<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Implementation of Bayesian Neural Networks</dc:title>
  <dc:title>R package BayesFluxR version 0.1.3</dc:title>
  <dc:description>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. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: JuliaCall (&gt;= 0.17.5), stats</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Enrico Wegner &lt;e.wegner@student.maastrichtuniversity.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Enrico Wegner [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=BayesFluxR/LICENSE)</dc:rights>
  <dc:date>2023-12-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BayesFluxR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BayesFluxR</dc:identifier>
</oai_dc:dc>
