sample_from

an object of class <code>sevt</code> with fitted probabilities.

object

nsim

an object specifying if and how the random number generator
should be initialized (&lt;U+2018&gt;seeded&lt;U+2019&gt;). Either NULL or an integer
that will be used in a call to set.seed.

seed

Generate a random sample from the distribution encoded
in a staged event tree object.

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:
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

sample_from function

<dl><dt>object</dt>
<dd>an object of class <code>sevt</code> with fitted probabilities.</dd>
<dt>nsim</dt>
<dd>number of observations to sample.</dd>
<dt>seed</dt>
<dd>an object specifying if and how the random number generator
should be initialized (‘seeded’). Either NULL or an integer
that will be used in a call to set.seed.</dd></dl>

Arguments

Sample from a staged event tree — sample_from

<dl>

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


<dt>nsim</dt>
<dd>number of observations to sample.</dd>


<dt>seed</dt>
<dd>an object specifying if and how the random number generator
should be initialized (‘seeded’). Either NULL or an integer
that will be used in a call to set.seed.</dd>

</dl>

sample_from: Sample from a staged event tree

Description

Usage

Value

Arguments

Details

Examples