https://eduar-ramirez.r-universe.devRecent package updates in eduar-ramirezR-universehttps://github.com/eduar-ramirez.pnghttps://eduar-ramirez.r-universe.devMon, 08 Jun 2026 18:41:11 GMTedrami02@ucm.es (Eduar Ramirez)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.https://github.com/r-universe/eduar-ramirez/actions/runs/28505564445Mon, 08 Jun 2026 18:41:11 GMTGMLTM0.1.0successhttps://eduar-ramirez.r-universe.devhttps://github.com/eduar-ramirez/gmltm-dGMLTM-intro.RmdGMLTM-intro.htmlIntroduction to GMLTM2026-05-31 19:27:452026-05-31 19:27:45