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...r function including some main effects, a three-way interaction and a random effect. Because I work with a binomial and poisson distribution, I want to know whether there is overdispersion in my data or not. Does anybody know how I can retrieve this information from R? Thank you in advance, Eva Fucikova [[alternative HTML version deleted]]

...(Intr) hndlng stress handling -0.645 stress -0.517 0.667 Could anybody please give me an advice how to solve this problem? Which way is correct to express interaction in the random factors? How should the output look like? Thank you in advance, Eva Fucikova ******************************************** Msc. Eva Fucikova Netherlands Institute of Ecology (NIOO-KNAW) PO Box 40 6666 ZG Heteren The Netherlands tel.: +31 (0)26 4791248 Email:E.Fucikova@nioo.knaw.nl ******************************************* [[alternative HTML version delet...

...n in e.g. glm). This gives the following R output: Error in predict(lmer(model)) no applicable method for "predict" I found the same question in the R forum archives, but no answer. Could anybody please give me an advice how to solve this problem? Thank you in advance, Eva Fucikova ******************************************** Msc. Eva Fucikova Netherlands Institute of Ecology (NIOO-KNAW) PO Box 40 6666 ZG Heteren The Netherlands tel.: +31 (0)26 4791248 Email:E.Fucikova@nioo.knaw.nl ******************************************* [[alternative HTML version delet...

...r6:VAR1 8.853e-02 7.870e-02 1.1249 0.26062 Model2<-lmer(recruit~year+VAR1+VAR2+VAR3+VAR4+VAR5+(1|nk)+(1|rnr),family=poisson) After removal of the interaction the false convergence appears. Could anybody give me advice on how to solve this problem, please? Thank you in advance, Eva Fucikova [[alternative HTML version deleted]]