{"action":"created","issue":{"url":"https://api.github.com/repos/stan-dev/math/issues/417","repository_url":"https://api.github.com/repos/stan-dev/math","labels_url":"https://api.github.com/repos/stan-dev/math/issues/417/labels{/name}","comments_url":"https://api.github.com/repos/stan-dev/math/issues/417/comments","events_url":"https://api.github.com/repos/stan-dev/math/issues/417/events","html_url":"https://github.com/stan-dev/math/issues/417","id":184212246,"number":417,"title":"Tweedie Distribution","user":{"login":"willtownes","id":810709,"avatar_url":"https://avatars.githubusercontent.com/u/810709?v=3","gravatar_id":"","url":"https://api.github.com/users/willtownes","html_url":"https://github.com/willtownes","followers_url":"https://api.github.com/users/willtownes/followers","following_url":"https://api.github.com/users/willtownes/following{/other_user}","gists_url":"https://api.github.com/users/willtownes/gists{/gist_id}","starred_url":"https://api.github.com/users/willtownes/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/willtownes/subscriptions","organizations_url":"https://api.github.com/users/willtownes/orgs","repos_url":"https://api.github.com/users/willtownes/repos","events_url":"https://api.github.com/users/willtownes/events{/privacy}","received_events_url":"https://api.github.com/users/willtownes/received_events","type":"User","site_admin":false},"labels":[{"id":233078045,"url":"https://api.github.com/repos/stan-dev/math/labels/Feature","name":"Feature","color":"bfd4f2","default":false}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":{"url":"https://api.github.com/repos/stan-dev/math/milestones/10","html_url":"https://github.com/stan-dev/math/milestones/v2.13.0","labels_url":"https://api.github.com/repos/stan-dev/math/milestones/10/labels","id":1975005,"number":10,"title":"v2.13.0","description":"Next version after v2.12.0.","creator":{"login":"syclik","id":425751,"avatar_url":"https://avatars.githubusercontent.com/u/425751?v=3","gravatar_id":"","url":"https://api.github.com/users/syclik","html_url":"https://github.com/syclik","followers_url":"https://api.github.com/users/syclik/followers","following_url":"https://api.github.com/users/syclik/following{/other_user}","gists_url":"https://api.github.com/users/syclik/gists{/gist_id}","starred_url":"https://api.github.com/users/syclik/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/syclik/subscriptions","organizations_url":"https://api.github.com/users/syclik/orgs","repos_url":"https://api.github.com/users/syclik/repos","events_url":"https://api.github.com/users/syclik/events{/privacy}","received_events_url":"https://api.github.com/users/syclik/received_events","type":"User","site_admin":false},"open_issues":0,"closed_issues":49,"state":"closed","created_at":"2016-08-31T12:59:13Z","updated_at":"2016-11-25T15:40:09Z","due_on":null,"closed_at":"2016-11-25T15:40:09Z"},"comments":7,"created_at":"2016-10-20T12:11:09Z","updated_at":"2016-12-05T14:06:11Z","closed_at":"2016-10-20T14:33:55Z","body":"This distribution is useful for zero inflated data. It would be nice to be able to include it in Stan. There is an existing R package for maximum likelihood estimation:\nhttps://cran.r-project.org/web/packages/tweedie/tweedie.pdf\n"},"comment":{"url":"https://api.github.com/repos/stan-dev/math/issues/comments/264862113","html_url":"https://github.com/stan-dev/math/issues/417#issuecomment-264862113","issue_url":"https://api.github.com/repos/stan-dev/math/issues/417","id":264862113,"user":{"login":"willtownes","id":810709,"avatar_url":"https://avatars.githubusercontent.com/u/810709?v=3","gravatar_id":"","url":"https://api.github.com/users/willtownes","html_url":"https://github.com/willtownes","followers_url":"https://api.github.com/users/willtownes/followers","following_url":"https://api.github.com/users/willtownes/following{/other_user}","gists_url":"https://api.github.com/users/willtownes/gists{/gist_id}","starred_url":"https://api.github.com/users/willtownes/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/willtownes/subscriptions","organizations_url":"https://api.github.com/users/willtownes/orgs","repos_url":"https://api.github.com/users/willtownes/repos","events_url":"https://api.github.com/users/willtownes/events{/privacy}","received_events_url":"https://api.github.com/users/willtownes/received_events","type":"User","site_admin":false},"created_at":"2016-12-05T14:06:11Z","updated_at":"2016-12-05T14:06:11Z","body":"Both approximation methods have been implemented in a FORTRAN library by Peter Dunn as part of his [tweedie R package](https://cran.r-project.org/web/packages/tweedie/index.html). I'm not experienced with integrating fortran into C++ but imagine it is possible? If so, the file is accessible by downloading the package source from CRAN. The file is called **src/tweedie.f** in the tarball."}}
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