Augmented support for complex survey designs in R

March 3, 2010
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(This article was first published on SAS and R, and kindly contributed to R-bloggers)

We’ll get back to code examples later this week, but wanted to let you know about an R package with updated functionality in the meantime.The appropriate analysis of sample surveys requires incorporation of complex design features, including stratification, clustering, weights, and finite population correction. These can be address in SAS and R for many common models. Section 6.8 of the book

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