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Dear all,

Thank you for reading my conundrum. For my PhD research, I am computing variables using the ecometric technique (Raudenbusch & Sampson, 1999). This requires fitting a three-level multilevel item response model (items nested in subjects nested in neighborhoods) and extracting the level 3 ...

The third level of weight calculation may be performed once the samples have been aligned. Gather the first two levels' weights and combine them to get the total survey weight moto x3m. The next step is to make proportionate weight adjustments such that the third level reference population is ...

I fitted a 2-level binomial model using mcmc. I want to apply predisposition score matching with calculated probability.
How can I convert mlwinfitMCMC fitted propensity scores (the predicted prob of Y for all obs) to numeric objects?

Base R commands are simple: p < model$fitted.values