print.mirt_df

Provides a nicer output for most printed <code>data.frame</code> objects
defined by functions in <code>mirt</code>.

Analysis of discrete response data using
unidimensional and multidimensional item analysis models under the Item
Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>).
Exploratory and confirmatory item factor analysis models
are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
bi-factor and two-tier models are available for modeling item testlets using
dimension reduction EM algorithms, while multiple group analyses and
mixed effects designs are included for detecting differential item, bundle,
and test functioning, and for modeling item and person covariates.
Finally, latent class models such as the DINA, DINO, multidimensional latent class,
mixture IRT models, and zero-inflated response models are supported.

Phil Chalmers

mirt

Multidimensional Item Response Theory

Joshua Pritikin

Alexander Robitzsch

Mateusz Zoltak

KwonHyun Kim

Carl F. Falk

Adam Meade

Lennart Schneider

David King

Chen-Wei Liu

Ogreden Oguzhan

print.mirt_df function

<dl><dt>x</dt>
<dd>object of class <code>'mirt_df'</code></dd>
<dt>digits</dt>
<dd>number of digits to round</dd>
<dt>...</dt>
<dd>additional arguments passed to <code>print(...)</code></dd></dl>

Arguments

Print generic for customized data.frame console output — print.mirt_df

<dl>

<dt>x</dt>
<dd>object of class <code>'mirt_df'</code></dd>


<dt>digits</dt>
<dd>number of digits to round</dd>


<dt>...</dt>
<dd>additional arguments passed to <code>print(...)</code></dd>

</dl>

Print generic for customized data.frame console output

print.mirt_df: Print generic for customized data.frame console output

Description

Usage

Arguments