LatentBMA: Bayesian Model Averaging for Univariate Link Latent Gaussian Models

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.

Version: 0.1.1
Imports: ggplot2 (≥ 3.5.1), knitr (≥ 1.47), mnormt (≥ 2.1.1), progress (≥ 1.2.3), reshape2 (≥ 1.4.4)
Suggests: rmarkdown
Published: 2024-07-01
DOI: 10.32614/CRAN.package.LatentBMA
Author: Gregor Zens [aut, cre], Mark F.J. Steel [aut]
Maintainer: Gregor Zens <zens at iiasa.ac.at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: LatentBMA citation info
CRAN checks: LatentBMA results

Documentation:

Reference manual: LatentBMA.pdf
Vignettes: Bayesian Model Averaging with 'LatentBMA'

Downloads:

Package source: LatentBMA_0.1.1.tar.gz
Windows binaries: r-devel: LatentBMA_0.1.1.zip, r-release: LatentBMA_0.1.1.zip, r-oldrel: LatentBMA_0.1.1.zip
macOS binaries: r-release (arm64): LatentBMA_0.1.1.tgz, r-oldrel (arm64): LatentBMA_0.1.1.tgz, r-release (x86_64): LatentBMA_0.1.1.tgz, r-oldrel (x86_64): LatentBMA_0.1.1.tgz
Old sources: LatentBMA archive

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