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GMLTM  

Generalized Multicomponent Latent Trait Model for Diagnosis
View on CRAN: Click here


Download and install GMLTM package within the R console
Install from CRAN:
install.packages("GMLTM")

Install from Github:
library("remotes")
install_github("cran/GMLTM")

Install by package version:
library("remotes")
install_version("GMLTM", "0.1.0")



Attach the package and use:
library("GMLTM")
Maintained by
Eduar Ramirez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
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.
How to cite:
Eduar Ramirez (2026). GMLTM: Generalized Multicomponent Latent Trait Model for Diagnosis. R package version 0.1.0, https://cran.r-project.org/web/packages/GMLTM. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for GMLTM
Functions, R codes and Examples using the GMLTM R package
Full GMLTM package functions and examples
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