apollo_choiceAnalysis

List containing settings for this function. The settings must be:<ul>
<li>alternatives: Named numeric vector. Names of alternatives and their corresponding value in <code>choiceVar</code>.</li>
<li>avail: Named list of numeric vectors or scalars. Availabilities of alternatives, one element per alternative. Names of elements must match those in <code>alternatives</code>. Values can be 0 or 1.</li>
<li>choiceVar: Numeric vector. Contains choices for all observations. It will usually be a column from the database. Values are defined in <code>alternatives</code>.</li>
<li>explanators: data.frame. Variables determining subsamples of the database. Values in each column must describe a group or groups of individuals (e.g. socio-demographics). Most usually a subset of columns from database.</li>
</ul>

choiceAnalysis_settings

List. Options controlling the running of the code. See <a rd-options="" href="/link/apollo_validateInputs?package=apollo&version=0.0.7" data-mini-rdoc="apollo::apollo_validateInputs">apollo_validateInputs</a>.

apollo_control

database

Compares market shares across subsamples in dataset, and writes results to a file.

The Choice Modelling Centre (CMC) at the University of Leeds
has developed flexible code for the estimation and application
of choice models in R. Users are able to write their own
model functions or use a mix of already available ones. Random heterogeneity,
both continuous and discrete and at the level of individuals and
choices, can be incorporated for all models. There is support for both standalone
models and hybrid model structures. Both classical
and Bayesian estimation is available, and multiple discrete
continuous models are covered in addition to discrete choice.
Multi-threading processing is supported for estimation and a large
number of pre and post-estimation routines, including for computing posterior
(individual-level) distributions are available.
For examples, a manual, and a support forum, visit
www.ApolloChoiceModelling.com. For more information on choice
models see Train, K. (2009) <isbn:978-0-521-74738-7> and Hess,
S. & Daly, A.J. (2014) <isbn:978-1-781-00314-5> for an overview
of the field.

David Palma

apollo

Tools for Choice Model Estimation and Application

Stephane Hess

apollo_choiceAnalysis function

List. Options controlling the running of the code. See <a rd-options='' href='apollo_validateInputs'>apollo_validateInputs</a>.

apollo_choiceAnalysis: Reports market share for subsamples

Description

Usage

Arguments

Value

Details