score

score.network

score.node

Accessor for the score from a node or network

models

Bayesian networks with continuous and/or discrete
variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), <doi:10.18637/jss.v008.i20>.

Claus Dethlefsen

deal

Learning Bayesian Networks with Mixed Variables

score function

<dl> <dt>x</dt>
<dd>an object of class <code>node</code> or <code>network</code>.</dd> <dt>...</dt>
<dd>additional arguments for specific methods.</dd></dl>

Arguments

Susanne Gammelgaard Bottcher, 
 Claus Dethlefsen <a href="/link/rpackage.deal%40gmail.com?package=deal&version=1.2-42" data-mini-rdoc="deal::rpackage.deal@gmail.com">rpackage.deal@gmail.com</a>.

Author

Network score — score

<dl>

 <dt>x</dt>
<dd>an object of class <code>node</code> or <code>network</code>.</dd>

 <dt>...</dt>
<dd>additional arguments for specific methods.</dd>

</dl>

Susanne Gammelgaard Bottcher, 
 Claus Dethlefsen <a href='mailto:rpackage.deal@gmail.com'>rpackage.deal@gmail.com</a>.

score: Network score

Description

Usage

Value

Arguments

Author