Package: svyweight 0.1.1

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_0.1.1.tar.gz
svyweight_0.1.1.zip(r-4.7)svyweight_0.1.1.zip(r-4.6)svyweight_0.1.1.zip(r-4.5)
svyweight_0.1.1.tgz(r-4.6-any)svyweight_0.1.1.tgz(r-4.5-any)
svyweight_0.1.1.tar.gz(r-4.7-any)svyweight_0.1.1.tar.gz(r-4.6-any)
svyweight_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

3.48 score 3 stars 1 scripts 481 downloads 7 exports 12 dependencies

Last updated from:b1e04a06ca. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK220
linux-release-x86_64OK148
macos-release-arm64OK180
macos-oldrel-arm64OK188
windows-develOK111
windows-releaseOK105
windows-oldrelOK89
wasm-releaseOK121

Exports:as.w8margineff_nimpute_w8marginrakesvyrakew8w8margin_matchedweight_eff

Dependencies:DBIgdatagtoolslatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival