# logitr

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:

- 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 (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.
- Simulating the expected shares of a set of alternatives using 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

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

`devtools::install_github("jhelvy/logitr")`

Load the library with:

## Basic Usage

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

- Author:
*John Paul Helveston* www.jhelvy.com
- Date First Written:
*Sunday, September 28, 2014*
- Most Recent Update: January 14, 2021
- License: MIT

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: 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/},
#> }
```