{"id":19289930,"url":"https://github.com/galenseilis/conaction","last_synced_at":"2025-04-22T05:32:05.992Z","repository":{"id":57939801,"uuid":"447707083","full_name":"galenseilis/ConAction","owner":"galenseilis","description":"A package for studying how things change together.","archived":false,"fork":false,"pushed_at":"2023-12-18T07:14:59.000Z","size":102498,"stargazers_count":2,"open_issues_count":18,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-15T16:34:43.922Z","etag":null,"topics":["correlation","correlation-analysis","correlation-coefficient","entropy-measures","estimation","information-theory","math","mathematical-functions","mathematics","multilinear-maps","python","python3","statistics","statistics-library","statistics-toolbox","thesis-project","transformation"],"latest_commit_sha":null,"homepage":"https://conaction.readthedocs.io/en/latest/index.html","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/galenseilis.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-01-13T18:21:37.000Z","updated_at":"2023-07-07T15:16:24.000Z","dependencies_parsed_at":"2023-12-18T08:28:47.301Z","dependency_job_id":"bea7196f-073d-48e6-9c7d-1eb244f4c19d","html_url":"https://github.com/galenseilis/ConAction","commit_stats":{"total_commits":94,"total_committers":2,"mean_commits":47.0,"dds":"0.18085106382978722","last_synced_commit":"52b982ec4594a3cf8c9af917b0491d5eb0c07bac"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/galenseilis%2FConAction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/galenseilis%2FConAction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/galenseilis%2FConAction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/galenseilis%2FConAction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/galenseilis","download_url":"https://codeload.github.com/galenseilis/ConAction/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250175077,"owners_count":21387133,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["correlation","correlation-analysis","correlation-coefficient","entropy-measures","estimation","information-theory","math","mathematical-functions","mathematics","multilinear-maps","python","python3","statistics","statistics-library","statistics-toolbox","thesis-project","transformation"],"created_at":"2024-11-09T22:17:26.484Z","updated_at":"2025-04-22T05:32:05.610Z","avatar_url":"https://github.com/galenseilis.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ConAction\n\n\u003cp align=\"center\"\u003e\n\t\u003cimg src=\"imgs/trinity_of_covariation.png\" alt='Instantiations of the Trinity of Covariation' width=\"300\"/\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\t\u003ca href=\"https://github.com/ellerbrock/open-source-badges/\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"Open Source Love\" src=\"https://badges.frapsoft.com/os/v1/open-source.png?v=103\"\u003e\n\t\u003c/a\u003e\n\t\u003ca href=\"https://conaction.readthedocs.io/en/latest/?badge=latest\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"Documentation Status\" src=\"https://readthedocs.org/projects/conaction/badge/?version=latest\"\u003e\n\t\u003c/a\u003e\n\t\u003ca href=\"https://badge.fury.io/py/conaction\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"PyPI version\" src=\"https://badge.fury.io/py/conaction.svg\"\u003e\n\t\u003c/a\u003e\n\t\u003ca href=\"https://img.shields.io/pypi/dm/conaction\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"PyPI - Downloads\" src=\"https://img.shields.io/pypi/dm/conaction\"\u003e\n\t\u003c/a\u003e\n\t\u003ca href=\"https://github.com/galenseilis/ConAction/blob/main/LICENSE\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"License\" src=\"https://img.shields.io/badge/License-BSD_3--Clause-blue.svg\"\u003e\n\t\u003c/a\u003e\n\t\u003ca href=\"https://github.com/psf/black\" target=\"_blank\"\u003e\n\t\t\u003cimg alt=\"Code style: Black\" src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"\u003e\n\t\u003c/a\u003e\n\u003c/p\u003e\n\n\n## Project Description\nThe ConAction library provides mathematical functions that are inspired from the metaphor of the Trinity of Covariation as part of the MSc thesis of Galen Seilis.\n\nSupervisory Committee Members\n\n- Supervisor: [Dr. Edward Dobrowolski](https://www2.unbc.ca/people/dobrowolski-dr-edward) ([Department of Mathematics and Statistics, UNBC](https://www2.unbc.ca/math-statistics))\n- Committee Member: [Dr. Brent Murray](https://web.unbc.ca/~murrayb/) ([Department of Biology, UNBC](https://www2.unbc.ca/biology))\n- Committee Member: [Dr. Mohammad El Smaily](https://smaily.opened.ca/) ([Department of Mathematics and Statistics, UNBC](https://www2.unbc.ca/math-statistics))\n- External Examiner: [Dr. Anne Condon](https://www.cs.ubc.ca/~condon/) ([Department of Computer Science](https://www.cs.ubc.ca/about))\n\nThe code in this repository is intended to support researchers analyzing multivariate data.\n\nThe thesis provides an extensive background reading for this package, and can be found at (link needed).\n\n## Installation\nConAction is available through [PyPi](https://pypi.org/project/conaction/), and can be installed via `pip` using\n```\npip install conaction\n```\nor \n```\npip3 install conaction\n```\n\n## Example Usage\n\n```python\nfrom conaction import estimators\nimport numpy as np\n\nX = np.random.normal(size=1000).reshape((100,10)) # Get a 100 x 10 data table\n\nestimators.pearson_correlation(X) # Compute the 10-linear Pearson correlation coefficient\n```\n\n## Documentation\n\n\nBuild documentation locally:\n\n```bash\ncd /path/to/conaction/docs\nmake html\n```\n\n## Citation\n\n```\n\n@mastersthesis{seilisthesis2022,\n  author  = \"Galen Seilis\",\n  title   = \"ConAction: Efficient Implementations and Applications of Functions Inspired by the Trinity of Covariation\",\n  school  = \"University of Northern British Columbia\",\n  year    = \"2022\",\n  address = \"3333 University Way, Prince George, British Columbia, V2N 4Z9, Canada\",\n  month   = \"September\",\n  doi = 10.24124/2022/59312,\n  url = https://doi.org/10.24124/2022/59312\n}\n```\n\n![Star History Chart](https://api.star-history.com/svg?repos=galenseilis/ConAction\u0026type=Date)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgalenseilis%2Fconaction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgalenseilis%2Fconaction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgalenseilis%2Fconaction/lists"}