ggdag: Analyze and Create Elegant Directed Acyclic Graphs

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.

Version: 0.1.0
Depends: R (≥ 3.0.0), ggplot2
Imports: dagitty, ggraph, dplyr, purrr, stringr, tibble, forcats, ggrepel, igraph, magrittr, ggforce, plyr, tidygraph
Suggests: spelling, testthat, knitr, rmarkdown
Published: 2018-03-27
Author: Malcolm Barrett [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett at gmail.com>
BugReports: https://github.com/malcolmbarrett/ggdag/issues
License: MIT + file LICENSE
URL: https://ggdag.netlify.com https://github.com/malcolmbarrett/ggdag
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: ggdag results

Downloads:

Reference manual: ggdag.pdf
Vignettes: Common Structures of Bias
An Introduction to DAGs
An Introduction to ggdag
Package source: ggdag_0.1.0.tar.gz
Windows binaries: r-devel: ggdag_0.1.0.zip, r-release: ggdag_0.1.0.zip, r-oldrel: ggdag_0.1.0.zip
OS X binaries: r-release: ggdag_0.1.0.tgz, r-oldrel: not available

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