NPCD: Nonparametric Methods for Cognitive Diagnosis

This package performs an array of nonparametric estimation methods for cognitive diagnostic models, including nonparametric estimation of examinee attribute profiles, joint maximum likelihood estimation of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as parametric algorithms such as maximum likelihood estimation of examinee attribute profiles given item parameters and maximum likelihood estimation of item parameters given examinee attribute profiles.

Version: 1.0-2
Depends: R (≥ 2.14.2), BB, R.oo
Published: 2013-04-05
Author: Yi Zheng (University of Illinois at Urbana-Champaign) and Chia-Yi Chiu (Rutgers, the State University of New Jersey), with contributions from Jeffrey A. Douglas (University of Illinois at Urbana-Champaign)
Maintainer: Yi Zheng <yizheng1 at illinois.edu>
License: LGPL (≥ 2.1)
NeedsCompilation: no
CRAN checks: NPCD results

Downloads:

Package source: NPCD_1.0-2.tar.gz
MacOS X binary: NPCD_1.0-2.tgz
Windows binary: NPCD_1.0-2.zip
Reference manual: NPCD.pdf
Old sources: NPCD archive