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rankingQ: Design-Based Methods for Ranking Questions

Provides a design-based toolkit for survey ranking questions. Estimates average ranks, marginal rank probabilities, pairwise comparisons, and ranking distributions, with optional bias correction for random responding via anchor-ranking items or user-supplied random-response rates. Includes Plackett-Luce simulation, visualization, format conversion, and diagnostic checks. Methods are described in Atsusaka and Kim (2025) <doi:10.1017/pan.2024.33>.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: dplyr, tidyr (≥ 1.3.0), tidyselect, purrr, tibble, generics, ggplot2, rlang, combinat, estimatr, stats, Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, cli, testthat (≥ 3.0.0)
Published: 2026-08-21
DOI: 10.32614/CRAN.package.rankingQ
Author: Seo-young Silvia Kim ORCID iD [aut, cre, cph], Yuki Atsusaka ORCID iD [aut, cph]
Maintainer: Seo-young Silvia Kim <sy.silvia.kim at gmail.com>
BugReports: https://github.com/sysilviakim/rankingQ/issues
License: GPL (≥ 3)
Copyright: see file COPYRIGHTS
URL: https://github.com/sysilviakim/rankingQ, https://sysilviakim.com/rankingQ/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: rankingQ results

Documentation:

Reference manual: rankingQ.html , rankingQ.pdf
Vignettes: 1. Overview (source, R code)
2. Data (source, R code)
3. Methods (source, R code)
4. Analysis (source, R code)
5. Visualization (source, R code)
6. Test (source, R code)

Downloads:

Package source: rankingQ_0.2.0.tar.gz
Windows binaries: r-devel: rankingQ_0.2.0.zip, r-release: rankingQ_0.2.0.zip, r-oldrel: rankingQ_0.2.0.zip
macOS binaries: r-release (arm64): rankingQ_0.2.0.tgz, r-oldrel (arm64): rankingQ_0.2.0.tgz, r-release (x86_64): rankingQ_0.2.0.tgz, r-oldrel (x86_64): rankingQ_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rankingQ 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.