Package: risq 3.0.1

Reijer Idema

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>.

Authors:Reijer Idema [aut, cre], Barry Schouten [aut]

risq_3.0.1.tar.gz
risq_3.0.1.zip(r-4.7-any)risq_3.0.1.zip(r-4.6-any)
risq_3.0.1.tar.gz(r-4.7-any)risq_3.0.1.tar.gz(r-4.6-any)
risq_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
risq/json (API)

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

Bug tracker:https://github.com/reijeridema/risq/issues

Datasets:
  • hlc - Household Living Conditions data

On CRAN:

Conda:

3.00 score 454 downloads 11 exports 0 dependencies

Last updated from:8e48afd452. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK171
source / vignettesOK195
linux-releaseOK131
windows-develOK92
windows-releaseOK84
wasm-releaseOK80

Exports:bootstrapcvcv_by_catcv_by_varriri_by_catri_by_varrisqrrsamplevar

Dependencies:

Introduction to RISQ
Overview | Data | Creating a RISQ object | Estimating indicators | Response rate | R-indicator | Coefficient of Variation | Partial indicators at variable level | Partial indicators at category level | Bootstrapping | Estimating indicator quantiles | Estimating indicator differences

Last update: 2026-09-21
Started: 2026-09-21

Theory behind RISQ

Last update: 2026-09-21
Started: 2026-09-21