Package: svyweight 0.1.0

svyweight: Quick and Flexible Survey Weighting

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.'

Authors:Ben Mainwaring [aut, cre]

svyweight_0.1.0.tar.gz
svyweight_0.1.0.zip(r-4.5)svyweight_0.1.0.zip(r-4.4)svyweight_0.1.0.zip(r-4.3)
svyweight_0.1.0.tgz(r-4.5-any)svyweight_0.1.0.tgz(r-4.4-any)svyweight_0.1.0.tgz(r-4.3-any)
svyweight_0.1.0.tar.gz(r-4.5-noble)svyweight_0.1.0.tar.gz(r-4.4-noble)
svyweight_0.1.0.tgz(r-4.4-emscripten)svyweight_0.1.0.tgz(r-4.3-emscripten)
svyweight.pdf |svyweight.html
svyweight/json (API)

# Install 'svyweight' in R:
install.packages('svyweight', repos = c('https://mainwaringb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mainwaringb/svyweight/issues

Datasets:
  • gles17 - Partial Data from the 2017 German Election Survey

On CRAN:

Conda:

rakesamplingsurveyweighting

3.00 score 2 stars 1 scripts 110 downloads 7 exports 12 dependencies

Last updated 3 years agofrom:6c89bf0dd8. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winNOTEMar 25 2025
R-4.5-macNOTEMar 25 2025
R-4.5-linuxNOTEMar 25 2025
R-4.4-winNOTEMar 25 2025
R-4.4-macNOTEMar 25 2025
R-4.4-linuxNOTEMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:as.w8margineff_nimpute_w8marginrakesvyrakew8w8margin_matchedweight_eff

Dependencies:DBIgdatagtoolslatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival