Generalized Multicomponent Latent Trait Model for Diagnosis R package GMLTM version 2.0.0 Provides Bayesian estimation of Item Response Theory models that decompose item difficulty into cognitive operations or rules. Implements the Linear Logistic Test Model (LLTM; Fischer (1973) <doi:10.1016/0001-6918(73)90003-6>), the Multicomponent Latent Trait Model for Diagnosis (MLTM-D; Embretson and Yang (2013) <doi:10.1007/s11336-012-9296-y>), and the Generalized Multicomponent Latent Trait Model for Diagnosis (GMLTM-D; Ramirez et al. (2024) <doi:10.3390/jintelligence12070067>), including a variant with correlated latent components. All models are estimated via Hamiltonian Monte Carlo using 'Stan' through the 'rstan' interface. Includes tools for prior predictive checks (Gelman et al., 2020), model validation, conditional reliability estimation, examinee mastery classification following Embretson (2019) <doi:10.1007/978-3-030-05584-4_9>, and individual diagnostic reports at the rule and component level. Supports user-defined prior distributions for all model parameters. Software Depends: R (>= 4.1.0) Imports: rstan (>= 2.21.0), ggplot2, gridExtra, grid, utils, parallel, loo, RColorBrewer Suggests: testthat (>= 3.0.0), knitr, rmarkdown Eduar Ramirez <edrami02@ucm.es> Comprehensive R Archive Network (CRAN) Eduar Ramirez [aut, cre], Marcos Jimenez [aut], Vithor R. Franco [aut], Jesus Alvarado [aut] GPL (>= 3) 2026-08-27 application/tgz https://CRAN.R-project.org/package=GMLTM doi:10.32614/CRAN.package.GMLTM en-US