r-mlogit
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2012) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
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Summary
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2012) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
Last Updated
Jun 20, 2019 at 14:05
License
GPL (>= 2)
Total Downloads
131.5K
Supported Platforms
noarch
Unsupported Platforms
linux-64 Last supported version: 0.3_0
win-64 Last supported version: 0.2_4
macOS-64 Last supported version: 0.2_4