{"id":51512909,"url":"https://github.com/computorg/published-202511-alquier-regmmd","last_synced_at":"2026-07-08T08:02:26.441Z","repository":{"id":289215321,"uuid":"970452264","full_name":"computorg/published-202511-alquier-regmmd","owner":"computorg","description":"Repo for the regMMD paper submitted to Computo","archived":false,"fork":false,"pushed_at":"2025-11-18T14:18:28.000Z","size":215,"stargazers_count":0,"open_issues_count":2,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-18T16:37:58.446Z","etag":null,"topics":["estimation","mmd","regression"],"latest_commit_sha":null,"homepage":"https://computo-journal.org/published-202511-alquier-regmmd/","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/computorg.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-04-22T03:28:24.000Z","updated_at":"2025-11-18T14:17:22.000Z","dependencies_parsed_at":"2025-04-22T07:10:18.641Z","dependency_job_id":"9530336b-dd5e-448a-b138-1d9ee636cbd5","html_url":"https://github.com/computorg/published-202511-alquier-regmmd","commit_stats":null,"previous_names":["pierrealquier/regmmd-paper","computorg/published-202511-alquier-regmmd"],"tags_count":1,"template":false,"template_full_name":"computorg/template-computo-R","purl":"pkg:github/computorg/published-202511-alquier-regmmd","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/computorg%2Fpublished-202511-alquier-regmmd","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/computorg%2Fpublished-202511-alquier-regmmd/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/computorg%2Fpublished-202511-alquier-regmmd/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/computorg%2Fpublished-202511-alquier-regmmd/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/computorg","download_url":"https://codeload.github.com/computorg/published-202511-alquier-regmmd/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/computorg%2Fpublished-202511-alquier-regmmd/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35257142,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-08T02:00:06.796Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["estimation","mmd","regression"],"created_at":"2026-07-08T08:02:25.807Z","updated_at":"2026-07-08T08:02:26.432Z","avatar_url":"https://github.com/computorg.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# `regMMD`: an `R` package for parametric estimation and regression with maximum mean discrepancy\nPierre Alquier, Mathieu Gerber\n2025-11-18\n\n### Citation\n\nPierre Alquier and Mathieu Gerber (November 2025). regMMD: an R package for parametric estimation and regression with maximum mean discrepancy. Computo.\n\u003chttps://doi.org/10.57750/d6d1-gb09\u003e\n\n### Badges\n\n[![build and\npublish](https://github.com/computorg/published-202511-alquier-regmmd/actions/workflows/build.yml/badge.svg)](https://github.com/computorg/published-202511-alquier-regmmd/actions/workflows/build.yml)\n[![reviews](https://img.shields.io/badge/review-report-blue)](https://github.com/computorg/published-202511-alquier-regmmd/issues?q=is%3Aopen+is%3Aissue+label%3Areview)\n[![SWH](https://archive.softwareheritage.org/badge/origin/https://github.com/computorg/published-202511-alquier-regmmd)](https://archive.softwareheritage.org/browse/origin/?origin_url=https://github.com/computorg/published-202511-alquier-regmmd)\n[![DOI:10.57750/d6d1-gb09](https://img.shields.io/badge/DOI-10.57750%2Fd6d1--gb09-034E79.svg)](https://doi.org/10.57750/d6d1-gb09)\n[![Creative Commons\nLicense](https://i.creativecommons.org/l/by/4.0/80x15.png)](http://creativecommons.org/licenses/by/4.0/)\n\n### Authors’ affiliations\n\n- [Pierre Alquier](https://pierrealquier.github.io/) (ESSEC Business School)\n- [Mathieu Gerber](https://research-information.bris.ac.uk/en/persons/mathieu-gerber) (University of Bristol)\n\n### Abstract\n\nThe Maximum Mean Discrepancy (MMD) is a kernel-based metric widely used\nfor nonparametric tests and estimation. Recently, it has also been\nstudied as an objective function for parametric estimation, as it has\nbeen shown to yield robust estimators. We have implemented MMD\nminimization for parameter inference in a wide range of statistical\nmodels, including various regression models, within an `R` package\ncalled `regMMD`. This paper provides an introduction to the `regMMD`\npackage. We describe the available kernels and optimization procedures,\nas well as the default settings. Detailed applications to simulated and\nreal data are provided.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputorg%2Fpublished-202511-alquier-regmmd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcomputorg%2Fpublished-202511-alquier-regmmd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputorg%2Fpublished-202511-alquier-regmmd/lists"}