Design-Based Methods for Ranking Questions R package rankingQ version 0.2.0 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>. Software 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) Seo-young Silvia Kim <sy.silvia.kim@gmail.com> Comprehensive R Archive Network (CRAN) Seo-young Silvia Kim [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8801-9210>), Yuki Atsusaka [aut, cph] (ORCID: <https://orcid.org/0000-0001-5365-1876>) GPL (>= 3) 2026-08-21 application/tgz https://CRAN.R-project.org/package=rankingQ doi:10.32614/CRAN.package.rankingQ