CRAN/E | NPCD

NPCD

Nonparametric Methods for Cognitive Diagnosis

Installation

About

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.

Copyright see file COPYRIGHTS

Key Metrics

Version 1.0-11
R ≥ 2.14.2
Published 2019-11-15 1629 days ago
Needs compilation? no
License LGPL-2.1
License LGPL-3
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Maintainer

Maintainer

Yi Zheng

yi.isabel.zheng@asu.edu

Authors

Yi Zheng

aut / cre

Chia-Yi Chiu

aut

Jeffrey A. Douglas

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

NPCD archive

Depends

R ≥ 2.14.2
BB

Imports

R.methodsS3

Reverse Imports

cdcatR
cdmTools