coef.RprobitB_fit

print.RprobitB_coef

plot.RprobitB_coef

This function extracts the estimated model effects.

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

coef.RprobitB_fit function

<dl><dt>object</dt>
<dd>An object of class <code>RprobitB_fit</code>.</dd>
<dt>...</dt>
<dd>Currently not used.</dd>
<dt>x</dt>
<dd>An object of class <code>RprobitB_coef</code>.</dd>
<dt>sd</dt>
<dd>The number of standard deviations to display.</dd>
<dt>het</dt>
<dd>Set to <code>FALSE</code> to show the standard deviation of the estimate.
Set to <code>TRUE</code> to show the standard deviation of the mixing distribution.</dd></dl>

Arguments

Extract model effects — coef.RprobitB_fit

<dl>

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


<dt>...</dt>
<dd>Currently not used.</dd>


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


<dt>sd</dt>
<dd>The number of standard deviations to display.</dd>


<dt>het</dt>
<dd>Set to <code>FALSE</code> to show the standard deviation of the estimate.
Set to <code>TRUE</code> to show the standard deviation of the mixing distribution.</dd>

</dl>

coef.RprobitB_fit: Extract model effects

Description

Usage

Value

Arguments