{"action":"opened","issue":{"url":"https://api.github.com/repos/pbs-assess/gfsynopsis/issues/36","repository_url":"https://api.github.com/repos/pbs-assess/gfsynopsis","labels_url":"https://api.github.com/repos/pbs-assess/gfsynopsis/issues/36/labels{/name}","comments_url":"https://api.github.com/repos/pbs-assess/gfsynopsis/issues/36/comments","events_url":"https://api.github.com/repos/pbs-assess/gfsynopsis/issues/36/events","html_url":"https://github.com/pbs-assess/gfsynopsis/issues/36","id":366091513,"node_id":"MDU6SXNzdWUzNjYwOTE1MTM=","number":36,"title":"Make a call on whether to use sdmTMB or INLA for the survey maps","user":{"login":"seananderson","id":19349,"node_id":"MDQ6VXNlcjE5MzQ5","avatar_url":"https://avatars0.githubusercontent.com/u/19349?v=4","gravatar_id":"","url":"https://api.github.com/users/seananderson","html_url":"https://github.com/seananderson","followers_url":"https://api.github.com/users/seananderson/followers","following_url":"https://api.github.com/users/seananderson/following{/other_user}","gists_url":"https://api.github.com/users/seananderson/gists{/gist_id}","starred_url":"https://api.github.com/users/seananderson/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/seananderson/subscriptions","organizations_url":"https://api.github.com/users/seananderson/orgs","repos_url":"https://api.github.com/users/seananderson/repos","events_url":"https://api.github.com/users/seananderson/events{/privacy}","received_events_url":"https://api.github.com/users/seananderson/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-02T21:42:08Z","updated_at":"2018-10-02T21:42:08Z","closed_at":null,"author_association":"MEMBER","body":"Both are now implemented. It's currently set up to use sdmTMB.\r\n\r\nAn advantage for INLA is that it's already written up. A disadvantage is that it's a bit of a different paradigm than the current cpue Tweedie model and the TMB model is a spatiotemporal one that incorporates more data for the fixed effects and spatial random effects.\r\n\r\nIf going with the spatiotemporal one then the writeup will have to be different.\r\n\r\nThe end result seems to look very similar in most cases.\r\n\r\nAn advantage to the TMB one is consistency with what we are likely to do with the range shift project model."}}
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