The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.0-11 |
Depends: | R (≥ 2.14.2), BB |
Imports: | R.methodsS3 |
Published: | 2019-11-15 |
DOI: | 10.32614/CRAN.package.NPCD |
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)] |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | no |
CRAN checks: | NPCD results |
Reference manual: | NPCD.pdf |
Package source: | NPCD_1.0-11.tar.gz |
Windows binaries: | r-devel: NPCD_1.0-11.zip, r-release: NPCD_1.0-11.zip, r-oldrel: NPCD_1.0-11.zip |
macOS binaries: | r-release (arm64): NPCD_1.0-11.tgz, r-oldrel (arm64): NPCD_1.0-11.tgz, r-release (x86_64): NPCD_1.0-11.tgz, r-oldrel (x86_64): NPCD_1.0-11.tgz |
Old sources: | NPCD archive |
Reverse imports: | cdcatR |
Please use the canonical form https://CRAN.R-project.org/package=NPCD to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.