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INLAvaan: Approximate Bayesian Latent Variable Analysis
Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x> as described in Jamil and Rue (2026a) <doi:10.48550/arXiv.2603.25690>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the 'lavaan' syntax. See also the companion paper on implementation and workflows, Jamil and Rue (2026b) <doi:10.48550/arXiv.2604.00671>.
Getting started
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Package details |
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| Author | Haziq Jamil [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-3298-1010>), Håvard Rue [ctb] (ORCID: <https://orcid.org/0000-0002-0222-1881>, Statistical and computational methodology), Alvin Bong [ctb] (Initial site build) |
| Maintainer | Haziq Jamil <haziq.jamil@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.3.2 |
| URL | https://inlavaan.haziqj.ml/ https://github.com/haziqj/INLAvaan |
| Package repository | View on CRAN |
| Installation |
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