it simple to perform multi-level modeling by interfacing with the popular R package lme4. pymer4 is also capable of fitting a variety of standard regression models with robust, bootstrapped, and permuted estimators

            

Raw data

            {
    "_id": null,
    "home_page": "http://eshinjolly.com/pymer4/",
    "name": "pymer4",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "statistics, multi-level-modeling, regression, analysis",
    "author": "Eshin Jolly",
    "author_email": "eshin.jolly.GR@dartmouth.edu",
    "download_url": "https://files.pythonhosted.org/packages/d2/98/7c7e844cd57b0a2c641b323f4842b14159997158d069f500ce119ccec6f4/pymer4-0.8.2.tar.gz",
    "platform": null,
    "description": "pymer4 is a Python package to make it simple to perform multi-level modeling by interfacing with the popular R package lme4. pymer4 is also capable of fitting a variety of standard regression models with robust, bootstrapped, and permuted estimators\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "pymer4: all the convenience of lme4 in python",
    "version": "0.8.2",
    "project_urls": {
        "Homepage": "http://eshinjolly.com/pymer4/"
    },
    "split_keywords": [
        "statistics",
        " multi-level-modeling",
        " regression",
        " analysis"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "366065d2bfdabe9534bc28fa78b310d0a71b6c5a2a4cdc487727fbd7cfed34b1",
                "md5": "77ad29b249bea411c4587f5646ae7523",
                "sha256": "1cda5134a6fdb3fe7c199543078fda818caf598f4a257d8fdcc6821a4f74a52b"
            },
            "downloads": -1,
            "filename": "pymer4-0.8.2-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "77ad29b249bea411c4587f5646ae7523",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 136899,
            "upload_time": "2024-04-07T02:24:13",
            "upload_time_iso_8601": "2024-04-07T02:24:13.999215Z",
            "url": "https://files.pythonhosted.org/packages/36/60/65d2bfdabe9534bc28fa78b310d0a71b6c5a2a4cdc487727fbd7cfed34b1/pymer4-0.8.2-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d2987c7e844cd57b0a2c641b323f4842b14159997158d069f500ce119ccec6f4",
                "md5": "b8fab62426eb989b42a9b8a7402e72d9",
                "sha256": "58b2af7a6fb69cad9c579920dd79ae7774f6d30857c07a7e8747275b0eaf257e"
            },
            "downloads": -1,
            "filename": "pymer4-0.8.2.tar.gz",
            "has_sig": false,
            "md5_digest": "b8fab62426eb989b42a9b8a7402e72d9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 133309,
            "upload_time": "2024-04-07T02:24:15",
            "upload_time_iso_8601": "2024-04-07T02:24:15.972860Z",
            "url": "https://files.pythonhosted.org/packages/d2/98/7c7e844cd57b0a2c641b323f4842b14159997158d069f500ce119ccec6f4/pymer4-0.8.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-07 02:24:15",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pymer4"
}
        
Elapsed time: 0.25230s