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
| Version | Repository | File | Size |
|---|---|---|---|
0.6.0 |
2026-04-09 windows/windows R-4.5 | causact_0.6.0.zip |
2.5 MiB |
Dependencies (latest)
Imports
- DiagrammeR (>= 1.0.9)
- dplyr (>= 1.0.8)
- magrittr (>= 1.5)
- ggplot2 (>= 3.4.0)
- rlang (>= 1.0.2)
- purrr (>= 1.0.0)
- tidyr (>= 1.1.4)
- igraph (>= 1.2.7)
- stringr (>= 1.4.1)
- cowplot (>= 1.1.0)
- forcats (>= 0.5.0)
- rstudioapi (>= 0.11)
- lifecycle (>= 1.0.2)
- reticulate (>= 1.30)