brms

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / brms

brms

v2.23.0
brms
Repository CRANLicense GPL-2Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.brms
Task views
Bayesian Inference, Meta-Analysis, Mixed, Multilevel, and Hierarchical Models in R, Phylogenetics
Reverse imports
1,080
Reverse depends
264

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Bayesian Inference, Meta-Analysis, Mixed, Multilevel, and Hierarchical Models in R 외 1
Reverse imports
1,080
Reverse depends
264

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.23.0
License
GPL-2
Lifecycle
active
Needs compilation
no
Reverse depends
264
Reverse imports
1,080
Last observed
2026-05-30
CRAN
cran.r-project.org/package=brms

수집 소스별 패키지 정보

1개 소스
CRAN
2.23.0
2026-05-30
License
GPL-2
Depends
R (>= 3.6.0), Rcpp (>= 0.12.0), methods
Imports
rstan (>= 2.29.0), ggplot2 (>= 2.0.0), loo (>= 2.8.0), posterior (>= 1.6.0), Matrix (>= 1.1.1), mgcv (>= 1.8-13), rstantools (>= 2.1.1), bayesplot (>= 1.5.0), bridgesampling (>= 0.3-0), glue (>= 1.3.0), rlang (>= 1.0.0), future (>= 1.19.0), future.apply (>= 1.0.0), matrixStats, nleqslv, nlme, coda, abind, stats, utils, parallel, grDevices, backports
Suggests
testthat (>= 3.1.9), emmeans (>= 1.4.2), cmdstanr (>= 0.5.0), projpred (>= 2.0.0), priorsense (>= 1.0.0), shinystan (>= 2.4.0), splines2 (>= 0.5.0), RWiener, rtdists, extraDistr, processx, mice, spdep, mnormt, lme4, MCMCglmm, ape, arm, statmod, digest, diffobj, betareg, R.rsp, gtable, shiny, knitr, rmarkdown, ragg, colorspace, mirai, future.mirai
Needs compilation
no
Reverse depends
264
Reverse imports
1,080
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 56개
PackageTypeSpec
methods
CRAN · 2.23.0 · 2026-05-30
Dependsmethods
Rcpp
CRAN · 2.23.0 · 2026-05-30
DependsRcpp (>= 0.12.0)
abind
CRAN · 2.23.0 · 2026-05-30
Importsabind
backports
CRAN · 2.23.0 · 2026-05-30
Importsbackports
bayesplot
CRAN · 2.23.0 · 2026-05-30
Importsbayesplot (>= 1.5.0)
1 / 12

이 패키지를 쓰는 패키지

5개 표시전체 79개
PackageTypeSpec
bayesian
1.0.1
CRAN · 2026-05-30
Dependsbrms (>= 2.21.0)
bayesnec
2.1.3.1
CRAN · 2026-05-30
Dependsbrms
hbsaems
0.1.1
CRAN · 2026-05-25
Dependsbrms
hmetad
0.1.2
CRAN · 2026-05-30
Dependsbrms (>= 2.23.0)
multimedia
0.2.0
CRAN · 2026-05-30
Dependsbrms
1 / 16

Reverse dependency summary

4 types
TypePackages
Depends7
Imports29
Suggests40
Enhances3

패키지 페이지

Reverse depends
14
Reverse imports
54
Reverse suggests
80
Reverse enhances
6
All links
172
Repository
CRAN
Version
2.23.0
Collected
2026-05-21 11:32:39
Package page
https://cran.r-project.org/web/packages/brms/index.html
DOI
10.32614/CRAN.package.brms
Citation
https://cran.r-project.org/web/packages/brms/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_brms.html
README
https://cran.r-project.org/web/packages/brms/readme/README.html
NEWS
https://cran.r-project.org/web/packages/brms/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/brms/refman/brms.html
Reference PDF
https://cran.r-project.org/web/packages/brms/brms.pdf
Source package
https://cran.r-project.org/src/contrib/brms_2.23.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/brms
In views
BayesianMetaAnalysisMixedModelsPhylogenetics
Page fields
Additional Repositories
https://stan-dev.r-universe.dev/
Author
Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb], Hamada S. Badr [ctb], Frank Weber [ctb], Aki Vehtari [ctb], Mattan S. Ben-Shachar [ctb], Hayden Rabel [ctb], Simon C. Mills [ctb], Stephen Wild [ctb], Ven Popov [ctb], Ioannis Kosmidis [ctb], Ben Schneider [ctb], Noa Kallioinen [ctb], Wellington J. Silva [ctb], Luiz Carvalho [ctb], Sermet Pekin [ctb]
BugReports
https://github.com/paul-buerkner/brms/issues
CRAN Checks
brms results
Citation
brms citation info
DOI
10.32614/CRAN.package.brms
In Views
Bayesian , MetaAnalysis , MixedModels , Phylogenetics
License
GPL-2
Maintainer
Paul-Christian Bürkner <paul.buerkner at gmail.com>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
brms archive
Package Source
brms_2.23.0.tar.gz
Published
2025-09-09
Reference Manual
brms.html , brms.pdf
Reverse Depends
bayesian , bayesnec , hbsaems , hmetad , multimedia , neodistr , ordbetareg
Reverse Enhances
interactions , jtools , texreg
Reverse Imports
bayesDiagnostics , bmm , bonsaiforest , brms.mmrm , brmsmargins , bsitar , easyRaschBayes , EconCausal , ErrorTracer , fahb , flocker , IJSE , lehuynh , multilevelcoda , multilevelmediation , multilevelTools , mvgam , OncoBayes2 , PoolTestR , powerbrmsINLA , rmstBayespara , RStanTVA , shinybrms , shrinkem , squid , trps , webSDM
Reverse Suggests
afex , BayesPostEst , bayestestR , BayesVolcano , BIOMASS , broom.helpers , broom.mixed , conformalbayes , datawizard , effectsize , emmeans , ggeffects , insight , loo , MAIHDA , marginaleffects , mitey , modelbased , modelsummary , nlmixr2extra , novelforestSG , panelr , pangoling , parameters , pcvr , performance , photosynthesis , priorsense , projpred , RBesT , report , see , sjPlot , sjstats , spotr , TesiproV , tidybayes , tidyILD , tidystats , trending
SystemRequirements
pngquant
URL
https://github.com/paul-buerkner/brms , https://discourse.mc-stan.org/ , https://paulbuerkner.com/brms/
Version
2.23.0
Vignettes
Define Custom Response Distributions with brms ( source , R code ) Estimating Distributional Models with brms ( source , R code ) Parameterization of Response Distributions in brms ( source ) Handle Missing Values with brms ( source , R code ) Estimating Monotonic Effects with brms ( source , R code ) Estimating Multivariate Models with brms ( source , R code ) Estimating Non-Linear Models with brms ( source , R code ) Estimating Phylogenetic Multilevel Models with brms ( source , R code ) Running brms models with within-chain parallelization ( source , R code ) Multilevel Models with brms ( source ) Overview of the brms Package ( source )
Windows Binaries
r-devel: brms_2.23.0.zip , r-release: brms_2.23.0.zip , r-oldrel: brms_2.23.0.zip
MacOS Binaries
r-release (arm64): brms_2.23.0.tgz , r-oldrel (arm64): brms_2.23.0.tgz , r-release (x86_64): brms_2.23.0.tgz , r-oldrel (x86_64): brms_2.23.0.tgz
Version
2.23.0
Published
2025-09-09
DOI
10.32614/CRAN.package.brms
10.32614/CRAN.package.brms
Author
Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb], Hamada S. Badr [ctb], Frank Weber [ctb], Aki Vehtari [ctb], Mattan S. Ben-Shachar [ctb], Hayden Rabel [ctb], Simon C. Mills [ctb], Stephen Wild [ctb], Ven Popov [ctb], Ioannis Kosmidis [ctb], Ben Schneider [ctb], Noa Kallioinen [ctb], Wellington J. Silva [ctb], Luiz Carvalho [ctb], Sermet Pekin [ctb]
Maintainer
Paul-Christian Bürkner <paul.buerkner at gmail.com>
BugReports
https://github.com/paul-buerkner/brms/issues
https://github.com/paul-buerkner/brms/issues
License
GPL-2
GPL-2
URL
https://github.com/paul-buerkner/brms , https://discourse.mc-stan.org/ , https://paulbuerkner.com/brms/
https://github.com/paul-buerkner/brmshttps://discourse.mc-stan.org/https://paulbuerkner.com/brms/
NeedsCompilation
no
SystemRequirements
pngquant
Additional Repositories
https://stan-dev.r-universe.dev/
https://stan-dev.r-universe.dev/
Citation
brms citation info
brms citation info
Materials
README , NEWS
READMENEWS
In Views
Bayesian , MetaAnalysis , MixedModels , Phylogenetics
BayesianMetaAnalysisMixedModelsPhylogenetics
CRAN Checks
brms results
brms results
Reference Manual
brms.html , brms.pdf
brms.htmlbrms.pdf
Vignettes
Define Custom Response Distributions with brms ( source , R code ) Estimating Distributional Models with brms ( source , R code ) Parameterization of Response Distributions in brms ( source ) Handle Missing Values with brms ( source , R code ) Estimating Monotonic Effects with brms ( source , R code ) Estimating Multivariate Models with brms ( source , R code ) Estimating Non-Linear Models with brms ( source , R code ) Estimating Phylogenetic Multilevel Models with brms ( source , R code ) Running brms models with within-chain parallelization ( source , R code ) Multilevel Models with brms ( source ) Overview of the brms Package ( source )
Define Custom Response Distributions with brmssourceR codeEstimating Distributional Models with brmssourceR codeParameterization of Response Distributions in brmssourceHandle Missing Values with brmssourceR codeEstimating Monotonic Effects with brmssourceR codeEstimating Multivariate Models with brmssourceR codeEstimating Non-Linear Models with brmssourceR code
Package Source
brms_2.23.0.tar.gz
brms_2.23.0.tar.gz
Windows Binaries
r-devel: brms_2.23.0.zip , r-release: brms_2.23.0.zip , r-oldrel: brms_2.23.0.zip
brms_2.23.0.zipbrms_2.23.0.zipbrms_2.23.0.zip
MacOS Binaries
r-release (arm64): brms_2.23.0.tgz , r-oldrel (arm64): brms_2.23.0.tgz , r-release (x86_64): brms_2.23.0.tgz , r-oldrel (x86_64): brms_2.23.0.tgz
brms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgz
Old Sources
brms archive
brms archive
Reverse Depends
bayesian , bayesnec , hbsaems , hmetad , multimedia , neodistr , ordbetareg
bayesianbayesnechbsaemshmetadmultimedianeodistrordbetareg
Reverse Imports
bayesDiagnostics , bmm , bonsaiforest , brms.mmrm , brmsmargins , bsitar , easyRaschBayes , EconCausal , ErrorTracer , fahb , flocker , IJSE , lehuynh , multilevelcoda , multilevelmediation , multilevelTools , mvgam , OncoBayes2 , PoolTestR , powerbrmsINLA , rmstBayespara , RStanTVA , shinybrms , shrinkem , squid , trps , webSDM
bayesDiagnosticsbmmbonsaiforestbrms.mmrmbrmsmarginsbsitareasyRaschBayesEconCausalErrorTracerfahbflockerIJSElehuynhmultilevelcodamultilevelmediationmultilevelToolsmvgamOncoBayes2PoolTestRpowerbrmsINLA
Reverse Suggests
afex , BayesPostEst , bayestestR , BayesVolcano , BIOMASS , broom.helpers , broom.mixed , conformalbayes , datawizard , effectsize , emmeans , ggeffects , insight , loo , MAIHDA , marginaleffects , mitey , modelbased , modelsummary , nlmixr2extra , novelforestSG , panelr , pangoling , parameters , pcvr , performance , photosynthesis , priorsense , projpred , RBesT , report , see , sjPlot , sjstats , spotr , TesiproV , tidybayes , tidyILD , tidystats , trending
afexBayesPostEstbayestestRBayesVolcanoBIOMASSbroom.helpersbroom.mixedconformalbayesdatawizardeffectsizeemmeansggeffectsinsightlooMAIHDAmarginaleffectsmiteymodelbasedmodelsummarynlmixr2extra
Reverse Enhances
interactions , jtools , texreg
interactionsjtoolstexreg
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"brms.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/refman/brms.html"},{"label":"brms.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/brms.pdf"},{"label":"Define Custom Response Distributions with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_customfamilies.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_customfamilies.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_customfamilies.R"},{"label":"Estimating Distributional Models with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_distreg.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_distreg.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_distreg.R"},{"label":"Parameterization of Response Distributions in brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_families.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_families.Rmd"},{"label":"Handle Missing Values with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_missings.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_missings.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_missings.R"},{"label":"Estimating Monotonic Effects with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_monotonic.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_monotonic.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_monotonic.R"},{"label":"Estimating Multivariate Models with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_multivariate.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_multivariate.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_multivariate.R"},{"label":"Estimating Non-Linear Models with brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/vignettes/brms_nonlinear.html"}]
Text
Reference manual: brms.html , brms.pdf Vignettes: Define Custom Response Distributions with brms ( source , R code ) Estimating Distributional Models with brms ( source , R code ) Parameterization of Response Distributions in brms ( source ) Handle Missing Values with brms ( source , R code ) Estimating Monotonic Effects with brms ( source , R code ) Estimating Multivariate Models with brms ( source , R code ) Estimating Non-Linear Models with brms ( source , R code ) Estimating Phylogenetic Multilevel Models with brms ( source , R code ) Running brms models with within-chain parallelization ( source , R code ) Multilevel Models with brms ( source ) Overview of the brms Package ( source )
Downloads
Heading
Downloads
Links
[{"label":"brms_2.23.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/brms_2.23.0.tar.gz"},{"label":"brms_2.23.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/brms_2.23.0.zip"},{"label":"brms_2.23.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/brms_2.23.0.zip"},{"label":"brms_2.23.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/brms_2.23.0.zip"},{"label":"brms_2.23.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/brms_2.23.0.tgz"},{"label":"brms_2.23.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/brms_2.23.0.tgz"},{"label":"brms_2.23.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/brms_2.23.0.tgz"},{"label":"brms_2.23.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/brms_2.23.0.tgz"},{"label":"brms archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/brms"}]
Text
Package source: brms_2.23.0.tar.gz Windows binaries: r-devel: brms_2.23.0.zip , r-release: brms_2.23.0.zip , r-oldrel: brms_2.23.0.zip macOS binaries: r-release (arm64): brms_2.23.0.tgz , r-oldrel (arm64): brms_2.23.0.tgz , r-release (x86_64): brms_2.23.0.tgz , r-oldrel (x86_64): brms_2.23.0.tgz Old sources: brms archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"bayesian","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesian/index.html"},{"label":"bayesnec","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesnec/index.html"},{"label":"hbsaems","section":"","type":"","url":"https://cran.r-project.org/web/packages/hbsaems/index.html"},{"label":"hmetad","section":"","type":"","url":"https://cran.r-project.org/web/packages/hmetad/index.html"},{"label":"multimedia","section":"","type":"","url":"https://cran.r-project.org/web/packages/multimedia/index.html"},{"label":"neodistr","section":"","type":"","url":"https://cran.r-project.org/web/packages/neodistr/index.html"},{"label":"ordbetareg","section":"","type":"","url":"https://cran.r-project.org/web/packages/ordbetareg/index.html"},{"label":"bayesDiagnostics","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesDiagnostics/index.html"},{"label":"bmm","section":"","type":"","url":"https://cran.r-project.org/web/packages/bmm/index.html"},{"label":"bonsaiforest","section":"","type":"","url":"https://cran.r-project.org/web/packages/bonsaiforest/index.html"},{"label":"brms.mmrm","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms.mmrm/index.html"},{"label":"brmsmargins","section":"","type":"","url":"https://cran.r-project.org/web/packages/brmsmargins/index.html"},{"label":"bsitar","section":"","type":"","url":"https://cran.r-project.org/web/packages/bsitar/index.html"},{"label":"easyRaschBayes","section":"","type":"","url":"https://cran.r-project.org/web/packages/easyRaschBayes/index.html"},{"label":"EconCausal","section":"","type":"","url":"https://cran.r-project.org/web/packages/EconCausal/index.html"},{"label":"ErrorTracer","section":"","type":"","url":"https://cran.r-project.org/web/packages/ErrorTracer/index.html"},{"label":"fahb","section":"","type":"","url":"https://cran.r-project.org/web/packages/fahb/index.html"},{"label":"flocker","section":"","type":"","url":"https://cran.r-project.org/web/packages/flocker/index.html"},{"label":"IJSE","section":"","type":"","url":"https://cran.r-project.org/web/packages/IJSE/index.html"},{"label":"lehuynh","section":"","type":"","url":"https://cran.r-project.org/web/packages/lehuynh/index.html"}]
Text
Reverse depends: bayesian , bayesnec , hbsaems , hmetad , multimedia , neodistr , ordbetareg Reverse imports: bayesDiagnostics , bmm , bonsaiforest , brms.mmrm , brmsmargins , bsitar , easyRaschBayes , EconCausal , ErrorTracer , fahb , flocker , IJSE , lehuynh , multilevelcoda , multilevelmediation , multilevelTools , mvgam , OncoBayes2 , PoolTestR , powerbrmsINLA , rmstBayespara , RStanTVA , shinybrms , shrinkem , squid , trps , webSDM Reverse suggests: afex , BayesPostEst , bayestestR , BayesVolcano , BIOMASS , broom.helpers , broom.mixed , conformalbayes , datawizard , effectsize , emmeans , ggeffects , insight , loo , MAIHDA , marginaleffects , mitey , modelbased , modelsummary , nlmixr2extra , novelforestSG , panelr , pangoling , parameters , pcvr , performance , photosynthesis , priorsense , projpred , RBesT , report , see , sjPlot , sjstats , spotr , TesiproV , tidybayes , tidyILD , tidystats , trending Reverse enhances: interactions , jtools , texreg
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=brms","section":"","type":"","url":"https://CRAN.R-project.org/package=brms"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=brms to link to this page.
Materials 2
READMENEWS
Documentation 32
brms.htmlbrms.pdfDefine Custom Response Distributions with brmssourceR codeEstimating Distributional Models with brmssourceR codeParameterization of Response Distributions in brmssourceHandle Missing Values with brmssourceR codeEstimating Monotonic Effects with brmssourceR codeEstimating Multivariate Models with brmssourceR codeEstimating Non-Linear Models with brmssourceR codeEstimating Phylogenetic Multilevel Models with brmssourceR codeRunning brms models with within-chain parallelizationsourceR codeMultilevel Models with brmssourceOverview of the brms Packagesource
Vignettes 30
Define Custom Response Distributions with brmssourceR codeEstimating Distributional Models with brmssourceR codeParameterization of Response Distributions in brmssourceHandle Missing Values with brmssourceR codeEstimating Monotonic Effects with brmssourceR codeEstimating Multivariate Models with brmssourceR codeEstimating Non-Linear Models with brmssourceR codeEstimating Phylogenetic Multilevel Models with brmssourceR codeRunning brms models with within-chain parallelizationsourceR codeMultilevel Models with brmssourceOverview of the brms Packagesource
Downloads 9
brms_2.23.0.tar.gzbrms_2.23.0.zipbrms_2.23.0.zipbrms_2.23.0.zipbrms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgzbrms archive
All page links 120
Rcppmethodsrstanggplot2looposteriorMatrixmgcvrstantoolsbayesplotbridgesamplinggluerlangfuturefuture.applymatrixStatsnleqslvnlmecodaabindstatsutilstestthatemmeansprojpredpriorsenseshinystansplines2RWienerrtdistsextraDistrprocessxmicespdepmnormtlme4MCMCglmmapearmstatmoddigestdiffobj10.32614/CRAN.package.brmshttps://github.com/paul-buerkner/brms/issuesGPL-2https://github.com/paul-buerkner/brmshttps://discourse.mc-stan.org/https://paulbuerkner.com/brms/https://stan-dev.r-universe.dev/brms citation infoREADMENEWSBayesianMetaAnalysisMixedModelsPhylogeneticsbrms resultsbrms.htmlbrms.pdfDefine Custom Response Distributions with brmssourceR codeEstimating Distributional Models with brmssourceR codeParameterization of Response Distributions in brmssourceHandle Missing Values with brmssourceR codeEstimating Monotonic Effects with brmssourceR codeEstimating Multivariate Models with brmssourceR codeEstimating Non-Linear Models with brmssourceR codebrms_2.23.0.tar.gzbrms_2.23.0.zipbrms_2.23.0.zipbrms_2.23.0.zipbrms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgzbrms_2.23.0.tgzbrms archivebayesianbayesnechbsaemshmetadmultimedianeodistrordbetaregbayesDiagnosticsbmmbonsaiforestbrms.mmrmbrmsmarginsbsitareasyRaschBayesEconCausalErrorTracerfahbflockerIJSElehuynhmultilevelcodamultilevelmediationmultilevelToolsmvgamOncoBayes2PoolTestRpowerbrmsINLAafexBayesPostEstbayestestRBayesVolcanoBIOMASS

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.23.02026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Bayesian Inference · 2026-05-30Meta-Analysis · 2026-05-30Mixed, Multilevel, and Hierarchical Models in R · 2026-05-30Phylogenetics · 2026-05-30