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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 LatentBMA_0.1.2.tar.gz 96.0 KiB
0.1.2 rolling linux/noble R-4.5 LatentBMA_0.1.2.tar.gz 95.9 KiB
0.1.2 rolling source/ R- LatentBMA_0.1.2.tar.gz 36.0 KiB
0.1.2 latest linux/jammy R-4.5 LatentBMA_0.1.2.tar.gz 96.0 KiB
0.1.2 latest linux/noble R-4.5 LatentBMA_0.1.2.tar.gz 95.9 KiB
0.1.2 latest source/ R- LatentBMA_0.1.2.tar.gz 36.0 KiB
0.1.2 2026-04-26 source/ R- LatentBMA_0.1.2.tar.gz 36.0 KiB
0.1.2 2026-04-23 source/ R- LatentBMA_0.1.2.tar.gz 36.0 KiB
0.1.2 2026-04-09 windows/windows R-4.5 LatentBMA_0.1.2.zip 97.5 KiB
0.1.2 2025-04-20 source/ R- LatentBMA_0.1.2.tar.gz 36.0 KiB

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