abn

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / abn

abn

v3.1.13
Repository CRANLicense GPL (>= 3)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADME
DOI
10.32614/CRAN.package.abn
Task views
Graphical Models

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Graphical Models
Scholarly mentions
35

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
3.1.13
License
GPL (>= 3)
Lifecycle
active
Needs compilation
yes
Last observed
2026-06-04
CRAN
cran.r-project.org/package=abn

Build fields

LinkingTo
2
RcppRcppArmadillo

수집 소스별 패키지 정보

1개 소스
CRAN
3.1.13
2026-06-04
License
GPL (>= 3)
Depends
R (>= 4.0.0)
Imports
doParallel, foreach, glmmTMB, graph, jsonlite, lme4, mclogit, methods, nnet, Rcpp, Rgraphviz, rjags, stringi
Suggests
bookdown, boot, brglm, devtools (>= 2.4.5), ggplot2, gridExtra, INLA, knitr, Matrix, MatrixModels (>= 0.5.3), microbenchmark, R.rsp, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0), entropy, moments, R6
LinkingTo
Rcpp, RcppArmadillo
Needs compilation
yes
Lifecycle
active
Last observed
2026-06-04 01:07:22

이 패키지가 의존하는 패키지

5개 표시전체 33개
PackageTypeSpec
doParallel
CRAN · 3.1.13 · 2026-06-04
ImportsdoParallel
foreach
CRAN · 3.1.13 · 2026-06-04
Importsforeach
glmmTMB
CRAN · 3.1.13 · 2026-06-04
ImportsglmmTMB
graph
CRAN · 3.1.13 · 2026-06-04
Importsgraph
jsonlite
CRAN · 3.1.13 · 2026-06-04
Importsjsonlite
1 / 7

이 패키지를 쓰는 패키지

0개 표시전체 0개
PackageTypeSpec
표시할 dependency edge가 없습니다.
1 / 1

패키지 페이지

All links
77
Repository
CRAN
Version
3.1.13
Collected
2026-05-20 18:23:29
Package page
https://cran.r-project.org/web/packages/abn/index.html
DOI
10.32614/CRAN.package.abn
Citation
https://cran.r-project.org/web/packages/abn/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_abn.html
README
https://cran.r-project.org/web/packages/abn/readme/README.html
Reference HTML
https://cran.r-project.org/web/packages/abn/refman/abn.html
Reference PDF
https://cran.r-project.org/web/packages/abn/abn.pdf
Source package
https://cran.r-project.org/src/contrib/abn_3.1.13.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/abn
In views
GraphicalModels
Page fields
Additional Repositories
https://inla.r-inla-download.org/R/stable/
Author
Matteo Delucchi [aut, cre], Reinhard Furrer [aut], Gilles Kratzer [aut], Fraser Iain Lewis [aut], Jonas I. Liechti [ctb], Marta Pittavino [ctb], Kalina Cherneva [ctb]
BugReports
https://github.com/furrer-lab/abn/issues
CRAN Checks
abn results
Citation
abn citation info
DOI
10.32614/CRAN.package.abn
In Views
GraphicalModels
License
GPL (≥ 3)
LinkingTo
Rcpp , RcppArmadillo
Maintainer
Matteo Delucchi <matteo.delucchi at math.uzh.ch>
Materials
README
NeedsCompilation
yes
Old Sources
abn archive
Package Source
abn_3.1.13.tar.gz
Published
2025-12-19
Reference Manual
abn.html , abn.pdf
SystemRequirements
pkg-config, cmake, gsl, jpeg, gdal, geos, proj, udunits-2, openssl, libcurl, jags
URL
https://r-bayesian-networks.org/ , https://github.com/furrer-lab/abn
Version
3.1.13
Vignettes
Data Simulation ( source ) Mixed-effect Bayesian Network Model ( source , R code ) Model Specification: Build a Cache of Scores ( source , R code ) Parallelisation ( source ) Parameter Learning ( source ) Quick Start Example ( source , R code ) Bayesian Network Structure Learning ( source , R code )
Windows Binaries
r-devel: abn_3.1.13.zip , r-release: abn_3.1.13.zip , r-oldrel: abn_3.1.13.zip
MacOS Binaries
r-release (arm64): abn_3.1.13.tgz , r-oldrel (arm64): abn_3.1.13.tgz , r-release (x86_64): abn_3.1.13.tgz , r-oldrel (x86_64): abn_3.1.13.tgz
Version
3.1.13
LinkingTo
Rcpp , RcppArmadillo
RcppRcppArmadillo
Published
2025-12-19
DOI
10.32614/CRAN.package.abn
10.32614/CRAN.package.abn
Author
Matteo Delucchi [aut, cre], Reinhard Furrer [aut], Gilles Kratzer [aut], Fraser Iain Lewis [aut], Jonas I. Liechti [ctb], Marta Pittavino [ctb], Kalina Cherneva [ctb]
https://orcid.org/0000-0002-9327-1496https://orcid.org/0000-0002-6319-2332https://orcid.org/0000-0002-5929-8935https://orcid.org/0000-0003-4580-2712https://orcid.org/0000-0003-3447-3060https://orcid.org/0000-0002-1232-1034
Maintainer
Matteo Delucchi <matteo.delucchi at math.uzh.ch>
BugReports
https://github.com/furrer-lab/abn/issues
https://github.com/furrer-lab/abn/issues
License
GPL (≥ 3)
GPL (≥ 3)
URL
https://r-bayesian-networks.org/ , https://github.com/furrer-lab/abn
https://r-bayesian-networks.org/https://github.com/furrer-lab/abn
NeedsCompilation
yes
SystemRequirements
pkg-config, cmake, gsl, jpeg, gdal, geos, proj, udunits-2, openssl, libcurl, jags
Additional Repositories
https://inla.r-inla-download.org/R/stable/
https://inla.r-inla-download.org/R/stable/
Citation
abn citation info
abn citation info
Materials
README
README
In Views
GraphicalModels
GraphicalModels
CRAN Checks
abn results
abn results
Reference Manual
abn.html , abn.pdf
abn.htmlabn.pdf
Vignettes
Data Simulation ( source ) Mixed-effect Bayesian Network Model ( source , R code ) Model Specification: Build a Cache of Scores ( source , R code ) Parallelisation ( source ) Parameter Learning ( source ) Quick Start Example ( source , R code ) Bayesian Network Structure Learning ( source , R code )
Data SimulationsourceMixed-effect Bayesian Network ModelsourceR codeModel Specification: Build a Cache of ScoressourceR codeParallelisationsourceParameter LearningsourceQuick Start ExamplesourceR codeBayesian Network Structure LearningsourceR code
Package Source
abn_3.1.13.tar.gz
abn_3.1.13.tar.gz
Windows Binaries
r-devel: abn_3.1.13.zip , r-release: abn_3.1.13.zip , r-oldrel: abn_3.1.13.zip
abn_3.1.13.zipabn_3.1.13.zipabn_3.1.13.zip
MacOS Binaries
r-release (arm64): abn_3.1.13.tgz , r-oldrel (arm64): abn_3.1.13.tgz , r-release (x86_64): abn_3.1.13.tgz , r-oldrel (x86_64): abn_3.1.13.tgz
abn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgz
Old Sources
abn archive
abn archive
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"abn.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/refman/abn.html"},{"label":"abn.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/abn.pdf"},{"label":"Data Simulation","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/data_simulation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/data_simulation.Rmd"},{"label":"Mixed-effect Bayesian Network Model","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/mixed_effect_BN_model.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/mixed_effect_BN_model.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/mixed_effect_BN_model.R"},{"label":"Model Specification: Build a Cache of Scores","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/model_specification.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/model_specification.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/model_specification.R"},{"label":"Parallelisation","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/multiprocessing.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/multiprocessing.Rmd"},{"label":"Parameter Learning","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/parameter_learning.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/parameter_learning.Rmd"},{"label":"Quick Start Example","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/quick_start_example.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/quick_start_example.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/quick_start_example.R"},{"label":"Bayesian Network Structure Learning","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/structure_learning.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/structure_learning.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/abn/vignettes/structure_learning.R"}]
Text
Reference manual: abn.html , abn.pdf Vignettes: Data Simulation ( source ) Mixed-effect Bayesian Network Model ( source , R code ) Model Specification: Build a Cache of Scores ( source , R code ) Parallelisation ( source ) Parameter Learning ( source ) Quick Start Example ( source , R code ) Bayesian Network Structure Learning ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"abn_3.1.13.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/abn_3.1.13.tar.gz"},{"label":"abn_3.1.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/abn_3.1.13.zip"},{"label":"abn_3.1.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/abn_3.1.13.zip"},{"label":"abn_3.1.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/abn_3.1.13.zip"},{"label":"abn_3.1.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/abn_3.1.13.tgz"},{"label":"abn_3.1.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/abn_3.1.13.tgz"},{"label":"abn_3.1.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/abn_3.1.13.tgz"},{"label":"abn_3.1.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/abn_3.1.13.tgz"},{"label":"abn archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/abn"}]
Text
Package source: abn_3.1.13.tar.gz Windows binaries: r-devel: abn_3.1.13.zip , r-release: abn_3.1.13.zip , r-oldrel: abn_3.1.13.zip macOS binaries: r-release (arm64): abn_3.1.13.tgz , r-oldrel (arm64): abn_3.1.13.tgz , r-release (x86_64): abn_3.1.13.tgz , r-oldrel (x86_64): abn_3.1.13.tgz Old sources: abn archive
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=abn","section":"","type":"","url":"https://CRAN.R-project.org/package=abn"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=abn to link to this page.
Materials 1
README
Documentation 20
abn.htmlabn.pdfData SimulationsourceMixed-effect Bayesian Network ModelsourceR codeModel Specification: Build a Cache of ScoressourceR codeParallelisationsourceParameter LearningsourceQuick Start ExamplesourceR codeBayesian Network Structure LearningsourceR code
Vignettes 18
Data SimulationsourceMixed-effect Bayesian Network ModelsourceR codeModel Specification: Build a Cache of ScoressourceR codeParallelisationsourceParameter LearningsourceQuick Start ExamplesourceR codeBayesian Network Structure LearningsourceR code
Downloads 9
abn_3.1.13.tar.gzabn_3.1.13.zipabn_3.1.13.zipabn_3.1.13.zipabn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgzabn archive
All page links 77
doParallelforeachglmmTMBgraphjsonlitelme4mclogitmethodsnnetRcppRgraphvizrjagsstringiRcppArmadillobookdownbootbrglmdevtoolsggplot2gridExtraknitrMatrixMatrixModelsmicrobenchmarkR.rspRhpcBLASctlrmarkdowntestthatentropymomentsR610.32614/CRAN.package.abnhttps://orcid.org/0000-0002-9327-1496https://orcid.org/0000-0002-6319-2332https://orcid.org/0000-0002-5929-8935https://orcid.org/0000-0003-4580-2712https://orcid.org/0000-0003-3447-3060https://orcid.org/0000-0002-1232-1034https://github.com/furrer-lab/abn/issuesGPL (≥ 3)https://r-bayesian-networks.org/https://github.com/furrer-lab/abnhttps://inla.r-inla-download.org/R/stable/abn citation infoREADMEGraphicalModelsabn resultsabn.htmlabn.pdfData SimulationsourceMixed-effect Bayesian Network ModelsourceR codeModel Specification: Build a Cache of ScoressourceR codeParallelisationsourceParameter LearningsourceQuick Start ExamplesourceR codeBayesian Network Structure LearningsourceR codeabn_3.1.13.tar.gzabn_3.1.13.zipabn_3.1.13.zipabn_3.1.13.zipabn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgzabn_3.1.13.tgzabn archivehttps://CRAN.R-project.org/package=abn

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN3.1.122025-11-252026-05-312026-05-31
CRAN3.1.92025-06-262026-05-312026-05-31
CRAN3.1.82025-06-242026-05-312026-05-31
CRAN3.1.72025-06-062026-05-312026-05-31
CRAN3.1.12024-05-302026-05-312026-05-31
CRAN3.0.62024-03-222026-05-312026-05-31
CRAN3.0.42023-11-302026-05-312026-05-31
CRAN3.0.32023-11-032026-05-312026-05-31
CRAN3.0.22023-10-262026-05-312026-05-31
CRAN3.0.12023-10-092026-05-312026-05-31
CRAN3.0.02023-09-062026-05-312026-05-31
CRAN2.7-52023-05-222026-05-312026-05-31
CRAN2.7-32023-01-252026-05-312026-05-31
CRAN2.7-12022-04-252026-05-312026-05-31
CRAN2.7-02022-04-072026-05-312026-05-31
CRAN2.6-02022-01-072026-05-312026-05-31
CRAN2.5-02021-04-232026-05-312026-05-31
CRAN2.3-02020-10-222026-05-312026-05-31
CRAN2.2.22020-07-022026-05-312026-05-31
CRAN2.2.12020-06-152026-05-312026-05-31
CRAN2.22019-11-232026-05-312026-05-31
CRAN2.12019-07-042026-05-312026-05-31
CRAN2.02019-07-012026-05-312026-05-31
CRAN1.32018-11-222026-05-312026-05-31
CRAN1.22018-08-102026-05-312026-05-31
CRAN1.0.22016-11-092026-05-312026-05-31
CRAN1.02016-01-182026-05-312026-05-31
CRAN0.862015-12-282026-05-312026-05-31
CRAN0.852014-12-222026-05-312026-05-31
CRAN0.832013-03-072026-05-312026-05-31
CRAN0.822013-01-042026-05-312026-05-31
CRAN0.82012-10-262026-05-312026-05-31
CRAN0.72012-07-112026-05-312026-05-31
CRAN0.5-12011-11-172026-05-312026-05-31
CRAN0.3-12011-07-262026-05-312026-05-31
CRAN3.1.132026-06-012026-06-04

보안

Bioconductor 3.1.13
Vulnerabilities 0
2026-06-03
Bioconductor 3.1.13
Vulnerabilities 0
2026-06-03
Bioconductor 3.1.13
Vulnerabilities 0
2026-06-04
Bioconductor 3.1.13
Vulnerabilities 0
2026-06-03
CRAN 3.1.13
Vulnerabilities 0
2026-06-04
CRAN 3.1.13
Vulnerabilities 0
2026-06-03
CRAN 3.1.13
Vulnerabilities 0
2026-06-03

문헌 신호

Additive Bayesian Network Modelling with the R Package abn
검색 결과 35 · 인용 10
"R package abn" · 2,019 · https://openalex.org/W2990210771 · 2026-05-07 · 3.1.13

CRAN Task Views

Graphical Models · 2026-06-04