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Sushi-inspired toy ranking data

Source: R/toy_rankings.R
sushi_toy.Rd

A reproducible, synthetic teaching dataset with two preference profiles over ten sushi types. It is designed to demonstrate as_rankings(), pl_model(), PL mixtures, and PL–LBM data shapes without redistributing respondent-level data from the Sushi Preference Dataset.

Usage

sushi_toy(n_rankings = 40L, rank_length = 5L, seed = 2026L)

Arguments

n_rankings

Number of synthetic rankings.

rank_length

Number of reported positions per ranking.

seed

Integer seed.

Value

A btsbm_ranking_data object. Its "truth" attribute contains synthetic ranking-cluster labels and the generating ability matrix.

References

Kamishima, T. (2003). Nantonac collaborative filtering: Recommendation based on order responses. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The original Sushi Preference Dataset must be obtained from its authors; its licence does not allow redistribution.