Package: GMLTM
Type: Package
Title: Generalized Multicomponent Latent Trait Model for Diagnosis
Version: 0.1.0
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)
    <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.
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
NeedsCompilation: no
Packaged: 2026-06-24 13:17:06 UTC; eduarramirezriveros
Author: Eduar Ramirez [aut, cre],
  Marcos Jimenez [aut],
  Vithor R. Franco [aut],
  Jesus Alvarado [aut]
Maintainer: Eduar Ramirez <edrami02@ucm.es>
Repository: CRAN
Date/Publication: 2026-06-30 11:40:07 UTC
Built: R 4.6.1; ; 2026-06-30 11:54:44 UTC; unix
