Estimation of Random Utility Models in R: The mlogit Package
Dublin Core
Title
Estimation of Random Utility Models in R: The mlogit Package
Subject
discrete choice models, maximum likelihood estimation, R, econometrics.
Description
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.
choice situation and/or alternative specific variables. The main extensions of the basic
multinomial model (heteroscedastic, nested and random parameter models) are implemented.
Creator
Yves Croissant
Source
https://www.jstatsoft.org/article/view/v095i11
Publisher
CEMOI – Université de la Réunion
Date
October 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Yves Croissant, “Estimation of Random Utility Models in R: The mlogit Package,” Repository Horizon University Indonesia, accessed April 11, 2025, https://repository.horizon.ac.id/items/show/8161.