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BayesFluxR  

Implementation of Bayesian Neural Networks
View on CRAN: Click here


Download and install BayesFluxR package within the R console
Install from CRAN:
install.packages("BayesFluxR")

Install from Github:
library("remotes")
install_github("cran/BayesFluxR")

Install by package version:
library("remotes")
install_version("BayesFluxR", "0.1.3")



Attach the package and use:
library("BayesFluxR")
Maintained by
Enrico Wegner
[Scholar Profile | Author Map]
First Published: 2023-03-09
Latest Update: 2023-12-10
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.
How to cite:
Enrico Wegner (2023). BayesFluxR: Implementation of Bayesian Neural Networks. R package version 0.1.3, https://cran.r-project.org/web/packages/BayesFluxR. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.1 (2023-03-09 10:00), 0.1.2 (2023-10-06 16:10)
Other packages that cited BayesFluxR R package
View BayesFluxR citation profile
Other R packages that BayesFluxR depends, imports, suggests or enhances
Complete documentation for BayesFluxR
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