{"id":30367842,"url":"https://github.com/inseefrlab/dt-est-tr-tc","last_synced_at":"2025-08-20T00:43:50.179Z","repository":{"id":219331242,"uuid":"748589773","full_name":"InseeFrLab/DT-est-tr-tc","owner":"InseeFrLab","description":"DT Estimation en temps réel de la tendance-cycle : apport de l’utilisation des moyennes mobiles asymétriques","archived":false,"fork":false,"pushed_at":"2024-01-26T18:36:34.000Z","size":16592,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-03T00:29:47.301Z","etag":null,"topics":["dt"],"latest_commit_sha":null,"homepage":"https://inseefrlab.github.io/DT-est-tr-tc/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/InseeFrLab.png","metadata":{"files":{"readme":"README.Rmd","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}},"created_at":"2024-01-26T10:19:03.000Z","updated_at":"2024-08-24T13:18:38.000Z","dependencies_parsed_at":"2024-01-26T19:48:43.701Z","dependency_job_id":null,"html_url":"https://github.com/InseeFrLab/DT-est-tr-tc","commit_stats":null,"previous_names":["inseefrlab/dt-est-tr-tc"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/InseeFrLab/DT-est-tr-tc","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/InseeFrLab%2FDT-est-tr-tc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/InseeFrLab%2FDT-est-tr-tc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/InseeFrLab%2FDT-est-tr-tc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/InseeFrLab%2FDT-est-tr-tc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/InseeFrLab","download_url":"https://codeload.github.com/InseeFrLab/DT-est-tr-tc/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/InseeFrLab%2FDT-est-tr-tc/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271247434,"owners_count":24725907,"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":"2025-08-19T02:00:09.176Z","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":["dt"],"created_at":"2025-08-20T00:43:49.150Z","updated_at":"2025-08-20T00:43:50.146Z","avatar_url":"https://github.com/InseeFrLab.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\"\n)\n```\n\n# DT-est-tr-tc\n\n[![Build](https://github.com/InseeFrLab/DT-est-tr-tc/workflows/Dockerize/badge.svg)](https://hub.docker.com/repository/docker/inseefrlab/dt-est-tr-tc)\n[![Onyxia](https://img.shields.io/badge/Launch-Datalab-orange?logo=R)](https://datalab.sspcloud.fr/launcher/ide/rstudio?autoLaunch=false\u0026service.image.custom.enabled=true\u0026service.image.pullPolicy=%C2%ABAlways%C2%BB\u0026service.image.custom.version=%C2%ABinseefrlab%2Fdt-est-tr-tc%3Alatest%C2%BB\u0026init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2FInseeFrLab%2FDT-est-tr-tc%2Fmaster%2Fsetup_onyxia.sh%C2%BB)\n\nCe dépôt contient tous les programmes du document de travail :\n\n**Quartier-la-Tente A (2024)**, *Estimation en temps réel de la tendance-cycle : apport de l’utilisation des moyennes mobiles asymétriques*, Document de travail Insee, M2024/01.\n\nCelui-ci est accessible via le lien \u003chttps://www.insee.fr/fr/statistiques/7759578\u003e.\nUne version web est également accessible via le lien \u003chttps://inseefrlab.github.io/DT-est-tr-tc/\u003e.\n\nPour citer cet article :\n\n```\n@article{inseeDTM202401,\n  title={Estimation en temps r{\\'e}el de la tendance cycle{ :} apport de l’utilisation de moyennes mobiles asym{\\'e}triques},\n  author={Quartier{-la-}Tente, Alain},\n  journal={Document de travail méthodologique Insee},\n  number={M2024/01},\n  year={2024},\n  url={https://github.com/InseeFrLab/DT-est-tr-tc}\n}\n```\n\n## Installation\n\nTous les programmes sont en R et ils nécessitent d'avoir une version de Java SE supérieure ou égale à 17.\nPour vérifier la version Java utilisée par R, utiliser la commande :\n\n```{r, eval=FALSE}\nlibrary(rJava)\n.jinit()\n.jcall(\"java/lang/System\", \"S\", \"getProperty\", \"java.runtime.version\")\n```\n\nSi vous n'avez pas de version compatible, vous pouvez par exemple installer une version portable à partir des liens suivants :\n\n- [Zulu JDK](https://www.azul.com/downloads/#zulu) ;\n\n- [AdoptOpenJDK](https://adoptopenjdk.net/) ;\n\n- [Amazon Corretto](https://aws.amazon.com/corretto/).\n\nPour installer tous les packages, une fois le projet chargé il suffit de lancer le code `renv::restore()`.\n\nUne [image docker](https://hub.docker.com/repository/docker/inseefrlab/dt-est-tr-tc) a été construite pour assurer la reproductibilité complète de l'environnement utilisé pour ce document de travail. \nElle peut également être directement utilisée  avec [Onyxia](https://github.com/InseeFrLab/onyxia-web), la plateforme *datascience* développée par l'[Insee](https://www.insee.fr/fr/accueil) en cliquant sur [![Onyxia](https://img.shields.io/badge/Launch-Datalab-orange?logo=R)](https://datalab.sspcloud.fr/launcher/ide/rstudio?autoLaunch=false\u0026service.image.custom.enabled=true\u0026service.image.pullPolicy=%C2%ABAlways%C2%BB\u0026service.image.custom.version=%C2%ABinseefrlab%2Fdt-est-tr-tc%3Alatest%C2%BB\u0026init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2FInseeFrLab%2FDT-est-tr-tc%2Fmaster%2Fsetup_onyxia.sh%C2%BB).\n\n\n## Description des programmes\n\nTous les programmes R sont rassemblés dans chaque dossier, chacun contenant un fichier `README` explicatif :\n\n- `R_filters` : programmes pour générer les filtres FST et RKHS utilisés ;\n\n- `R_fredm` : programmes sur les données réelles ;\n\n- `R_simul` : programmes sur les données simulées ;\n\n- `R_local_ic` : programmes sur la paramétrisation locale des filtres polynomiaux ;\n\n- `R_henderson_theorem` :  programmes sur l'analyse d'équivalence entre les filtres FST et la régression polynomiale.\n\nLe programme utilisé pour l'exemple du document de travail est sous `DT/img/Ex_climat_cl4.R`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finseefrlab%2Fdt-est-tr-tc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finseefrlab%2Fdt-est-tr-tc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finseefrlab%2Fdt-est-tr-tc/lists"}