anova.IRTest

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

anova.IRTest function

<dl><dt>...</dt>
<dd>Objects of <code>"IRTest"</code>-class to be compared.</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

Model comparison — anova.IRTest

<dl>

<dt>...</dt>
<dd>Objects of <code>"IRTest"</code>-class to be compared.</dd>

</dl>

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

anova.IRTest: Model comparison

Description

Usage

Value

Arguments

Author