gllvm

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / gllvm

gllvm

v2.0.15
Repository CRANLicense GPL-2Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.gllvm
Task views
Analysis of Ecological and Environmental Data, Mixed, Multilevel, and Hierarchical Models in R
Reverse imports
9

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Analysis of Ecological and Environmental Data, Mixed, Multilevel, and Hierarchical Models in R
Reverse imports
9

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.0.15
License
GPL-2
Lifecycle
active
Needs compilation
yes
Reverse imports
9
Last observed
2026-09-13
CRAN
cran.r-project.org/package=gllvm

Build fields

LinkingTo
3
TMBRcppRcppEigen

수집 소스별 패키지 정보

1개 소스
CRAN
2.0.15
2026-09-13
License
GPL-2
Depends
R (>= 3.5.0), TMB
Imports
MASS, Matrix, fishMod, mgcv, alabama, nloptr, methods
Suggests
knitr, rmarkdown, testthat, gclus, corrplot, lattice, mvabund, ape, parallel
LinkingTo
TMB, Rcpp, RcppEigen
Needs compilation
yes
Reverse imports
9
Lifecycle
active
Last observed
2026-09-13 02:53:27

이 패키지가 의존하는 패키지

5개 표시전체 20개
PackageTypeSpec
TMB
CRAN · 2.0.15 · 2026-10-22
DependsTMB
alabama
CRAN · 2.0.15 · 2026-10-22
Importsalabama
fishMod
CRAN · 2.0.15 · 2026-10-22
ImportsfishMod
MASS
CRAN · 2.0.15 · 2026-10-22
ImportsMASS
Matrix
CRAN · 2.0.15 · 2026-10-22
ImportsMatrix
1 / 4

이 패키지를 쓰는 패키지

2개 표시전체 2개
PackageTypeSpec
ResistantProcrustes
0.1.1
CRAN · 2026-10-22
Importsgllvm
ecostats
1.2.2
CRAN · 2026-10-22
Suggestsgllvm
1 / 1

Reverse dependency summary

2 types
TypePackages
Imports1
Suggests1

패키지 페이지

Reverse suggests
2
All links
69
Repository
CRAN
Version
2.0.13
Collected
2026-08-21 01:18:55
Package page
https://cran.r-project.org/web/packages/gllvm/index.html
DOI
10.32614/CRAN.package.gllvm
Citation
https://cran.r-project.org/web/packages/gllvm/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_gllvm.html
README
https://cran.r-project.org/web/packages/gllvm/readme/README.html
NEWS
https://cran.r-project.org/web/packages/gllvm/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/gllvm/refman/gllvm.html
Reference PDF
https://cran.r-project.org/web/packages/gllvm/gllvm.pdf
Source package
https://cran.r-project.org/src/contrib/gllvm_2.0.13.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/gllvm
In views
EnvironmetricsMixedModels
Page fields
Author
Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut]
BugReports
https://github.com/JenniNiku/gllvm/issues
CRAN Checks
gllvm results
Citation
gllvm citation info
DOI
10.32614/CRAN.package.gllvm
In Views
Environmetrics , MixedModels
License
GPL-2
LinkingTo
TMB , Rcpp , RcppEigen
Maintainer
Jenni Niku <jenni.m.e.niku at jyu.fi>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
gllvm archive
Package Source
gllvm_2.0.13.tar.gz
Published
2026-07-09
Reference Manual
gllvm.html , gllvm.pdf
Reverse Suggests
ecostats
URL
https://jenniniku.github.io/gllvm/ , https://github.com/JenniNiku/gllvm
Version
2.0.13
Vignettes
Analysing multivariate abundance data using gllvm ( source , R code ) Assessing Convergence in gllvm models ( source ) Analysing high-dimensional microbial community data using gllvm ( source , R code ) Introduction to gllvm Part 1: Ordination ( source , R code ) Introduction to gllvm Part 2: Species correlations ( source , R code ) How to use the quadratic response model ( source , R code ) Ordination with predictors ( source ) Phylogenetic random effects ( source ) Analysing sparse ecological percent cover data using gllvm ( source , R code ) Correlation structures for latent variables and row effects ( source )
Windows Binaries
r-devel: gllvm_2.0.13.zip , r-release: gllvm_2.0.13.zip , r-oldrel: gllvm_2.0.13.zip
MacOS Binaries
r-release (arm64): gllvm_2.0.13.tgz , r-oldrel (arm64): gllvm_2.0.13.tgz , r-release (x86_64): gllvm_2.0.13.tgz , r-oldrel (x86_64): gllvm_2.0.13.tgz
Version
2.0.13
LinkingTo
TMB , Rcpp , RcppEigen
TMBRcppRcppEigen
Published
2026-07-09
DOI
10.32614/CRAN.package.gllvm
10.32614/CRAN.package.gllvm
Author
Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut]
Maintainer
Jenni Niku <jenni.m.e.niku at jyu.fi>
BugReports
https://github.com/JenniNiku/gllvm/issues
https://github.com/JenniNiku/gllvm/issues
License
GPL-2
GPL-2
URL
https://jenniniku.github.io/gllvm/ , https://github.com/JenniNiku/gllvm
https://jenniniku.github.io/gllvm/https://github.com/JenniNiku/gllvm
NeedsCompilation
yes
Citation
gllvm citation info
gllvm citation info
Materials
README , NEWS
READMENEWS
In Views
Environmetrics , MixedModels
EnvironmetricsMixedModels
CRAN Checks
gllvm results
gllvm results
Reference Manual
gllvm.html , gllvm.pdf
gllvm.htmlgllvm.pdf
Vignettes
Analysing multivariate abundance data using gllvm ( source , R code ) Assessing Convergence in gllvm models ( source ) Analysing high-dimensional microbial community data using gllvm ( source , R code ) Introduction to gllvm Part 1: Ordination ( source , R code ) Introduction to gllvm Part 2: Species correlations ( source , R code ) How to use the quadratic response model ( source , R code ) Ordination with predictors ( source ) Phylogenetic random effects ( source ) Analysing sparse ecological percent cover data using gllvm ( source , R code ) Correlation structures for latent variables and row effects ( source )
Analysing multivariate abundance data using gllvmsourceR codeAssessing Convergence in gllvm modelssourceAnalysing high-dimensional microbial community data using gllvmsourceR codeIntroduction to gllvm Part 1: OrdinationsourceR codeIntroduction to gllvm Part 2: Species correlationssourceR codeHow to use the quadratic response modelsourceR codeOrdination with predictorssourcePhylogenetic random effects
Package Source
gllvm_2.0.13.tar.gz
gllvm_2.0.13.tar.gz
Windows Binaries
r-devel: gllvm_2.0.13.zip , r-release: gllvm_2.0.13.zip , r-oldrel: gllvm_2.0.13.zip
gllvm_2.0.13.zipgllvm_2.0.13.zipgllvm_2.0.13.zip
MacOS Binaries
r-release (arm64): gllvm_2.0.13.tgz , r-oldrel (arm64): gllvm_2.0.13.tgz , r-release (x86_64): gllvm_2.0.13.tgz , r-oldrel (x86_64): gllvm_2.0.13.tgz
gllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgz
Old Sources
gllvm archive
gllvm archive
Reverse Suggests
ecostats
ecostats
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"gllvm.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/refman/gllvm.html"},{"label":"gllvm.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/gllvm.pdf"},{"label":"Analysing multivariate abundance data using gllvm","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette1.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette1.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette1.R"},{"label":"Assessing Convergence in gllvm models","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette10.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette10.Rmd"},{"label":"Analysing high-dimensional microbial community data using gllvm","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette2.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette2.rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette2.R"},{"label":"Introduction to gllvm Part 1: Ordination","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette3.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette3.rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette3.R"},{"label":"Introduction to gllvm Part 2: Species correlations","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette4.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette4.rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette4.R"},{"label":"How to use the quadratic response model","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette5.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette5.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette5.R"},{"label":"Ordination with predictors","section":"","type":"","url":"https://cran.r-project.org/web/packages/gllvm/vignettes/vignette6.html"}]
Text
Reference manual: gllvm.html , gllvm.pdf Vignettes: Analysing multivariate abundance data using gllvm ( source , R code ) Assessing Convergence in gllvm models ( source ) Analysing high-dimensional microbial community data using gllvm ( source , R code ) Introduction to gllvm Part 1: Ordination ( source , R code ) Introduction to gllvm Part 2: Species correlations ( source , R code ) How to use the quadratic response model ( source , R code ) Ordination with predictors ( source ) Phylogenetic random effects ( source ) Analysing sparse ecological percent cover data using gllvm ( source , R code ) Correlation structures for latent variables and row effects ( source )
Downloads
Heading
Downloads
Links
[{"label":"gllvm_2.0.13.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/gllvm_2.0.13.tar.gz"},{"label":"gllvm_2.0.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/gllvm_2.0.13.zip"},{"label":"gllvm_2.0.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/gllvm_2.0.13.zip"},{"label":"gllvm_2.0.13.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/gllvm_2.0.13.zip"},{"label":"gllvm_2.0.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/gllvm_2.0.13.tgz"},{"label":"gllvm_2.0.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/gllvm_2.0.13.tgz"},{"label":"gllvm_2.0.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/gllvm_2.0.13.tgz"},{"label":"gllvm_2.0.13.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/gllvm_2.0.13.tgz"},{"label":"gllvm archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/gllvm"}]
Text
Package source: gllvm_2.0.13.tar.gz Windows binaries: r-devel: gllvm_2.0.13.zip , r-release: gllvm_2.0.13.zip , r-oldrel: gllvm_2.0.13.zip macOS binaries: r-release (arm64): gllvm_2.0.13.tgz , r-oldrel (arm64): gllvm_2.0.13.tgz , r-release (x86_64): gllvm_2.0.13.tgz , r-oldrel (x86_64): gllvm_2.0.13.tgz Old sources: gllvm archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"ecostats","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/index.html"}]
Text
Reverse suggests: ecostats
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=gllvm","section":"","type":"","url":"https://CRAN.R-project.org/package=gllvm"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=gllvm to link to this page.
Materials 2
READMENEWS
Documentation 28
gllvm.htmlgllvm.pdfAnalysing multivariate abundance data using gllvmsourceR codeAssessing Convergence in gllvm modelssourceAnalysing high-dimensional microbial community data using gllvmsourceR codeIntroduction to gllvm Part 1: OrdinationsourceR codeIntroduction to gllvm Part 2: Species correlationssourceR codeHow to use the quadratic response modelsourceR codeOrdination with predictorssourcePhylogenetic random effectssourceAnalysing sparse ecological percent cover data using gllvmsourceR codeCorrelation structures for latent variables and row effectssource
Vignettes 26
Analysing multivariate abundance data using gllvmsourceR codeAssessing Convergence in gllvm modelssourceAnalysing high-dimensional microbial community data using gllvmsourceR codeIntroduction to gllvm Part 1: OrdinationsourceR codeIntroduction to gllvm Part 2: Species correlationssourceR codeHow to use the quadratic response modelsourceR codeOrdination with predictorssourcePhylogenetic random effectssourceAnalysing sparse ecological percent cover data using gllvmsourceR codeCorrelation structures for latent variables and row effectssource
Downloads 9
gllvm_2.0.13.tar.gzgllvm_2.0.13.zipgllvm_2.0.13.zipgllvm_2.0.13.zipgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm archive
All page links 69
TMBMASSMatrixfishModmgcvalabamanloptrmethodsRcppRcppEigenknitrrmarkdowntestthatgcluscorrplotlatticemvabundapeparallel10.32614/CRAN.package.gllvmhttps://github.com/JenniNiku/gllvm/issuesGPL-2https://jenniniku.github.io/gllvm/https://github.com/JenniNiku/gllvmgllvm citation infoREADMENEWSEnvironmetricsMixedModelsgllvm resultsgllvm.htmlgllvm.pdfAnalysing multivariate abundance data using gllvmsourceR codeAssessing Convergence in gllvm modelssourceAnalysing high-dimensional microbial community data using gllvmsourceR codeIntroduction to gllvm Part 1: OrdinationsourceR codeIntroduction to gllvm Part 2: Species correlationssourceR codeHow to use the quadratic response modelsourceR codeOrdination with predictorssourcePhylogenetic random effectsgllvm_2.0.13.tar.gzgllvm_2.0.13.zipgllvm_2.0.13.zipgllvm_2.0.13.zipgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm_2.0.13.tgzgllvm archiveecostatssourceAnalysing sparse ecological percent cover data using gllvmsourceR codeCorrelation structures for latent variables and row effectssourcehttps://CRAN.R-project.org/package=gllvm

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.0.112026-06-222026-07-012026-08-30
CRAN2.0.102026-05-102026-06-222026-08-30
CRAN2.0.52025-07-132026-05-102026-08-30
CRAN2.0.22025-04-082026-05-312026-08-30
CRAN2.0.12025-04-012026-05-312026-08-30
CRAN2.02024-11-262026-05-312026-08-30
CRAN1.4.32023-09-182026-05-312026-08-30
CRAN1.4.12023-01-072026-05-312026-08-30
CRAN1.4.02022-12-172026-05-312026-08-30
CRAN1.3.12021-07-282026-05-312026-08-30
CRAN1.3.02021-04-302026-05-312026-08-30
CRAN1.2.32020-12-112026-05-312026-08-30
CRAN1.2.22020-05-112026-05-312026-08-30
CRAN1.2.12020-01-232026-05-312026-08-30
CRAN1.2.02019-12-202026-05-312026-08-30
CRAN1.1.72019-09-172026-05-312026-08-30
CRAN1.1.62019-08-232026-05-312026-08-30
CRAN1.1.32019-04-162026-05-312026-08-30
CRAN1.1.22019-01-022026-05-312026-08-30
CRAN1.1.02018-11-142026-05-312026-08-30
CRAN1.02018-07-302026-05-312026-08-30
CRAN0.1.02017-12-202026-05-312026-08-30
CRAN2.0.152026-09-132026-09-13
CRAN2.0.132026-07-102026-07-10

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Analysis of Ecological and Environmental Data · 2026-10-22Mixed, Multilevel, and Hierarchical Models in R · 2026-10-22