rmatrix4nbn

returns a dimnamed matrix indicating with <code>rho</code> an arc from row
to column nodes (0 everywhere else) where <code>rho</code> is the
regression coefficient. Also conditional standard deviations can be
introduced as diagonal elements but <code>mu</code> coefficient are lost...
It is advisable to normalize the /nbn/ first.

Creation, manipulation, simulation of linear Gaussian Bayesian
networks from text files and more...

Marco Scutari

rbmn

Handling Linear Gaussian Bayesian Networks

rmatrix4nbn function

<dl><dt>nbn</dt>
<dd>The initial <code>nbn</code> object.</dd><dt>stdev</dt>
<dd>Indicates if the standard deviations must placed in the
diagonal positions.</dd></dl>

Arguments

regression matrix of a /nbn/ — rmatrix4nbn

<dl>

<dt>nbn</dt>
<dd>The initial <code>nbn</code> object.</dd>

<dt>stdev</dt>
<dd>Indicates if the standard deviations must placed in the
diagonal positions.</dd>

</dl>

rmatrix4nbn: regression matrix of a /nbn/

Description

Usage

Value

Arguments

Examples