{"id":17224280,"url":"https://github.com/ekstroem/fv2019","last_synced_at":"2025-07-28T14:31:48.083Z","repository":{"id":90094039,"uuid":"187617852","full_name":"ekstroem/FV2019","owner":"ekstroem","description":"Danish general election prediction competition","archived":false,"fork":false,"pushed_at":"2019-06-06T08:34:36.000Z","size":353,"stargazers_count":3,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-10-15T04:11:59.992Z","etag":null,"topics":["danish","election","prediction","r"],"latest_commit_sha":null,"homepage":null,"language":"HTML","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/ekstroem.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":"2019-05-20T10:18:10.000Z","updated_at":"2019-06-06T11:11:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"530ce3f4-d2c1-4620-bfe7-84b56b081097","html_url":"https://github.com/ekstroem/FV2019","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ekstroem%2FFV2019","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ekstroem%2FFV2019/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ekstroem%2FFV2019/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ekstroem%2FFV2019/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ekstroem","download_url":"https://codeload.github.com/ekstroem/FV2019/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":227923053,"owners_count":17840940,"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":["danish","election","prediction","r"],"created_at":"2024-10-15T04:10:41.591Z","updated_at":"2024-12-03T13:07:52.828Z","avatar_url":"https://github.com/ekstroem.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FV2019\nDanish general election prediction competition\n\nThis is for submitting entries for predictoin the distribution of legal votes in the upcoming Danish election. The rules of the competition is as follows:\n\n*   The competition is about predicting the votes given to each of the parties eligible for the Danish parliament.\n*   The deadline for submitting entries is **May 31st 2019 at midnight (CET)**.\n*   A submission consists of a pull request to this repository with an R data object saved with `save()`. Name the `R` object and the file the same, and don't use a name that is already in use. \n*   Each person should only submit one entry\n*   A prediction consists of a data frame with two columns: `party` and `percent`. The `percent` column will subsequently be scaled such that it sums to 100.\n\n    A blueprint for an `R` object to submit is\n    \n    ```\n    mypred \u003c- data.frame(party=c(\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"I\", \"K\", \"O\", \"P\", \"V\", \"OE\", \"AA\"),\n                         percent=rep(1/13, 13))\n    ```\n\n*    Each prediction is score by the Brier score: the mean squared prediction error when comparing to the actual distribution of votes after the election. Smallest score wins.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fekstroem%2Ffv2019","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fekstroem%2Ffv2019","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fekstroem%2Ffv2019/lists"}