join_positions

join positions in a staged tree model

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

join_positions function

<dl><dt>model</dt>
<dd>an object of class <code>sevt</code>.</dd>
<dt>var</dt>
<dd>the name of a variable in the model.</dd>
<dt>s1</dt>
<dd>stage to join</dd>
<dt>s2</dt>
<dd>stage to join</dd></dl>

Arguments

join positions in a staged tree model — join_positions

<dl>

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


<dt>var</dt>
<dd>the name of a variable in the model.</dd>


<dt>s1</dt>
<dd>stage to join</dd>


<dt>s2</dt>
<dd>stage to join</dd>

</dl>

join_positions: join positions in a staged tree model

Description

Usage

Arguments

Details