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:	1.8.1
Depends:	R (≥ 4.1.0)
Imports:	mvtnorm, igraph, Rcpp (≥ 1.0.7)
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0)
Published:	2026-02-17
DOI:	10.32614/CRAN.package.exametrika
Author:	Koji Kosugi [aut, cre]
Maintainer:	Koji Kosugi <kosugitti at gmail.com>
License:	MIT + file LICENSE
URL:	https://kosugitti.github.io/exametrika/
NeedsCompilation:	yes
Language:	en-US
Materials:	README, NEWS
CRAN checks:	exametrika results

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