causact-package {causact} | R Documentation |
causact: Fast, Easy, and Visual Bayesian Inference
Description
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 interfacing with the 'numpyro' python package.
Author(s)
Maintainer: Adam Fleischhacker ajf@udel.edu [copyright holder]
Other contributors:
Daniela Dapena [contributor]
Rose Nguyen [contributor]
Jared Sharpe [contributor]
See Also
Useful links:
Report bugs at https://github.com/flyaflya/causact/issues
[Package causact version 0.5.7 Index]