apollo_validateData

Checks consistency of the database with <code>apollo_control</code>, sorts it by 
indivID, and adds an internal ID variable (<code>apollo_sequence</code>)

Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool 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.

Stephane Hess

apollo

Tools for Choice Model Estimation and Application

David Palma

Thomas Hancock

apollo_validateData function

<dl><dt>database</dt>
<dd>data.frame. Data used by model.</dd>
<dt>apollo_control</dt>
<dd>List. Options controlling the running of the code. See 
apollo_validateInputs.</dd>
<dt>silent</dt>
<dd>Boolean. TRUE to prevent the function from printing to the 
console. Default is FALSE.</dd></dl>

Arguments

Validates data — apollo_validateData

<dl>

<dt>database</dt>
<dd>data.frame. Data used by model.</dd>


<dt>apollo_control</dt>
<dd>List. Options controlling the running of the code. See 
apollo_validateInputs.</dd>


<dt>silent</dt>
<dd>Boolean. TRUE to prevent the function from printing to the 
console. Default is FALSE.</dd>

</dl>

apollo_validateData: Validates data

Description

Usage

Value

Arguments

Details