Package: ggdag
Title: Analyze and Create Elegant Directed Acyclic Graphs
Version: 0.2.10
Authors@R: 
    person("Malcolm", "Barrett", , "malcolmbarrett@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0299-5825"))
Description: Tidy, analyze, and plot directed acyclic graphs (DAGs).
    'ggdag' is built on top of 'dagitty', an R package that uses the
    'DAGitty' web tool (<http://dagitty.net>) for creating and analyzing
    DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using
    'ggplot2' and 'ggraph', as well as common analytic and graphical
    functions, such as determining adjustment sets and node relationships.
License: MIT + file LICENSE
URL: https://github.com/r-causal/ggdag,
        https://r-causal.github.io/ggdag//
BugReports: https://github.com/r-causal/ggdag/issues
Depends: R (>= 3.4.0)
Imports: dagitty, dplyr, forcats, ggplot2 (>= 3.0.0), ggraph (>=
        2.0.0), ggrepel, igraph, magrittr, pillar, purrr, rlang,
        stringr, tibble, tidygraph
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr
        (>= 1.0.2), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-05-28 16:16:40 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-28 23:30:02 UTC
Built: R 4.3.1; ; 2023-11-05 19:24:58 UTC; unix
