logitr

Estimation of multinomial (MNL) and mixed logit (MXL) models in R with “Preference” space or “Willingness-to-pay” (WTP) space utility parameterizations.

The latest version includes support for:

• Homogeneous multinomial logit (MNL) models
• Heterogeneous mixed logit (MXL) models (with normal and log-normal parameter distributions).
• Preference space utility parameterization.
• WTP space utility parameterization.
• An option to run a multistart optimization loop that uses different random starting points in each iteration to search for different local minima (useful for non-convex problems like MXL models or models with WTP space parameterizations).
• Computing and comparing WTP from both preference space and WTP space models.
• Support for weighted models to differentially weight individual choice observations.
• Functions for predicting expected choices and choice probabilities for a set (or multiple sets) of alternatives based on an estimated model.

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

• Author: John Paul Helveston https://www.jhelvy.com/
• Date First Written: Sunday, September 28, 2014
• Most Recent Update: June 10, 2021
• License: MIT

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 and Connor Forsythe (2021). logitr: Random
#>   utility logit models with preference and willingness to pay space
#>   parameterizations. R package version 0.2.0.
#> 
#> 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 = {2021},
#>     note = {R package version 0.2.0},
#>     url = {https://jhelvy.github.io/logitr/},
#>   }