随机实用模型在R中的估计:mlogit包

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

引用次数: 96

摘要

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)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of Random Utility Models in R: The mlogit Package

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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来源期刊

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

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.