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causact

Fast, Easy, and Visual Bayesian Inference

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.

Versions across snapshots

VersionRepositoryFileSize
0.6.0 rolling linux/jammy R-4.5 causact_0.6.0.tar.gz 2.5 MiB
0.6.0 rolling linux/noble R-4.5 causact_0.6.0.tar.gz 2.5 MiB
0.6.0 rolling source/ R- causact_0.6.0.tar.gz 4.0 MiB
0.6.0 latest linux/jammy R-4.5 causact_0.6.0.tar.gz 2.5 MiB
0.6.0 latest linux/noble R-4.5 causact_0.6.0.tar.gz 2.5 MiB
0.6.0 latest source/ R- causact_0.6.0.tar.gz 4.0 MiB
0.6.0 2026-04-26 source/ R- causact_0.6.0.tar.gz 4.0 MiB
0.6.0 2026-04-23 source/ R- causact_0.6.0.tar.gz 4.0 MiB
0.6.0 2026-04-09 windows/windows R-4.5 causact_0.6.0.zip 2.5 MiB
0.5.7 2025-04-20 source/ R- causact_0.5.7.tar.gz 4.0 MiB

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