choice_probabilities

This function returns the choice probabilities of an <code>RprobitB_fit</code>
object.

Bayes estimation of probit choice models in cross-sectional and panel
settings. The package can analyze binary, multivariate, ordered, and ranked
choices, as well as heterogeneity of choice behavior among deciders. The
main functionality includes model fitting via Gibbs sampling, tools for
convergence diagnostic, choice data simulation, in-sample and out-of-sample
choice prediction, and model selection using information criteria and Bayes
factors. The latent class model extension facilitates preference-based
decider classification, where the number of latent classes can be inferred
via the Dirichlet process or a weight-based updating heuristic. This allows
for flexible modeling of choice behavior without the need to impose
structural constraints. For a reference on the method, see Oelschlaeger and
Bauer (2021) <https://trid.trb.org/view/1759753>.

Lennart Oelschläger

RprobitB

Bayesian Probit Choice Modeling

Dietmar Bauer

choice_probabilities function

<dl><dt>x</dt>
<dd>An object of class <code>RprobitB_fit</code>.</dd>
<dt>data</dt>
<dd>Either <code>NULL</code> or an object of class <code>RprobitB_data</code>. In the former
case, choice probabilities are computed for the data that was used for model
fitting. Alternatively, a new data set can be provided.</dd>
<dt>par_set</dt>
<dd>Specifying the parameter set for calculation and either<ul>
<li>a function that computes a posterior point estimate (the default is
<code><a href="/link/mean()?package=RprobitB&version=1.2.0" data-mini-rdoc="RprobitB::mean()">mean()</a></code>),</li>
<li><code>"true"</code> to select the true parameter set,</li>
<li>an object of class <code>RprobitB_parameter</code>.</li>
</ul></dd></dl>

Arguments

Compute choice probabilities — choice_probabilities

<dl>

<dt>x</dt>
<dd>An object of class <code>RprobitB_fit</code>.</dd>


<dt>data</dt>
<dd>Either <code>NULL</code> or an object of class <code>RprobitB_data</code>. In the former
case, choice probabilities are computed for the data that was used for model
fitting. Alternatively, a new data set can be provided.</dd>


<dt>par_set</dt>
<dd>Specifying the parameter set for calculation and either<ul>
<li>a function that computes a posterior point estimate (the default is
<code><a href='https://rdrr.io/r/base/mean.html'>mean()</a></code>),</li>
<li><code>"true"</code> to select the true parameter set,</li>
<li>an object of class <code>RprobitB_parameter</code>.</li>
</ul></dd>

</dl>

choice_probabilities: Compute choice probabilities

Description

Usage

Value

Arguments

Examples