compute_choice_probabilities

This is a helper function for <code>choice_probabilities</code> and computes
the probit choice probabilities for a single choice situation with <code>J</code>
alternatives.

internal

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

compute_choice_probabilities function

<dl><dt>X</dt>
<dd>A matrix of covariates with <code>J</code> rows and <code>P_f + P_r</code> columns, where
the first <code>P_f</code> columns are connected to fixed coefficients and the last
<code>P_r</code> columns are connected to random coefficients.</dd>
<dt>alternatives</dt>
<dd>A vector with unique integers from <code>1</code> to <code>J</code>, indicating the
alternatives for which choice probabilities are to be computed.</dd>
<dt>parameter</dt>
<dd>An object of class <code>RprobitB_parameter</code>.</dd>
<dt>ordered</dt>
<dd>[<code>logical(1)</code>] 
If <code>TRUE</code>, the choice set <code>alternatives</code> is assumed to be ordered
from worst to best.</dd></dl>

Arguments

Compute probit choice probabilities — compute_choice_probabilities

<dl>

<dt>X</dt>
<dd>A matrix of covariates with <code>J</code> rows and <code>P_f + P_r</code> columns, where
the first <code>P_f</code> columns are connected to fixed coefficients and the last
<code>P_r</code> columns are connected to random coefficients.</dd>


<dt>alternatives</dt>
<dd>A vector with unique integers from <code>1</code> to <code>J</code>, indicating the
alternatives for which choice probabilities are to be computed.</dd>


<dt>parameter</dt>
<dd>An object of class <code>RprobitB_parameter</code>.</dd>


<dt>ordered</dt>
<dd>[<code>logical(1)</code>] 
If <code>TRUE</code>, the choice set <code>alternatives</code> is assumed to be ordered
from worst to best.</dd>

</dl>

compute_choice_probabilities: Compute probit choice probabilities

Description

Usage

Value

Arguments