PS, the equivalent for a glm is:
> sum.modeltest <- summary(modeltest)
> sum.modeltest$dispersion
Hope this helps.
On 11/09/06, Toby Gardner <[EMAIL PROTECTED]> wrote:
> Dear list,
>
> I am needing to extract the estimate of overdispersion (deviance / residual
> degrees of freedom or c-hat) fro
You can extract it from a summary.lmer object, which has a slot names
"sigma" that contains this scale parameter. For example,
> sum.modeltest <- summary(modeltest)
> [EMAIL PROTECTED]
On 11/09/06, Toby Gardner <[EMAIL PROTECTED]> wrote:
> Dear list,
>
> I am needing to extract the estimate of o
summary(modeltest)@sigma
Toby Gardner wrote:
> Dear list,
>
> I am needing to extract the estimate of overdispersion (deviance / residual
> degrees of freedom or c-hat) from multiple model objects - so they can then
> be used to compare the extent of overdispersion among alternative models as
Dear list,
I am needing to extract the estimate of overdispersion (deviance / residual
degrees of freedom or c-hat) from multiple model objects - so they can then be
used to compare the extent of overdispersion among alternative models as well
as calculate qausi-AIC values. I have been unable
