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causact: Fast, Easy, and Visual Bayesian Inference
Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the 'numpyro' python package.
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Package details |
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| Author | Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb] |
| Maintainer | Adam Fleischhacker <ajf@udel.edu> |
| License | MIT + file LICENSE |
| Version | 0.5.3 |
| URL | https://github.com/flyaflya/causact https://www.causact.com/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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