brglm2

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / brglm2

brglm2

v1.1.0
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.brglm2
Reverse imports
464
Reverse depends
154

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Reverse imports
464
Reverse depends
154

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.1.0
License
GPL-3
Lifecycle
active
Needs compilation
yes
Reverse depends
154
Reverse imports
464
Last observed
2026-06-04
CRAN
cran.r-project.org/package=brglm2

수집 소스별 패키지 정보

1개 소스
CRAN
1.1.0
2026-06-04
License
GPL-3
Depends
R (>= 3.5)
Imports
MASS, stats, Matrix, graphics, nnet, enrichwith, numDeriv, statmod, nleqslv
Suggests
detectseparation, knitr, rmarkdown, covr, tinytest, VGAM, brglm
Needs compilation
yes
Reverse depends
154
Reverse imports
464
Lifecycle
active
Last observed
2026-06-04 01:07:22

이 패키지가 의존하는 패키지

5개 표시전체 16개
PackageTypeSpec
enrichwith
CRAN · 1.1.0 · 2026-06-04
Importsenrichwith
graphics
CRAN · 1.1.0 · 2026-06-04
Importsgraphics
MASS
CRAN · 1.1.0 · 2026-06-04
ImportsMASS
Matrix
CRAN · 1.1.0 · 2026-06-04
ImportsMatrix
nleqslv
CRAN · 1.1.0 · 2026-06-04
Importsnleqslv
1 / 4

이 패키지를 쓰는 패키지

5개 표시전체 24개
PackageTypeSpec
LogisticCopula
0.1.0
CRAN · 2026-06-04
Dependsbrglm2 (>= 0.9)
pawscore
1.0.3
CRAN · 2026-06-04
Dependsbrglm2 (>= 0.6)
ProSGPV
1.0.0
CRAN · 2026-06-04
Dependsbrglm2
AssumpSure
1.1.4
CRAN · 2026-06-04
Importsbrglm2
ExactMed
0.3.0
CRAN · 2026-06-04
Importsbrglm2
1 / 5

Reverse dependency summary

3 types
TypePackages
Depends3
Imports10
Suggests11

패키지 페이지

Reverse depends
6
Reverse imports
18
Reverse suggests
22
All links
75
Repository
CRAN
Version
1.1.0
Collected
2026-05-21 11:32:36
Package page
https://cran.r-project.org/web/packages/brglm2/index.html
DOI
10.32614/CRAN.package.brglm2
Citation
https://cran.r-project.org/web/packages/brglm2/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_brglm2.html
README
https://cran.r-project.org/web/packages/brglm2/readme/README.html
NEWS
https://cran.r-project.org/web/packages/brglm2/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/brglm2/refman/brglm2.html
Reference PDF
https://cran.r-project.org/web/packages/brglm2/brglm2.pdf
Source package
https://cran.r-project.org/src/contrib/brglm2_1.1.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/brglm2
Page fields
Author
Ioannis Kosmidis [aut, cre], Euloge Clovis Kenne Pagui [aut], Federico Boiocchi [ctb], Philipp Sterzinger [ctb], Kjell Konis [ctb], Nicola Sartori [ctb]
BugReports
https://github.com/ikosmidis/brglm2/issues
CRAN Checks
brglm2 results
Citation
brglm2 citation info
DOI
10.32614/CRAN.package.brglm2
License
GPL-3
Maintainer
Ioannis Kosmidis <ioannis.kosmidis at warwick.ac.uk>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
brglm2 archive
Package Source
brglm2_1.1.0.tar.gz
Published
2026-04-29
Reference Manual
brglm2.html , brglm2.pdf
Reverse Depends
LogisticCopula , pawscore , ProSGPV
Reverse Imports
AssumpSure , ExactMed , glmfitmiss , HOIFCar , PPSFS , smcfcs , SOIL , SPIChanges , ttScreening
Reverse Suggests
cobalt , detectseparation , enrichwith , ggeffects , marginaleffects , meta , modelbased , netmeta , parameters , vecmatch , WeightIt
URL
https://github.com/ikosmidis/brglm2
Version
1.1.0
Vignettes
Adjacent category logit models using **brglm2** ( source , R code ) Estimating the exponential of regression parameters using **brglm2** ( source , R code ) Bias reduction in generalized linear models ( source , R code ) Multinomial logistic regression using **brglm2** ( source , R code ) Negative binomial regression using **brglm2** ( source , R code )
Windows Binaries
r-devel: brglm2_1.1.0.zip , r-release: brglm2_1.1.0.zip , r-oldrel: brglm2_1.1.0.zip
MacOS Binaries
r-release (arm64): brglm2_1.1.0.tgz , r-oldrel (arm64): brglm2_1.1.0.tgz , r-release (x86_64): brglm2_1.1.0.tgz , r-oldrel (x86_64): brglm2_1.1.0.tgz
Version
1.1.0
Published
2026-04-29
DOI
10.32614/CRAN.package.brglm2
10.32614/CRAN.package.brglm2
Author
Ioannis Kosmidis [aut, cre], Euloge Clovis Kenne Pagui [aut], Federico Boiocchi [ctb], Philipp Sterzinger [ctb], Kjell Konis [ctb], Nicola Sartori [ctb]
https://orcid.org/0000-0003-1556-0302https://orcid.org/0000-0002-8998-9251https://orcid.org/0009-0007-7348-5810
Maintainer
Ioannis Kosmidis <ioannis.kosmidis at warwick.ac.uk>
BugReports
https://github.com/ikosmidis/brglm2/issues
https://github.com/ikosmidis/brglm2/issues
License
GPL-3
GPL-3
URL
https://github.com/ikosmidis/brglm2
https://github.com/ikosmidis/brglm2
NeedsCompilation
yes
Citation
brglm2 citation info
brglm2 citation info
Materials
README , NEWS
READMENEWS
CRAN Checks
brglm2 results
brglm2 results
Reference Manual
brglm2.html , brglm2.pdf
brglm2.htmlbrglm2.pdf
Vignettes
Adjacent category logit models using **brglm2** ( source , R code ) Estimating the exponential of regression parameters using **brglm2** ( source , R code ) Bias reduction in generalized linear models ( source , R code ) Multinomial logistic regression using **brglm2** ( source , R code ) Negative binomial regression using **brglm2** ( source , R code )
Adjacent category logit models using **brglm2**sourceR codeEstimating the exponential of regression parameters using **brglm2**sourceR codeBias reduction in generalized linear modelssourceR codeMultinomial logistic regression using **brglm2**sourceR codeNegative binomial regression using **brglm2**sourceR code
Package Source
brglm2_1.1.0.tar.gz
brglm2_1.1.0.tar.gz
Windows Binaries
r-devel: brglm2_1.1.0.zip , r-release: brglm2_1.1.0.zip , r-oldrel: brglm2_1.1.0.zip
brglm2_1.1.0.zipbrglm2_1.1.0.zipbrglm2_1.1.0.zip
MacOS Binaries
r-release (arm64): brglm2_1.1.0.tgz , r-oldrel (arm64): brglm2_1.1.0.tgz , r-release (x86_64): brglm2_1.1.0.tgz , r-oldrel (x86_64): brglm2_1.1.0.tgz
brglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgz
Old Sources
brglm2 archive
brglm2 archive
Reverse Depends
LogisticCopula , pawscore , ProSGPV
LogisticCopulapawscoreProSGPV
Reverse Imports
AssumpSure , ExactMed , glmfitmiss , HOIFCar , PPSFS , smcfcs , SOIL , SPIChanges , ttScreening
AssumpSureExactMedglmfitmissHOIFCarPPSFSsmcfcsSOILSPIChangesttScreening
Reverse Suggests
cobalt , detectseparation , enrichwith , ggeffects , marginaleffects , meta , modelbased , netmeta , parameters , vecmatch , WeightIt
cobaltdetectseparationenrichwithggeffectsmarginaleffectsmetamodelbasednetmetaparametersvecmatchWeightIt
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"brglm2.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/refman/brglm2.html"},{"label":"brglm2.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/brglm2.pdf"},{"label":"Adjacent category logit models using **brglm2**","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/adjacent.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/adjacent.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/adjacent.R"},{"label":"Estimating the exponential of regression parameters using **brglm2**","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/expo.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/expo.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/expo.R"},{"label":"Bias reduction in generalized linear models","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/iteration.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/iteration.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/iteration.R"},{"label":"Multinomial logistic regression using **brglm2**","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/multinomial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/multinomial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/multinomial.R"},{"label":"Negative binomial regression using **brglm2**","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/negativeBinomial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/negativeBinomial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/brglm2/vignettes/negativeBinomial.R"}]
Text
Reference manual: brglm2.html , brglm2.pdf Vignettes: Adjacent category logit models using **brglm2** ( source , R code ) Estimating the exponential of regression parameters using **brglm2** ( source , R code ) Bias reduction in generalized linear models ( source , R code ) Multinomial logistic regression using **brglm2** ( source , R code ) Negative binomial regression using **brglm2** ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"brglm2_1.1.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/brglm2_1.1.0.tar.gz"},{"label":"brglm2_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/brglm2_1.1.0.zip"},{"label":"brglm2_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/brglm2_1.1.0.zip"},{"label":"brglm2_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/brglm2_1.1.0.zip"},{"label":"brglm2_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/brglm2_1.1.0.tgz"},{"label":"brglm2_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/brglm2_1.1.0.tgz"},{"label":"brglm2_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/brglm2_1.1.0.tgz"},{"label":"brglm2_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/brglm2_1.1.0.tgz"},{"label":"brglm2 archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/brglm2"}]
Text
Package source: brglm2_1.1.0.tar.gz Windows binaries: r-devel: brglm2_1.1.0.zip , r-release: brglm2_1.1.0.zip , r-oldrel: brglm2_1.1.0.zip macOS binaries: r-release (arm64): brglm2_1.1.0.tgz , r-oldrel (arm64): brglm2_1.1.0.tgz , r-release (x86_64): brglm2_1.1.0.tgz , r-oldrel (x86_64): brglm2_1.1.0.tgz Old sources: brglm2 archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"LogisticCopula","section":"","type":"","url":"https://cran.r-project.org/web/packages/LogisticCopula/index.html"},{"label":"pawscore","section":"","type":"","url":"https://cran.r-project.org/web/packages/pawscore/index.html"},{"label":"ProSGPV","section":"","type":"","url":"https://cran.r-project.org/web/packages/ProSGPV/index.html"},{"label":"AssumpSure","section":"","type":"","url":"https://cran.r-project.org/web/packages/AssumpSure/index.html"},{"label":"ExactMed","section":"","type":"","url":"https://cran.r-project.org/web/packages/ExactMed/index.html"},{"label":"glmfitmiss","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmfitmiss/index.html"},{"label":"HOIFCar","section":"","type":"","url":"https://cran.r-project.org/web/packages/HOIFCar/index.html"},{"label":"PPSFS","section":"","type":"","url":"https://cran.r-project.org/web/packages/PPSFS/index.html"},{"label":"smcfcs","section":"","type":"","url":"https://cran.r-project.org/web/packages/smcfcs/index.html"},{"label":"SOIL","section":"","type":"","url":"https://cran.r-project.org/web/packages/SOIL/index.html"},{"label":"SPIChanges","section":"","type":"","url":"https://cran.r-project.org/web/packages/SPIChanges/index.html"},{"label":"ttScreening","section":"","type":"","url":"https://cran.r-project.org/web/packages/ttScreening/index.html"},{"label":"cobalt","section":"","type":"","url":"https://cran.r-project.org/web/packages/cobalt/index.html"},{"label":"detectseparation","section":"","type":"","url":"https://cran.r-project.org/web/packages/detectseparation/index.html"},{"label":"enrichwith","section":"","type":"","url":"https://cran.r-project.org/web/packages/enrichwith/index.html"},{"label":"ggeffects","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggeffects/index.html"},{"label":"marginaleffects","section":"","type":"","url":"https://cran.r-project.org/web/packages/marginaleffects/index.html"},{"label":"meta","section":"","type":"","url":"https://cran.r-project.org/web/packages/meta/index.html"},{"label":"modelbased","section":"","type":"","url":"https://cran.r-project.org/web/packages/modelbased/index.html"},{"label":"netmeta","section":"","type":"","url":"https://cran.r-project.org/web/packages/netmeta/index.html"}]
Text
Reverse depends: LogisticCopula , pawscore , ProSGPV Reverse imports: AssumpSure , ExactMed , glmfitmiss , HOIFCar , PPSFS , smcfcs , SOIL , SPIChanges , ttScreening Reverse suggests: cobalt , detectseparation , enrichwith , ggeffects , marginaleffects , meta , modelbased , netmeta , parameters , vecmatch , WeightIt
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=brglm2","section":"","type":"","url":"https://CRAN.R-project.org/package=brglm2"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=brglm2 to link to this page.
Materials 2
READMENEWS
Documentation 17
brglm2.htmlbrglm2.pdfAdjacent category logit models using **brglm2**sourceR codeEstimating the exponential of regression parameters using **brglm2**sourceR codeBias reduction in generalized linear modelssourceR codeMultinomial logistic regression using **brglm2**sourceR codeNegative binomial regression using **brglm2**sourceR code
Vignettes 15
Adjacent category logit models using **brglm2**sourceR codeEstimating the exponential of regression parameters using **brglm2**sourceR codeBias reduction in generalized linear modelssourceR codeMultinomial logistic regression using **brglm2**sourceR codeNegative binomial regression using **brglm2**sourceR code
Downloads 9
brglm2_1.1.0.tar.gzbrglm2_1.1.0.zipbrglm2_1.1.0.zipbrglm2_1.1.0.zipbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2 archive
All page links 75
MASSstatsMatrixgraphicsnnetenrichwithnumDerivstatmodnleqslvdetectseparationknitrrmarkdowncovrtinytestVGAMbrglm10.32614/CRAN.package.brglm2https://orcid.org/0000-0003-1556-0302https://orcid.org/0000-0002-8998-9251https://orcid.org/0009-0007-7348-5810https://github.com/ikosmidis/brglm2/issuesGPL-3https://github.com/ikosmidis/brglm2brglm2 citation infoREADMENEWSbrglm2 resultsbrglm2.htmlbrglm2.pdfAdjacent category logit models using **brglm2**sourceR codeEstimating the exponential of regression parameters using **brglm2**sourceR codeBias reduction in generalized linear modelssourceR codeMultinomial logistic regression using **brglm2**sourceR codeNegative binomial regression using **brglm2**sourceR codebrglm2_1.1.0.tar.gzbrglm2_1.1.0.zipbrglm2_1.1.0.zipbrglm2_1.1.0.zipbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2_1.1.0.tgzbrglm2 archiveLogisticCopulapawscoreProSGPVAssumpSureExactMedglmfitmissHOIFCarPPSFSsmcfcsSOILSPIChangesttScreeningcobaltggeffectsmarginaleffectsmetamodelbasednetmetaparametersvecmatchWeightIthttps://CRAN.R-project.org/package=brglm2

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.0.12025-11-222026-05-312026-05-31
CRAN1.0.02025-08-292026-05-312026-05-31
CRAN0.9.22023-10-112026-05-312026-05-31
CRAN0.92023-02-062026-05-312026-05-31
CRAN0.8.22021-11-212026-05-312026-05-31
CRAN0.8.12021-09-272026-05-312026-05-31
CRAN0.8.02021-07-172026-05-312026-05-31
CRAN0.7.12021-01-222026-05-312026-05-31
CRAN0.7.02020-10-192026-05-312026-05-31
CRAN0.6.22020-03-192026-05-312026-05-31
CRAN0.6.12020-02-062026-05-312026-05-31
CRAN0.6.02019-11-082026-05-312026-05-31
CRAN0.5.22019-10-122026-05-312026-05-31
CRAN0.5.12019-02-142026-05-312026-05-31
CRAN0.5.02019-02-062026-05-312026-05-31
CRAN0.1.82018-04-162026-05-312026-05-31
CRAN0.1.72018-02-232026-05-312026-05-31
CRAN0.1.62018-02-092026-05-312026-05-31
CRAN0.1.52017-10-132026-05-312026-05-31
CRAN0.1.42017-05-232026-05-312026-05-31
CRAN0.1.32017-04-042026-05-312026-05-31
CRAN1.1.02026-06-012026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.