Generalized Multicomponent Latent Trait Model for Diagnosis R package GMLTM version 0.1.0 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>). All models are estimated via Hamiltonian Monte Carlo using 'Stan' through the 'rstan' interface. Includes tools for model validation, reliability estimation, and visualization of item characteristic curves. 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) 2026-06-30 application/tgz https://CRAN.R-project.org/package=GMLTM doi:10.32614/CRAN.package.GMLTM en-US