apollo_classAlloc

List of inputs of the MNL model. It should contain the following.<ul>
<li><code>V</code>: Named list of deterministic utilities . Utilities of the classes in class allocation model. Names of elements must match those in <code>avail</code>, if provided.</li>
<li><code>avail</code>: Named list of numeric vectors or scalars. Availabilities of classes in class allocation model, one element per class Names of elements must match those in <code>V</code>. Values can be 0 or 1.</li>
<li><code>rows</code>: Boolean vector. Consideration of rows in the likelihood calculation, FALSE to exclude. Length equal to the number of observations (nObs). Default is <code>"all"</code>, equivalent to <code>rep(TRUE, nObs)</code>.</li>
<li><code>componentName</code>: Character. Name given to model component.</li>
</ul>

classAlloc_settings

Calculates probabilities of a Multinomial Logit model.

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
<http://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.

apollo_classAlloc: Calculates Multinomial Logit probabilities

Description

Usage

Arguments

Value