Attribute profile estimation using Diagnostic Classification Models and MCMC

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.


Reference manual

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1.0 by Diane Losardo, 4 years ago

Browse source code at

Authors: c( person("Diane", family="Losardo", email='[email protected]", role = c("aut", "cre", "cph")), person("Margi", family="Dubal", email='[email protected]", role = c("aut", "cre", "cph")))

Documentation:   PDF Manual  

GPL (>= 3) license

Imports ggplot2, KFAS, plyr, reshape2, tableplot, methods

Suggests testthat

See at CRAN