{"action":"opened","issue":{"url":"https://api.github.com/repos/leeper/prediction/issues/9","repository_url":"https://api.github.com/repos/leeper/prediction","labels_url":"https://api.github.com/repos/leeper/prediction/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/leeper/prediction/issues/9/comments","events_url":"https://api.github.com/repos/leeper/prediction/issues/9/events","html_url":"https://github.com/leeper/prediction/issues/9","id":206043920,"number":9,"title":"Use `merTools::predictInterval()` for lmer/merMod models?","user":{"login":"benwhalley","id":524696,"avatar_url":"https://avatars.githubusercontent.com/u/524696?v=3","gravatar_id":"","url":"https://api.github.com/users/benwhalley","html_url":"https://github.com/benwhalley","followers_url":"https://api.github.com/users/benwhalley/followers","following_url":"https://api.github.com/users/benwhalley/following{/other_user}","gists_url":"https://api.github.com/users/benwhalley/gists{/gist_id}","starred_url":"https://api.github.com/users/benwhalley/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/benwhalley/subscriptions","organizations_url":"https://api.github.com/users/benwhalley/orgs","repos_url":"https://api.github.com/users/benwhalley/repos","events_url":"https://api.github.com/users/benwhalley/events{/privacy}","received_events_url":"https://api.github.com/users/benwhalley/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-02-07T23:02:26Z","updated_at":"2017-02-07T23:02:26Z","closed_at":null,"body":"I wonder whether it would makesense to use `predictInterval` from merTools instead of the standard `predict` function? At present `prediction`  returns NA for the fitted.se, but predictInterval would make this possible, and is also relatively fast: \r\n\r\nhttps://cran.r-project.org/web/packages/merTools/vignettes/Using_predictInterval.html\r\n\r\nPerhaps merTools could be an optional dependency, and if not present we'd fall back to the standard predict method?"}}
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