ETAmat

Based on the Q matrix and the latent attribute space, generate the ideal response matrix for each skill pattern

Fitting hidden Markov models of learning under the cognitive diagnosis framework.
The estimation of the hidden Markov diagnostic classification model,
the first order hidden Markov model, the reduced-reparameterized unified learning model,
and the joint learning model for responses and response times.

Sunbeom Kwon

hmcdm

Hidden Markov Cognitive Diagnosis Models for Learning

Susu Zhang

Shiyu Wang

Yinghan Chen

ETAmat function

<dl><dt>K</dt>
<dd>An <code>int</code> of the number of attributes</dd>
<dt>J</dt>
<dd>An <code>int</code> of the number of items</dd>
<dt>Q</dt>
<dd>A J-by-K Q <code>matrix</code></dd></dl>

Arguments

Generate ideal response matrix — ETAmat

<dl>

<dt>K</dt>
<dd>An <code>int</code> of the number of attributes</dd>


<dt>J</dt>
<dd>An <code>int</code> of the number of items</dd>


<dt>Q</dt>
<dd>A J-by-K Q <code>matrix</code></dd>

</dl>

ETAmat: Generate ideal response matrix

Description

Usage

Value

Arguments

Examples