logitr

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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:

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).

Installation

You can install {logitr} from CRAN:

install.packages("logitr")

or you can install the development version of {logitr} from GitHub:

# install.packages("remotes")
remotes::install_github("jhelvy/logitr")

Load the library with:

library(logitr)

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:

citation("logitr")
#> 
#> To cite logitr in publications use:
#> 
#>   John Paul Helveston (2021). logitr: Fast Estimation of Multinomial
#>   and Mixed Logit Models with Preference Space and Willingness to Pay
#>   Space Utility Parameterizations. R package version 0.5.0
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness to Pay Space Utility Parameterizations},
#>     author = {John Paul Helveston},
#>     year = {2021},
#>     note = {R package version 0.5.0},
#>     url = {https://jhelvy.github.io/logitr/},
#>   }