ggdag

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ggdag

ggdag

v0.2.13
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.ggdag
Task views
Causal Inference
Reverse imports
159

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Causal Inference
Reverse imports
159

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.2.13
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
no
Reverse imports
159
Last observed
2026-05-30
CRAN
cran.r-project.org/package=ggdag

수집 소스별 패키지 정보

1개 소스
CRAN
0.2.13
2026-05-30
License
MIT + file LICENSE
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
Needs compilation
no
Reverse imports
159
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 21개
PackageTypeSpec
dagitty
CRAN · 0.2.13 · 2026-05-30
Importsdagitty
dplyr
CRAN · 0.2.13 · 2026-05-30
Importsdplyr
forcats
CRAN · 0.2.13 · 2026-05-30
Importsforcats
ggplot2
CRAN · 0.2.13 · 2026-05-30
Importsggplot2 (>= 3.0.0)
ggraph
CRAN · 0.2.13 · 2026-05-30
Importsggraph (>= 2.0.0)
1 / 5

이 패키지를 쓰는 패키지

5개 표시전체 12개
PackageTypeSpec
causalPAF
1.2.5
CRAN · 2026-05-30
Importsggdag
dcmstan
0.1.0
CRAN · 2026-05-30
Importsggdag
episensr
2.1.0
CRAN · 2026-05-30
Importsggdag
simDAG
1.0.0
CRAN · 2026-05-30
Importsggdag
CLRtools
0.1.1
CRAN · 2026-05-30
Suggestsggdag
1 / 3

Reverse dependency summary

2 types
TypePackages
Imports4
Suggests8

패키지 페이지

Reverse imports
8
Reverse suggests
16
All links
65
Repository
CRAN
Version
0.2.13
Collected
2026-05-25 06:17:49
Package page
https://cran.r-project.org/web/packages/ggdag/index.html
DOI
10.32614/CRAN.package.ggdag
CRAN checks
https://cran.r-project.org/web/checks/check_results_ggdag.html
README
https://cran.r-project.org/web/packages/ggdag/readme/README.html
NEWS
https://cran.r-project.org/web/packages/ggdag/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/ggdag/refman/ggdag.html
Reference PDF
https://cran.r-project.org/web/packages/ggdag/ggdag.pdf
Source package
https://cran.r-project.org/src/contrib/ggdag_0.2.13.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/ggdag
In views
CausalInference
Page fields
Author
Malcolm Barrett [aut, cre]
BugReports
https://github.com/r-causal/ggdag/issues
CRAN Checks
ggdag results
DOI
10.32614/CRAN.package.ggdag
In Views
CausalInference
Language
en-US
License
MIT + file LICENSE
Maintainer
Malcolm Barrett <malcolmbarrett at gmail.com>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
ggdag archive
Package Source
ggdag_0.2.13.tar.gz
Published
2024-07-22
Reference Manual
ggdag.html , ggdag.pdf
Reverse Imports
causalPAF , dcmstan , episensr , simDAG
Reverse Suggests
CLRtools , DAGassist , dagwood , epicmodel , mvGPS , performance , rixpress , see
URL
https://github.com/r-causal/ggdag , https://r-causal.github.io/ggdag/
Version
0.2.13
Vignettes
Common Structures of Bias ( source , R code ) An Introduction to Directed Acyclic Graphs ( source , R code ) An Introduction to ggdag ( source , R code )
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
Version
0.2.13
Published
2024-07-22
DOI
10.32614/CRAN.package.ggdag
10.32614/CRAN.package.ggdag
Author
Malcolm Barrett [aut, cre]
https://orcid.org/0000-0003-0299-5825
Maintainer
Malcolm Barrett <malcolmbarrett at gmail.com>
BugReports
https://github.com/r-causal/ggdag/issues
https://github.com/r-causal/ggdag/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://github.com/r-causal/ggdag , https://r-causal.github.io/ggdag/
https://github.com/r-causal/ggdaghttps://r-causal.github.io/ggdag/
NeedsCompilation
no
Language
en-US
Materials
README , NEWS
READMENEWS
In Views
CausalInference
CausalInference
CRAN Checks
ggdag results
ggdag results
Reference Manual
ggdag.html , ggdag.pdf
ggdag.htmlggdag.pdf
Vignettes
Common Structures of Bias ( source , R code ) An Introduction to Directed Acyclic Graphs ( source , R code ) An Introduction to ggdag ( source , R code )
Common Structures of BiassourceR codeAn Introduction to Directed Acyclic GraphssourceR codeAn Introduction to ggdagsourceR code
Package Source
ggdag_0.2.13.tar.gz
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
ggdag_0.2.13.zipggdag_0.2.13.zipggdag_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
ggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgz
Old Sources
ggdag archive
ggdag archive
Reverse Imports
causalPAF , dcmstan , episensr , simDAG
causalPAFdcmstanepisensrsimDAG
Reverse Suggests
CLRtools , DAGassist , dagwood , epicmodel , mvGPS , performance , rixpress , see
CLRtoolsDAGassistdagwoodepicmodelmvGPSperformancerixpresssee
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"ggdag.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/refman/ggdag.html"},{"label":"ggdag.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/ggdag.pdf"},{"label":"Common Structures of Bias","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/bias-structures.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/bias-structures.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/bias-structures.R"},{"label":"An Introduction to Directed Acyclic Graphs","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-dags.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-dags.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-dags.R"},{"label":"An Introduction to ggdag","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-ggdag.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-ggdag.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-ggdag.R"}]
Text
Reference manual: ggdag.html , ggdag.pdf Vignettes: Common Structures of Bias ( source , R code ) An Introduction to Directed Acyclic Graphs ( source , R code ) An Introduction to ggdag ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"ggdag_0.2.13.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ggdag_0.2.13.tar.gz"},{"label":"ggdag_0.2.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ggdag_0.2.13.zip"},{"label":"ggdag_0.2.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ggdag_0.2.13.zip"},{"label":"ggdag_0.2.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ggdag_0.2.13.zip"},{"label":"ggdag_0.2.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ggdag_0.2.13.tgz"},{"label":"ggdag_0.2.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ggdag_0.2.13.tgz"},{"label":"ggdag_0.2.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ggdag_0.2.13.tgz"},{"label":"ggdag_0.2.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ggdag_0.2.13.tgz"},{"label":"ggdag archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/ggdag"}]
Text
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
Heading
Reverse dependencies
Links
[{"label":"causalPAF","section":"","type":"","url":"https://cran.r-project.org/web/packages/causalPAF/index.html"},{"label":"dcmstan","section":"","type":"","url":"https://cran.r-project.org/web/packages/dcmstan/index.html"},{"label":"episensr","section":"","type":"","url":"https://cran.r-project.org/web/packages/episensr/index.html"},{"label":"simDAG","section":"","type":"","url":"https://cran.r-project.org/web/packages/simDAG/index.html"},{"label":"CLRtools","section":"","type":"","url":"https://cran.r-project.org/web/packages/CLRtools/index.html"},{"label":"DAGassist","section":"","type":"","url":"https://cran.r-project.org/web/packages/DAGassist/index.html"},{"label":"dagwood","section":"","type":"","url":"https://cran.r-project.org/web/packages/dagwood/index.html"},{"label":"epicmodel","section":"","type":"","url":"https://cran.r-project.org/web/packages/epicmodel/index.html"},{"label":"mvGPS","section":"","type":"","url":"https://cran.r-project.org/web/packages/mvGPS/index.html"},{"label":"performance","section":"","type":"","url":"https://cran.r-project.org/web/packages/performance/index.html"},{"label":"rixpress","section":"","type":"","url":"https://cran.r-project.org/web/packages/rixpress/index.html"},{"label":"see","section":"","type":"","url":"https://cran.r-project.org/web/packages/see/index.html"}]
Text
Reverse imports: causalPAF , dcmstan , episensr , simDAG Reverse suggests: CLRtools , DAGassist , dagwood , epicmodel , mvGPS , performance , rixpress , see
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=ggdag","section":"","type":"","url":"https://CRAN.R-project.org/package=ggdag"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=ggdag to link to this page.
Materials 2
READMENEWS
Documentation 11
ggdag.htmlggdag.pdfCommon Structures of BiassourceR codeAn Introduction to Directed Acyclic GraphssourceR codeAn Introduction to ggdagsourceR code
Vignettes 9
Common Structures of BiassourceR codeAn Introduction to Directed Acyclic GraphssourceR codeAn Introduction to ggdagsourceR code
Downloads 9
ggdag_0.2.13.tar.gzggdag_0.2.13.zipggdag_0.2.13.zipggdag_0.2.13.zipggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgzggdag archive
All page links 65
dagittydplyrforcatsggplot2ggraphggrepeligraphmagrittrpillarpurrrrlangstringrtibbletidygraphcovrknitrrmarkdownspellingtestthatvdiffrwithr10.32614/CRAN.package.ggdaghttps://orcid.org/0000-0003-0299-5825https://github.com/r-causal/ggdag/issuesMITLICENSEhttps://github.com/r-causal/ggdaghttps://r-causal.github.io/ggdag/READMENEWSCausalInferenceggdag resultsggdag.htmlggdag.pdfCommon Structures of BiassourceR codeAn Introduction to Directed Acyclic GraphssourceR codeAn Introduction to ggdagsourceR codeggdag_0.2.13.tar.gzggdag_0.2.13.zipggdag_0.2.13.zipggdag_0.2.13.zipggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgzggdag_0.2.13.tgzggdag archivecausalPAFdcmstanepisensrsimDAGCLRtoolsDAGassistdagwoodepicmodelmvGPSperformancerixpressseehttps://CRAN.R-project.org/package=ggdag

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.2.132026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Causal Inference · 2026-05-30