Integrated Nested Laplace Approximation (INLA)
The R inla packages solves models using Integrated nested Laplace approximation (INLA) which is a new approach to statistical inference for latent Gaussian Markov random field (GMRF) models described in. In short, a latent GMRF model is a hierarchical model where, at the first stage we find a distributional assumption for the observables y usually assumed to be conditionally independent given some latent parameters and, possibly, some additional parameters.
Bayesian Cost Effectiveness Analysis (BCEA)
Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, BCEA computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.