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.
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- 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%
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Checks run against github.com/eduar-ramirez/gmltm-d on 2026-07-30.
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Code & Tests
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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
- not tracked yet
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- With dependencies
- not tracked yet