[R-sig-ME] Post-hoc test and Cook's distance vs. leverageplot for glmer from package lme4

[Mario Garrido]

Hi,

My name's Mario Garrido, a postdoctoral student in Biology. I am relatively
new with r and despite I find it brilliant I am having some difficulties in
finding some functions and interpreting the syntaxes.

At the moment I am working on a GLZM model which fits a Poisson
distribution. I am having some problems with two issues

1.     after calculating Akaike weights, my best model is one including a
4-way interaction term. It is the following:

model7<-glmer(active~ treatment*daytype*time*age+(1|
indiv),family=poisson(link=log),nAGQ=1)

Is there any function or package to perform a Post hoc test to know which
subset of 2- and 3-way interaction terms have more influence on the model?


2.     In addition, I find how to compute Cook's distance both for the
function glmer and for the function lmer using the package influence.ME.
This package also allow to make some graphs but, is there any
package or function to do it and obtain a plot similar to this:
https://climateaudit.files.wordpress.com/2012/09/lew_cooks-distance1.png?



Thanks everybody,



Sincerely,

Mario Garrido

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