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BayesFluxR: Implementation of Bayesian Neural Networks

Implementation of 'BayesFlux.jl' for R; It extends the famous 'Flux.jl' machine learning library to Bayesian Neural Networks. The goal is not to have the fastest production ready library, but rather to allow more people to be able to use and research on Bayesian Neural Networks.

Version: 0.1.3
Imports: JuliaCall (≥ 0.17.5), stats
Suggests: testthat (≥ 3.0.0)
Published: 2023-12-10
DOI: 10.32614/CRAN.package.BayesFluxR
Author: Enrico Wegner [aut, cre]
Maintainer: Enrico Wegner <e.wegner at student.maastrichtuniversity.nl>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: BayesFluxR results

Documentation:

Reference manual: BayesFluxR.pdf

Downloads:

Package source: BayesFluxR_0.1.3.tar.gz
Windows binaries: r-devel: BayesFluxR_0.1.3.zip, r-release: BayesFluxR_0.1.3.zip, r-oldrel: BayesFluxR_0.1.3.zip
macOS binaries: r-release (arm64): BayesFluxR_0.1.3.tgz, r-oldrel (arm64): BayesFluxR_0.1.3.tgz, r-release (x86_64): BayesFluxR_0.1.3.tgz, r-oldrel (x86_64): BayesFluxR_0.1.3.tgz
Old sources: BayesFluxR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesFluxR 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.