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NPCDTools

1.2.0Package record

The Nonparametric Classification Methods for Cognitive Diagnosis

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.2.0
  • Renamed the NPC() output component alpha.est to att.est for consistency with GNPC(). This is a breaking change: code using NPC(...)$alpha.est must now use NPC(...)$att.est.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.0
READMENoVignettesNoNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION
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

2.2K
CRAN downloads in the past year
Rank #19,691 · ~6/day · ~185/mo
Daily download trend is not available in this view yet.
25730 days
66790 days
2.2K1 year
Compare downloads with other packages →
Also on90 r2u4 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing NPCDTools adds 60 packages (31 with compiled code, 45 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)
R >= 2.10
Imports (8)
GDINApsychstatsutilsgtoolsMatrixshinyMASS
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2024)
Author, Copyright holder
Author · added in 1.1.0
Author
Author
Releases (3)

Pick two releases to compare their code metrics.

  • 1.2.0Latest
    record
    2026-08-31 · current release · diff ↗ ·
    added 3 exports
    MCNPC, mcQ.generate, mcdat.generate
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    record
    2026-03-03 · diff ↗ ·
    added 5 exports
    Q.completeness, Q.implausible, Q.improper, distractor.check, run_gnpc_app
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0
    record
    2024-09-23
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NPCDTools")
Xiao, W., Chiu, C., Köhn, H. F., Wang, Y., & Wen, X. (2026). NPCDTools: The Nonparametric Classification Methods for Cognitive Diagnosis (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.NPCDTools

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NPCDTools version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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