train_choice

Data set of 2929 stated choices by 235 Dutch individuals deciding between
two virtual train trip options <code>"A"</code> and <code>"B"</code> based on the price,
the travel time, the number of rail-to-rail transfers (changes), and the
level of comfort.
The data were obtained in 1987 by Hague Consulting Group for the National
Dutch Railways. Prices were recorded in Dutch guilder and in this data set
transformed to Euro at an exchange rate of 2.20371 guilders = 1 Euro.

dataset

Bayes estimation of probit choice models in cross-sectional and panel
settings. The package can analyze binary, multivariate, ordered, and ranked
choices, as well as heterogeneity of choice behavior among deciders. The
main functionality includes model fitting via Gibbs sampling, tools for
convergence diagnostic, choice data simulation, in-sample and out-of-sample
choice prediction, and model selection using information criteria and Bayes
factors. The latent class model extension facilitates preference-based
decider classification, where the number of latent classes can be inferred
via the Dirichlet process or a weight-based updating heuristic. This allows
for flexible modeling of choice behavior without the need to impose
structural constraints. For a reference on the method, see Oelschlaeger and
Bauer (2021) <https://trid.trb.org/view/1759753>.

Lennart Oelschläger

RprobitB

Bayesian Probit Choice Modeling

Dietmar Bauer

train_choice function

A <code>data.frame</code> with 2929 rows and 11 columns:<dl>
<dt>deciderID</dt>
<dd><code>integer</code> identifier for the decider</dd><dt>occasionID</dt>
<dd><code>integer</code> identifier for the choice occasion</dd><dt>choice</dt>
<dd><code>character</code> for the chosen alternative (either <code>"A"</code> or <code>"B"</code>)</dd><dt>price_A</dt>
<dd><code>numeric</code> price for alternative <code>"A"</code> in Euro</dd><dt>time_A</dt>
<dd><code>numeric</code> travel time for alternative <code>"A"</code> in hours</dd><dt>change_A</dt>
<dd><code>integer</code> number of changes for alternative <code>"A"</code></dd><dt>comfort_A</dt>
<dd><code>integer</code> comfort level (in decreasing comfort order) for alternative <code>"A"</code></dd><dt>price_B</dt>
<dd><code>numeric</code> price for alternative <code>"B"</code> in Euro</dd><dt>time_B</dt>
<dd><code>numeric</code> travel time for alternative <code>"B"</code> in hours</dd><dt>change_B</dt>
<dd><code>integer</code> number of changes for alternative <code>"B"</code></dd><dt>comfort_B</dt>
<dd><code>integer</code> comfort level (in decreasing comfort order) for alternative <code>"B"</code></dd>
</dl>

Format

Stated Preferences for Train Traveling — train_choice

A <code>data.frame</code> with 2929 rows and 11 columns:<dl>
<dt>deciderID</dt>
<dd><code>integer</code> identifier for the decider</dd>

<dt>occasionID</dt>
<dd><code>integer</code> identifier for the choice occasion</dd>

<dt>choice</dt>
<dd><code>character</code> for the chosen alternative (either <code>"A"</code> or <code>"B"</code>)</dd>

<dt>price_A</dt>
<dd><code>numeric</code> price for alternative <code>"A"</code> in Euro</dd>

<dt>time_A</dt>
<dd><code>numeric</code> travel time for alternative <code>"A"</code> in hours</dd>

<dt>change_A</dt>
<dd><code>integer</code> number of changes for alternative <code>"A"</code></dd>

<dt>comfort_A</dt>
<dd><code>integer</code> comfort level (in decreasing comfort order) for alternative <code>"A"</code></dd>

<dt>price_B</dt>
<dd><code>numeric</code> price for alternative <code>"B"</code> in Euro</dd>

<dt>time_B</dt>
<dd><code>numeric</code> travel time for alternative <code>"B"</code> in hours</dd>

<dt>change_B</dt>
<dd><code>integer</code> number of changes for alternative <code>"B"</code></dd>

<dt>comfort_B</dt>
<dd><code>integer</code> comfort level (in decreasing comfort order) for alternative <code>"B"</code></dd>


</dl>

train_choice: Stated Preferences for Train Traveling

Description

Usage

Arguments

Format

References