RoBMA

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / RoBMA

RoBMA

v4.0.0
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.RoBMA
Task views
Bayesian Inference, Meta-Analysis

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

1
Task views
Bayesian Inference, Meta-Analysis

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
4.0.0
License
GPL-3
Lifecycle
active
Needs compilation
yes
Last observed
2026-06-04
CRAN
cran.r-project.org/package=RoBMA

Build fields

LinkingTo
1
mvtnorm

수집 소스별 패키지 정보

1개 소스
CRAN
4.0.0
2026-06-04
License
GPL-3
Depends
R (>= 4.0.0)
Imports
BayesTools (>= 0.3.0), bridgesampling, loo, MASS, parallel, runjags, rjags, stats, graphics, mvtnorm, scales, Rdpack, rlang, coda, ggplot2
Suggests
metafor, posterior, weightr, lme4, fixest, metaBMA, emmeans, metadat, testthat, vdiffr, knitr, rmarkdown, covr
LinkingTo
mvtnorm
Needs compilation
yes
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 30개
PackageTypeSpec
BayesTools
CRAN · 4.0.0 · 2026-06-04
ImportsBayesTools (>= 0.3.0)
bridgesampling
CRAN · 4.0.0 · 2026-06-04
Importsbridgesampling
coda
CRAN · 4.0.0 · 2026-06-04
Importscoda
ggplot2
CRAN · 4.0.0 · 2026-06-04
Importsggplot2
graphics
CRAN · 4.0.0 · 2026-06-04
Importsgraphics
1 / 6

이 패키지를 쓰는 패키지

2개 표시전체 2개
PackageTypeSpec
BayesTools
0.3.0
CRAN · 2026-06-04
SuggestsRoBMA
PublicationBiasBenchmark
0.2.1
CRAN · 2026-06-04
SuggestsRoBMA (<= 3.6.1)
1 / 1

Reverse dependency summary

1 types
TypePackages
Suggests2

패키지 페이지

Reverse suggests
4
All links
105
Repository
CRAN
Version
4.0.0
Collected
2026-06-01 11:48:35
Package page
https://cran.r-project.org/web/packages/RoBMA/index.html
DOI
10.32614/CRAN.package.RoBMA
Citation
https://cran.r-project.org/web/packages/RoBMA/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_RoBMA.html
README
https://cran.r-project.org/web/packages/RoBMA/readme/README.html
NEWS
https://cran.r-project.org/web/packages/RoBMA/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/RoBMA/refman/RoBMA.html
Reference PDF
https://cran.r-project.org/web/packages/RoBMA/RoBMA.pdf
Source package
https://cran.r-project.org/src/contrib/RoBMA_4.0.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/RoBMA
In views
BayesianMetaAnalysis
Page fields
Author
František Bartoš [aut, cre], Maximilian Maier [aut], Eric-Jan Wagenmakers [ths], Joris Goosen [ctb], Matthew Denwood [cph] (Original copyright holder of some modified code where indicated.), Martyn Plummer [cph] (Original copyright holder of some modified code where indicated.)
BugReports
https://github.com/FBartos/RoBMA/issues
CRAN Checks
RoBMA results
Citation
RoBMA citation info
DOI
10.32614/CRAN.package.RoBMA
In Views
Bayesian , MetaAnalysis
License
GPL-3
LinkingTo
mvtnorm
Maintainer
František Bartoš <f.bartos96 at gmail.com>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
RoBMA archive
Package Source
RoBMA_4.0.0.tar.gz
Published
2026-05-07
Reference Manual
RoBMA.html , RoBMA.pdf
Reverse Suggests
BayesTools , PublicationBiasBenchmark
SystemRequirements
JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
URL
https://fbartos.github.io/RoBMA/
Version
4.0.0
Vignettes
Introduction to RoBMA ( source , R code ) Prior Distributions ( source , R code ) Bayesian Meta-Analysis ( source , R code ) Feature Coverage ( source , R code ) Multilevel Meta-Analysis ( source , R code ) Publication-Bias Adjustment ( source , R code ) Location-Scale Meta-Analysis ( source , R code ) Generalized Linear Mixed-Effects Meta-Analysis ( source , R code ) Bayesian Model Averaging ( source , R code ) Robust Bayesian Meta-Analysis ( source , R code ) Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis ( source , R code ) Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Multilevel Robust Bayesian Meta-Analysis ( source , R code ) Multilevel Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis in Medicine ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes ( source , R code ) Zplot Publication-Bias Diagnostics ( source , R code )
Windows Binaries
r-devel: RoBMA_4.0.0.zip , r-release: RoBMA_4.0.0.zip , r-oldrel: RoBMA_4.0.0.zip
MacOS Binaries
r-release (arm64): RoBMA_3.6.1.tgz , r-oldrel (arm64): RoBMA_4.0.0.tgz , r-release (x86_64): RoBMA_4.0.0.tgz , r-oldrel (x86_64): RoBMA_4.0.0.tgz
Version
4.0.0
LinkingTo
mvtnorm
mvtnorm
Published
2026-05-07
DOI
10.32614/CRAN.package.RoBMA
10.32614/CRAN.package.RoBMA
Author
František Bartoš [aut, cre], Maximilian Maier [aut], Eric-Jan Wagenmakers [ths], Joris Goosen [ctb], Matthew Denwood [cph] (Original copyright holder of some modified code where indicated.), Martyn Plummer [cph] (Original copyright holder of some modified code where indicated.)
https://orcid.org/0000-0002-0018-5573https://orcid.org/0000-0002-9873-6096https://orcid.org/0000-0003-1596-1034
Maintainer
František Bartoš <f.bartos96 at gmail.com>
BugReports
https://github.com/FBartos/RoBMA/issues
https://github.com/FBartos/RoBMA/issues
License
GPL-3
GPL-3
URL
https://fbartos.github.io/RoBMA/
https://fbartos.github.io/RoBMA/
NeedsCompilation
yes
SystemRequirements
JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
Citation
RoBMA citation info
RoBMA citation info
Materials
README , NEWS
READMENEWS
In Views
Bayesian , MetaAnalysis
BayesianMetaAnalysis
CRAN Checks
RoBMA results
RoBMA results
Reference Manual
RoBMA.html , RoBMA.pdf
RoBMA.htmlRoBMA.pdf
Vignettes
Introduction to RoBMA ( source , R code ) Prior Distributions ( source , R code ) Bayesian Meta-Analysis ( source , R code ) Feature Coverage ( source , R code ) Multilevel Meta-Analysis ( source , R code ) Publication-Bias Adjustment ( source , R code ) Location-Scale Meta-Analysis ( source , R code ) Generalized Linear Mixed-Effects Meta-Analysis ( source , R code ) Bayesian Model Averaging ( source , R code ) Robust Bayesian Meta-Analysis ( source , R code ) Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis ( source , R code ) Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Multilevel Robust Bayesian Meta-Analysis ( source , R code ) Multilevel Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis in Medicine ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes ( source , R code ) Zplot Publication-Bias Diagnostics ( source , R code )
Introduction to RoBMAsourceR codePrior DistributionssourceR codeBayesian Meta-AnalysissourceR codeFeature CoveragesourceR codeMultilevel Meta-AnalysissourceR codePublication-Bias AdjustmentsourceR codeLocation-Scale Meta-Analysissource
Package Source
RoBMA_4.0.0.tar.gz
RoBMA_4.0.0.tar.gz
Windows Binaries
r-devel: RoBMA_4.0.0.zip , r-release: RoBMA_4.0.0.zip , r-oldrel: RoBMA_4.0.0.zip
RoBMA_4.0.0.zipRoBMA_4.0.0.zipRoBMA_4.0.0.zip
MacOS Binaries
r-release (arm64): RoBMA_3.6.1.tgz , r-oldrel (arm64): RoBMA_4.0.0.tgz , r-release (x86_64): RoBMA_4.0.0.tgz , r-oldrel (x86_64): RoBMA_4.0.0.tgz
RoBMA_3.6.1.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgz
Old Sources
RoBMA archive
RoBMA archive
Reverse Suggests
BayesTools , PublicationBiasBenchmark
BayesToolsPublicationBiasBenchmark
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"RoBMA.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/refman/RoBMA.html"},{"label":"RoBMA.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/RoBMA.pdf"},{"label":"Introduction to RoBMA","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v00-introduction.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v00-introduction.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v00-introduction.R"},{"label":"Prior Distributions","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v01-prior-distributions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v01-prior-distributions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v01-prior-distributions.R"},{"label":"Bayesian Meta-Analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v02-bayesian-meta-analysis.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v02-bayesian-meta-analysis.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v02-bayesian-meta-analysis.R"},{"label":"Feature Coverage","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v03-feature-coverage.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v03-feature-coverage.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v03-feature-coverage.R"},{"label":"Multilevel Meta-Analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v10-metafor-parity-multilevel.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v10-metafor-parity-multilevel.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v10-metafor-parity-multilevel.R"},{"label":"Publication-Bias Adjustment","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v11-metafor-parity-publication-bias.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v11-metafor-parity-publication-bias.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/RoBMA/vignettes/v11-metafor-parity-publication-bias.R"}]
Text
Reference manual: RoBMA.html , RoBMA.pdf Vignettes: Introduction to RoBMA ( source , R code ) Prior Distributions ( source , R code ) Bayesian Meta-Analysis ( source , R code ) Feature Coverage ( source , R code ) Multilevel Meta-Analysis ( source , R code ) Publication-Bias Adjustment ( source , R code ) Location-Scale Meta-Analysis ( source , R code ) Generalized Linear Mixed-Effects Meta-Analysis ( source , R code ) Bayesian Model Averaging ( source , R code ) Robust Bayesian Meta-Analysis ( source , R code ) Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis ( source , R code ) Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Multilevel Robust Bayesian Meta-Analysis ( source , R code ) Multilevel Robust Bayesian Model-Averaged Meta-Regression ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis in Medicine ( source , R code ) Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes ( source , R code ) Zplot Publication-Bias Diagnostics ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"RoBMA_4.0.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/RoBMA_4.0.0.tar.gz"},{"label":"RoBMA_4.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/RoBMA_4.0.0.zip"},{"label":"RoBMA_4.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/RoBMA_4.0.0.zip"},{"label":"RoBMA_4.0.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/RoBMA_4.0.0.zip"},{"label":"RoBMA_3.6.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/RoBMA_3.6.1.tgz"},{"label":"RoBMA_4.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/RoBMA_4.0.0.tgz"},{"label":"RoBMA_4.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/RoBMA_4.0.0.tgz"},{"label":"RoBMA_4.0.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/RoBMA_4.0.0.tgz"},{"label":"RoBMA archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/RoBMA"}]
Text
Package source: RoBMA_4.0.0.tar.gz Windows binaries: r-devel: RoBMA_4.0.0.zip , r-release: RoBMA_4.0.0.zip , r-oldrel: RoBMA_4.0.0.zip macOS binaries: r-release (arm64): RoBMA_3.6.1.tgz , r-oldrel (arm64): RoBMA_4.0.0.tgz , r-release (x86_64): RoBMA_4.0.0.tgz , r-oldrel (x86_64): RoBMA_4.0.0.tgz Old sources: RoBMA archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"BayesTools","section":"","type":"","url":"https://cran.r-project.org/web/packages/BayesTools/index.html"},{"label":"PublicationBiasBenchmark","section":"","type":"","url":"https://cran.r-project.org/web/packages/PublicationBiasBenchmark/index.html"}]
Text
Reverse suggests: BayesTools , PublicationBiasBenchmark
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=RoBMA","section":"","type":"","url":"https://CRAN.R-project.org/package=RoBMA"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=RoBMA to link to this page.
Materials 2
READMENEWS
Documentation 53
RoBMA.htmlRoBMA.pdfIntroduction to RoBMAsourceR codePrior DistributionssourceR codeBayesian Meta-AnalysissourceR codeFeature CoveragesourceR codeMultilevel Meta-AnalysissourceR codePublication-Bias AdjustmentsourceR codeLocation-Scale Meta-AnalysissourceR codeGeneralized Linear Mixed-Effects Meta-AnalysissourceR codeBayesian Model AveragingsourceR codeRobust Bayesian Meta-AnalysissourceR codeTutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-AnalysissourceR codeRobust Bayesian Model-Averaged Meta-RegressionsourceR codeMultilevel Robust Bayesian Meta-AnalysissourceR codeMultilevel Robust Bayesian Model-Averaged Meta-RegressionsourceR codeInformed Bayesian Model-Averaged Meta-Analysis in MedicinesourceR codeInformed Bayesian Model-Averaged Meta-Analysis with Binary OutcomessourceR codeZplot Publication-Bias DiagnosticssourceR code
Vignettes 51
Introduction to RoBMAsourceR codePrior DistributionssourceR codeBayesian Meta-AnalysissourceR codeFeature CoveragesourceR codeMultilevel Meta-AnalysissourceR codePublication-Bias AdjustmentsourceR codeLocation-Scale Meta-AnalysissourceR codeGeneralized Linear Mixed-Effects Meta-AnalysissourceR codeBayesian Model AveragingsourceR codeRobust Bayesian Meta-AnalysissourceR codeTutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-AnalysissourceR codeRobust Bayesian Model-Averaged Meta-RegressionsourceR codeMultilevel Robust Bayesian Meta-AnalysissourceR codeMultilevel Robust Bayesian Model-Averaged Meta-RegressionsourceR codeInformed Bayesian Model-Averaged Meta-Analysis in MedicinesourceR codeInformed Bayesian Model-Averaged Meta-Analysis with Binary OutcomessourceR codeZplot Publication-Bias DiagnosticssourceR code
Downloads 9
RoBMA_4.0.0.tar.gzRoBMA_4.0.0.zipRoBMA_4.0.0.zipRoBMA_4.0.0.zipRoBMA_3.6.1.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgzRoBMA archive
All page links 105
BayesToolsbridgesamplinglooMASSparallelrunjagsrjagsstatsgraphicsmvtnormscalesRdpackrlangcodaggplot2metaforposteriorweightrlme4fixestmetaBMAemmeansmetadattestthatvdiffrknitrrmarkdowncovr10.32614/CRAN.package.RoBMAhttps://orcid.org/0000-0002-0018-5573https://orcid.org/0000-0002-9873-6096https://orcid.org/0000-0003-1596-1034https://github.com/FBartos/RoBMA/issuesGPL-3https://fbartos.github.io/RoBMA/RoBMA citation infoREADMENEWSBayesianMetaAnalysisRoBMA resultsRoBMA.htmlRoBMA.pdfIntroduction to RoBMAsourceR codePrior DistributionssourceR codeBayesian Meta-AnalysissourceR codeFeature CoveragesourceR codeMultilevel Meta-AnalysissourceR codePublication-Bias AdjustmentsourceR codeLocation-Scale Meta-AnalysissourceRoBMA_4.0.0.tar.gzRoBMA_4.0.0.zipRoBMA_4.0.0.zipRoBMA_4.0.0.zipRoBMA_3.6.1.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgzRoBMA_4.0.0.tgzRoBMA archivePublicationBiasBenchmarkR codeGeneralized Linear Mixed-Effects Meta-AnalysissourceR codeBayesian Model AveragingsourceR codeRobust Bayesian Meta-AnalysissourceR codeTutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-AnalysissourceR codeRobust Bayesian Model-Averaged Meta-RegressionsourceR codeMultilevel Robust Bayesian Meta-AnalysissourceR codeMultilevel Robust Bayesian Model-Averaged Meta-RegressionsourceR codeInformed Bayesian Model-Averaged Meta-Analysis in MedicinesourceR codeInformed Bayesian Model-Averaged Meta-Analysis with Binary OutcomessourceR codeZplot Publication-Bias DiagnosticssourceR codehttps://CRAN.R-project.org/package=RoBMA

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN3.6.12025-12-182026-05-312026-05-31
CRAN3.6.02025-09-102026-05-312026-05-31
CRAN3.5.12025-07-282026-05-312026-05-31
CRAN3.5.02025-06-112026-05-312026-05-31
CRAN3.4.02025-02-042026-05-312026-05-31
CRAN3.3.02025-01-152026-05-312026-05-31
CRAN3.2.02024-12-122026-05-312026-05-31
CRAN3.1.02023-07-182026-05-312026-05-31
CRAN3.0.12023-06-022026-05-312026-05-31
CRAN3.0.02023-06-012026-05-312026-05-31
CRAN2.3.22023-03-132026-05-312026-05-31
CRAN2.3.12022-07-172026-05-312026-05-31
CRAN2.3.02022-07-122026-05-312026-05-31
CRAN2.2.22022-04-202026-05-312026-05-31
CRAN2.2.12022-04-062026-05-312026-05-31
CRAN2.1.22022-01-122026-05-312026-05-31
CRAN2.1.12021-11-032026-05-312026-05-31
CRAN2.1.02021-10-132026-05-312026-05-31
CRAN2.0.02021-07-082026-05-312026-05-31
CRAN1.2.12021-02-162026-05-312026-05-31
CRAN1.2.02021-01-212026-05-312026-05-31
CRAN1.1.22020-12-102026-05-312026-05-31
CRAN1.1.12020-11-102026-05-312026-05-31
CRAN1.1.02020-10-302026-05-312026-05-31
CRAN1.0.52020-10-132026-05-312026-05-31
CRAN1.0.42020-08-072026-05-312026-05-31
CRAN1.0.32020-08-062026-05-312026-05-31
CRAN4.0.02026-05-312026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Bayesian Inference · 2026-06-04Meta-Analysis · 2026-06-04