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 (<https://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: | 0.2.13 |
| 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 |
| Published: | 2024-07-22 |
| DOI: | 10.32614/CRAN.package.ggdag |
| Author: | Malcolm Barrett 
[aut, cre] |
| Maintainer: | Malcolm Barrett <malcolmbarrett at gmail.com> |
| BugReports: | https://github.com/r-causal/ggdag/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/r-causal/ggdag, https://r-causal.github.io/ggdag/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | ggdag results |
Documentation:
| Reference manual: | ggdag.pdf |
| Vignettes: |
Common Structures of Bias An Introduction to Directed Acyclic Graphs An Introduction to ggdag |
Downloads:
| Package source: | ggdag_0.2.13.tar.gz |
| Windows binaries: | r-devel: ggdag_0.2.13.zip, r-release: ggdag_0.2.13.zip, r-oldrel: ggdag_0.2.13.zip |
| macOS binaries: | r-release (arm64): ggdag_0.2.13.tgz, r-oldrel (arm64): ggdag_0.2.13.tgz, r-release (x86_64): ggdag_0.2.13.tgz, r-oldrel (x86_64): ggdag_0.2.13.tgz |
| Old sources: | ggdag archive |
Reverse dependencies:
| Reverse imports: | causalPAF, episensr |
| Reverse suggests: | dagwood, epicmodel, mvGPS, performance, see |
Linking:
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