Tools for marginalization, conditioning and fitting by maximum likelihood.

Graphical Markov Models with Mixed Graphs

package-ubuntu-20.04-r-4.0.5#cran#ggm-2.5

Given a matrix <code>M</code> find a matrix <code>N</code> such that 
N^T M is zero.

<table summary="R argblock"><tr valign="top">
<td><code>M</code></td>
<td>

A matrix.

</td>
</tr></table>

The matrix <code>N</code> with the basis for the null space, or an empty vector if 
the matrix <code>M</code> is square and of maximal rank.

<code><a href="../../MASS/html/Null.html">Null</a></code>, ~~~

package-ubuntu-20.04-r-4.0.5#cran#ggm-2.5#docs#null

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