exametrika: Test Theory Analysis and Biclustering

Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.

Version:	1.1.0
Depends:	R (≥ 3.5.0), mvtnorm, igraph
Suggests:	testthat (≥ 3.0.0)
Published:	2024-11-22
DOI:	10.32614/CRAN.package.exametrika
Author:	Koji Kosugi [aut, cre]
Maintainer:	Koji Kosugi <kosugitti at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	exametrika results

Documentation:

Reference manual:

exametrika.pdf

Downloads:

Package source:	exametrika_1.1.0.tar.gz
Windows binaries:	r-devel: exametrika_1.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): exametrika_1.1.0.tgz, r-oldrel (arm64): exametrika_1.1.0.tgz, r-release (x86_64): exametrika_1.1.0.tgz, r-oldrel (x86_64): exametrika_1.1.0.tgz

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