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cff-version: 1.2.0
message: 'To cite package "GMLTM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'GMLTM: Generalized Multicomponent Latent Trait Model for Diagnosis'
version: 0.1.0
abstract: 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) <https://doi.org/10.1016/0001-6918(73)90003-6>),
  the Multicomponent Latent Trait Model for Diagnosis (MLTM-D; Embretson and Yang
  (2013) <https://doi.org/10.1007/s11336-012-9296-y>), and the Generalized Multicomponent
  Latent Trait Model for Diagnosis (GMLTM-D; Ramirez et al. (2024) <https://doi.org/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.
authors:
- family-names: Ramirez
  given-names: Eduar
  email: edrami02@ucm.es
- family-names: Jimenez
  given-names: Marcos
  email: marcosjnezhquez@gmail.com
- family-names: Franco
  given-names: Vithor R.
- family-names: Alvarado
  given-names: Jesus
repository: https://cran.r-universe.dev
repository-code: https://github.com/Eduar-Ramirez/GMLTM-D
commit: eb15116465800017bc1d8a0a93914a08e0895328
url: https://github.com/Eduar-Ramirez/GMLTM-D
date-released: '2026-06-30'
contact:
- family-names: Ramirez
  given-names: Eduar
  email: edrami02@ucm.es