{"id":32199963,"url":"https://github.com/antonio-calcagni/ssmousetrack","last_synced_at":"2026-06-06T05:32:09.098Z","repository":{"id":46810677,"uuid":"165551215","full_name":"antonio-calcagni/ssMousetrack","owner":"antonio-calcagni","description":"Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan ","archived":false,"fork":false,"pushed_at":"2025-03-16T15:43:57.000Z","size":99,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-05T21:42:49.364Z","etag":null,"topics":["bayesian-data-analysis","mouse-tracking","state-space-model"],"latest_commit_sha":null,"homepage":"","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/antonio-calcagni.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS","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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-01-13T20:31:21.000Z","updated_at":"2025-03-16T15:44:01.000Z","dependencies_parsed_at":"2025-03-17T04:15:25.231Z","dependency_job_id":null,"html_url":"https://github.com/antonio-calcagni/ssMousetrack","commit_stats":null,"previous_names":["antonio-calcagni/ssmousetrack"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/antonio-calcagni/ssMousetrack","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/antonio-calcagni%2FssMousetrack","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/antonio-calcagni%2FssMousetrack/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/antonio-calcagni%2FssMousetrack/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/antonio-calcagni%2FssMousetrack/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/antonio-calcagni","download_url":"https://codeload.github.com/antonio-calcagni/ssMousetrack/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/antonio-calcagni%2FssMousetrack/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":280375573,"owners_count":26320267,"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","status":"online","status_checked_at":"2025-10-22T02:00:06.515Z","response_time":63,"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":["bayesian-data-analysis","mouse-tracking","state-space-model"],"created_at":"2025-10-22T03:34:09.354Z","updated_at":"2025-10-22T03:34:11.860Z","avatar_url":"https://github.com/antonio-calcagni.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![DOI](https://zenodo.org/badge/165551215.svg)](https://zenodo.org/badge/latestdoi/165551215)\n\n\n# ssMousetrack\nBayesian State-Space Modeling of Mouse-Tracking Experiments via Stan\n\nEstimates previously compiled state-space modeling for mouse-tracking experiments using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.\n\nCurrent version of the package: 1.1.6 | URL: https://cran.r-project.org/web/packages/ssMousetrack/\n\nCalcagnì, A.; Pastore, M.; Altoé, G. ssMousetrack—Analysing Computerized Tracking Data via Bayesian State-Space Models in R. Math. Comput. Appl. 2020, 25, 41 (https://www.mdpi.com/2297-8747/25/3/41)\n\nPreprint is also available at: \nhttps://arxiv.org/pdf/1904.10172.pdf\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fantonio-calcagni%2Fssmousetrack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fantonio-calcagni%2Fssmousetrack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fantonio-calcagni%2Fssmousetrack/lists"}