Hi lme4 users:
I am new to mixed models in R and started using lme4 and apart of all I´m not an statistician.
I am developing a GLMM model like the one below which contains the independent effect and interaction of two factors, plus the repeated measurement effect on individuals.
Y~a*b+(1/Ind)I am using theglmer( function, family=poisson. This model has three terms (a+b+a:ab). If I want to test the significance of the three terms I am using the likelihood ratio test (anova) comparing the model with the term and without the term
Let say for example:
m1<-glmer(y~a*b+(1/ind), family=poisson)
m2<-glmer(y~a+b+(1/ind), family=poisson)
anova(m1,m2)
but, how to test the significancy of only "a" or only "b"
For example to test a:

m1<-glmer(y~a*b+(1/ind), family=poisson)
m3<-glmer(y~b+a:b+(1/ind), family=poisson)
anova(m1,m3)

This seems to be a incorrect model development as the LRT gave exacttly the same values for the two models.


I am only considering transform my variable, get a normal distribution and conduct the analysis with the lmer() function.

I´ll be very grateful for your help!!

Cheers

Leo
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