Hi all, I'd like to compare species richness patterns of two groups with paired observations with an extra continuous fixed effect as a covariate. Normally I would use a standard general mixed effect model for such data, with one group variable and a continuous variable as fixed effects, plus a random effect for the paired observations. However, after making such a model with the lme function, I saw that the residuals of my model were not normally distributed and transforming them to a normal distribution does not seem to be possible. Therefore I need a nonparametric equivalent of the lme function to build a nonparametric mixed effect model. Does anyone know how I can do this? Any help would be very appreciated! -- View this message in context: http://n4.nabble.com/nonparametric-mixed-effect-model-tp1558728p1558728.html Sent from the R help mailing list archive at Nabble.com.
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