Transport

This is an artificial data set on
choice of means of transport based on cost and walking distance.

datasets

Provides estimators for multinomial logit models in their
conditional logit and baseline logit variants, with or without random effects,
with or without overdispersion.
Random effects models are estimated using the PQL technique (based on a Laplace approximation)
or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated
with caution if the group sizes are small.

Martin Elff

mclogit

Multinomial Logit Models, with or without Random Effects or
Overdispersion

Transport function

A data frame containing the following variables:
<dl>
	<dt>transport</dt>
<dd>means of transportation that can be chosen.</dd>	<dt>suburb</dt>
<dd>identifying number for each suburb</dd>	<dt>distance</dt>
<dd>walking distance to bus or train station</dd>	<dt>cost</dt>
<dd>cost of each means of transportation</dd>	<dt>working</dt>
<dd>size of working population of each suburb</dd>	<dt>prop.true</dt>
<dd>true choice probabilities</dd>	<dt>resp</dt>
<dd>choice frequencies of means of transportation</dd>
</dl>

Format

Choice of Means of Transport — Transport

A data frame containing the following variables:
<dl>
	<dt>transport</dt>
<dd>means of transportation that can be chosen.</dd>

	<dt>suburb</dt>
<dd>identifying number for each suburb</dd>

	<dt>distance</dt>
<dd>walking distance to bus or train station</dd>

	<dt>cost</dt>
<dd>cost of each means of transportation</dd>

	<dt>working</dt>
<dd>size of working population of each suburb</dd>

	<dt>prop.true</dt>
<dd>true choice probabilities</dd>

	<dt>resp</dt>
<dd>choice frequencies of means of transportation</dd>


</dl>

Transport: Choice of Means of Transport

Description

Usage

Arguments

Format