{"id":45815342,"url":"https://github.com/jrjthompson/anisotropicsmoothing","last_synced_at":"2026-02-26T18:51:31.723Z","repository":{"id":226533286,"uuid":"767179608","full_name":"jrjthompson/anisotropicSmoothing","owner":"jrjthompson","description":"Anisotropic smoothing for change-point regression data","archived":false,"fork":false,"pushed_at":"2024-08-02T00:40:43.000Z","size":3098,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-04T21:06:56.596Z","etag":null,"topics":["anisotropic","anisotropic-diffusion","change-point","fire-spread","image-analysis","image-processing","kernel-regression","kernels","nonparametric","nonparametric-regression","regression","smoothing"],"latest_commit_sha":null,"homepage":"","language":"Roff","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/jrjthompson.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-03-04T20:56:48.000Z","updated_at":"2024-08-02T00:40:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"119c2c8b-9f16-44fb-9bfb-2c9225c0c273","html_url":"https://github.com/jrjthompson/anisotropicSmoothing","commit_stats":null,"previous_names":["jrjthompson/anisotropicsmoothing"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/jrjthompson/anisotropicSmoothing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jrjthompson%2FanisotropicSmoothing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jrjthompson%2FanisotropicSmoothing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jrjthompson%2FanisotropicSmoothing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jrjthompson%2FanisotropicSmoothing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jrjthompson","download_url":"https://codeload.github.com/jrjthompson/anisotropicSmoothing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jrjthompson%2FanisotropicSmoothing/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29867850,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-26T18:42:30.764Z","status":"ssl_error","status_checked_at":"2026-02-26T18:41:47.936Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["anisotropic","anisotropic-diffusion","change-point","fire-spread","image-analysis","image-processing","kernel-regression","kernels","nonparametric","nonparametric-regression","regression","smoothing"],"created_at":"2026-02-26T18:51:30.945Z","updated_at":"2026-02-26T18:51:31.690Z","avatar_url":"https://github.com/jrjthompson.png","language":"Roff","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Anisotropic Smoothing\nThis repo is code and methods for a general class of smoothing estimators for change-point regression functions. Articles associated with this work are:\n   - Thompson, J.R.J. (2024) [Iterative Smoothing for Change-point Regression Function Estimation](https://www.tandfonline.com/doi/full/10.1080/02664763.2024.2352759), *Journal of Applied Statistics*, 1–25.\n\nFor ease of usage, the methods for this paper have been coerced into the \u003ctt\u003eR\u003c/tt\u003e package [nonsmooth](https://cran.rstudio.com/web/packages/nonsmooth/) through the function \u003ctt\u003ealc()\u003c/tt\u003e. \n\n## Experimental fire spread data\nThe experimental fire data used in the article is associated with the following papers:\n - Thompson, J.R.J., Wang, X.J., \u0026 Braun, W.J. (2020) [A mouse model for studying fire spread rates using experimental micro-fires](http://www.jenvstat.org/v09/i06). *Journal of Environmental Statistics*, 9(1), 1-19.\n - Wang, X.J., Thompson, J.R.J., Braun, W.J., \u0026 Woolford, D.G. (2019) [Fitting a stochastic fire spread model to data.](https://ascmo.copernicus.org/articles/5/57/2019/) *Advances in Statistical Climatology, Meteorology and Oceanography*, 5(1), 57-66.\n\nThe micro-fire imagery data is available through a Github \u003ctt\u003eR\u003c/tt\u003e package [firedata](https://github.com/jrjthompson/R-package-firedata). For any questions about data access or otherwise, please contact me at john.thompson@ubc.ca.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjrjthompson%2Fanisotropicsmoothing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjrjthompson%2Fanisotropicsmoothing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjrjthompson%2Fanisotropicsmoothing/lists"}