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: 0.2.0
Depends: ggplot2 (≥ 3.0.0), R (≥ 3.2.0)
Imports: dagitty, dplyr, forcats, ggforce, ggraph (≥ 2.0.0), ggrepel, igraph, magrittr, pillar, plyr, purrr, stringr, tibble, tidygraph
Suggests: knitr, rmarkdown, spelling, testthat
Published: 2019-09-12
Author: Malcolm Barrett ORCID iD [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett at gmail.com>
BugReports: https://github.com/malcolmbarrett/ggdag/issues
License: MIT + file LICENSE
URL: https://github.com/malcolmbarrett/ggdag
NeedsCompilation: no
Language: en-US
Materials: README NEWS
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_0.2.0.tar.gz
Windows binaries: r-devel: ggdag_0.2.0.zip, r-devel-gcc8: ggdag_0.2.0.zip, r-release: ggdag_0.2.0.zip, r-oldrel: ggdag_0.2.0.zip
OS X binaries: r-release: ggdag_0.2.0.tgz, r-oldrel: ggdag_0.2.0.tgz
Old sources: ggdag archive

Reverse dependencies:

Reverse suggests: mcmcabn

Linking:

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