data_criminal_sim

Simulated dataset about crimes committed by a cohort of subjects.

datasets

Fit certain versions of the Latent Markov model for longitudinal categorical data.

Francesco Bartolucci

LMest

Latent Markov Models with and without Covariates

data_criminal_sim function

A data frame with 60000 observations on the following 13 variables.<dl class="dl-horizontal">
 <dt><code>id</code>		</dt><dd>subject id</dd>
 <dt><code>sex</code> 	</dt><dd>gender of the subject</dd>
 <dt><code>time</code> 	</dt><dd>occasion of observation</dd>
 <dt><code>y1</code> 		</dt><dd>crime of type 1</dd>
 <dt><code>y2</code> 		</dt><dd>crime of type 2</dd>
 <dt><code>y3</code> 		</dt><dd>crime of type 3</dd>
 <dt><code>y4</code> 		</dt><dd>crime of type 4</dd>
 <dt><code>y5</code> 		</dt><dd>crime of type 5</dd>
 <dt><code>y6</code> 		</dt><dd>crime of type 6</dd>
 <dt><code>y7</code> 		</dt><dd>crime of type 7</dd>
 <dt><code>y8</code> 		</dt><dd>crime of type 8</dd>
 <dt><code>y9</code> 		</dt><dd>crime of type 9</dd>
 <dt><code>y10</code> 	</dt><dd>crime of type 10</dd>
 </dl>

Format

Criminal dataset — data_criminal_sim

A data frame with 60000 observations on the following 13 variables.<dl class='dl-horizontal'>
 <dt><code>id</code>		</dt><dd>subject id</dd>
 <dt><code>sex</code> 	</dt><dd>gender of the subject</dd>
 <dt><code>time</code> 	</dt><dd>occasion of observation</dd>
 <dt><code>y1</code> 		</dt><dd>crime of type 1</dd>
 <dt><code>y2</code> 		</dt><dd>crime of type 2</dd>
 <dt><code>y3</code> 		</dt><dd>crime of type 3</dd>
 <dt><code>y4</code> 		</dt><dd>crime of type 4</dd>
 <dt><code>y5</code> 		</dt><dd>crime of type 5</dd>
 <dt><code>y6</code> 		</dt><dd>crime of type 6</dd>
 <dt><code>y7</code> 		</dt><dd>crime of type 7</dd>
 <dt><code>y8</code> 		</dt><dd>crime of type 8</dd>
 <dt><code>y9</code> 		</dt><dd>crime of type 9</dd>
 <dt><code>y10</code> 	</dt><dd>crime of type 10</dd>
 </dl>

data_criminal_sim: Criminal dataset

Description

Usage

Arguments

Format

References

Examples