print.sevt

Creates and fits staged event tree probability models,
which are probabilistic graphical models capable of representing
asymmetric conditional independence statements
for categorical variables.
Includes functions to create, plot and fit staged
event trees from data, as well as many efficient structure
learning algorithms.
References:
Carli F, Leonelli M, Riccomagno E, Varando G (2022).
<doi: 10.18637/jss.v102.i06>.
Collazo R. A., Görgen C. and Smith J. Q.
(2018, ISBN:9781498729604).
Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018)
<arXiv:1705.09457>.
Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>.
Barclay L. M., Hutton J. L. and Smith J. Q. (2013)
<doi:10.1016/j.ijar.2013.05.006>.
Smith J. Q. and Anderson P. E. (2008)
<doi:10.1016/j.artint.2007.05.004>.

Gherardo Varando

stagedtrees

Staged Event Trees

Federico Carli

Manuele Leonelli

Eva Riccomagno

print.sevt function

<dl><dt>x</dt>
<dd>an object of class <code>sevt</code>.</dd>
<dt>...</dt>
<dd>additional parameters (compatibility).</dd>
<dt>max</dt>
<dd>integer, limit on the numebr of variables to print.</dd></dl>

Arguments

Print a staged event tree — print.sevt

<dl>

<dt>x</dt>
<dd>an object of class <code>sevt</code>.</dd>


<dt>...</dt>
<dd>additional parameters (compatibility).</dd>


<dt>max</dt>
<dd>integer, limit on the numebr of variables to print.</dd>

</dl>

print.sevt: Print a staged event tree

Description

Usage

Value

Arguments

Details

Examples