MCMCglmm

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / MCMCglmm

MCMCglmm

v2.36
Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOI
DOI
10.32614/CRAN.package.MCMCglmm
Task views
Bayesian Inference, Mixed, Multilevel, and Hierarchical Models in R, Phylogenetics, Psychometric Models and Methods, Survival Analysis
Reverse imports
277
Reverse depends
40

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Bayesian Inference, Mixed, Multilevel, and Hierarchical Models in R, Phylogenetics 외 2
Reverse imports
277
Reverse depends
40

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.36
License
GPL (>= 2)
Lifecycle
active
Needs compilation
yes
Reverse depends
40
Reverse imports
277
Last observed
2026-05-30
CRAN
cran.r-project.org/package=MCMCglmm

수집 소스별 패키지 정보

1개 소스
CRAN
2.36
2026-05-30
License
GPL (>= 2)
Depends
Matrix, coda, ape
Imports
corpcor, tensorA, cubature, methods
Suggests
rgl, combinat, mvtnorm, orthopolynom, MCMCpack, bayesm, msm
Needs compilation
yes
Reverse depends
40
Reverse imports
277
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 14개
PackageTypeSpec
ape
CRAN · 2.36 · 2026-05-30
Dependsape
coda
CRAN · 2.36 · 2026-05-30
Dependscoda
Matrix
CRAN · 2.36 · 2026-05-30
DependsMatrix
corpcor
CRAN · 2.36 · 2026-05-30
Importscorpcor
cubature
CRAN · 2.36 · 2026-05-30
Importscubature
1 / 3

이 패키지를 쓰는 패키지

5개 표시전체 26개
PackageTypeSpec
MCMC.qpcr
1.2.4
CRAN · 2026-05-30
DependsMCMCglmm
BayesMultiMode
0.7.5
CRAN · 2026-05-30
ImportsMCMCglmm
BiostatsUHNplus
1.0.4
CRAN · 2026-05-30
ImportsMCMCglmm
NO.PING.PONG
0.1.9.1
CRAN · 2026-05-30
ImportsMCMCglmm
pedtricks
0.5.0
CRAN · 2026-05-30
ImportsMCMCglmm
1 / 6

Reverse dependency summary

4 types
TypePackages
Depends1
Imports7
Suggests15
Enhances3

패키지 페이지

Reverse depends
2
Reverse imports
14
Reverse suggests
30
Reverse enhances
6
All links
63
Repository
CRAN
Version
2.36
Collected
2026-05-28 03:58:38
Package page
https://cran.r-project.org/web/packages/MCMCglmm/index.html
DOI
10.32614/CRAN.package.MCMCglmm
Citation
https://cran.r-project.org/web/packages/MCMCglmm/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_MCMCglmm.html
Reference HTML
https://cran.r-project.org/web/packages/MCMCglmm/refman/MCMCglmm.html
Reference PDF
https://cran.r-project.org/web/packages/MCMCglmm/MCMCglmm.pdf
Source package
https://cran.r-project.org/src/contrib/MCMCglmm_2.36.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/MCMCglmm
In views
BayesianMixedModelsPhylogeneticsPsychometricsSurvival
Page fields
Author
Jarrod Hadfield
CRAN Checks
MCMCglmm results
Citation
MCMCglmm citation info
DOI
10.32614/CRAN.package.MCMCglmm
In Views
Bayesian , MixedModels , Phylogenetics , Psychometrics , Survival
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Jarrod Hadfield <j.hadfield at ed.ac.uk>
NeedsCompilation
yes
Old Sources
MCMCglmm archive
Package Source
MCMCglmm_2.36.tar.gz
Published
2024-05-06
Reference Manual
MCMCglmm.html , MCMCglmm.pdf
Reverse Depends
MCMC.qpcr
Reverse Enhances
emmeans , MuMIn , nadiv
Reverse Imports
BayesMultiMode , BiostatsUHNplus , NO.PING.PONG , pedtricks , ref.ICAR , scan , StempCens
Reverse Suggests
agridat , brms , broom.mixed , dispRity , ecostats , gaawr2 , gap , ggeffects , insight , marginaleffects , miceadds , parameters , phyr , rotl , tidybayes
URL
https://github.com/jarrodhadfield/MCMCglmm
Version
2.36
Windows Binaries
r-devel: MCMCglmm_2.36.zip , r-release: MCMCglmm_2.36.zip , r-oldrel: MCMCglmm_2.36.zip
MacOS Binaries
r-release (arm64): MCMCglmm_2.36.tgz , r-oldrel (arm64): MCMCglmm_2.36.tgz , r-release (x86_64): MCMCglmm_2.36.tgz , r-oldrel (x86_64): MCMCglmm_2.36.tgz
Version
2.36
Published
2024-05-06
DOI
10.32614/CRAN.package.MCMCglmm
10.32614/CRAN.package.MCMCglmm
Author
Jarrod Hadfield
Maintainer
Jarrod Hadfield <j.hadfield at ed.ac.uk>
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
GPL-2GPL-3
URL
https://github.com/jarrodhadfield/MCMCglmm
https://github.com/jarrodhadfield/MCMCglmm
NeedsCompilation
yes
Citation
MCMCglmm citation info
MCMCglmm citation info
In Views
Bayesian , MixedModels , Phylogenetics , Psychometrics , Survival
BayesianMixedModelsPhylogeneticsPsychometricsSurvival
CRAN Checks
MCMCglmm results
MCMCglmm results
Reference Manual
MCMCglmm.html , MCMCglmm.pdf
MCMCglmm.htmlMCMCglmm.pdf
Package Source
MCMCglmm_2.36.tar.gz
MCMCglmm_2.36.tar.gz
Windows Binaries
r-devel: MCMCglmm_2.36.zip , r-release: MCMCglmm_2.36.zip , r-oldrel: MCMCglmm_2.36.zip
MCMCglmm_2.36.zipMCMCglmm_2.36.zipMCMCglmm_2.36.zip
MacOS Binaries
r-release (arm64): MCMCglmm_2.36.tgz , r-oldrel (arm64): MCMCglmm_2.36.tgz , r-release (x86_64): MCMCglmm_2.36.tgz , r-oldrel (x86_64): MCMCglmm_2.36.tgz
MCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgz
Old Sources
MCMCglmm archive
MCMCglmm archive
Reverse Depends
MCMC.qpcr
MCMC.qpcr
Reverse Imports
BayesMultiMode , BiostatsUHNplus , NO.PING.PONG , pedtricks , ref.ICAR , scan , StempCens
BayesMultiModeBiostatsUHNplusNO.PING.PONGpedtricksref.ICARscanStempCens
Reverse Suggests
agridat , brms , broom.mixed , dispRity , ecostats , gaawr2 , gap , ggeffects , insight , marginaleffects , miceadds , parameters , phyr , rotl , tidybayes
agridatbrmsbroom.mixeddispRityecostatsgaawr2gapggeffectsinsightmarginaleffectsmiceaddsparametersphyrrotltidybayes
Reverse Enhances
emmeans , MuMIn , nadiv
emmeansMuMInnadiv
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"MCMCglmm.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/MCMCglmm/refman/MCMCglmm.html"},{"label":"MCMCglmm.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/MCMCglmm/MCMCglmm.pdf"}]
Text
Reference manual: MCMCglmm.html , MCMCglmm.pdf
Downloads
Heading
Downloads
Links
[{"label":"MCMCglmm_2.36.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/MCMCglmm_2.36.tar.gz"},{"label":"MCMCglmm_2.36.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/MCMCglmm_2.36.zip"},{"label":"MCMCglmm_2.36.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/MCMCglmm_2.36.zip"},{"label":"MCMCglmm_2.36.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/MCMCglmm_2.36.zip"},{"label":"MCMCglmm_2.36.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/MCMCglmm_2.36.tgz"},{"label":"MCMCglmm_2.36.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/MCMCglmm_2.36.tgz"},{"label":"MCMCglmm_2.36.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/MCMCglmm_2.36.tgz"},{"label":"MCMCglmm_2.36.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/MCMCglmm_2.36.tgz"},{"label":"MCMCglmm archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/MCMCglmm"}]
Text
Package source: MCMCglmm_2.36.tar.gz Windows binaries: r-devel: MCMCglmm_2.36.zip , r-release: MCMCglmm_2.36.zip , r-oldrel: MCMCglmm_2.36.zip macOS binaries: r-release (arm64): MCMCglmm_2.36.tgz , r-oldrel (arm64): MCMCglmm_2.36.tgz , r-release (x86_64): MCMCglmm_2.36.tgz , r-oldrel (x86_64): MCMCglmm_2.36.tgz Old sources: MCMCglmm archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"MCMC.qpcr","section":"","type":"","url":"https://cran.r-project.org/web/packages/MCMC.qpcr/index.html"},{"label":"BayesMultiMode","section":"","type":"","url":"https://cran.r-project.org/web/packages/BayesMultiMode/index.html"},{"label":"BiostatsUHNplus","section":"","type":"","url":"https://cran.r-project.org/web/packages/BiostatsUHNplus/index.html"},{"label":"NO.PING.PONG","section":"","type":"","url":"https://cran.r-project.org/web/packages/NO.PING.PONG/index.html"},{"label":"pedtricks","section":"","type":"","url":"https://cran.r-project.org/web/packages/pedtricks/index.html"},{"label":"ref.ICAR","section":"","type":"","url":"https://cran.r-project.org/web/packages/ref.ICAR/index.html"},{"label":"scan","section":"","type":"","url":"https://cran.r-project.org/web/packages/scan/index.html"},{"label":"StempCens","section":"","type":"","url":"https://cran.r-project.org/web/packages/StempCens/index.html"},{"label":"agridat","section":"","type":"","url":"https://cran.r-project.org/web/packages/agridat/index.html"},{"label":"brms","section":"","type":"","url":"https://cran.r-project.org/web/packages/brms/index.html"},{"label":"broom.mixed","section":"","type":"","url":"https://cran.r-project.org/web/packages/broom.mixed/index.html"},{"label":"dispRity","section":"","type":"","url":"https://cran.r-project.org/web/packages/dispRity/index.html"},{"label":"ecostats","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/index.html"},{"label":"gaawr2","section":"","type":"","url":"https://cran.r-project.org/web/packages/gaawr2/index.html"},{"label":"gap","section":"","type":"","url":"https://cran.r-project.org/web/packages/gap/index.html"},{"label":"ggeffects","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggeffects/index.html"},{"label":"insight","section":"","type":"","url":"https://cran.r-project.org/web/packages/insight/index.html"},{"label":"marginaleffects","section":"","type":"","url":"https://cran.r-project.org/web/packages/marginaleffects/index.html"},{"label":"miceadds","section":"","type":"","url":"https://cran.r-project.org/web/packages/miceadds/index.html"},{"label":"parameters","section":"","type":"","url":"https://cran.r-project.org/web/packages/parameters/index.html"}]
Text
Reverse depends: MCMC.qpcr Reverse imports: BayesMultiMode , BiostatsUHNplus , NO.PING.PONG , pedtricks , ref.ICAR , scan , StempCens Reverse suggests: agridat , brms , broom.mixed , dispRity , ecostats , gaawr2 , gap , ggeffects , insight , marginaleffects , miceadds , parameters , phyr , rotl , tidybayes Reverse enhances: emmeans , MuMIn , nadiv
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=MCMCglmm","section":"","type":"","url":"https://CRAN.R-project.org/package=MCMCglmm"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=MCMCglmm to link to this page.
Documentation 2
MCMCglmm.htmlMCMCglmm.pdf
Downloads 9
MCMCglmm_2.36.tar.gzMCMCglmm_2.36.zipMCMCglmm_2.36.zipMCMCglmm_2.36.zipMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm archive
All page links 63
MatrixcodaapecorpcortensorAcubaturemethodsrglcombinatmvtnormorthopolynomMCMCpackbayesmmsm10.32614/CRAN.package.MCMCglmmGPL-2GPL-3https://github.com/jarrodhadfield/MCMCglmmMCMCglmm citation infoBayesianMixedModelsPhylogeneticsPsychometricsSurvivalMCMCglmm resultsMCMCglmm.htmlMCMCglmm.pdfMCMCglmm_2.36.tar.gzMCMCglmm_2.36.zipMCMCglmm_2.36.zipMCMCglmm_2.36.zipMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm_2.36.tgzMCMCglmm archiveMCMC.qpcrBayesMultiModeBiostatsUHNplusNO.PING.PONGpedtricksref.ICARscanStempCensagridatbrmsbroom.mixeddispRityecostatsgaawr2gapggeffectsinsightmarginaleffectsmiceaddsparametersphyrrotltidybayesemmeansMuMInnadivhttps://CRAN.R-project.org/package=MCMCglmm

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.362026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

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