New Frontiers in Bayesian Modeling Using the <b>INLA</b> Package in <i>R</i>

The INLA package provides a tool for computationally efficient Bayesian modeling and inference various widely used models, more formally the class of latent Gaussian models. It is non-sampling based framework which approximate results inference, using sparse matrices. swift uptake this rooted in computational efficiency approach catalyzed by demand presented big data era. In paper, we present new developments within with aim to provide mechanism relevant challenging situations.