What statistic method to use in multivariate abundance data with random effects?
What statistic method to use in multivariate abundance data with random effects? I am working with multivariate data with random effects. My hypothesis is this: D has an effect on A1 and A2 , where A1 and A2 are binary data, and D is a continuous variable. I also have a random effect, R , that is a factor variable. D A1 A2 A1 A2 D R So my model would be something like this: A1andA2~D, random=1=~1|R A1andA2~D, random=1=~1|R I tried to use the function manyglm in mvabund package, but it can not deal with random effects. Or I can use lme4 , but it can not deal with multivariate data. manyglm mvabund lme4 I can convert my multivariate data to a 4 level factor variable, but I didn't find any method to use not binary but factor data as a response variable. I also can convert the continuous D into factor variable. D Do you have any advice about what to use in that situation? By clicking "Post Your Answer...