{"id":16731875,"url":"https://github.com/gdkrmr/coranking","last_synced_at":"2025-04-10T11:24:15.501Z","repository":{"id":47123206,"uuid":"69355803","full_name":"gdkrmr/coRanking","owner":"gdkrmr","description":"Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions","archived":false,"fork":false,"pushed_at":"2024-10-08T12:59:27.000Z","size":87785,"stargazers_count":9,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-24T10:11:47.494Z","etag":null,"topics":["dimensionality-reduction","manifold-learning","quality","r","statistics","unsupervised-learning"],"latest_commit_sha":null,"homepage":"https://CRAN.R-project.org/package=coRanking","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gdkrmr.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":"2016-09-27T12:48:01.000Z","updated_at":"2025-01-18T15:54:58.000Z","dependencies_parsed_at":"2025-02-17T04:31:25.168Z","dependency_job_id":"e05051d0-e5ab-4646-9fe0-cccd2a147a05","html_url":"https://github.com/gdkrmr/coRanking","commit_stats":null,"previous_names":[],"tags_count":8,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gdkrmr%2FcoRanking","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gdkrmr%2FcoRanking/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gdkrmr%2FcoRanking/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gdkrmr%2FcoRanking/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gdkrmr","download_url":"https://codeload.github.com/gdkrmr/coRanking/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248208612,"owners_count":21065203,"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":["dimensionality-reduction","manifold-learning","quality","r","statistics","unsupervised-learning"],"created_at":"2024-10-12T23:39:15.443Z","updated_at":"2025-04-10T11:24:15.484Z","avatar_url":"https://github.com/gdkrmr.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# coRanking\n\n[![docs](https://img.shields.io/badge/docs-dev-blue.svg)](https://coranking.guido-kraemer.com)\n[![R](https://github.com/gdkrmr/coRanking/actions/workflows/r.yml/badge.svg)](https://github.com/gdkrmr/coRanking/actions/workflows/r.yml)\n[![codecov](https://codecov.io/gh/gdkrmr/coRanking/branch/master/graph/badge.svg?token=vEkHGuhNHQ)](https://app.codecov.io/gh/gdkrmr/coRanking)\n[![CRAN\\_Status\\_Badge](https://www.r-pkg.org/badges/version/coRanking)](https://cran.r-project.org/package=coRanking)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3365908.svg)](https://doi.org/10.5281/zenodo.3365908)\n\n\nThe Co-Ranking Matrix\n\nAn implementation of the Co-Ranking matrix and derived methods to\nassess the quality of dimensionality reductions\n\n## Installing\n\nInstall the development version:\n```R\n## install.packages(\"devtools\")\ndevtools::install_github(\"gdkrmr/coRanking\")\n```\n\nInstall from CRAN:\n```R\ninstall.packages(\"coRanking\")\n```\n\nUse it:\n```R\nlibrary(coRanking)\n```\n\n## Citing\nThe corresponding publication can be found\n[here](https://journal.r-project.org/archive/2018/RJ-2018-039/index.html \"dimRed\nand coRanking - Unifying Dimensionality Reduction in R\"), please cite if you use\nit:\n\n```bibtex\n@article{RJ-2018-039,\n  author = {Guido Kraemer and Markus Reichstein and Miguel D. Mahecha},\n  title = {{dimRed and coRanking---Unifying Dimensionality Reduction in R}},\n  year = {2018},\n  journal = {{The R Journal}},\n  url = {https://journal.r-project.org/archive/2018/RJ-2018-039/index.html},\n  pages = {342--358},\n  volume = {10},\n  number = {1}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgdkrmr%2Fcoranking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgdkrmr%2Fcoranking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgdkrmr%2Fcoranking/lists"}