lava

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / lava

lava

v1.9.1
lava
Repository CRANLicense Apache License (== 2.0)Lifecycle activeNeeds compilation no
DOI
10.32614/CRAN.package.lava
Task views
Psychometric Models and Methods
Reverse imports
591
Reverse depends
118

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Psychometric Models and Methods
Reverse imports
591
Reverse depends
118

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.9.1
License
Apache License (== 2.0)
Lifecycle
active
Needs compilation
no
Reverse depends
118
Reverse imports
591
Last observed
2026-05-30
CRAN
cran.r-project.org/package=lava

수집 소스별 패키지 정보

1개 소스
CRAN
1.9.1
2026-05-30
License
Apache License (== 2.0)
Depends
R (>= 3.5.0)
Imports
cli, future.apply, graphics, grDevices, methods, numDeriv, progressr, stats, survival, SQUAREM, utils
Suggests
KernSmooth, Rgraphviz, data.table, ellipse, fields, future, geepack, graph, knitr, rmarkdown, igraph (>= 0.6), lavaSearch2, lme4 (>= 1.1.35.1), MASS, Matrix (>= 1.6.3), mets (>= 1.1), nlme, optimx, polycor, quantreg, rgl, svglite, targeted (>= 0.4), testthat (>= 0.11), vdiffr, visNetwork
Needs compilation
no
Reverse depends
118
Reverse imports
591
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 37개
PackageTypeSpec
cli
CRAN · 1.9.1 · 2026-05-30
Importscli
future.apply
CRAN · 1.9.1 · 2026-05-30
Importsfuture.apply
graphics
CRAN · 1.9.1 · 2026-05-30
Importsgraphics
grDevices
CRAN · 1.9.1 · 2026-05-30
ImportsgrDevices
methods
CRAN · 1.9.1 · 2026-05-30
Importsmethods
1 / 8

이 패키지를 쓰는 패키지

5개 표시전체 18개
PackageTypeSpec
carts
0.1.0
CRAN · 2026-05-30
Dependslava (>= 1.8.0)
lavaSearch2
2.0.3
CRAN · 2026-05-30
Dependslava (>= 1.6.4)
NMMIPW
0.1.0
CRAN · 2026-05-30
Dependslava
BuyseTest
3.3.4
CRAN · 2026-05-30
Importslava
DIRMR
0.5.0
CRAN · 2026-05-30
Importslava
1 / 4

Reverse dependency summary

2 types
TypePackages
Depends3
Imports15

패키지 페이지

Reverse depends
6
Reverse imports
30
All links
78
Repository
CRAN
Version
1.9.1
Collected
2026-05-27 11:39:09
Package page
https://cran.r-project.org/web/packages/lava/index.html
DOI
10.32614/CRAN.package.lava
Citation
https://cran.r-project.org/web/packages/lava/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_lava.html
README
https://cran.r-project.org/web/packages/lava/readme/README.html
NEWS
https://cran.r-project.org/web/packages/lava/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/lava/refman/lava.html
Reference PDF
https://cran.r-project.org/web/packages/lava/lava.pdf
Source package
https://cran.r-project.org/src/contrib/lava_1.9.1.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/lava
In views
Psychometrics
Page fields
Author
Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb]
BugReports
https://github.com/kkholst/lava/issues
CRAN Checks
lava results
Citation
lava citation info
DOI
10.32614/CRAN.package.lava
In Views
Psychometrics
License
Apache License (== 2.0)
Maintainer
Klaus K. Holst <klaus at holst.it>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
lava archive
Package Source
lava_1.9.1.tar.gz
Published
2026-05-14
Reference Manual
lava.html , lava.pdf
Reverse Depends
carts , lavaSearch2 , NMMIPW
Reverse Imports
BuyseTest , DIRMR , FunctanSNP , LMMstar , LRQVB , mets , pec , poissonsuperlearner , polle , prodlim , Publish , riskRegression , SmoothHazard , targeted , timereg
URL
https://kkholst.github.io/lava/ , https://github.com/kkholst/lava
Version
1.9.1
Vignettes
Estimating partial correlations with lava ( source , R code ) The Art of Influence ( source , R code ) Non-linear latent variable models and error-in-variable models ( source , R code )
Windows Binaries
r-devel: lava_1.9.1.zip , r-release: lava_1.9.1.zip , r-oldrel: lava_1.9.1.zip
MacOS Binaries
r-release (arm64): lava_1.9.1.tgz , r-oldrel (arm64): lava_1.9.1.tgz , r-release (x86_64): lava_1.9.1.tgz , r-oldrel (x86_64): lava_1.9.1.tgz
Version
1.9.1
Published
2026-05-14
DOI
10.32614/CRAN.package.lava
Author
Klaus K. Holst [aut, cre], Benedikt Sommer [ctb], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer
Klaus K. Holst <klaus at holst.it>
BugReports
https://github.com/kkholst/lava/issues
License
Apache License (== 2.0)
URL
https://kkholst.github.io/lava/ , https://github.com/kkholst/lava
NeedsCompilation
no
Citation
lava citation info
Materials
README , NEWS
In Views
Psychometrics
CRAN Checks
lava results
Reference Manual
lava.html , lava.pdf
Vignettes
Estimating partial correlations with lava ( source , R code ) The Art of Influence ( source , R code ) Non-linear latent variable models and error-in-variable models ( source , R code )
Package Source
lava_1.9.1.tar.gz
Windows Binaries
r-devel: lava_1.9.1.zip , r-release: lava_1.9.1.zip , r-oldrel: lava_1.9.1.zip
MacOS Binaries
r-release (arm64): lava_1.9.1.tgz , r-oldrel (arm64): lava_1.9.1.tgz , r-release (x86_64): lava_1.9.1.tgz , r-oldrel (x86_64): lava_1.9.1.tgz
Old Sources
lava archive
Reverse Depends
carts , lavaSearch2 , NMMIPW
Reverse Imports
BuyseTest , DIRMR , FunctanSNP , LMMstar , LRQVB , mets , pec , poissonsuperlearner , polle , prodlim , Publish , riskRegression , SmoothHazard , targeted , timereg
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"lava.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/refman/lava.html"},{"label":"lava.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/lava.pdf"},{"label":"Estimating partial correlations with lava","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/correlation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/correlation.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/correlation.R"},{"label":"The Art of Influence","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/influencefunction.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/influencefunction.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/influencefunction.R"},{"label":"Non-linear latent variable models and error-in-variable models","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/nonlinear.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/nonlinear.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lava/vignettes/nonlinear.R"}]
Text
Reference manual: lava.html , lava.pdf Vignettes: Estimating partial correlations with lava ( source , R code ) The Art of Influence ( source , R code ) Non-linear latent variable models and error-in-variable models ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"lava_1.9.1.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/lava_1.9.1.tar.gz"},{"label":"lava_1.9.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/lava_1.9.1.zip"},{"label":"lava_1.9.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/lava_1.9.1.zip"},{"label":"lava_1.9.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/lava_1.9.1.zip"},{"label":"lava_1.9.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/lava_1.9.1.tgz"},{"label":"lava_1.9.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/lava_1.9.1.tgz"},{"label":"lava_1.9.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/lava_1.9.1.tgz"},{"label":"lava_1.9.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/lava_1.9.1.tgz"},{"label":"lava archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/lava"}]
Text
Package source: lava_1.9.1.tar.gz Windows binaries: r-devel: lava_1.9.1.zip , r-release: lava_1.9.1.zip , r-oldrel: lava_1.9.1.zip macOS binaries: r-release (arm64): lava_1.9.1.tgz , r-oldrel (arm64): lava_1.9.1.tgz , r-release (x86_64): lava_1.9.1.tgz , r-oldrel (x86_64): lava_1.9.1.tgz Old sources: lava archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"carts","section":"","type":"","url":"https://cran.r-project.org/web/packages/carts/index.html"},{"label":"lavaSearch2","section":"","type":"","url":"https://cran.r-project.org/web/packages/lavaSearch2/index.html"},{"label":"NMMIPW","section":"","type":"","url":"https://cran.r-project.org/web/packages/NMMIPW/index.html"},{"label":"BuyseTest","section":"","type":"","url":"https://cran.r-project.org/web/packages/BuyseTest/index.html"},{"label":"DIRMR","section":"","type":"","url":"https://cran.r-project.org/web/packages/DIRMR/index.html"},{"label":"FunctanSNP","section":"","type":"","url":"https://cran.r-project.org/web/packages/FunctanSNP/index.html"},{"label":"LMMstar","section":"","type":"","url":"https://cran.r-project.org/web/packages/LMMstar/index.html"},{"label":"LRQVB","section":"","type":"","url":"https://cran.r-project.org/web/packages/LRQVB/index.html"},{"label":"mets","section":"","type":"","url":"https://cran.r-project.org/web/packages/mets/index.html"},{"label":"pec","section":"","type":"","url":"https://cran.r-project.org/web/packages/pec/index.html"},{"label":"poissonsuperlearner","section":"","type":"","url":"https://cran.r-project.org/web/packages/poissonsuperlearner/index.html"},{"label":"polle","section":"","type":"","url":"https://cran.r-project.org/web/packages/polle/index.html"},{"label":"prodlim","section":"","type":"","url":"https://cran.r-project.org/web/packages/prodlim/index.html"},{"label":"Publish","section":"","type":"","url":"https://cran.r-project.org/web/packages/Publish/index.html"},{"label":"riskRegression","section":"","type":"","url":"https://cran.r-project.org/web/packages/riskRegression/index.html"},{"label":"SmoothHazard","section":"","type":"","url":"https://cran.r-project.org/web/packages/SmoothHazard/index.html"},{"label":"targeted","section":"","type":"","url":"https://cran.r-project.org/web/packages/targeted/index.html"},{"label":"timereg","section":"","type":"","url":"https://cran.r-project.org/web/packages/timereg/index.html"}]
Text
Reverse depends: carts , lavaSearch2 , NMMIPW Reverse imports: BuyseTest , DIRMR , FunctanSNP , LMMstar , LRQVB , mets , pec , poissonsuperlearner , polle , prodlim , Publish , riskRegression , SmoothHazard , targeted , timereg
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=lava","section":"","type":"","url":"https://CRAN.R-project.org/package=lava"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=lava to link to this page.
Materials 2
Documentation 11
Vignettes 9
Downloads 9
All page links 78

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.9.12026-05-292026-05-30
CRAN1.9.02026-05-152026-05-15

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.