Function <code>RR</code> is used to compute the recovery rates for an estimate Q-matrix.
In general, it can be used to compute the agreement rate between two matrices with identical dimensionalities.

Statistical tools for analyzing cognitive diagnosis (CD) data collected from small settings using the nonparametric classification (NPCD) framework. The core methods of the NPCD framework includes the nonparametric classification (NPC) method developed by Chiu and Douglas (2013) <DOI:10.1007/s00357-013-9132-9> and the general NPC (GNPC) method developed by Chiu, Sun, and Bian (2018) <DOI:10.1007/s11336-017-9595-4> and Chiu and Köhn (2019) <DOI:10.1007/s11336-019-09660-x>. An extension of the NPCD framework included in the package is the nonparametric method for multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023) <DOI:10.3102/10769986221133088>. Functions associated with various extensions concerning the evaluation, validation, and feasibility of the CD analysis are also provided. These topics include the completeness of Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.

Weixuan Xiao

NPCDTools

The Nonparametric Classification Methods for Cognitive Diagnosis

Chia-Yi Chiu

Xiran Wen

Yu Wang

RR function

<dl><dt>Q1</dt>
<dd>The first Q-matrix.</dd>
<dt>Q2</dt>
<dd>The second Q-matrix that has the same dimensionality as Q1.</dd></dl>

Arguments

Entry-wise and vector-wise recovery rates — RR

<dl>

<dt>Q1</dt>
<dd>The first Q-matrix.</dd>


<dt>Q2</dt>
<dd>The second Q-matrix that has the same dimensionality as Q1.</dd>

</dl>

RR: Entry-wise and vector-wise recovery rates

Description

Usage

Value

Arguments