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I’m working with complex survey data from the Demographic and Health Surveys (DHS), where individuals are nested within clusters, which are in turn nested within countries. I’d like to estimate a multilevel model that includes country fixed effects (multi country analyses) and random intercepts at the cluster level, but I also want to account for survey weights. I have individual-level survey weights, and I understand that I need to derive approximate weights at the cluster level and then standardize them.

My main question is: how do I specify these weights in the R2MLwiN package in R? In particular, what command or syntax should I use to incorporate the weights properly

Reeth