apollo_lrTest

Character. Name of a previously estimated model whose results were written to disk by <a rd-options="" href="/link/apollo_saveOutput?package=apollo&version=0.1.0" data-mini-rdoc="apollo::apollo_saveOutput">apollo_saveOutput</a>.
This is the restricted model, i.e. the one with fewer parameters.

baseModel

Either a character variable with the name of a previously estimated model, or an estimated model in memory, as
returned by <a rd-options="" href="/link/apollo_estimate?package=apollo&version=0.1.0" data-mini-rdoc="apollo::apollo_estimate">apollo_estimate</a>. This model nests <code>baseModel</code>, and it should have more parameters than it.

generalModel

Calculates the likelihood ratio test and prints result.

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_lrTest function

Character. Name of a previously estimated model whose results were written to disk by <a rd-options='' href='apollo_saveOutput'>apollo_saveOutput</a>.
This is the restricted model, i.e. the one with fewer parameters.

Either a character variable with the name of a previously estimated model, or an estimated model in memory, as
returned by <a rd-options='' href='apollo_estimate'>apollo_estimate</a>. This model nests <code>baseModel</code>, and it should have more parameters than it.

apollo_lrTest: Likelihood ratio test

Description

Usage

Arguments

Value