Package: GMLTM Type: Package Title: Generalized Multicomponent Latent Trait Model for Diagnosis Version: 2.0.0 Authors@R: c( person("Eduar", "Ramirez", email = "edrami02@ucm.es", role = c("aut", "cre")), person("Marcos", "Jimenez", email = "marcosjnezhquez@gmail.com", role = "aut"), person("Vithor R.", "Franco", role = "aut"), person("Jesus", "Alvarado", role = "aut") ) Description: 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) ), the Multicomponent Latent Trait Model for Diagnosis (MLTM-D; Embretson and Yang (2013) ), and the Generalized Multicomponent Latent Trait Model for Diagnosis (GMLTM-D; Ramirez et al. (2024) ), 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) , and individual diagnostic reports at the rule and component level. Supports user-defined prior distributions for all model parameters. License: GPL (>= 3) URL: https://github.com/Eduar-Ramirez/GMLTM-D BugReports: https://github.com/Eduar-Ramirez/GMLTM-D/issues Encoding: UTF-8 LazyData: true Depends: R (>= 4.1.0) Imports: rstan (>= 2.21.0), ggplot2, gridExtra, grid, utils, parallel, loo, RColorBrewer Suggests: testthat (>= 3.0.0), knitr, rmarkdown SystemRequirements: C++17, GNU make VignetteBuilder: knitr Language: en-US RoxygenNote: 7.3.2 Config/pak/sysreqs: cmake make Repository: https://eduar-ramirez.r-universe.dev Date/Publication: 2026-08-27 10:37:29 UTC RemoteUrl: https://github.com/eduar-ramirez/gmltm-d RemoteRef: HEAD RemoteSha: 6e05e229178ffdb47b40bd137ae880a6e04f94f3 NeedsCompilation: no Packaged: 2026-10-26 08:20:40 UTC; root Author: Eduar Ramirez [aut, cre], Marcos Jimenez [aut], Vithor R. Franco [aut], Jesus Alvarado [aut] Maintainer: Eduar Ramirez