apollo_combineResults

List of options. It can include the following.<ul>
<li>modelNames: Character vector. List of names of models to combine. Use an empty vector to combine results from all models in the directory.</li>
<li>printClassical: Boolean. TRUE for printing classical standard errors. TRUE by default.</li>
<li>printPVal: Boolean. TRUE for printing p-values. FALSE by default.</li>
<li>printT1: Boolean. If TRUE, t-test for H0: apollo_beta=1 are printed. FALSE by default.</li>
<li>estimateDigits: Numeric scalar. Number of decimal places to print for estimates. Default is 4.</li>
<li>tDigits: Numeric scalar. Number of decimal places to print for t-ratios values. Default is 2.</li>
<li>pDigits: Numeric scalar. Number of decimal places to print for p-values. Default is 2.</li>
<li>sortByDate: Boolean. If TRUE, models are ordered by date.</li>
</ul>

combineResults_settings

Writes results from various models to a single CSV 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.

apollo_combineResults: Write model results to file

Description

Usage

Arguments

Value