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"
}