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 Snow Leopard binaries: | r-release: dcmr_1.0.tgz, r-oldrel: dcmr_1.0.tgz |
| OS X Mavericks binaries: | r-release: dcmr_1.0.tgz |