{"action":"created","issue":{"url":"https://api.github.com/repos/berndbischl/mlr/issues/32","labels_url":"https://api.github.com/repos/berndbischl/mlr/issues/32/labels{/name}","comments_url":"https://api.github.com/repos/berndbischl/mlr/issues/32/comments","events_url":"https://api.github.com/repos/berndbischl/mlr/issues/32/events","html_url":"https://github.com/berndbischl/mlr/issues/32","id":23887283,"number":32,"title":"Do we really need the special code in regr.randomForest for se estimation if we have that in BaggingWrapper?","user":{"login":"berndbischl","id":1225974,"avatar_url":"https://avatars.githubusercontent.com/u/1225974?v=3","gravatar_id":"","url":"https://api.github.com/users/berndbischl","html_url":"https://github.com/berndbischl","followers_url":"https://api.github.com/users/berndbischl/followers","following_url":"https://api.github.com/users/berndbischl/following{/other_user}","gists_url":"https://api.github.com/users/berndbischl/gists{/gist_id}","starred_url":"https://api.github.com/users/berndbischl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/berndbischl/subscriptions","organizations_url":"https://api.github.com/users/berndbischl/orgs","repos_url":"https://api.github.com/users/berndbischl/repos","events_url":"https://api.github.com/users/berndbischl/events{/privacy}","received_events_url":"https://api.github.com/users/berndbischl/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/berndbischl/mlr/labels/upcoming%20release","name":"upcoming release","color":"009800"}],"state":"open","locked":false,"assignee":{"login":"berndbischl","id":1225974,"avatar_url":"https://avatars.githubusercontent.com/u/1225974?v=3","gravatar_id":"","url":"https://api.github.com/users/berndbischl","html_url":"https://github.com/berndbischl","followers_url":"https://api.github.com/users/berndbischl/followers","following_url":"https://api.github.com/users/berndbischl/following{/other_user}","gists_url":"https://api.github.com/users/berndbischl/gists{/gist_id}","starred_url":"https://api.github.com/users/berndbischl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/berndbischl/subscriptions","organizations_url":"https://api.github.com/users/berndbischl/orgs","repos_url":"https://api.github.com/users/berndbischl/repos","events_url":"https://api.github.com/users/berndbischl/events{/privacy}","received_events_url":"https://api.github.com/users/berndbischl/received_events","type":"User","site_admin":false},"milestone":null,"comments":2,"created_at":"2013-12-06T21:43:31Z","updated_at":"2015-03-05T13:40:20Z","closed_at":null,"body":""},"comment":{"url":"https://api.github.com/repos/berndbischl/mlr/issues/comments/77364748","html_url":"https://github.com/berndbischl/mlr/issues/32#issuecomment-77364748","issue_url":"https://api.github.com/repos/berndbischl/mlr/issues/32","id":77364748,"user":{"login":"zmjones","id":1114501,"avatar_url":"https://avatars.githubusercontent.com/u/1114501?v=3","gravatar_id":"","url":"https://api.github.com/users/zmjones","html_url":"https://github.com/zmjones","followers_url":"https://api.github.com/users/zmjones/followers","following_url":"https://api.github.com/users/zmjones/following{/other_user}","gists_url":"https://api.github.com/users/zmjones/gists{/gist_id}","starred_url":"https://api.github.com/users/zmjones/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zmjones/subscriptions","organizations_url":"https://api.github.com/users/zmjones/orgs","repos_url":"https://api.github.com/users/zmjones/repos","events_url":"https://api.github.com/users/zmjones/events{/privacy}","received_events_url":"https://api.github.com/users/zmjones/received_events","type":"User","site_admin":false},"created_at":"2015-03-05T13:40:20Z","updated_at":"2015-03-05T13:40:20Z","body":"most of my code comes from [randomForestCI](https://github.com/swager/randomForestCI). their variance estimator requires as input a matrix of bootstrap weights and the tree predictions as well, which neither `rfsrc` nor `cforest` provide. There is code to do both of those things in [edarf](http://github.com/zmjones/edarf/). `randomForest` doesn't return a proper bootstrap weights matrix, only giving you an indicator of whether an observation was in the bootstrap sample for a tree, not the number of times it appears. Wager has also [fixed this](https://github.com/swager/randomForest) but I don't think it has been merged yet. I assume it will be at some point though."}}