split_stage_random

Randomly assign some of the paths to a new stage.

internal

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

split_stage_random function

<dl><dt>object</dt>
<dd>an object of class <code>sevt</code>.</dd>
<dt>var</dt>
<dd>the variable name.</dd>
<dt>stage</dt>
<dd>the name of the stage.</dd>
<dt>p</dt>
<dd>probability to move a situation from the
original stage into the new stage.</dd></dl>

Arguments

Split randomly a stage — split_stage_random

<dl>

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


<dt>var</dt>
<dd>the variable name.</dd>


<dt>stage</dt>
<dd>the name of the stage.</dd>


<dt>p</dt>
<dd>probability to move a situation from the
original stage into the new stage.</dd>

</dl>

split_stage_random: Split randomly a stage

Description

Usage

Value

Arguments

Details