CRAN
dcmr 1.0
Attribute profile estimation using Diagnostic Classification Models and MCMC
Released Jul 26, 2014 by Diane Losardo
Dependencies
ggplot2 3.0.0 plyr 1.8.4 KFAS 1.3.2 reshape2 1.4.3 tableplot 0.3-5
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.
Installation
Maven
This package can be included as a dependency from a Java or Scala project by including
the following your project's pom.xml
file.
Read more
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>dcmr</artifactId> <version>1.0-b43</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:dcmr')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.