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Hello everybody, using the lmer function, I have fitted the following logistic mixed regression model on an experimental data set containing one fixed factor (Cond) and three random variables (Sito, Area, Trans): > model<-lmer(Caul~Cond+(1|Sito)+(1|Area)+(1|Trans), data=dataset, > family=binomial) this is the output: > summary(model) Generalized linear mixed model fit by the

Hi, Is possible to anova function on R calculate the significance of complete glm model? I explain better. I have a glm model: > model1 <- glm(nsp~caules+mo,family=poisson) I make an anova of this: > anova(model1,test="F") Analysis of Deviance Table Model: poisson, link: log Response: nsp Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev F Pr(>F) NULL 6 40.31...