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mixl  

Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mixl", "1.3.5")



Attach the package and use:
library("mixl")
Maintained by
Joseph Molloy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-06
Latest Update: 2025-05-16
Description:
Specification and estimation of multinomial logit models. Large datasets and complex models are supported, with an intuitive syntax. Multinomial Logit Models, Mixed models, random coefficients and Hybrid Choice are all supported. For more information, see Molloy et al. (2021) .
How to cite:
Joseph Molloy (2019). mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets. R package version 1.3.5, https://cran.r-project.org/web/packages/mixl. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 1.1.2 (2020-03-21 17:30), 1.1 (2019-11-06 17:30), 1.2.0 (2020-07-10 18:00), 1.2.1 (2020-07-12 00:00), 1.2.2 (2020-07-13 09:50), 1.2.3 (2020-10-21 08:50), 1.3.1 (2021-08-03 14:30), 1.3.2 (2021-09-20 16:00), 1.3.3 (2021-12-08 14:00), 1.3.4 (2024-02-07 13:10), 1.3 (2021-06-15 14:10)
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