numbermixed

Calculates the number of different directed acyclic graphs
 for a set of discrete and continuous nodes.

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

numbermixed function

<dl> <dt>nd</dt>
<dd>an integer, which gives the number of discrete nodes.</dd> <dt>nc</dt>
<dd>an integer, which gives the number of continuous nodes.</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

The number of possible networks — numbermixed

<dl>

 <dt>nd</dt>
<dd>an integer, which gives the number of discrete nodes.</dd>

 <dt>nc</dt>
<dd>an integer, which gives the number of continuous nodes.</dd>

</dl>

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

numbermixed: The number of possible networks

Description

Usage

Value

Arguments

Author

Details

References

Examples