r-mlogit
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
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noarch/r-mlogit-1.1_1-r43h6115d3f_0.tar.bz2 | conda | 1.1_1 | noarch | main | Jan 16, 2024, 10:14 PM | 853.34 KB | 47 | |
noarch/r-mlogit-1.1_1-r42h6115d3f_0.tar.bz2 | conda | 1.1_1 | noarch | main | Jun 27, 2022, 08:03 PM | 853.13 KB | 102 |