Fast, Easy, and Visual Bayesian Inference R package causact version 0.6.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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. Software Depends: R (>= 4.1.0) 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) Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown, extraDistr, mvtnorm Adam Fleischhacker <ajf@udel.edu> Comprehensive R Archive Network (CRAN) Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=causact/LICENSE) 2025-09-12 application/tgz https://CRAN.R-project.org/package=causact doi:10.32614/CRAN.package.causact