generate_Z

Generate a row-wise stacked boolean partition matrix of JI rows and K columns

Estimates previously compiled state-space modeling for mouse-tracking experiments using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.

Antonio Calcagnc3<ac>

ssMousetrack

Bayesian State-Space Modeling of Mouse-Tracking Experiments via
Stan

Antonio Calcagnì

Massimiliano Pastore

generate_Z function

<dl><dt>I</dt>
<dd>(integer) number of individuals</dd>
<dt>J</dt>
<dd>(integer) number of trials</dd>
<dt>K</dt>
<dd>(integer) number of levels for a categorical variables</dd>
<dt>type</dt>
<dd>(character) method to generate the matrix: symmetric (default) or random</dd></dl>

Arguments

Generate a row-wise stacked boolean partition matrix of JI rows and K columns — generate_Z

<dl>

<dt>I</dt>
<dd>(integer) number of individuals</dd>


<dt>J</dt>
<dd>(integer) number of trials</dd>


<dt>K</dt>
<dd>(integer) number of levels for a categorical variables</dd>


<dt>type</dt>
<dd>(character) method to generate the matrix: symmetric (default) or random</dd>

</dl>

generate_Z: Generate a row-wise stacked boolean partition matrix of JI rows and K columns

Description

Usage

Value

Arguments

Details

Examples