{"action":"created","issue":{"url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/164","repository_url":"https://api.github.com/repos/glmmTMB/glmmTMB","labels_url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/164/labels{/name}","comments_url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/164/comments","events_url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/164/events","html_url":"https://github.com/glmmTMB/glmmTMB/issues/164","id":162150790,"number":164,"title":"Questions about modeling overdispersion","user":{"login":"psinger","id":1677826,"avatar_url":"https://avatars.githubusercontent.com/u/1677826?v=3","gravatar_id":"","url":"https://api.github.com/users/psinger","html_url":"https://github.com/psinger","followers_url":"https://api.github.com/users/psinger/followers","following_url":"https://api.github.com/users/psinger/following{/other_user}","gists_url":"https://api.github.com/users/psinger/gists{/gist_id}","starred_url":"https://api.github.com/users/psinger/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/psinger/subscriptions","organizations_url":"https://api.github.com/users/psinger/orgs","repos_url":"https://api.github.com/users/psinger/repos","events_url":"https://api.github.com/users/psinger/events{/privacy}","received_events_url":"https://api.github.com/users/psinger/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":24,"created_at":"2016-06-24T13:50:38Z","updated_at":"2016-11-17T17:13:42Z","closed_at":null,"body":"As suggested in the lme4 mailing list, I am trying out glmmTMB for modeling a Poisson model with overdispersion. I am quite unsure of how to actually do that, as far as I know, in glmmADMB this is done automatically. In lme4, I used an additional observation level random effect. \n"},"comment":{"url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/comments/261307986","html_url":"https://github.com/glmmTMB/glmmTMB/issues/164#issuecomment-261307986","issue_url":"https://api.github.com/repos/glmmTMB/glmmTMB/issues/164","id":261307986,"user":{"login":"mebrooks","id":5310845,"avatar_url":"https://avatars.githubusercontent.com/u/5310845?v=3","gravatar_id":"","url":"https://api.github.com/users/mebrooks","html_url":"https://github.com/mebrooks","followers_url":"https://api.github.com/users/mebrooks/followers","following_url":"https://api.github.com/users/mebrooks/following{/other_user}","gists_url":"https://api.github.com/users/mebrooks/gists{/gist_id}","starred_url":"https://api.github.com/users/mebrooks/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mebrooks/subscriptions","organizations_url":"https://api.github.com/users/mebrooks/orgs","repos_url":"https://api.github.com/users/mebrooks/repos","events_url":"https://api.github.com/users/mebrooks/events{/privacy}","received_events_url":"https://api.github.com/users/mebrooks/received_events","type":"User","site_admin":false},"created_at":"2016-11-17T17:13:42Z","updated_at":"2016-11-17T17:13:42Z","body":"I made a new branch that should handle over/underflow problems in the log-link. I didn't add robustness anywhere else in the code, but we could talk about it later\r\n```\r\ndevtools::install_github(\"glmmTMB/glmmTMB/glmmTMB\", ref=\"underflow\")\r\n```\r\nThen run the model with `glmmTMB(..., robust = TRUE)`.\r\n\r\nI tested it on a model with a log-link that does not have underflow problems and it still gives the same answer as before. Can one of you test it on the model that has underflow problems and let me know how it goes?"}}
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