The Nonparametric Classification Methods for Cognitive Diagnosis
Overview
Statistical tools for analyzing cognitive diagnosis (CD) data collected from small settings using the nonparametric classification (NPCD) framework. The core methods of the NPCD framework includes the nonparametric classification (NPC) method developed by Chiu and Douglas (2013) DOI:10.1007/s00357-013-9132-9 and the general NPC (GNPC) method developed by Chiu, Sun, and Bian (2018) DOI:10.1007/s11336-017-9595-4 and Chiu and Köhn (2019) DOI:10.1007/s11336-019-09660-x. An extension of the NPCD framework included in the package is the nonparametric method for multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023) DOI:10.3102/10769986221133088. Functions associated with various extensions concerning the evaluation, validation, and feasibility of the CD analysis are also provided. These topics include the completeness of Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.
- Renamed the
NPC()output componentalpha.esttoatt.estfor consistency withGNPC(). This is a breaking change: code usingNPC(...)$alpha.estmust now useNPC(...)$att.est.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 26
- Examples that run
- 0%9 never run · 4 hold no code
- Exported functions with examples
- 63%
- Documented parameters
- 99%
- Return-value docs
- 95%
- Help pages citing references
- 35%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.1.02026-03-03 · diff ↗ ·
added 5 exports
Q.completeness, Q.implausible, Q.improper, distractor.check, run_gnpc_app - RR 4.5.0 released · 2025-04-11
- 1.02024-09-23
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-23
- Total releases
- 3 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 0.3 KB / 1 file
- Download size
- 79 KB
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