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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-0.5.5-r44h785f33e_1.conda  1 year and 25 days ago 1015 main
conda 2.5 MB | noarch/r-causact-0.5.5-r43h785f33e_1.conda  1 year and 25 days ago 986 main
conda 2.5 MB | noarch/r-causact-0.5.5-r43h785f33e_0.conda  1 year and 4 months ago 1163 main
conda 2.5 MB | noarch/r-causact-0.5.5-r42h785f33e_0.conda  1 year and 4 months ago 1205 main

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