dcmr: 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.

Version: 1.0
Depends: R (≥ 3.0.2)
Imports: ggplot2, KFAS, plyr, reshape2, tableplot, methods
Suggests: testthat
Published: 2014-07-26
Author: 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")))
Maintainer: Diane Losardo <dlosardo at amplify.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: dcmr results


Reference manual: dcmr.pdf
Package source: dcmr_1.0.tar.gz
Windows binaries: r-devel: dcmr_1.0.zip, r-release: dcmr_1.0.zip, r-oldrel: dcmr_1.0.zip
OS X El Capitan binaries: r-release: dcmr_1.0.tgz
OS X Mavericks binaries: r-oldrel: dcmr_1.0.tgz


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