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Bayesian Estimation of Latent Space Item Response Models with `JAGS`, `Stan`, and `NIMBLE` in `R`

Jinwen Luo,
Ludovica De Carolis,
Biao Zeng and
Minjeong Jeon

Psych2023, 5(2), 396-415;https://doi.org/10.3390/psych5020027

11 May 2023

The latent space item response model (LSIRM) is a newly-developed approach to analyzing and visualizing conditional dependencies in item response data, manifested as the interactions between respondents and items, between respondents, and between ite...

(This article belongs to the Special Issue Computational Aspects and Software in Psychometrics II)

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Bayesian Estimation of Latent Space Item Response Models with JAGS, Stan, and NIMBLE in R

Bayesian Estimation of Latent Space Item Response Models with `JAGS`, `Stan`, and `NIMBLE` in `R`