Estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingnesstopay" (WTP) space utility parameterizations. An option is available to run a multistart optimization loop with random starting points in each iteration, which is useful for nonconvex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative loglikelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for simulating the expected shares of a set of alternatives using an estimated model. MXL models assume uncorrelated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) "Discrete Choice Methods with Simulation, 2nd Edition" <doi:10.1017/CBO9780511805271>.
Package details 


Maintainer  
License  MIT + file LICENSE 
Version  0.1.3.9001 
URL  https://github.com/jhelvy/logitr 
Package repository  View on GitHub 
Installation 
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