causact

causact-package

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.

internal

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.

Adam Fleischhacker

Fast, Easy, and Visual Bayesian Inference

Daniela Dapena

Rose Nguyen

Jared Sharpe

causact-package function

Maintainer: Adam Fleischhacker <a href="/link/ajf%40udel.edu?package=causact&version=0.5.7" data-mini-rdoc="causact::ajf@udel.edu">ajf@udel.edu</a> [copyright holder]
Other contributors:<ul>
<li>Daniela Dapena [contributor]</li>
<li>Rose Nguyen [contributor]</li>
<li>Jared Sharpe [contributor]</li>
</ul>

Author

causact: Fast, Easy, and Visual Bayesian Inference — causact-package

Maintainer: Adam Fleischhacker <a href='mailto:ajf@udel.edu'>ajf@udel.edu</a> [copyright holder]
Other contributors:<ul>
<li>Daniela Dapena [contributor]</li>
<li>Rose Nguyen [contributor]</li>
<li>Jared Sharpe [contributor]</li>
</ul>

causact-package: causact: Fast, Easy, and Visual Bayesian Inference

Description

Arguments

Author

See Also