nmaINLA

nmaINLA is a package for Bayesian network meta-analysis using integrated nested Laplace approximations (INLA), designed for faster inference than traditional MCMC-based workflows while still supporting key model components such as heterogeneity and inconsistency.

It accompanies the methodology from Guenhan, Held, and Friede (2018) doi:10.1002/jrsm.1285 and is intended for applied network meta-analysis where computational efficiency and practical model fitting both matter.