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.


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install.packages("dcmr")

1.0 by Diane Losardo, 3 years ago


Browse source code at https://github.com/cran/dcmr


Authors: c( person("Diane", family="Losardo", email='dlosardo@amplify.com", role = c("aut", "cre", "cph")), person("Margi", family="Dubal", email='margidubal@gmail.com", role = c("aut", "cre", "cph")))


Documentation:   PDF Manual  


GPL (>= 3) license


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

Suggests testthat


See at CRAN