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.

Documentation

Manual: dcmr.pdf
Vignette: None available.

Maintainer: Diane Losardo <dlosardo at amplify.com>

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

Install package and any missing dependencies by running this line in your R console:

install.packages("dcmr")

Depends R (>= 3.0.2)
Imports ggplot2, KFAS, plyr, reshape2, tableplot, methods
Suggests testthat
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Package dcmr
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Version 1.0
Published 2014-07-26
License GPL (>= 3)
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NeedsCompilation no
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Package source dcmr_1.0.tar.gz