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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.

copied from cf-post-staging / r-causact
Type Size Name Uploaded Downloads Labels
conda 2.5 MB | noarch/r-causact-0.5.2-r42h785f33e_1.conda  2 years and 6 days ago 1339 main
conda 2.5 MB | noarch/r-causact-0.5.2-r43h785f33e_1.conda  2 years and 6 days ago 1359 main
conda 2.5 MB | noarch/r-causact-0.5.2-r42h785f33e_0.conda  2 years and 6 days ago 1330 main

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