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: 2026-06-30 16:47:50 UTC; root
Author: Eduar Ramirez [aut, cre], Marcos Jimenez [aut], Vithor R.
        Franco [aut], Jesus Alvarado [aut]
Maintainer: Eduar Ramirez <edrami02@ucm.es>
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-30 11:40:07 UTC
RemoteUrl: https://github.com/cran/GMLTM
RemoteRef: HEAD
RemoteSha: eb15116465800017bc1d8a0a93914a08e0895328