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>), including a variant with
correlated latent components. All models are estimated via Hamiltonian
Monte Carlo using 'Stan' through the 'rstan' interface. Includes tools
for prior predictive checks (Gelman et al., 2020), model validation,
conditional reliability estimation, examinee mastery classification
following Embretson (2019) <doi:10.1007/978-3-030-05584-4_9>, and
individual diagnostic reports at the rule and component level.
Supports user-defined prior distributions for all model parameters.
| Version: |
2.0.0 |
| 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: |
2026-08-27 |
| DOI: |
10.32614/CRAN.package.GMLTM |
| 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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