DESCRIPTION

Package: causact
Type: Package
Title: Fast, Easy, and Visual Bayesian Inference
Version: 0.5.7.9000
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: 7.3.2
Suggests: 
    knitr,
    covr,
    testthat (>= 3.0.0),
    rmarkdown,
    extraDistr,
    mvtnorm
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Config/reticulate:
  list(
    packages = list(
      list(package = "jax[cpu]", pip = TRUE),
      list(package = "numpyro[cpu]", pip = TRUE),
      list(package = "arviz", pip = TRUE)
    )
  )