Estimation of Random Utility Models in R: The mlogit Package

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Statistical Software Pub Date : 2020-10-07 DOI:10.18637/jss.v095.i11
Y. Croissant
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引用次数: 96

Abstract

mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.
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随机实用模型在R中的估计:mlogit包
mlogit是一个用于R的软件包,它可以对具有选择情况和/或可选特定变量的随机实用新型进行估计。实现了基本多项式模型的主要扩展(异方差模型、嵌套模型和随机参数模型)。
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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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