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Dear listers, Here we have a strange result we can hardly cope with. We want to compare a null mixed model with a mixed model with one independent variable. > lmmedt1<-lme(mediane~1, random=~1|site, na.action=na.omit, data=bdd2) > lmmedt9<-lme(mediane~log(0.0001+transat), random=~1|site, na.action=na.omit, data=bdd2) Using the Akaike Criterion and selMod of the package pgirmess gives the following output: > selMod(list(lmmedt1,lmmedt9)) model LL K N2K AIC deltAIC w_i AIC...

...) and (D_MinMond * Institutions);D_MinMond is a dummy taking 0 or 1. But I can not find the right code to calculate the standard error under RHere is the equation for this estimate:reg_iv2<-ivreg(logYL~Institutions+D_MinMond+D_MinMondInstitutions|xconst+xrreg+D_MinMond+D_MinMondInstitutions,data=bdd2) Tafsir DialloCordially [[alternative HTML version deleted]]