TPmat

Based on the latent attribute space, generate a matrix indicating whether it is possible to
transition from pattern cc to cc' under the monotonicity learning assumption.

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

TPmat function

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

Arguments

Generate monotonicity matrix — TPmat

<dl>

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

</dl>

TPmat: Generate monotonicity matrix

Description

Usage

Value

Arguments

Examples