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Add complex survey correction to estimation

Open mkleinsa opened this issue 2 years ago • 1 comments

Would it be legitimate to use survey::svymle to maximize the likelihood at each iteration (see here) of the optimization algorithm to apply complex survey adjustments (weights, clustering, stratification) to the results?

mkleinsa avatar Jun 08 '22 17:06 mkleinsa

I would be interested in this too. I wonder whether using the ML from svmle might impact the ability to use information criterions as outlines in https://www.statisticalinnovations.com/wp-content/uploads/Vermunt2007.pdf?

RustyBrain avatar Aug 25 '22 10:08 RustyBrain