rmvnorm

Creates a random Multivariate Normal when given number of obs, mean,
and sigma.

Jointly model the accuracy of cognitive responses and item choices
within a Bayesian hierarchical framework as described by Culpepper and
Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package
contains the datasets used within the analysis of the paper.

James Balamuta

cIRT

Choice Item Response Theory

Steven Andrew Culpepper

James Joseph Balamuta

rmvnorm function

<dl><dt>n</dt>
<dd>An <code>integer</code>, which gives the number of observations. (&gt; 0)</dd>
<dt>mu</dt>
<dd>A <code>vector</code> length m that represents the means of the normals.</dd>
<dt>S</dt>
<dd>A <code>matrix</code> with dimensions m x m that provides Sigma,
the covariance matrix.</dd></dl>

Arguments

Author

Generate Random Multivariate Normal Distribution — rmvnorm

<dl>

<dt>n</dt>
<dd>An <code>integer</code>, which gives the number of observations. (&gt; 0)</dd>


<dt>mu</dt>
<dd>A <code>vector</code> length m that represents the means of the normals.</dd>


<dt>S</dt>
<dd>A <code>matrix</code> with dimensions m x m that provides Sigma,
the covariance matrix.</dd>

</dl>

rmvnorm: Generate Random Multivariate Normal Distribution

Description

Usage

Value

Arguments

Author

See Also

Examples