lava

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / lava

lava

v1.9.1
Repository CRANLicense Apache License (== 2.0)Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.lava
Task views
Psychometric Models and Methods
Reverse imports
757
Reverse depends
151

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Psychometric Models and Methods
Reverse imports
757
Reverse depends
151

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
151
Reverse imports
757
Last observed
2026-06-04
CRAN
cran.r-project.org/package=lava

수집 소스별 패키지 정보

1개 소스
CRAN
1.9.1
2026-06-04
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
151
Reverse imports
757
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 37개
PackageTypeSpec
cli
CRAN · 1.9.1 · 2026-06-04
Importscli
future.apply
CRAN · 1.9.1 · 2026-06-04
Importsfuture.apply
graphics
CRAN · 1.9.1 · 2026-06-04
Importsgraphics
grDevices
CRAN · 1.9.1 · 2026-06-04
ImportsgrDevices
methods
CRAN · 1.9.1 · 2026-06-04
Importsmethods
1 / 8

이 패키지를 쓰는 패키지

5개 표시전체 18개
PackageTypeSpec
carts
0.1.0
CRAN · 2026-06-04
Dependslava (>= 1.8.0)
lavaSearch2
2.0.3
CRAN · 2026-06-04
Dependslava (>= 1.6.4)
NMMIPW
0.1.0
CRAN · 2026-06-04
Dependslava
BuyseTest
3.3.9
CRAN · 2026-06-04
Importslava
DIRMR
0.5.0
CRAN · 2026-06-04
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
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
https://github.com/kkholst/lava/issues
License
Apache License (== 2.0)
Apache License (== 2.0)
URL
https://kkholst.github.io/lava/ , https://github.com/kkholst/lava
https://kkholst.github.io/lava/https://github.com/kkholst/lava
NeedsCompilation
no
Citation
lava citation info
lava citation info
Materials
README , NEWS
READMENEWS
In Views
Psychometrics
Psychometrics
CRAN Checks
lava results
lava results
Reference Manual
lava.html , lava.pdf
lava.htmllava.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 )
Estimating partial correlations with lavasourceR codeThe Art of InfluencesourceR codeNon-linear latent variable models and error-in-variable modelssourceR code
Package Source
lava_1.9.1.tar.gz
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
lava_1.9.1.ziplava_1.9.1.ziplava_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
lava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgz
Old Sources
lava archive
lava archive
Reverse Depends
carts , lavaSearch2 , NMMIPW
cartslavaSearch2NMMIPW
Reverse Imports
BuyseTest , DIRMR , FunctanSNP , LMMstar , LRQVB , mets , pec , poissonsuperlearner , polle , prodlim , Publish , riskRegression , SmoothHazard , targeted , timereg
BuyseTestDIRMRFunctanSNPLMMstarLRQVBmetspecpoissonsuperlearnerpolleprodlimPublishriskRegressionSmoothHazardtargetedtimereg
Page sections 4
Documentation
Heading
Documentation
Links
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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
READMENEWS
Documentation 11
lava.htmllava.pdfEstimating partial correlations with lavasourceR codeThe Art of InfluencesourceR codeNon-linear latent variable models and error-in-variable modelssourceR code
Vignettes 9
Estimating partial correlations with lavasourceR codeThe Art of InfluencesourceR codeNon-linear latent variable models and error-in-variable modelssourceR code
Downloads 9
lava_1.9.1.tar.gzlava_1.9.1.ziplava_1.9.1.ziplava_1.9.1.ziplava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgzlava archive
All page links 78
clifuture.applygraphicsgrDevicesmethodsnumDerivprogressrstatssurvivalSQUAREMutilsKernSmoothRgraphvizdata.tableellipsefieldsfuturegeepackgraphknitrrmarkdownigraphlavaSearch2lme4MASSMatrixmetsnlmeoptimxpolycorquantreg10.32614/CRAN.package.lavahttps://github.com/kkholst/lava/issuesApache License (== 2.0)https://kkholst.github.io/lava/https://github.com/kkholst/lavalava citation infoREADMENEWSPsychometricslava resultslava.htmllava.pdfEstimating partial correlations with lavasourceR codeThe Art of InfluencesourceR codeNon-linear latent variable models and error-in-variable modelssourceR codelava_1.9.1.tar.gzlava_1.9.1.ziplava_1.9.1.ziplava_1.9.1.ziplava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgzlava_1.9.1.tgzlava archivecartsNMMIPWBuyseTestDIRMRFunctanSNPLMMstarLRQVBpecpoissonsuperlearnerpolleprodlimPublishriskRegressionSmoothHazardtargetedtimereghttps://CRAN.R-project.org/package=lava

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.9.02026-04-052026-05-152026-05-31
CRAN1.8.22025-10-302026-05-312026-05-31
CRAN1.8.12025-01-122026-05-312026-05-31
CRAN1.8.02024-03-052026-05-312026-05-31
CRAN1.7.32023-11-042026-05-312026-05-31
CRAN1.7.2.12023-02-272026-05-312026-05-31
CRAN1.7.22023-02-232026-05-312026-05-31
CRAN1.7.12023-01-062026-05-312026-05-31
CRAN1.7.02022-10-252026-05-312026-05-31
CRAN1.6.102021-09-022026-05-312026-05-31
CRAN1.6.92021-03-112026-05-312026-05-31
CRAN1.6.8.12020-11-042026-05-312026-05-31
CRAN1.6.82020-09-262026-05-312026-05-31
CRAN1.6.72020-03-052026-05-312026-05-31
CRAN1.6.62019-08-022026-05-312026-05-31
CRAN1.6.52019-02-122026-05-312026-05-31
CRAN1.6.42018-11-252026-05-312026-05-31
CRAN1.6.32018-08-102026-05-312026-05-31
CRAN1.6.22018-07-022026-05-312026-05-31
CRAN1.6.12018-03-282026-05-312026-05-31
CRAN1.62018-01-132026-05-312026-05-31
CRAN1.5.12017-09-272026-05-312026-05-31
CRAN1.52017-03-162026-05-312026-05-31
CRAN1.4.82017-03-162026-05-312026-05-31
CRAN1.4.72017-01-272026-05-312026-05-31
CRAN1.4.62016-12-202026-05-312026-05-31
CRAN1.4.52016-10-262026-05-312026-05-31
CRAN1.4.42016-08-132026-05-312026-05-31
CRAN1.4.32016-04-112026-05-312026-05-31
CRAN1.4.22016-04-052026-05-312026-05-31
CRAN1.4.12015-06-222026-05-312026-05-31
CRAN1.4.02015-02-172026-05-312026-05-31
CRAN1.32014-11-182026-05-312026-05-31
CRAN1.2.62014-05-072026-05-312026-05-31
CRAN1.2.52014-03-142026-05-312026-05-31
CRAN1.2.42013-12-172026-05-312026-05-31
CRAN1.2.32013-10-282026-05-312026-05-31
CRAN1.2.22013-07-122026-05-312026-05-31
CRAN1.2.12013-05-212026-05-312026-05-31
CRAN1.2.02013-04-242026-05-312026-05-31
CRAN1.1-122012-11-122026-05-312026-05-31
CRAN1.1-112012-11-052026-05-312026-05-31
CRAN1.1-82012-10-162026-05-312026-05-31
CRAN1.1-32012-08-142026-05-312026-05-31
CRAN1.0-92012-07-062026-05-312026-05-31
CRAN1.0-52012-05-142026-05-312026-05-31
CRAN1.9.12026-05-312026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

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CRAN Task Views

Psychometric Models and Methods · 2026-06-04