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causact  

Fast, Easy, and Visual Bayesian Inference
View on CRAN: Click here


Download and install causact package within the R console
Install from CRAN:
install.packages("causact")

Install from Github:
library("remotes")
install_github("cran/causact")

Install by package version:
library("remotes")
install_version("causact", "0.6.0")



Attach the package and use:
library("causact")
Maintained by
Adam Fleischhacker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-24
Latest Update: 2025-01-15
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.
How to cite:
Adam Fleischhacker (2020). causact: Fast, Easy, and Visual Bayesian Inference. R package version 0.6.0, https://cran.r-project.org/web/packages/causact. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:24), 0.3.1 (2020-06-24 10:40), 0.3.2 (2020-07-09 07:00), 0.3.3 (2020-07-25 06:40), 0.4.0 (2021-01-25 18:00), 0.4.1 (2022-01-19 18:22), 0.4.2 (2022-06-14 18:00), 0.5.2 (2023-08-19 15:22), 0.5.3 (2023-09-05 21:50), 0.5.4 (2024-02-25 04:10), 0.5.5 (2024-04-25 00:10), 0.5.7 (2025-01-15 22:20), 0.5.8 (2025-08-22 20:10)
Other packages that cited causact R package
View causact citation profile
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Complete documentation for causact
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