best_model

Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm
(Bock & Aitkin, 1981 <doi:10.1007/BF02293801>).
Within parameter estimation algorithm, several methods for latent distribution estimation are available.
Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.

Seewoo Li

IRTest

Parameter Estimation of Item Response Theory with Estimation of
Latent Distribution

best_model function

<dl><dt>...</dt>
<dd>Candidate models</dd>
<dt>criterion</dt>
<dd>The criterion to be used. The default is <code>HQ</code>.</dd></dl>

Arguments

Seewoo Li <a href="/link/cu%40yonsei.ac.kr?package=IRTest&version=2.1.0" data-mini-rdoc="IRTest::cu@yonsei.ac.kr">cu@yonsei.ac.kr</a>

Author

Selecting the best model — best_model

<dl>

<dt>...</dt>
<dd>Candidate models</dd>


<dt>criterion</dt>
<dd>The criterion to be used. The default is <code>HQ</code>.</dd>

</dl>

Seewoo Li <a href='mailto:cu@yonsei.ac.kr'>cu@yonsei.ac.kr</a>

best_model: Selecting the best model

Description

Usage

Value

Arguments

Author