causact-package: causact: Fast, Easy, and Visual Bayesian Inference
In causact: Fast, Easy, and Visual Bayesian Inference
causact-package 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:
causact documentation built on Sept. 8, 2023, 5:46 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| causact-package | 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:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.