print8nbn

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

Marco Scutari

rbmn

Handling Linear Gaussian Bayesian Networks

print8nbn function

<dl><dt>nbn</dt>
<dd><code>nbn</code> object to be printed.</dd><dt>what</dt>
<dd>a <code>character(1)</code>; when comprising "p" the name of
each node with its parents are given, when comprising "r" the formula regression
of each node is given with the node, when comprising "m" the model is given.</dd><dt>digits</dt>
<dd>when not null, the number of digits for rounding.</dd><dt>ordering</dt>
<dd>Nodes are given following the indices of "ordering"
if <code>numeric</code> or the names if it is <code>character</code>. <code>NULL</code>
means the identity permutation. Repetitions or missing nodes are
accepted.</dd><dt>chk</dt>
<dd>Check of the consistency of 'nbn' be performed before printing.</dd></dl>

Arguments

print function for a /nbn/ object. — print8nbn

<dl>

<dt>nbn</dt>
<dd><code>nbn</code> object to be printed.</dd>

<dt>what</dt>
<dd>a <code>character(1)</code>; when comprising "p" the name of
each node with its parents are given, when comprising "r" the formula regression
of each node is given with the node, when comprising "m" the model is given.</dd>

<dt>digits</dt>
<dd>when not null, the number of digits for rounding.</dd>

<dt>ordering</dt>
<dd>Nodes are given following the indices of "ordering"
if <code>numeric</code> or the names if it is <code>character</code>. <code>NULL</code>
means the identity permutation. Repetitions or missing nodes are
accepted.</dd>

<dt>chk</dt>
<dd>Check of the consistency of 'nbn' be performed before printing.</dd>

</dl>

print8nbn: print function for a /nbn/ object.

Description

Usage

Value

Arguments

Examples