runtimes

<p>This data frame contains the run times for a benchmark comparing the
relative computation time to estimate a preference space mixed logit model
using the following R packages: logitr, mixl, mlogit, gmnl, and
apollo. The run times are exported from the Google colab notebook here:
https://colab.research.google.com/drive/1vYlBdJd4xCV43UwJ33XXpO3Ys8xWkuxx?usp=sharing</p>

datasets

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a parallelized multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. Mixed logit models can include uncorrelated or correlated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. More details can be found in Helveston (2023) <doi:10.18637/jss.v105.i10>.

John Helveston

logitr

Logit Models w/Preference & WTP Space Utility Parameterizations

Connor Forsythe

runtimes function


<table class="table">
<tr><td>Variable</td><td>Description</td></tr>
<tr><td><code>package</code></td><td>Package name.</td></tr>
<tr><td><code>time_sec</code></td><td>The estimation time in seconds.</td></tr>
<tr><td><code>numDraws</code></td><td>The number of random draws used during estimation.</td></tr>
</table><p></p><p></p>

Format

Data frame of run times for logitr benchmark — runtimes


<table class='table'>
<tr><td>Variable</td><td>Description</td></tr>
<tr><td><code>package</code></td><td>Package name.</td></tr>
<tr><td><code>time_sec</code></td><td>The estimation time in seconds.</td></tr>
<tr><td><code>numDraws</code></td><td>The number of random draws used during estimation.</td></tr>
</table>



runtimes: Data frame of run times for logitr benchmark

Description

Usage

Arguments

Format

Examples

Variable	Description
`package`	Package name.
`time_sec`	The estimation time in seconds.
`numDraws`	The number of random draws used during estimation.