CRAN/E | ggdag

ggdag

Analyze and Create Elegant Directed Acyclic Graphs

Installation

About

Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool () 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.

github.com/r-causal/ggdag
r-causal.github.io/ggdag/
Bug report File report

Key Metrics

Version 0.2.12
R ≥ 3.4.0
Published 2024-03-08 190 days ago
Needs compilation? no
License MIT
License File
CRAN checks ggdag results
Language en-US

Downloads

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Maintainer

Maintainer

Malcolm Barrett

[email protected]

Authors

Malcolm Barrett

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Common Structures of Bias
An Introduction to Directed Acyclic Graphs
An Introduction to ggdag

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ggdag archive

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

Reverse Imports

causalPAF
CausalQueries
episensr

Reverse Suggests

dagwood
marginaleffects
mvGPS