Bayesian Model Averaging for Univariate Link Latent Gaussian Models R package LatentBMA version 0.1.3 Bayesian model averaging (BMA) algorithms for univariate link latent Gaussian models (ULLGMs). For detailed information, refer to Steel M.F.J. & Zens G. (2024) "Model Uncertainty in Latent Gaussian Models with Univariate Link Function" <doi:10.48550/arXiv.2406.17318>. The package supports various g-priors and a beta-binomial prior on the model space. It also includes auxiliary functions for visualizing and tabulating BMA results. Currently, it offers an out-of-the-box solution for model averaging of Poisson log-normal (PLN) and binomial logistic-normal (BiL) models. The codebase is designed to be easily extendable to other likelihoods, priors, and link functions. Software Imports: ggplot2 (>= 3.5.1), knitr (>= 1.47), mnormt (>= 2.1.1), progress (>= 1.2.3), reshape2 (>= 1.4.4) Suggests: rmarkdown Gregor Zens <zens@iiasa.ac.at> Comprehensive R Archive Network (CRAN) Gregor Zens [aut, cre], Mark F.J. Steel [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=LatentBMA/LICENSE) 2026-05-19 application/tgz https://CRAN.R-project.org/package=LatentBMA doi:10.32614/CRAN.package.LatentBMA