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This package estimates multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using “Preference” space or “Willingness-to-pay” (WTP) space utility parameterizations.

The latest version includes support for:

Note: MXL models assume uncorrelated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Kenneth Train’s book Discrete Choice Methods with Simulation, 2nd Edition (New York: Cambridge University Press, 2009).


The current version is not yet on CRAN, but you can install it from GitHub using the devtools library:


Load the library with:


Basic Usage

View the basic usage page for details on how to use logitr to estimate models.

Author, Version, and License Information

Citation Information

If you use this package for in a publication, I would greatly appreciate it if you cited it - you can get the citation by typing citation("logitr") into R:

#> To cite logitr in publications use:
#>   John Paul Helveston (2021). logitr: Random utility logit models with
#>   preference and willingness to pay space parameterizations. R package
#>   version 0.1.0.
#> A BibTeX entry for LaTeX users is
#>   @Manual{,
#>     title = {logitr: Random Utility Logit Models with Preference and Willingness to Pay Space Parameterizations},
#>     author = {John Paul Helveston},
#>     year = {2020},
#>     note = {R package version 0.1.0},
#>     url = {https://jhelvy.github.io/logitr/},
#>   }