all.results.class

all.results.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

all.results.class-class function

 <dl>
<dt><code>attribute.profile.result</code></dt><dd>An object of <code><a rd-options="" href="/link/attribute.profile.class?package=dcmr&version=1.0" data-mini-rdoc="dcmr::attribute.profile.class">attribute.profile.class</a></code></dd> <dt><code>attribute.result</code></dt><dd>An object of <code><a rd-options="" href="/link/attribute.class?package=dcmr&version=1.0" data-mini-rdoc="dcmr::attribute.class">attribute.class</a></code></dd> <dt><code>parameter.result</code></dt><dd>An object of <code><a rd-options="" href="/link/parameter.class?package=dcmr&version=1.0" data-mini-rdoc="dcmr::parameter.class">parameter.class</a></code></dd> </dl>

all.results.class-class: all.results.class

Description

Arguments

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