R中离散选择实验的最优设计生成:标识包

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Frits Traets, Danielle Sanchez, M. Vandebroek
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引用次数: 23

摘要

离散选择实验被广泛应用于广泛的研究领域,以捕捉被调查者的偏好结构。这种实验的设计将在很大程度上决定偏好参数估计的准确性。本文提出了一个新的R包,称为idefix,它使用户能够生成离散选择实验的最佳设计。除了多项logit模型的贝叶斯D-efficient设计外,该软件包还包括生成贝叶斯自适应设计的函数,可用于收集混合logit模型的数据。此外,该包提供了必要的工具,以建立实际的调查和收集经验数据。数据收集完成后,可以使用idefix将数据转换成所需的格式,以便使用R中现有的估计软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package
Discrete choice experiments are widely used in a broad area of research fields to capture the preference structure of respondents. The design of such experiments will determine to a large extent the accuracy with which the preference parameters can be estimated. This paper presents a new R package, called idefix, which enables users to generate optimal designs for discrete choice experiments. Besides Bayesian D-efficient designs for the multinomial logit model, the package includes functions to generate Bayesian adaptive designs which can be used to gather data for the mixed logit model. In addition, the package provides the necessary tools to set up actual surveys and collect empirical data. After data collection, idefix can be used to transform the data into the necessary format in order to use existing estimation software in R.
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来源期刊
Journal of Statistical Software
Journal of Statistical Software 工程技术-计算机:跨学科应用
CiteScore
10.70
自引率
1.70%
发文量
40
审稿时长
6-12 weeks
期刊介绍: The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.
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