Dear R users, I would like to use the MuMIn package to perform model average on a simple GLM containing a mixture of categorical and continuous predictors. The model.avg functions seems to work with models containing continuous and categorical variables, but I am wondering whether somebody could tell me if the relative importance obtained for categorical predictors (i.e. the selection probability) is meaningful when using this function?
thanks in advance, Simone _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
