generate_random_dataset

Randomly generate a data.frame of independent binary variables.

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

generate_random_dataset function

<dl><dt>p</dt>
<dd>number of variables.</dd>
<dt>n</dt>
<dd>number of observations.</dd></dl>

Arguments

Generate a random binary dataset — generate_random_dataset

<dl>

<dt>p</dt>
<dd>number of variables.</dd>


<dt>n</dt>
<dd>number of observations.</dd>

</dl>

generate_random_dataset: Generate a random binary dataset

Description

Usage

Value

Arguments

Examples