knitr::opts_chunk$set( collapse = TRUE, warning = FALSE, message = FALSE, comment = "#>", fig.path = "man/figures/", fig.retina = 3 )
logitr: Fast Estimation of Multinomial (MNL) and Mixed Logit (MXL) Models with Preference Space and Willingness to Pay Space Utility Parameterizations
The latest version includes support for:
Mixed logit models 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).
View the basic usage page for details on how to use logitr to estimate models.
An associated paper in the Journal of Statistical Software about this package is available at https://doi.org/10.18637/jss.v105.i10
If you use this package for in a publication, please cite the JSS article associated with it! You can get the citation by typing citation("logitr")
into R:
citation("logitr")
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