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INLAvaan (version 0.2.3)

INLAvaan-package: INLAvaan: Approximate Bayesian Latent Variable Analysis

Description

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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) tools:::Rd_expr_doi("10.1111/j.1467-9868.2008.00700.x"). 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.

Arguments

Main features

  • acfa(): Approximate Confirmatory Factor Analysis.

  • asem(): Approximate Structural Equation Modelling.

  • agrowth(): Approximate Latent Growth Curve models.

Model specifications

Supports advanced 'lavaan' syntax features, including:

  • Equality constraints

  • Defined parameters (e.g., := operator for indirect effects)

  • Flexible prior specifications

Online vignettes

The package website contains comprehensive examples covering:

  • Confirmatory Factor Analysis (CFA)

  • Structural Equation Models (SEM)

  • Latent Growth Curve Models

  • Multigroup and Invariance Testing

  • Mediation Analysis

Author

Maintainer: Haziq Jamil haziq.jamil@gmail.com (ORCID) [copyright holder]

Other contributors:

  • Håvard Rue (ORCID) (Statistical and computational methodology) [contributor]

  • Alvin Bong (Initial site build) [contributor]

See Also

Useful links: