INLAvaan: Approximate Bayesian Latent Variable Analysis
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