{"action":"created","issue":{"url":"https://api.github.com/repos/statsmodels/statsmodels/issues/2804","repository_url":"https://api.github.com/repos/statsmodels/statsmodels","labels_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/2804/labels{/name}","comments_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/2804/comments","events_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/2804/events","html_url":"https://github.com/statsmodels/statsmodels/issues/2804","id":132057472,"number":2804,"title":"GLM feature wishlist","user":{"login":"thequackdaddy","id":8186432,"avatar_url":"https://avatars.githubusercontent.com/u/8186432?v=3","gravatar_id":"","url":"https://api.github.com/users/thequackdaddy","html_url":"https://github.com/thequackdaddy","followers_url":"https://api.github.com/users/thequackdaddy/followers","following_url":"https://api.github.com/users/thequackdaddy/following{/other_user}","gists_url":"https://api.github.com/users/thequackdaddy/gists{/gist_id}","starred_url":"https://api.github.com/users/thequackdaddy/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/thequackdaddy/subscriptions","organizations_url":"https://api.github.com/users/thequackdaddy/orgs","repos_url":"https://api.github.com/users/thequackdaddy/repos","events_url":"https://api.github.com/users/thequackdaddy/events{/privacy}","received_events_url":"https://api.github.com/users/thequackdaddy/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2016-02-08T05:46:15Z","updated_at":"2016-02-08T14:38:17Z","closed_at":null,"body":"Hello, \r\n\r\nSo long story short, I'm an actuary looking to do some GLM modeling in python. I have some experience with R, but am open to new things. I've been watching this project for a bit but have been too lazy/impatient to get some features implemented. \r\n\r\nSo here's a list of features in the GLM that I'm considering putting some PR's together for. I appreciate any advice you can give about statsmodels philosophy before I write too much and its all rejected. I don't want to waste your time with my PR's, so the more advice the better. \r\n\r\n1. QuasiPoisson. This is a TODO in the GLM family module. I don't think its that hard. My experimenting seems to show that literally copying Poisson is most of the work.\r\n2.  The Pearson residual for Poisson/QuasiBinomial\r\n3.  User-specified weights\r\n4.  Tweedie\r\n\r\nI'd appreciate your input before I start this. Note, I'm an actuary, not a programmer, so I'd need some handholding on some things.\r\n\r\nThanks."},"comment":{"url":"https://api.github.com/repos/statsmodels/statsmodels/issues/comments/181399605","html_url":"https://github.com/statsmodels/statsmodels/issues/2804#issuecomment-181399605","issue_url":"https://api.github.com/repos/statsmodels/statsmodels/issues/2804","id":181399605,"user":{"login":"josef-pkt","id":440735,"avatar_url":"https://avatars.githubusercontent.com/u/440735?v=3","gravatar_id":"","url":"https://api.github.com/users/josef-pkt","html_url":"https://github.com/josef-pkt","followers_url":"https://api.github.com/users/josef-pkt/followers","following_url":"https://api.github.com/users/josef-pkt/following{/other_user}","gists_url":"https://api.github.com/users/josef-pkt/gists{/gist_id}","starred_url":"https://api.github.com/users/josef-pkt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/josef-pkt/subscriptions","organizations_url":"https://api.github.com/users/josef-pkt/orgs","repos_url":"https://api.github.com/users/josef-pkt/repos","events_url":"https://api.github.com/users/josef-pkt/events{/privacy}","received_events_url":"https://api.github.com/users/josef-pkt/received_events","type":"User","site_admin":false},"created_at":"2016-02-08T14:38:17Z","updated_at":"2016-02-08T14:38:17Z","body":"as reference: similar issue #2753\r\nthat was my interpretation (as not an R user) of what is missing in GLM."}}