Package: causact
Type: Package
Title: Fast, Easy, and Visual Bayesian Inference
Version: 0.6.0
Authors@R: c(person("Adam", "Fleischhacker", email = "ajf@udel.edu", role = c("aut", "cre","cph")),
    person("Daniela", "Dapena", role = "ctb"),
    person("Rose", "Nguyen", role = "ctb"),
    person("Jared", "Sharpe", role = "ctb")
    )
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. 
License: MIT + file LICENSE
URL: https://github.com/flyaflya/causact, https://www.causact.com/
BugReports: https://github.com/flyaflya/causact/issues
SystemRequirements: Python and numpyro are needed for Bayesian
        inference computations; python (>= 3.8) with header files and
        shared library; numpyro (= v0.12.1;
        https://https://num.pyro.ai/en/latest/index.html); arviz (=
        v0.15.1; https://https://python.arviz.org/en/stable/)
Encoding: UTF-8
LazyData: true
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)
RoxygenNote: 7.3.3
Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown, extraDistr,
        mvtnorm
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/reticulate: list( packages = list( list(package = "jax[cpu]",
        pip = TRUE), list(package = "numpyro[cpu]", pip = TRUE),
        list(package = "arviz", pip = TRUE) ) )
NeedsCompilation: no
Packaged: 2025-09-12 19:32:53 UTC; ajf
Author: Adam Fleischhacker [aut, cre, cph],
  Daniela Dapena [ctb],
  Rose Nguyen [ctb],
  Jared Sharpe [ctb]
Maintainer: Adam Fleischhacker <ajf@udel.edu>
Repository: CRAN
Date/Publication: 2025-09-12 20:00:02 UTC
Built: R 4.5.3; ; 2026-05-04 19:39:08 UTC; windows
