Package: LatentBMA 0.1.1

Gregor Zens

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.

Authors:Gregor Zens [aut, cre], Mark F.J. Steel [aut]

LatentBMA_0.1.1.tar.gz
LatentBMA_0.1.1.tar.gz(r-4.5-noble)LatentBMA_0.1.1.tar.gz(r-4.4-noble)
LatentBMA_0.1.1.tgz(r-4.4-emscripten)LatentBMA_0.1.1.tgz(r-4.3-emscripten)
LatentBMA.pdf |LatentBMA.html✨
LatentBMA/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.09 score 43 dependencies 63 downloads

Last updated 4 days agofrom:0f36cc5522

Exports:plotBetaplotModelSizeplotPIPsummaryBMAtopModelstracePlotULLGM_BMA

Dependencies:clicolorspacecrayonevaluatefansifarverggplot2gluegtablehighrhmsisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmepillarpkgconfigplyrprettyunitsprogressR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithrxfunyaml