First CRAN submission. The package was previously available on GitHub under version 0.1.0.
New exported function rank_wider() for converting long-format ranking data to wide format (one column per item or a single pasted ranking string).
imprr_direct(): anc_correct is now optional. Users can instead supply p_random directly, or rely on anchor-based estimation of the non-random response rate.
New exported convenience wrapper add_ipw_weights() for returning the original data augmented with respondent-level IPW weights, with an option to also keep ranking summaries.
rpluce(): when all remaining Plackett-Luce weights become zero after earlier draws, the remaining items are now sampled uniformly at random rather than being ordered by input position.
rank_longer(): stricter validation on the reference argument and clearer handling of single- vs multi-column input.
Stronger input validation across the package: weights must be finite, non-negative, and sum to a positive number; J must be finite; permutation labels are parsed consistently across compact, delimited, and fixed-width formats (including J > 9).
Permutation-label infrastructure rewritten to support rankings of arbitrary size.
Documentation: switched to \href{}{} for external URLs; expanded examples and \value{} sections.
rankingQ 0.1.0
Initial GitHub release (not submitted to CRAN).
Implements design-based bias correction methods for ranking survey questions, based on Atsusaka and Kim (2025) doi:10.1017/pan.2024.33.