diff8nbn

Returns a positive scalar value measuring, in some way, the
difference existing within two /nbn/s sharing the same structure.

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

Marco Scutari

rbmn

Handling Linear Gaussian Bayesian Networks

diff8nbn function

<dl><dt>nbn1</dt>
<dd>First <code>nbn</code> object.</dd><dt>nbn2</dt>
<dd>Second <code>nbn</code> object.</dd><dt>type</dt>
<dd>When 1, the score includes the difference between the
sigmas. When -1, sigmas are not taken into account.</dd><dt>scalar</dt>
<dd>When <code>TRUE</code> the squared norm is returned, if not
the vector of difference.</dd></dl>

Arguments

Returns a positive scalar value measuring, in some way, the
difference existing within two /nbn/s sharing the same structure.

returns a score of the difference between two /nbn/s — diff8nbn

<dl>

<dt>nbn1</dt>
<dd>First <code>nbn</code> object.</dd>

<dt>nbn2</dt>
<dd>Second <code>nbn</code> object.</dd>

<dt>type</dt>
<dd>When 1, the score includes the difference between the
sigmas. When -1, sigmas are not taken into account.</dd>

<dt>scalar</dt>
<dd>When <code>TRUE</code> the squared norm is returned, if not
the vector of difference.</dd>

</dl>

diff8nbn: returns a score of the difference between two /nbn/s

Description

Usage

Value

Arguments

Details

Examples