Generalized Multicomponent Latent Trait Model for Diagnosis // 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.