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svyweight  

Quick and Flexible Survey Weighting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("svyweight", "0.1.0")



Attach the package and use:
library("svyweight")
Maintained by
Ben Mainwaring
[Scholar Profile | Author Map]
First Published: 2022-05-03
Latest Update: 2022-05-03
Description:
Quickly and flexibly calculates weights for survey data, in order to correct for survey non-response or other sampling issues. Uses rake weighting, a common technique also know as rim weighting or iterative proportional fitting.This technique allows for weighting on multiple variables, even when the interlocked distribution of the two variables is not known. Interacts with Thomas Lumley's 'survey' package, as described in Lumley, Thomas (2011, ISBN:978-1-118-21093-2). Adds additional functionality, more adaptable syntax, and error-checking to the base weighting functionality in 'survey.'
How to cite:
Ben Mainwaring (2022). svyweight: Quick and Flexible Survey Weighting. R package version 0.1.0, https://cran.r-project.org/web/packages/svyweight. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited svyweight R package
View svyweight citation profile
Other R packages that svyweight depends, imports, suggests or enhances
Complete documentation for svyweight
Functions, R codes and Examples using the svyweight R package
Some associated functions: as.w8margin . eff_n . gles17 . impute_w8margin . rakesvy . svyweight . w8margin_matched . 
Some associated R codes: data.R . quality_functions.R . rake_functions.R . svyweight.R . w8margin_functions.R .  Full svyweight package functions and examples
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