R packages and tutorial for case 1 best–worst scaling-Reference-Cited by-同舟云学术

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R packages and tutorial for case 1 best–worst scaling

Published:2023-03 Issue: Volume:46 Page:100394
ISSN:1755-5345
Container-title:Journal of Choice Modelling
language:en
Short-container-title:Journal of Choice Modelling

Author:

Aizaki Hideo^ORCID,Fogarty James

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation

Reference91 articles.

1. Basic functions for supporting an implementation of choice experiments in R;Aizaki;J. Stat. Software,2012

2. mded: measuring the difference between two empirical distributions;Aizaki;R package version 0.1-2,2015

3. Implementing case 1 best-worst scaling in R;Aizaki;Rev. Agric. Econ.,2017

4. support.BWS2: tools for case 2 best-worst scaling;Aizaki;R package version 0.3-0,2019

5. support.BWS3: tools for case 3 best-worst scaling;Aizaki;R package version 0.2-0,2019

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2. Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches?;Econometrics;2024-08-08

3. Using best-worst scaling to inform agroecological interventions in Western Kenya;Environment, Development and Sustainability;2024-06-28

4. Consumers’ preferences for the attributes of plant-based meat in China: A best-worst scaling approach;Future Foods;2024-06

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