{"action":"opened","issue":{"url":"https://api.github.com/repos/paul-buerkner/brms/issues/42","repository_url":"https://api.github.com/repos/paul-buerkner/brms","labels_url":"https://api.github.com/repos/paul-buerkner/brms/issues/42/labels{/name}","comments_url":"https://api.github.com/repos/paul-buerkner/brms/issues/42/comments","events_url":"https://api.github.com/repos/paul-buerkner/brms/issues/42/events","html_url":"https://github.com/paul-buerkner/brms/issues/42","id":132521236,"number":42,"title":"predictions of ordinal variables","user":{"login":"bachlaw","id":11594064,"avatar_url":"https://avatars.githubusercontent.com/u/11594064?v=3","gravatar_id":"","url":"https://api.github.com/users/bachlaw","html_url":"https://github.com/bachlaw","followers_url":"https://api.github.com/users/bachlaw/followers","following_url":"https://api.github.com/users/bachlaw/following{/other_user}","gists_url":"https://api.github.com/users/bachlaw/gists{/gist_id}","starred_url":"https://api.github.com/users/bachlaw/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bachlaw/subscriptions","organizations_url":"https://api.github.com/users/bachlaw/orgs","repos_url":"https://api.github.com/users/bachlaw/repos","events_url":"https://api.github.com/users/bachlaw/events{/privacy}","received_events_url":"https://api.github.com/users/bachlaw/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-02-09T20:11:31Z","updated_at":"2016-02-09T20:11:31Z","closed_at":null,"body":"One of the best features of this package is its extensive support for ordinal regression.  Thank you for this.\r\n\r\nHowever, two issues.  First, is there anyway to \"predict\" anything other than classes from, say, a cumulative ordinal regression?  POLR and Ordinal both support the ability to do this (type='prob' or 'cum prob'), and since my categories actually have \"value\" in a sense this ability would be very useful to me.  Or perhaps we can do something equivalent by working through the classes currently being predicted?\r\n\r\nSecond, when using meanfield VB, I am getting \"log of 0\" errors when using probit for the initiating values.  Logit works fine.  All output values / categories are between -1 and +2 and have been converted to ordered factors.  If this sounds like a bug, please let me know and I'll try to post a toy that can reproduce it.  \r\n\r\nAgain, many thanks."}}