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 the sleek and elegant 'greta' package for Bayesian inference. 'greta', in turn, is an interface into 'TensorFlow' from 'R'. Install 'greta' using instructions available here: <https://www.causact.com/installtensorflowgretaandcausact.html>. See <https://github.com/flyaflya/causact> or <https://www.causact.com/> for more documentation.
Package details 


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  0.4.0 
URL  https://github.com/flyaflya/causact https://www.causact.com/ 
Package repository  View on CRAN 
Installation 
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