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`rankingQ` implements design-based methods for correcting measurement errors in ranking questions due to random responses. `rankingQ` allows users to estimate various ranking-based quantities of interest both non-parametrically and parametrically. `rankingQ` also offers practical tools for detecting the bias and assessing the anchor-ranking question.\
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For the underlying methodology, see [Atsusaka and Kim (2024)](https://osf.io/3ys8x). Addressing Measurement Errors in Ranking Questions for the Social Sciences. *Political Analysis* (conditionally accepted). Please visit the [package site](https://sysilviakim.com/rankingQ/) for all vignettes and references.
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For the underlying methodology, see [Atsusaka and Kim (2025)](https://doi.org/10.1017/pan.2024.33). Addressing Measurement Errors in Ranking Questions for the Social Sciences. *Political Analysis* (online first view). Please visit the [package site](https://sysilviakim.com/rankingQ/) for all vignettes and references.
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