as_adj_matrix

as_adj_matrix.parentslist

as_adj_matrix.ceg

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

as_adj_matrix function

<dl><dt>x</dt>
<dd>an R object</dd>
<dt>...</dt>
<dd>additional parameters</dd>
<dt>ignore</dt>
<dd>list of stages to be ignored.</dd>
<dt>endnode</dt>
<dd>logical value. If <code>TRUE</code> a final node fil be added.</dd></dl>

Arguments

Convert to an adjacency matrix — as_adj_matrix

<dl>

<dt>x</dt>
<dd>an R object</dd>


<dt>...</dt>
<dd>additional parameters</dd>


<dt>ignore</dt>
<dd>list of stages to be ignored.</dd>


<dt>endnode</dt>
<dd>logical value. If <code>TRUE</code> a final node fil be added.</dd>

</dl>

Convert to an adjacency matrix

as_adj_matrix: Convert to an adjacency matrix

Description

Usage

Value

Arguments