Package: NPCD 1.0-11

Yi Zheng

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.

Authors:Yi Zheng [aut, cre], Chia-Yi Chiu [aut], Jeffrey A. Douglas [ctb]

NPCD_1.0-11.tar.gz
NPCD_1.0-11.tar.gz(r-4.5-noble)NPCD_1.0-11.tar.gz(r-4.4-noble)
NPCD_1.0-11.tgz(r-4.4-emscripten)NPCD_1.0-11.tgz(r-4.3-emscripten)
NPCD.pdf |NPCD.html
NPCD/json (API)

# Install 'NPCD' in R:
install.packages('NPCD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Data.DINA - Example dataset generated using DINA model
  • Data.DINO - Example dataset generated using DINO model
  • Data.Qrefine - Example dataset used for the 'Qrefine' function

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9 exports 1 stars 0.71 score 3 dependencies 1 dependents 1 mentions 17 scripts 270 downloads

Last updated 5 years agofrom:f08d6675a5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-linuxOKAug 05 2024

Exports:AlphaMLEAlphaNPCDLCDPItemFitJMLEModelFitParMLEQrefine

Dependencies:BBquadprogR.methodsS3