Design-based sampling in R. Eleven reusable sampling designs that know their own inclusion probabilities, so a drawn sample carries the weights needed for Horvitz-Thompson totals and means with standard errors.
r statistics rstats sampling sample-size survey-sampling variance-estimation probability-sampling survey-methodology cluster-sampling design-based-inference horvitz-thompson inclusion-probabilities stratified-samplin
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Updated
Aug 26, 2026 - R