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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.

Version: 0.2.0
Depends: R (≥ 4.2.0)
Imports: survey, openxlsx, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-14
DOI: 10.32614/CRAN.package.svySE
Author: Luis Burgos ORCID iD [aut, cre]
Maintainer: Luis Burgos <lburgoss1996 at gmail.com>
BugReports: https://github.com/lburgoss/svySE/issues
License: MIT + file LICENSE
URL: https://github.com/lburgoss/svySE
NeedsCompilation: no
Language: en-US
Citation: svySE citation info
Materials: README, NEWS
CRAN checks: svySE results

Documentation:

Reference manual: svySE.html , svySE.pdf
Vignettes: Basic Workflow with svySE (source, R code)

Downloads:

Package source: svySE_0.2.0.tar.gz
Windows binaries: r-devel: svySE_0.1.0.zip, r-release: svySE_0.1.0.zip, r-oldrel: svySE_0.1.0.zip
macOS binaries: r-release (arm64): svySE_0.2.0.tgz, r-oldrel (arm64): svySE_0.1.0.tgz, r-release (x86_64): svySE_0.2.0.tgz, r-oldrel (x86_64): svySE_0.2.0.tgz
Old sources: svySE archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=svySE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.