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>.
Package details |
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| Author | Sebastian Sosa [aut, cre] |
| Maintainer | Sebastian Sosa <bf@s-sosa.com> |
| License | GPL (>= 3) |
| Version | 0.0.1 |
| URL | https://s-sosa.com/BF/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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