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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 |
| Reference manual: | GMLTM.html , GMLTM.pdf |
| Vignettes: |
Introduction to GMLTM (source, R code) |
| Package source: | GMLTM_2.0.0.tar.gz |
| Windows binaries: | r-devel: GMLTM_2.0.0.zip, r-release: GMLTM_2.0.0.zip, r-oldrel: GMLTM_2.0.0.zip |
| macOS binaries: | r-release (arm64): GMLTM_2.0.0.tgz, r-oldrel (arm64): GMLTM_2.0.0.tgz, r-release (x86_64): GMLTM_2.0.0.tgz, r-oldrel (x86_64): GMLTM_2.0.0.tgz |
| Old sources: | GMLTM archive |
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These binaries (installable software) and packages are in development.
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