INLAvaan: Approximate Bayesian Latent Variable Analysis

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Authors: Haziq Jamil
Cited by: 0
References: 1

Abstract

Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation as described in Rue et al. (2009) . 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.

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Markov Chains and Monte Carlo Methods Data Analysis with R

Publication details

Publication date
27 January 2026
Document type
Dataset