print.hIRT

Printing an object of class <code>hIRT</code>

Implementation of a class of hierarchical item response
theory (IRT) models where both the mean and the variance of latent preferences
(ability parameters) may depend on observed covariates. The current
implementation includes both the two-parameter latent trait model for binary data and the
graded response model for ordinal data. Both are fitted via the Expectation-Maximization (EM)
algorithm. Asymptotic standard errors are derived from the observed information
matrix. See Zhou (2019) <doi:10.1017/pan.2018.63> for details.

Xiang Zhou

hIRT

Hierarchical Item Response Theory Models

print.hIRT function

<dl><dt>x</dt>
<dd>An object of class <code>hIRT</code></dd>
<dt>digits</dt>
<dd>The number of significant digits to use when printing</dd>
<dt>...</dt>
<dd>further arguments passed to <code><a href="/link/print?package=hIRT&version=0.4.0" data-mini-rdoc="hIRT::print">print</a></code>.</dd></dl>

Arguments

Printing an object of class hIRT — print.hIRT

<dl>

<dt>x</dt>
<dd>An object of class <code>hIRT</code></dd>


<dt>digits</dt>
<dd>The number of significant digits to use when printing</dd>


<dt>...</dt>
<dd>further arguments passed to <code><a href='https://rdrr.io/r/base/print.html'>print</a></code>.</dd>

</dl>

print.hIRT: Printing an object of class `hIRT`

Description

Usage

Value

Arguments