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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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): not available

Linking:

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