class.probabilities.test


This data set list the class probabities for Q-matrix containing no interaction between attributes.
This data set is used to check output of <code>ScoreDCM</code>


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

class.probabilities.test function

a data frame containing 15 students and 3 attributes. 1 student per row

class.probabilities.test: Class probabilities for Q-matrix containing no interaction between attributes

Description

Usage

Arguments

Format