Installation
About
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.
| Citation | mlogit citation info |
| cran.r-project.org/package=mlogit | |
| r-forge.r-project.org/projects/mlogit/ |
Key Metrics
Downloads
| Yesterday | 385 0% |
| Last 7 days | 1.928 -32% |
| Last 30 days | 9.782 -11% |
| Last 90 days | 31.102 -13% |
| Last 365 days | 145.264 +5% |