svySE: Sampling Error Estimation for Complex Surveys
Estimates sampling errors and produces indicator tables for
complex survey data. Supports weighted totals, proportions, standard
errors, confidence intervals, coefficients of variation, design effects,
unweighted frequencies, grouped estimates, domain estimates, optional
stratification and clustering variables, and customizable exports to
'.xlsx' files. Survey estimation is based on design-based inference using
Taylor series linearization implemented in the 'survey' package (Lumley,
2004, <doi:10.18637/jss.v009.i08>; Lumley, 2010,
ISBN:9780470284308). The package provides a reproducible workflow for
official statistics, household surveys, and applied survey research.
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