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mlogit  

Multinomial Logit Models
View on CRAN: Click here


Download and install mlogit package within the R console
Install from CRAN:
install.packages("mlogit")

Install from Github:
library("remotes")
install_github("cran/mlogit")

Install by package version:
library("remotes")
install_version("mlogit", "1.1-1")



Attach the package and use:
library("mlogit")
Maintained by
Yves Croissant
[Scholar Profile | Author Map]
First Published: 2008-05-16
Latest Update: 2020-10-02
Description:
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) and the underlying methods in Train (2009) .
How to cite:
Yves Croissant (2008). mlogit: Multinomial Logit Models. R package version 1.1-1, https://cran.r-project.org/web/packages/mlogit. Accessed 31 Mar. 2025.
Previous versions and publish date:
0.1-0 (2008-05-16 23:05), 0.1-1 (2008-08-27 15:09), 0.1-2 (2008-12-19 20:55), 0.1-3 (2010-01-26 14:46), 0.1-4 (2010-01-27 11:51), 0.1-5 (2010-03-25 07:03), 0.1-6 (2010-04-16 11:51), 0.1-7 (2010-04-18 19:37), 0.1-8 (2010-07-24 22:21), 0.2-0 (2011-01-13 08:20), 0.2-1 (2011-02-06 10:49), 0.2-2 (2011-11-23 17:04), 0.2-3 (2012-12-07 13:29), 0.2-4 (2013-12-27 13:28), 0.3-0 (2018-04-20 14:35), 0.4-0 (2019-01-31 11:10), 0.4-1 (2019-02-01 23:10), 0.4-2 (2019-06-03 16:50), 1.0-0 (2019-07-21 13:30), 1.0-1 (2019-07-22 13:00), 1.0-2.1 (2020-02-16 13:11), 1.0-2 (2019-12-09 09:30), 1.0-3.1 (2020-03-12 07:30), 1.0-3 (2020-03-07 07:00), 1.1-0 (2020-05-26 11:50)
Other packages that cited mlogit R package
View mlogit citation profile
Other R packages that mlogit depends, imports, suggests or enhances
Complete documentation for mlogit
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