[R] Simulate binary data for a logistic regression Monte Carlo

Rolf Turner r.turner at auckland.ac.nz
Wed Apr 8 04:04:38 CEST 2009


On 8/04/2009, at 1:27 PM, Ben Bolker wrote:

	<snip>

> I agree that that the individual-level random effect is probably  
> the issue.
> I played with this some today but didn't manage to resolve it --
> tried JAGS/R2jags and glmer from lme4 but didn't manage to
> get an estimate of epsilon that matched the input value.  I'm
> a little worried about binary data with an underlying random
> effect, I think there's an identifiability problem there ...

	Oh dear.  This is getting hairier than I expected ... and a bit
	over my head.  The toy model proposed *looks* simple enough at
	first blush.  I would've thought that if a model which is that
	simple doesn't ``work'', then what hope is there for the more
	complicated models that one needs for analyzing real data?

		cheers,

			Rolf

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