{"action":"opened","issue":{"url":"https://api.github.com/repos/rajanil/fastStructure/issues/20","labels_url":"https://api.github.com/repos/rajanil/fastStructure/issues/20/labels{/name}","comments_url":"https://api.github.com/repos/rajanil/fastStructure/issues/20/comments","events_url":"https://api.github.com/repos/rajanil/fastStructure/issues/20/events","html_url":"https://github.com/rajanil/fastStructure/issues/20","id":77199738,"number":20,"title":"Logistic Prior","user":{"login":"wrightaprilm","id":1715446,"avatar_url":"https://avatars.githubusercontent.com/u/1715446?v=3","gravatar_id":"","url":"https://api.github.com/users/wrightaprilm","html_url":"https://github.com/wrightaprilm","followers_url":"https://api.github.com/users/wrightaprilm/followers","following_url":"https://api.github.com/users/wrightaprilm/following{/other_user}","gists_url":"https://api.github.com/users/wrightaprilm/gists{/gist_id}","starred_url":"https://api.github.com/users/wrightaprilm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wrightaprilm/subscriptions","organizations_url":"https://api.github.com/users/wrightaprilm/orgs","repos_url":"https://api.github.com/users/wrightaprilm/repos","events_url":"https://api.github.com/users/wrightaprilm/events{/privacy}","received_events_url":"https://api.github.com/users/wrightaprilm/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-05-17T03:34:36Z","updated_at":"2015-05-17T03:34:36Z","closed_at":null,"body":"Hello-\r\n\r\nI have a data set with dense sampling in which I expect there may be some rather subtle population differences. I have run fastStructure with the simple prior, and the software runs quite happily, executing model fitting for K=7 through K=16 in a matter of hours. However, with the logistic prior, I can't even finish K=7 in 24 hours. Looking at the log, the first loop has a nan value for the marginal likelihood, and the second has an extremely large value for the marginal likelihood. \r\n\r\nDo you have a sense of factors I might look into to resolve the issue so I can use the logistic prior?"}}