Has anyone developed penalized meta-regression methods? Meta-regression is usually high p/n, so I expect much overfitting.
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A Bayesian multilevel model with an informative prior is a penalized meta-regression for free. :)
Yes, but I don't like Bayesian methods that much. Too much work to use.
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Well, you can wait & hope someone writes specialcase ML algo sans any dealbreakers for all your problem. Or can learn JAGS.
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I already know JAGS, I just don't use it. IMO, in most (not all) cases B methods are complicated, time consuming and unnecessary.
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If you're asking, this is obviously one of those cases. And the more advanced your needs, the more often it'll happen...
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isn't brms the better move here?
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Mayb if you're willing to use Stan. Bit worried about immaturity - isn't it still missing stuff like discrete vars?
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no, you can use int
End of conversation
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