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:

Reference manual:	GMLTM.html , GMLTM.pdf
Vignettes:	Introduction to GMLTM (source, R code)

Downloads:

Package source:	GMLTM_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): GMLTM_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): GMLTM_0.1.0.tgz, r-oldrel (x86_64): GMLTM_0.1.0.tgz

Linking:

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