BayesMallows: potato_weighing – R documentation

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potato_weighing

Result of ranking potatoes by weight, where the assessors were allowed to lift the potatoes. 12 assessors ranked 20 potatoes.

Description

Result of ranking potatoes by weight, where the assessors were allowed to lift the potatoes. 12 assessors ranked 20 potatoes.

Usage

potato_weighing

Format

An object of class matrix (inherits from array) with 12 rows and 20 columns.

References

Liu Q, Crispino M, Scheel I, Vitelli V, Frigessi A (2019). “Model-Based Learning from Preference Data.” Annual Review of Statistics and Its Application, 6(1). doi: 10.1146/annurev-statistics-031017-100213, https://doi.org/10.1146/annurev-statistics-031017-100213.

BayesMallows

Bayesian Preference Learning with the Mallows Rank Model

v1.0.1

GPL-3

Authors

Oystein Sorensen [aut, cre] (<https://orcid.org/0000-0003-0724-3542>), Valeria Vitelli [aut] (<https://orcid.org/0000-0002-6746-0453>), Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut]

Initial release