High-Performance Open-Source Archive
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 |
| 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 |
| Reference manual: | svySE.html , svySE.pdf |
| Vignettes: |
Basic Workflow with svySE (source, R code) |
| Package source: | svySE_0.2.0.tar.gz |
| Windows binaries: | r-devel: svySE_0.2.0.zip, r-release: svySE_0.2.0.zip, r-oldrel: svySE_0.2.0.zip |
| macOS binaries: | r-release (arm64): svySE_0.2.0.tgz, r-oldrel (arm64): svySE_0.2.0.tgz, r-release (x86_64): svySE_0.2.0.tgz, r-oldrel (x86_64): svySE_0.2.0.tgz |
| Old sources: | svySE archive |
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