vimp

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / vimp

vimp

v2.3.6

vimp

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.vimp

Reverse imports

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Reverse imports

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

data.table

Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

2.3.6

License

MIT + file LICENSE

Lifecycle

active

Needs compilation

Reverse imports

Last observed

2026-05-30

CRAN: cran.r-project.org/package=vimp

수집 소스별 패키지 정보

1개 소스

CRAN

2.3.6

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 3.1.0)

Imports

SuperLearner, stats, dplyr, magrittr, ROCR, tibble, rlang, MASS, data.table, boot

Suggests

knitr, rmarkdown, gam, xgboost, glmnet, ranger, polspline, quadprog, covr, testthat, ggplot2, cowplot, cvAUC, tidyselect, WeightedROC, purrr

Needs compilation

Reverse imports

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 26개

Package	Type	Spec
boot CRAN · 2.3.6 · 2026-05-30	Imports	boot
data.table CRAN · 2.3.6 · 2026-05-30	Imports	data.table
dplyr CRAN · 2.3.6 · 2026-05-30	Imports	dplyr
magrittr CRAN · 2.3.6 · 2026-05-30	Imports	magrittr
MASS CRAN · 2.3.6 · 2026-05-30	Imports	MASS
rlang CRAN · 2.3.6 · 2026-05-30	Imports	rlang
ROCR CRAN · 2.3.6 · 2026-05-30	Imports	ROCR
stats CRAN · 2.3.6 · 2026-05-30	Imports	stats
SuperLearner CRAN · 2.3.6 · 2026-05-30	Imports	SuperLearner
tibble CRAN · 2.3.6 · 2026-05-30	Imports	tibble
covr CRAN · 2.3.6 · 2026-05-30	Suggests	covr
cowplot CRAN · 2.3.6 · 2026-05-30	Suggests	cowplot
cvAUC CRAN · 2.3.6 · 2026-05-30	Suggests	cvAUC
gam CRAN · 2.3.6 · 2026-05-30	Suggests	gam
ggplot2 CRAN · 2.3.6 · 2026-05-30	Suggests	ggplot2
glmnet CRAN · 2.3.6 · 2026-05-30	Suggests	glmnet
knitr CRAN · 2.3.6 · 2026-05-30	Suggests	knitr
polspline CRAN · 2.3.6 · 2026-05-30	Suggests	polspline
purrr CRAN · 2.3.6 · 2026-05-30	Suggests	purrr
quadprog CRAN · 2.3.6 · 2026-05-30	Suggests	quadprog
ranger CRAN · 2.3.6 · 2026-05-30	Suggests	ranger
rmarkdown CRAN · 2.3.6 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 2.3.6 · 2026-05-30	Suggests	testthat
tidyselect CRAN · 2.3.6 · 2026-05-30	Suggests	tidyselect
WeightedROC CRAN · 2.3.6 · 2026-05-30	Suggests	WeightedROC
xgboost CRAN · 2.3.6 · 2026-05-30	Suggests	xgboost
검색 결과가 없습니다.

1 / 6

이 패키지를 쓰는 패키지

3개 표시전체 3개

Package	Type	Spec
lvimp 1.0.0 CRAN · 2026-05-30	Imports	vimp
flevr 0.0.5 CRAN · 2026-05-30	Suggests	vimp
tidyhte 1.0.4 CRAN · 2026-05-30	Suggests	vimp
검색 결과가 없습니다.

1 / 1

Reverse dependency summary

2 types

Type	Packages
Imports	1
Suggests	2

패키지 페이지

Reverse imports

Reverse suggests

All links

Repository: CRAN
Version: 2.3.6
Collected: 2026-05-20 11:43:26
Package page: https://cran.r-project.org/web/packages/vimp/index.html
DOI: 10.32614/CRAN.package.vimp
CRAN checks: https://cran.r-project.org/web/checks/check_results_vimp.html
NEWS: https://cran.r-project.org/web/packages/vimp/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/vimp/refman/vimp.html
Reference PDF: https://cran.r-project.org/web/packages/vimp/vimp.pdf
Source package: https://cran.r-project.org/src/contrib/vimp_2.3.6.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/vimp

Page fields

Author: Brian D. Williamson [aut, cre], Jean Feng [ctb], Charlie Wolock [ctb], Noah Simon [ths], Marco Carone [ths]
BugReports: https://github.com/bdwilliamson/vimp/issues
CRAN Checks: vimp results
DOI: 10.32614/CRAN.package.vimp
License: MIT + file LICENSE
Maintainer: Brian D. Williamson <brian.d.williamson at kp.org>
Materials: NEWS
NeedsCompilation: no
Old Sources: vimp archive
Package Source: vimp_2.3.6.tar.gz
Published: 2025-08-28
Reference Manual: vimp.html , vimp.pdf
Reverse Imports: lvimp
Reverse Suggests: flevr , tidyhte
URL: https://bdwilliamson.github.io/vimp/ , https://github.com/bdwilliamson/vimp , http://bdwilliamson.github.io/vimp/
Version: 2.3.6
Vignettes: Introduction to 'vimp' ( source , R code ) Variable importance with coarsened data ( source , R code ) Using precomputed regression function estimates in 'vimp' ( source , R code ) Types of VIMs ( source , R code )
Windows Binaries: r-devel: vimp_2.3.6.zip , r-release: vimp_2.3.6.zip , r-oldrel: vimp_2.3.6.zip
MacOS Binaries: r-release (arm64): vimp_2.3.6.tgz , r-oldrel (arm64): vimp_2.3.6.tgz , r-release (x86_64): vimp_2.3.6.tgz , r-oldrel (x86_64): vimp_2.3.6.tgz

Version

2.3.6

Published

2025-08-28

DOI

10.32614/CRAN.package.vimp

Author

Brian D. Williamson [aut, cre], Jean Feng [ctb], Charlie Wolock [ctb], Noah Simon [ths], Marco Carone [ths]

https://orcid.org/0000-0002-7024-548X https://orcid.org/0000-0002-8985-2474 https://orcid.org/0000-0003-2106-0953

Maintainer

Brian D. Williamson <brian.d.williamson at kp.org>

BugReports

https://github.com/bdwilliamson/vimp/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://bdwilliamson.github.io/vimp/ , https://github.com/bdwilliamson/vimp , http://bdwilliamson.github.io/vimp/

https://bdwilliamson.github.io/vimp/https://github.com/bdwilliamson/vimp http://bdwilliamson.github.io/vimp/

NeedsCompilation

Materials

NEWS

CRAN Checks

vimp results

Reference Manual

vimp.html , vimp.pdf

vimp.html vimp.pdf

Vignettes

Introduction to 'vimp' ( source , R code ) Variable importance with coarsened data ( source , R code ) Using precomputed regression function estimates in 'vimp' ( source , R code ) Types of VIMs ( source , R code )

Introduction to 'vimp'source R code Variable importance with coarsened data source R code Using precomputed regression function estimates in 'vimp'source R code Types of VIMs source R code

Package Source

vimp_2.3.6.tar.gz

Windows Binaries

r-devel: vimp_2.3.6.zip , r-release: vimp_2.3.6.zip , r-oldrel: vimp_2.3.6.zip

vimp_2.3.6.zip vimp_2.3.6.zip vimp_2.3.6.zip

MacOS Binaries

r-release (arm64): vimp_2.3.6.tgz , r-oldrel (arm64): vimp_2.3.6.tgz , r-release (x86_64): vimp_2.3.6.tgz , r-oldrel (x86_64): vimp_2.3.6.tgz

vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz

Old Sources

vimp archive

Reverse Imports

lvimp

Reverse Suggests

flevr , tidyhte

flevr tidyhte

Page sections 4

Documentation

Heading

Documentation

Links

[{"label":"vimp.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/refman/vimp.html"},{"label":"vimp.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vimp.pdf"},{"label":"Introduction to 'vimp'","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/introduction-to-vimp.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/introduction-to-vimp.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/introduction-to-vimp.R"},{"label":"Variable importance with coarsened data","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/ipcw-vim.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/ipcw-vim.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/ipcw-vim.R"},{"label":"Using precomputed regression function estimates in 'vimp'","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/precomputed-regressions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/precomputed-regressions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/precomputed-regressions.R"},{"label":"Types of VIMs","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/types-of-vims.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/types-of-vims.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/vimp/vignettes/types-of-vims.R"}]

Text

Reference manual: vimp.html , vimp.pdf Vignettes: Introduction to 'vimp' ( source , R code ) Variable importance with coarsened data ( source , R code ) Using precomputed regression function estimates in 'vimp' ( source , R code ) Types of VIMs ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"vimp_2.3.6.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/vimp_2.3.6.tar.gz"},{"label":"vimp_2.3.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/vimp_2.3.6.zip"},{"label":"vimp_2.3.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/vimp_2.3.6.zip"},{"label":"vimp_2.3.6.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/vimp_2.3.6.zip"},{"label":"vimp_2.3.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/vimp_2.3.6.tgz"},{"label":"vimp_2.3.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/vimp_2.3.6.tgz"},{"label":"vimp_2.3.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/vimp_2.3.6.tgz"},{"label":"vimp_2.3.6.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/vimp_2.3.6.tgz"},{"label":"vimp archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/vimp"}]

Text

Package source: vimp_2.3.6.tar.gz Windows binaries: r-devel: vimp_2.3.6.zip , r-release: vimp_2.3.6.zip , r-oldrel: vimp_2.3.6.zip macOS binaries: r-release (arm64): vimp_2.3.6.tgz , r-oldrel (arm64): vimp_2.3.6.tgz , r-release (x86_64): vimp_2.3.6.tgz , r-oldrel (x86_64): vimp_2.3.6.tgz Old sources: vimp archive

Reverse dependencies

Heading

Reverse dependencies

Links

[{"label":"lvimp","section":"","type":"","url":"https://cran.r-project.org/web/packages/lvimp/index.html"},{"label":"flevr","section":"","type":"","url":"https://cran.r-project.org/web/packages/flevr/index.html"},{"label":"tidyhte","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyhte/index.html"}]

Text

Reverse imports: lvimp Reverse suggests: flevr , tidyhte

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=vimp","section":"","type":"","url":"https://CRAN.R-project.org/package=vimp"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=vimp to link to this page.

Materials 1

NEWS

Documentation 14

vimp.html vimp.pdf Introduction to 'vimp'source R code Variable importance with coarsened data source R code Using precomputed regression function estimates in 'vimp'source R code Types of VIMs source R code

Vignettes 12

Introduction to 'vimp'source R code Variable importance with coarsened data source R code Using precomputed regression function estimates in 'vimp'source R code Types of VIMs source R code

Downloads 9

vimp_2.3.6.tar.gz vimp_2.3.6.zip vimp_2.3.6.zip vimp_2.3.6.zip vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz vimp archive

All page links 65

SuperLearner stats dplyr magrittr ROCR tibble rlang MASS data.table boot knitr rmarkdown gam xgboost glmnet ranger polspline quadprog covr testthat ggplot2 cowplot cvAUC tidyselect WeightedROC purrr 10.32614/CRAN.package.vimp https://orcid.org/0000-0002-7024-548X https://orcid.org/0000-0002-8985-2474 https://orcid.org/0000-0003-2106-0953 https://github.com/bdwilliamson/vimp/issues MIT LICENSE https://bdwilliamson.github.io/vimp/https://github.com/bdwilliamson/vimp http://bdwilliamson.github.io/vimp/NEWS vimp results vimp.html vimp.pdf Introduction to 'vimp'source R code Variable importance with coarsened data source R code Using precomputed regression function estimates in 'vimp'source R code Types of VIMs source R code vimp_2.3.6.tar.gz vimp_2.3.6.zip vimp_2.3.6.zip vimp_2.3.6.zip vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz vimp_2.3.6.tgz vimp archive lvimp flevr tidyhte https://CRAN.R-project.org/package=vimp

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	2.3.6		2026-05-28	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.