Variance structure in mixed models
Dear all, I modelled my data with a quasi-poisson error distribution using glm: glm(response~variable1 + factor1 , family=quasipoisson). Looking at the plot of residuals vs factor 1, I noticed a large heterogeneity in residual variance between the different levels of my factor. With a linear regression, there is the option of using a different variance structure for different levels using the option "varIdent" (funtion gls, package nlme). I could not find any equivalent for mixed models. Could anybody explain me why and if there is another possibilty to account for variance heterogeneity? Thank you very much ___________________________________________________________ Quiz TV : Vous ?tes fan de la s?rie "Friends" ? 5 questions ici http://tv.voila.fr/quiz/quiz-special-friends_14538959.html