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mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
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. (2019) <doi:10.3929/ethz-b-000334289>.
Getting started
Browse package contents
Package details |
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| Author | Joseph Molloy [aut, cre] |
| Maintainer | Joseph Molloy <joseph.molloy@ivt.baug.ethz.ch> |
| License | GPL (>= 2) |
| Version | 1.3.3 |
| URL | https://github.com/joemolloy/fast-mixed-mnl |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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