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:	0.1.0
Imports:	ggplot2 (≥ 3.5.1), knitr (≥ 1.47), mnormt (≥ 2.1.1), progress (≥ 1.2.3), reshape2 (≥ 1.4.4)
Suggests:	rmarkdown
Published:	2024-06-27
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_0.1.0.tar.gz
Windows binaries:	r-devel: LatentBMA_0.1.0.zip, r-release: not available, r-oldrel: LatentBMA_0.1.0.zip
macOS binaries:	r-release (arm64): LatentBMA_0.1.0.tgz, r-oldrel (arm64): LatentBMA_0.1.0.tgz, r-release (x86_64): LatentBMA_0.1.0.tgz, r-oldrel (x86_64): LatentBMA_0.1.0.tgz

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