{"action":"closed","issue":{"url":"https://api.github.com/repos/Tagliacollo/PartitionUCE/issues/21","repository_url":"https://api.github.com/repos/Tagliacollo/PartitionUCE","labels_url":"https://api.github.com/repos/Tagliacollo/PartitionUCE/issues/21/labels{/name}","comments_url":"https://api.github.com/repos/Tagliacollo/PartitionUCE/issues/21/comments","events_url":"https://api.github.com/repos/Tagliacollo/PartitionUCE/issues/21/events","html_url":"https://github.com/Tagliacollo/PartitionUCE/issues/21","id":181922968,"number":21,"title":"uncertainty in multinomial likliehood","user":{"login":"roblanf","id":895251,"avatar_url":"https://avatars.githubusercontent.com/u/895251?v=3","gravatar_id":"","url":"https://api.github.com/users/roblanf","html_url":"https://github.com/roblanf","followers_url":"https://api.github.com/users/roblanf/followers","following_url":"https://api.github.com/users/roblanf/following{/other_user}","gists_url":"https://api.github.com/users/roblanf/gists{/gist_id}","starred_url":"https://api.github.com/users/roblanf/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/roblanf/subscriptions","organizations_url":"https://api.github.com/users/roblanf/orgs","repos_url":"https://api.github.com/users/roblanf/repos","events_url":"https://api.github.com/users/roblanf/events{/privacy}","received_events_url":"https://api.github.com/users/roblanf/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-10-10T00:43:53Z","updated_at":"2016-12-13T04:23:22Z","closed_at":"2016-12-13T04:23:21Z","body":"We should consider what to do with gaps, N's, and IUPAC uncertainties. \n\nOne method is to sum over all possible likelihoods for all possible states (as you do in a standard ML approach). Need to do some reading and thinking. This is probably better than ignoring gaps.\n"}}
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