Hi everybody,
Trying to test for the effect of fixed factors in a generalized linear
mixed model, I face the problem of mcmc not yet implemented with such
models.
I would like to know if there is any equivalent procedure to that
applied on lme ( "lmer" followed with "mcmc sampling" and "aovlmer
Hi all,
I try to build a model using lmer, with 2 crossed fixed factors (poptype
and matingtype) and 2 random factors (pop and family) which I want to
nest within poptype. Which of these formulae should I use ?
1. lmer(y~poptype*matingtype + (1|poptype/pop/fam))
2. lmer(y~poptype*matingtype +
Dear all,
I use a nested design with lm and glm, with factor2 nested within
factor1. In order to test for the significance of both factors, I use
anova tables on the obtained models such as follows:
/> mod1<-lm(A~factor1/factor2)
> amod1<-anova(mod1, test="F")
Analysis of Variance Table
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