BCDAG

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / BCDAG

BCDAG

v1.1.3

BCDAG

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.BCDAG

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

1.1.3

License

MIT + file LICENSE

Lifecycle

active

Needs compilation

Last observed

2026-05-30

CRAN: cran.r-project.org/package=BCDAG

수집 소스별 패키지 정보

1개 소스

CRAN

1.1.3

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 2.10)

Imports

graph, graphics, gRbase, Rgraphviz, grDevices, lattice, methods, mvtnorm, stats, utils

Suggests

rmarkdown, knitr, testthat (>= 3.0.0)

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 13개

Package	Type	Spec
graph CRAN · 1.1.3 · 2026-05-30	Imports	graph
graphics CRAN · 1.1.3 · 2026-05-30	Imports	graphics
gRbase CRAN · 1.1.3 · 2026-05-30	Imports	gRbase
grDevices CRAN · 1.1.3 · 2026-05-30	Imports	grDevices
lattice CRAN · 1.1.3 · 2026-05-30	Imports	lattice
methods CRAN · 1.1.3 · 2026-05-30	Imports	methods
mvtnorm CRAN · 1.1.3 · 2026-05-30	Imports	mvtnorm
Rgraphviz CRAN · 1.1.3 · 2026-05-30	Imports	Rgraphviz
stats CRAN · 1.1.3 · 2026-05-30	Imports	stats
utils CRAN · 1.1.3 · 2026-05-30	Imports	utils
knitr CRAN · 1.1.3 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 1.1.3 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 1.1.3 · 2026-05-30	Suggests	testthat (>= 3.0.0)
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1 / 3

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0개 표시전체 0개

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패키지 페이지

All links

Repository: CRAN
Version: 1.1.3
Collected: 2026-05-21 03:51:02
Package page: https://cran.r-project.org/web/packages/BCDAG/index.html
DOI: 10.32614/CRAN.package.BCDAG
CRAN checks: https://cran.r-project.org/web/checks/check_results_BCDAG.html
README: https://cran.r-project.org/web/packages/BCDAG/readme/README.html
NEWS: https://cran.r-project.org/web/packages/BCDAG/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/BCDAG/refman/BCDAG.html
Reference PDF: https://cran.r-project.org/web/packages/BCDAG/BCDAG.pdf
Source package: https://cran.r-project.org/src/contrib/BCDAG_1.1.3.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/BCDAG

Page fields

Author: Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph]
BugReports: https://github.com/alesmascaro/BCDAG/issues
CRAN Checks: BCDAG results
DOI: 10.32614/CRAN.package.BCDAG
License: MIT + file LICENSE
Maintainer: Alessandro Mascaro <alessandro.mascaro at upf.edu>
Materials: README , NEWS
NeedsCompilation: no
Old Sources: BCDAG archive
Package Source: BCDAG_1.1.3.tar.gz
Published: 2025-02-28
Reference Manual: BCDAG.html , BCDAG.pdf
URL: https://github.com/alesmascaro/BCDAG
Version: 1.1.3
Vignettes: Random data generation from Gaussian DAG models ( source , R code ) Elaborate on the output of 'learn_DAG()' using get_ functions ( source , R code ) MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' function ( source , R code )
Windows Binaries: r-devel: BCDAG_1.1.3.zip , r-release: BCDAG_1.1.3.zip , r-oldrel: BCDAG_1.1.3.zip
MacOS Binaries: r-release (arm64): BCDAG_1.1.3.tgz , r-oldrel (arm64): BCDAG_1.1.3.tgz , r-release (x86_64): BCDAG_1.1.3.tgz , r-oldrel (x86_64): BCDAG_1.1.3.tgz

Version

1.1.3

Published

2025-02-28

DOI

10.32614/CRAN.package.BCDAG

Author

Federico Castelletti [aut], Alessandro Mascaro [aut, cre, cph]

Maintainer

Alessandro Mascaro <alessandro.mascaro at upf.edu>

BugReports

https://github.com/alesmascaro/BCDAG/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://github.com/alesmascaro/BCDAG

NeedsCompilation

Materials

README , NEWS

README NEWS

CRAN Checks

BCDAG results

Reference Manual

BCDAG.html , BCDAG.pdf

BCDAG.html BCDAG.pdf

Vignettes

Random data generation from Gaussian DAG models ( source , R code ) Elaborate on the output of 'learn_DAG()' using get_ functions ( source , R code ) MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' function ( source , R code )

Random data generation from Gaussian DAG models source R code Elaborate on the output of 'learn_DAG()' using get_ functions source R code MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' fu...source R code

Package Source

BCDAG_1.1.3.tar.gz

Windows Binaries

r-devel: BCDAG_1.1.3.zip , r-release: BCDAG_1.1.3.zip , r-oldrel: BCDAG_1.1.3.zip

BCDAG_1.1.3.zip BCDAG_1.1.3.zip BCDAG_1.1.3.zip

MacOS Binaries

r-release (arm64): BCDAG_1.1.3.tgz , r-oldrel (arm64): BCDAG_1.1.3.tgz , r-release (x86_64): BCDAG_1.1.3.tgz , r-oldrel (x86_64): BCDAG_1.1.3.tgz

BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz

Old Sources

BCDAG archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"BCDAG.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/refman/BCDAG.html"},{"label":"BCDAG.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/BCDAG.pdf"},{"label":"Random data generation from Gaussian DAG models","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_generatedata.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_generatedata.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_generatedata.R"},{"label":"Elaborate on the output of 'learn_DAG()' using get_ functions","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_getfamily.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_getfamily.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_getfamily.R"},{"label":"MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' function","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_learnDAG.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_learnDAG.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/BCDAG/vignettes/bcdag_learnDAG.R"}]

Text

Reference manual: BCDAG.html , BCDAG.pdf Vignettes: Random data generation from Gaussian DAG models ( source , R code ) Elaborate on the output of 'learn_DAG()' using get_ functions ( source , R code ) MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' function ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"BCDAG_1.1.3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/BCDAG_1.1.3.tar.gz"},{"label":"BCDAG_1.1.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/BCDAG_1.1.3.zip"},{"label":"BCDAG_1.1.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/BCDAG_1.1.3.zip"},{"label":"BCDAG_1.1.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/BCDAG_1.1.3.zip"},{"label":"BCDAG_1.1.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/BCDAG_1.1.3.tgz"},{"label":"BCDAG_1.1.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/BCDAG_1.1.3.tgz"},{"label":"BCDAG_1.1.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/BCDAG_1.1.3.tgz"},{"label":"BCDAG_1.1.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/BCDAG_1.1.3.tgz"},{"label":"BCDAG archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/BCDAG"}]

Text

Package source: BCDAG_1.1.3.tar.gz Windows binaries: r-devel: BCDAG_1.1.3.zip , r-release: BCDAG_1.1.3.zip , r-oldrel: BCDAG_1.1.3.zip macOS binaries: r-release (arm64): BCDAG_1.1.3.tgz , r-oldrel (arm64): BCDAG_1.1.3.tgz , r-release (x86_64): BCDAG_1.1.3.tgz , r-oldrel (x86_64): BCDAG_1.1.3.tgz Old sources: BCDAG archive

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=BCDAG","section":"","type":"","url":"https://CRAN.R-project.org/package=BCDAG"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=BCDAG to link to this page.

Materials 2

README NEWS

Documentation 11

BCDAG.html BCDAG.pdf Random data generation from Gaussian DAG models source R code Elaborate on the output of 'learn_DAG()' using get_ functions source R code MCMC scheme for posterior inference of Gaussian DAG models: the 'learn_DAG()' function source R code

Vignettes 9

Downloads 9

BCDAG_1.1.3.tar.gz BCDAG_1.1.3.zip BCDAG_1.1.3.zip BCDAG_1.1.3.zip BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz BCDAG_1.1.3.tgz BCDAG archive

All page links 42

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.1.3		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.