NPCD: Nonparametric Methods for Cognitive Diagnosis

An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.

Version: 1.0-7
Depends: R (≥ 2.14.2), BB, R.oo
Imports: R.methodsS3
Published: 2014-12-03
Author: Yi Zheng [aut, cre], Chia-Yi Chiu [aut], Jeffrey A. Douglas [ctb]
Maintainer: Yi Zheng <yi.isabel.zheng at asu.edu>
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
NeedsCompilation: no
Citation: NA
Materials: NA
CRAN checks: NPCD results

Downloads:

Reference manual: NPCD.pdf
Package source: NPCD_1.0-7.tar.gz
Windows binaries: r-devel: NPCD_1.0-7.zip, r-release: NPCD_1.0-7.zip, r-oldrel: NPCD_1.0-7.zip
OS X Snow Leopard binaries: r-release: NPCD_1.0-7.tgz, r-oldrel: NPCD_1.0-7.tgz
OS X Mavericks binaries: r-release: NPCD_1.0-7.tgz
Old sources: NPCD archive

Reverse dependencies:

Reverse suggests: CDM