causact: Accelerated Bayesian Analytics with DAGs

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.

Getting started

Package details

AuthorAdam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]
MaintainerAdam Fleischhacker <ajf@udel.edu>
LicenseMIT + file LICENSE
Version0.4.0
URL https://github.com/flyaflya/causact https://www.causact.com/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("causact")

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causact documentation built on Jan. 26, 2021, 1:07 a.m.