travel

<code>travel</code> is a <code>bn.fit</code> object for the Bayesian network on a traveling preferences survey.

datasets

An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.

Manuele Leonelli

bnmonitor

An Implementation of Sensitivity Analysis in Bayesian Networks

Ramsiya Ramanathan

Rachel Wilkerson

travel function

The Bayesian network <code>travel</code> includes the following nodes:<ul>
<li>A: three-level factor with levels <code>young</code>, <code>adult</code>, <code>old</code>. It indicates the age of an individual.</li>
<li>S: two level-factor with levels <code>M</code> (male) and <code>F</code> (female). It indicates the gender of an individual.</li>
<li>E: two level-factor with levels <code>high</code> and <code>uni</code>. It indicates the education level of an individual.</li>
<li>O: two level-factor with levels <code>emp</code> (employed) and <code>self</code> (self-employed). It indicates the occupation of an individual.</li>
<li>R: two level-factor with levels <code>small</code> and <code>big</code>. It indicates the size of the residence of an individual.</li>
<li>T: three level-factor with levels <code>car</code>, <code>train</code> and <code>other</code>. It indicates the preferred mean of transportation by an individual.</li>
</ul>

travel: Bayesian network on travel survey

Description

Usage

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Format