Pokemon

Demographic information of a population of possible Pokemon Go users.

datasets

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

Pokemon function

A data frame with 999 rows and 5 variables:<dl>
<dt>Use</dt>
<dd><code>Y</code> if the individual used the app, <code>N</code> otherwise</dd><dt>Age</dt>
<dd><code>&gt;30</code> if the individual is older than 30,
<code>&lt;=30</code> otherwise</dd><dt>Degree</dt>
<dd><code>Yes</code> if the individual completed a Higher
Education degree, <code>No</code> otherwise</dd><dt>Gender</dt>
<dd><code>Male</code> or <code>Female</code></dd><dt>Activity</dt>
<dd><code>Yes</code> if the individual was physically active
(i.e. had a walk longer than 30 mins, went for a run or
had a bike ride to get some exercise) in the past week
before the experiment, <code>No</code> otherwise</dd>
</dl>

Format

Pokemon Go Users — Pokemon

A data frame with 999 rows and 5 variables:<dl>
<dt>Use</dt>
<dd><code>Y</code> if the individual used the app, <code>N</code> otherwise</dd>

<dt>Age</dt>
<dd><code>&gt;30</code> if the individual is older than 30,
<code>&lt;=30</code> otherwise</dd>

<dt>Degree</dt>
<dd><code>Yes</code> if the individual completed a Higher
Education degree, <code>No</code> otherwise</dd>

<dt>Gender</dt>
<dd><code>Male</code> or <code>Female</code></dd>

<dt>Activity</dt>
<dd><code>Yes</code> if the individual was physically active
(i.e. had a walk longer than 30 mins, went for a run or
had a bike ride to get some exercise) in the past week
before the experiment, <code>No</code> otherwise</dd>


</dl>

Pokemon: Pokemon Go Users

Description

Usage

Arguments

Format

References