{"id":23774681,"url":"https://github.com/victoorv/criminalite_us","last_synced_at":"2026-04-04T07:30:20.419Z","repository":{"id":259225676,"uuid":"877343448","full_name":"VictoorV/Criminalite_US","owner":"VictoorV","description":"Une analyse de la criminalité en fonction de variables socio-économiques a été menée, incluant la sélection et la comparaison de modèles de régression multiple ainsi que des tests d'hypothèses sur les coefficients et la significativité des modèles.","archived":false,"fork":false,"pushed_at":"2024-10-23T14:45:33.000Z","size":212,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-01T06:16:22.782Z","etag":null,"topics":["data-analysis","data-science","r","regression","regression-analysis","regression-models","statistical-analysis","statistical-tests","statistics"],"latest_commit_sha":null,"homepage":"","language":"R","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/VictoorV.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}},"created_at":"2024-10-23T13:45:40.000Z","updated_at":"2024-12-26T13:37:25.000Z","dependencies_parsed_at":"2024-10-23T17:23:28.948Z","dependency_job_id":"ee81a43b-dd9a-4f28-a213-eedc92940354","html_url":"https://github.com/VictoorV/Criminalite_US","commit_stats":null,"previous_names":["victoorv/criminalite_us"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VictoorV%2FCriminalite_US","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VictoorV%2FCriminalite_US/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VictoorV%2FCriminalite_US/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VictoorV%2FCriminalite_US/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VictoorV","download_url":"https://codeload.github.com/VictoorV/Criminalite_US/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239964511,"owners_count":19725952,"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":["data-analysis","data-science","r","regression","regression-analysis","regression-models","statistical-analysis","statistical-tests","statistics"],"created_at":"2025-01-01T06:16:25.247Z","updated_at":"2026-04-04T07:30:20.318Z","avatar_url":"https://github.com/VictoorV.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Criminalite_US\n\n## Sélection et comparaison de modèles de régression \nPlusieurs modèles de régression linéaire sont évalués pour déterminer leur capacité à expliquer les variations des taux de criminalité. Les critères de comparaison incluent des indicateurs de performance tels que le coefficient de détermination (R²) et le critère d'information d'Akaike (AIC), permettant d'identifier le modèle le plus pertinent.\n\n## Tests d'hypothèses sur les coefficients de régression\nChaque coefficient de régression est testé pour évaluer sa signification statistique, notamment en vérifiant si un coefficient est différent de zéro, ce qui permet de déterminer l'importance de chaque variable socio-économique dans le modèle.\n\n## Significativité des modèles\nDes tests globaux sont réalisés pour évaluer la pertinence des modèles dans leur ensemble. Cela inclut des tests F pour comparer les modèles et vérifier s'ils expliquent significativement la variance des données.\n\n## Estimation des paramètres et intervalles de confiance \nLes paramètres des modèles sont estimés à l'aide des moindres carrés et des intervalles de confiance sont construits pour chaque coefficient, permettant de quantifier l'incertitude autour des estimations.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvictoorv%2Fcriminalite_us","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvictoorv%2Fcriminalite_us","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvictoorv%2Fcriminalite_us/lists"}