logLik.sevt

Compute, or extract the log-likelihood of a staged event tree.

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

logLik.sevt function

<dl><dt>object</dt>
<dd>an fitted object of class <code>sevt</code>.</dd>
<dt>...</dt>
<dd>additional parameters (compatibility).</dd></dl>

Arguments

Log-Likelihood of a staged event tree — logLik.sevt

<dl>

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


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

</dl>

logLik.sevt: Log-Likelihood of a staged event tree

Description

Usage

Value

Arguments

Examples