{"action":"closed","issue":{"url":"https://api.github.com/repos/nipy/nipype/issues/1210","repository_url":"https://api.github.com/repos/nipy/nipype","labels_url":"https://api.github.com/repos/nipy/nipype/issues/1210/labels{/name}","comments_url":"https://api.github.com/repos/nipy/nipype/issues/1210/comments","events_url":"https://api.github.com/repos/nipy/nipype/issues/1210/events","html_url":"https://github.com/nipy/nipype/issues/1210","id":105869641,"number":1210,"title":"spm.EstimateModel do not allow to exploit bayesian estimation options?","user":{"login":"MartinPerez","id":8766915,"avatar_url":"https://avatars0.githubusercontent.com/u/8766915?v=4","gravatar_id":"","url":"https://api.github.com/users/MartinPerez","html_url":"https://github.com/MartinPerez","followers_url":"https://api.github.com/users/MartinPerez/followers","following_url":"https://api.github.com/users/MartinPerez/following{/other_user}","gists_url":"https://api.github.com/users/MartinPerez/gists{/gist_id}","starred_url":"https://api.github.com/users/MartinPerez/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MartinPerez/subscriptions","organizations_url":"https://api.github.com/users/MartinPerez/orgs","repos_url":"https://api.github.com/users/MartinPerez/repos","events_url":"https://api.github.com/users/MartinPerez/events{/privacy}","received_events_url":"https://api.github.com/users/MartinPerez/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2015-09-10T18:29:34Z","updated_at":"2017-11-02T18:03:34Z","closed_at":"2017-11-02T18:03:34Z","author_association":"CONTRIBUTOR","body":"It seems the model evidence is not computed by default in the bayesian option, also its not possible to pass contrasts during the estimation of the parameters, which is a normal practice in the case of the bayesian analysis due to very expensive computations that are needed for the contrasts and discarded after the parameter estimation. Is there any quick way to take advantage of this options? maybe by using the flags input?\n"}}
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