Re: [R] comparing mixed binomial model against the same model without random effect

Thank you very much for answering, I have just tried it and these are the results: > random.model<-glmer(sex~hwp+hcp+(1|colony),family=binomial) Mensajes de aviso perdidos glm.fit: fitted probabilities numerically 0 or 1 occurred > no.random.model<-glm(sex~hwp+hcp,family=binomial) Mensajes de a

Re: [R] comparing mixed binomial model against the same model without random effect

Hello Simone, Given that your response variable is binary and, consequently, you should use generalized models, just occurs to me a comparison between a Generalized Linear Model (the model without the random effect) and a Generalized Linear Mixed Model (the model with the random effect). You coul

Re: [R] comparing mixed binomial model against the same model without random effect

Any answer to this? I really need to compare a mixed model with binomial error against the same model without the random effect. I would use anova() but I don't know how to specify both models in order to make them comparable. Thanks for any answer Simone -- View this message in context: http:

[R] comparing mixed binomial model against the same model without random effect

Hi everybody, If I am correct, you can compare a model with random effect with the same model without the random effect by using the nlme function, like this: no.random.model <- gls(Richness ~ NAP * fExp, method = "REML", data = RIKZ) random.model <- lme(Richness ~NAP * fExp, data