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BayesianInference  

Bayesian Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesianInference", "0.0.1")



Attach the package and use:
library("BayesianInference")
Maintained by
Sebastian Sosa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-13
Latest Update: 2026-01-13
Description:
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.
How to cite:
Sebastian Sosa (2026). BayesianInference: Bayesian Inference. R package version 0.0.1, https://cran.r-project.org/web/packages/BayesianInference. Accessed 08 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for BayesianInference
Functions, R codes and Examples using the BayesianInference R package
Full BayesianInference package functions and examples
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