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: 0.1.1
Imports: JuliaCall (≥ 0.17.5), stats
Suggests: testthat (≥ 3.0.0)
Published: 2023-03-09
Author: Enrico Wegner [aut, cre]
Maintainer: Enrico Wegner <e.wegner at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: BayesFluxR results


Reference manual: BayesFluxR.pdf


Package source: BayesFluxR_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesFluxR_0.1.1.tgz, r-oldrel (arm64): BayesFluxR_0.1.1.tgz, r-release (x86_64): BayesFluxR_0.1.1.tgz, r-oldrel (x86_64): BayesFluxR_0.1.1.tgz


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