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risq: Representativity Indicators for Survey Quality

Calculate representativity indicators for survey quality based on survey data and response models. Use partial indicators to analyse the impact of individual variables and categories. Monitor changes in representativity during data collection. Improve representativity through adaptive survey design. Supports both R-indicators and coefficients of variation. See also Schouten, Cobben, Bethlehem (2009) <https://api.semanticscholar.org/CorpusID:33654901>, Shlomo, Skinner, Schouten (2012) <doi:10.1016/j.jspi.2011.07.008> and Schouten, Shlomo (2017) <doi:10.1111/insr.12159>.

Version: 3.0.1
Depends: R (≥ 2.10)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-09-23
DOI: 10.32614/CRAN.package.risq
Author: Reijer Idema [aut, cre], Barry Schouten [aut]
Maintainer: Reijer Idema <r.idema at cbs.nl>
BugReports: https://github.com/reijeridema/risq/issues
License: EUPL-1.2
URL: https://github.com/reijeridema/risq
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: risq results

Documentation:

Reference manual: risq.html , risq.pdf
Vignettes: Introduction to RISQ (source, R code)
Theory behind RISQ (source)

Downloads:

Package source: risq_3.0.1.tar.gz
Windows binaries: r-devel: risq_3.0.1.zip, r-release: not available, r-oldrel: risq_3.0.0.zip
macOS binaries: r-release (arm64): risq_3.0.1.tgz, r-oldrel (arm64): risq_3.0.1.tgz, r-release (x86_64): risq_3.0.1.tgz, r-oldrel (x86_64): risq_3.0.1.tgz
Old sources: risq archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=risq to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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