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:
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')) |
- 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.
Last updated 5 years agofrom:f08d6675a5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
Exports:AlphaMLEAlphaNPCDLCDPItemFitJMLEModelFitParMLEQrefine
Dependencies:BBquadprogR.methodsS3
