BayesForge: Bayesian Inference using 'numpyro' and 'XLA'

A high-performance probabilistic programming library that aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU (Central Processing Unit), GPU (Graphics Processing Unit), or TPU (Tensor Processing Unit) using 'JAX' (Just-In-Time compiled Accelerated linear algebra) as the computational backend: Sosa (2026) <doi:10.64898/2026.01.19.700318>.

Getting started

Package details

AuthorSebastian Sosa [aut, cre]
MaintainerSebastian Sosa <bf@s-sosa.com>
LicenseGPL (>= 3)
Version0.0.1
URL https://s-sosa.com/BF/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesForge")

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BayesForge documentation built on June 9, 2026, 1:09 a.m.