Test Theory Analysis and Biclustering R package exametrika version 1.15.0 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. Software Depends: R (>= 4.1.0) Imports: mvtnorm, igraph, Rcpp (>= 1.0.7) LinkingTo: Rcpp Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Koji Kosugi <kosugitti@gmail.com> Comprehensive R Archive Network (CRAN) Koji Kosugi [aut, cre] (ORCID: <https://orcid.org/0000-0001-5816-0099>) MIT + file LICENSE (https://CRAN.R-project.org/package=exametrika/LICENSE) 2026-07-15 application/tgz https://CRAN.R-project.org/package=exametrika doi:10.32614/CRAN.package.exametrika en-US