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:
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
- gles17 - Partial Data from the 2017 German Election Survey
Last updated 3 years agofrom:6c89bf0dd8. Checks:3 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-win | NOTE | Mar 25 2025 |
| R-4.5-mac | NOTE | Mar 25 2025 |
| R-4.5-linux | NOTE | Mar 25 2025 |
| R-4.4-win | NOTE | Mar 25 2025 |
| R-4.4-mac | NOTE | Mar 25 2025 |
| R-4.4-linux | NOTE | Mar 25 2025 |
| R-4.3-win | OK | Mar 25 2025 |
| R-4.3-mac | OK | Mar 25 2025 |
Exports:as.w8margineff_nimpute_w8marginrakesvyrakew8w8margin_matchedweight_eff
Dependencies:DBIgdatagtoolslatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weight Margin Objects | as.w8margin as.w8margin.data.frame as.w8margin.matrix as.w8margin.numeric w8margin |
| Effective Sample Size and Weighting Efficiency | eff_n weight_eff |
| Partial Data from the 2017 German Election Survey | gles17 |
| Impute NAs in w8margin Object | impute_w8margin |
| Flexibly Calculate Rake Weights | rakesvy rakew8 |
| svyweight: Quick and Flexible Rake Weighting | svyweight |
| Check if w8margin Matches Observed Data | w8margin_matched |
