Package: causact
Type: Package
Title: Accelerated Bayesian Analytics with DAGs
Version: 0.4.1
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 the sleek and elegant 'greta' package for 
    Bayesian inference. 'greta', in turn, is an interface into 'TensorFlow' from 'R'. 
    Install 'greta' using instructions available here: <https://www.causact.com/install-tensorflow-greta-and-causact.html>.
    See <https://github.com/flyaflya/causact> or <https://www.causact.com/> for more documentation.
License: MIT + file LICENSE
URL: https://github.com/flyaflya/causact, https://www.causact.com/
BugReports: https://github.com/flyaflya/causact/issues
SystemRequirements: Python and TensorFlow are needed for Bayesian
        inference computations; Python (>= 2.7.0) with header files and
        shared library; TensorFlow (= v1.14;
        https://www.tensorflow.org/); TensorFlow Probability (= v0.7.0;
        https://www.tensorflow.org/probability/)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
Imports: DiagrammeR (>= 1.0.7), dplyr (>= 0.8.5), magrittr (>= 1.5),
        ggplot2 (>= 3.3.0), rlang (>= 0.4.6), greta (>= 0.3.1), purrr
        (>= 0.3.4), tidyr (>= 1.0.3), igraph (>= 1.2.5), stringr (>=
        1.4.0), cowplot (>= 1.0.0), coda (>= 0.19.3), forcats (>=
        0.5.0), htmlwidgets (>= 1.5.1), rstudioapi (>= 0.11)
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-01-19 17:05:37 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: 2022-01-19 17:22:43 UTC
Built: R 4.0.5; ; 2022-04-21 12:25:59 UTC; windows
