Package: LatentBMA
Type: Package
Title: Bayesian Model Averaging for Univariate Link Latent Gaussian
        Models
Version: 0.1.3
Authors@R: c(person("Gregor","Zens",role=c("aut","cre"),email="zens@iiasa.ac.at"),
             person("Mark F.J.","Steel", role="aut"))
Author: Gregor Zens [aut, cre], Mark F.J. Steel [aut]
Maintainer: Gregor Zens <zens@iiasa.ac.at>
Description: 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.
Encoding: UTF-8
License: MIT + file LICENSE
RoxygenNote: 7.3.1
Imports: ggplot2 (>= 3.5.1), knitr (>= 1.47), mnormt (>= 2.1.1),
        progress (>= 1.2.3), reshape2 (>= 1.4.4)
Suggests: rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 06:50:45 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-05-19 08:41:15 UTC
RemoteUrl: https://github.com/cran/LatentBMA
RemoteRef: HEAD
RemoteSha: 7ca43065c1e4f3cfa96555377af21c6bb325f4d7