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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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LatentBMA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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