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svySE  

Sampling Error Estimation for Complex Surveys
View on CRAN: Click here


Download and install svySE package within the R console
Install from CRAN:
install.packages("svySE")

Install from Github:
library("remotes")
install_github("cran/svySE")

Install by package version:
library("remotes")
install_version("svySE", "0.2.1")



Attach the package and use:
library("svySE")
Maintained by
Luis Burgos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-14
Latest Update: 2026-07-14
Description:
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.
How to cite:
Luis Burgos (2026). svySE: Sampling Error Estimation for Complex Surveys. R package version 0.2.1, https://cran.r-project.org/web/packages/svySE. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-30 22:30), 0.1.0 (2026-07-10 22:50), 0.2.0 (2026-07-14 16:40), 0.2.1 (2026-07-31 20:20)
Other packages that cited svySE R package
View svySE citation profile
Other R packages that svySE depends, imports, suggests or enhances
Complete documentation for svySE
Functions, R codes and Examples using the svySE R package
Full svySE package functions and examples
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