Hello , Can anyone please help me figure out how to do a weighted betabinomial analysis? I mean i have 700 clusters each of size 2 and the response (y[i1]+y[i2]) in each cluster case is either 0,1 or 2. I extract a sample of clusters such that the clusters in which response is 1 or 2 have higher probability of selection but clusters in which response is 0 have lower probability of selection. Now i want to give weight to my sample before i apply betabinomial model to the sampled clusters. what should i do?
I would really appreciate any help specially from the authors of package "aod " it would be great if they could tell if it is possible to give some option of weights to "betabin" function like we give in glm function? looking forward for help . thanks! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.