dcm.scorer.class

dcm.scorer.class-class

Analysis of dichotomous response data to obtain attribute profile
estimates for respondents using Diagnostic Classification Model (DCM) and
Markov Chain Monte Carlo (MCMC) method. The estimation procedure uses a
loglinear cognitive diagnostic modeling (LDCM) framework that allows for
the estimation of a host of DCMs such as NIDO, NIDA, NC-RUM etc.

Diane Losardo

dcmr

Attribute profile estimation using Diagnostic Classification
Models and MCMC

dcm.scorer.class-class function

 <dl>
<dt><code>inputs</code></dt><dd>A list of inputs provided by user</dd> <dt><code>mcmc.inputs</code></dt><dd>A list of inputs for MCMC estimation</dd> <dt><code>results</code></dt><dd>An object of <code><a rd-options="" href="/link/all.results.class?package=dcmr&version=1.0" data-mini-rdoc="dcmr::all.results.class">all.results.class</a></code></dd> <dt><code>mcmc.output</code></dt><dd>A list of MCMC runs</dd> </dl>

dcm.scorer.class-class: dcm.scorer.class

Description

Arguments

Slots