GMLTM: 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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
rstan (≥ 2.21.0), ggplot2, gridExtra, grid, utils, parallel, loo, RColorBrewer |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-06-30 |
| DOI: |
10.32614/CRAN.package.GMLTM (may not be active yet) |
| Author: |
Eduar Ramirez [aut, cre],
Marcos Jimenez [aut],
Vithor R. Franco [aut],
Jesus Alvarado [aut] |
| Maintainer: |
Eduar Ramirez <edrami02 at ucm.es> |
| BugReports: |
https://github.com/Eduar-Ramirez/GMLTM-D/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Eduar-Ramirez/GMLTM-D |
| NeedsCompilation: |
no |
| SystemRequirements: |
C++17, GNU make |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
GMLTM results |
Documentation:
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