GMLTM
0.1.0Generalized Multicomponent Latent Trait Model for Diagnosis
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-017 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 23%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/eduar-ramirez/gmltm-d on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-06-30 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-30
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 2.5 KB / 1 file
- Download size
- 68 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
citation("GMLTM")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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