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/install-tensorflow-greta-and-causact.html>. See <https://github.com/flyaflya/causact> or <https://www.causact.com/> for more documentation.
|Author||Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]|
|Maintainer||Adam Fleischhacker <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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