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Beta version of 'Bayesian Inference' (BI) using 'python' and BI. It 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, GPU, or TPU.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | reticulate |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-01-13 |
| DOI: | 10.32614/CRAN.package.BayesianInference |
| Author: | Sebastian Sosa [aut, cre] |
| Maintainer: | Sebastian Sosa <bi at s-sosa.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.6), 'BayesInference' python library. |
| Materials: | README |
| CRAN checks: | BayesianInference results |
| Reference manual: | BayesianInference.html , BayesianInference.pdf |
| Package source: | BayesianInference_0.0.1.tar.gz |
| Windows binaries: | r-devel: BayesianInference_0.0.1.zip, r-release: BayesianInference_0.0.1.zip, r-oldrel: BayesianInference_0.0.1.zip |
| macOS binaries: | r-release (arm64): BayesianInference_0.0.1.tgz, r-oldrel (arm64): BayesianInference_0.0.1.tgz, r-release (x86_64): BayesianInference_0.0.1.tgz, r-oldrel (x86_64): BayesianInference_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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