datacutr

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / datacutr

datacutr

v0.2.4

datacutr

Repository CRANLicense Apache License (>= 2)Lifecycle activeNeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.datacutr

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.2.4

License

Apache License (>= 2)

Lifecycle

active

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

0.2.4

2026-05-30

License

Apache License (>= 2)

Depends

R (>= 4.1)

Imports

admiraldev (>= 0.3.0), assertthat (>= 0.2.1), dplyr (>= 1.0.5), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), stringr (>= 1.4.0), rlang (>= 0.4.4), tibble (>= 3.0.0), reactable (>= 0.4.4)

Suggests

devtools, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, usethis, covr, DT, cyclocomp

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 22개

Package	Type	Spec
admiraldev CRAN · 0.2.4 · 2026-05-30	Imports	admiraldev (>= 0.3.0)
assertthat CRAN · 0.2.4 · 2026-05-30	Imports	assertthat (>= 0.2.1)
dplyr CRAN · 0.2.4 · 2026-05-30	Imports	dplyr (>= 1.0.5)
lubridate CRAN · 0.2.4 · 2026-05-30	Imports	lubridate (>= 1.7.4)
magrittr CRAN · 0.2.4 · 2026-05-30	Imports	magrittr (>= 1.5)
purrr CRAN · 0.2.4 · 2026-05-30	Imports	purrr (>= 0.3.3)
reactable CRAN · 0.2.4 · 2026-05-30	Imports	reactable (>= 0.4.4)
rlang CRAN · 0.2.4 · 2026-05-30	Imports	rlang (>= 0.4.4)
stringr CRAN · 0.2.4 · 2026-05-30	Imports	stringr (>= 1.4.0)
tibble CRAN · 0.2.4 · 2026-05-30	Imports	tibble (>= 3.0.0)
covr CRAN · 0.2.4 · 2026-05-30	Suggests	covr
cyclocomp CRAN · 0.2.4 · 2026-05-30	Suggests	cyclocomp
devtools CRAN · 0.2.4 · 2026-05-30	Suggests	devtools
DT CRAN · 0.2.4 · 2026-05-30	Suggests	DT
knitr CRAN · 0.2.4 · 2026-05-30	Suggests	knitr
methods CRAN · 0.2.4 · 2026-05-30	Suggests	methods
pkgdown CRAN · 0.2.4 · 2026-05-30	Suggests	pkgdown
rmarkdown CRAN · 0.2.4 · 2026-05-30	Suggests	rmarkdown
roxygen2 CRAN · 0.2.4 · 2026-05-30	Suggests	roxygen2
spelling CRAN · 0.2.4 · 2026-05-30	Suggests	spelling
testthat CRAN · 0.2.4 · 2026-05-30	Suggests	testthat
usethis CRAN · 0.2.4 · 2026-05-30	Suggests	usethis
검색 결과가 없습니다.

1 / 5

이 패키지를 쓰는 패키지

0개 표시전체 0개

Package	Type	Spec
표시할 dependency edge가 없습니다.
검색 결과가 없습니다.

1 / 1

패키지 페이지

All links

Repository: CRAN
Version: 0.2.4
Collected: 2026-05-22 23:44:13
Package page: https://cran.r-project.org/web/packages/datacutr/index.html
DOI: 10.32614/CRAN.package.datacutr
CRAN checks: https://cran.r-project.org/web/checks/check_results_datacutr.html
README: https://cran.r-project.org/web/packages/datacutr/readme/README.html
NEWS: https://cran.r-project.org/web/packages/datacutr/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/datacutr/refman/datacutr.html
Reference PDF: https://cran.r-project.org/web/packages/datacutr/datacutr.pdf
Source package: https://cran.r-project.org/src/contrib/datacutr_0.2.4.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/datacutr

Page fields

Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
BugReports: https://github.com/pharmaverse/datacutr/issues
CRAN Checks: datacutr results
DOI: 10.32614/CRAN.package.datacutr
Language: en-US
License: Apache License (≥ 2)
Maintainer: Tim Barnett <timothy.barnett at roche.com>
Materials: README , NEWS
NeedsCompilation: no
Old Sources: datacutr archive
Package Source: datacutr_0.2.4.tar.gz
Published: 2025-11-14
Reference Manual: datacutr.html , datacutr.pdf
URL: https://pharmaverse.github.io/datacutr/ , https://github.com/pharmaverse/datacutr
Version: 0.2.4
Vignettes: Contribution to {datacutr} ( source , R code ) Get Started ( source , R code ) Example Modular Approach ( source , R code ) Example Wrapped Approach ( source , R code ) Modular Approach ( source , R code ) Applying a Variable Date Cut ( source , R code ) Wrapped Approach ( source , R code )
Windows Binaries: r-devel: datacutr_0.2.4.zip , r-release: datacutr_0.2.4.zip , r-oldrel: datacutr_0.2.4.zip
MacOS Binaries: r-release (arm64): datacutr_0.2.4.tgz , r-oldrel (arm64): datacutr_0.2.4.tgz , r-release (x86_64): datacutr_0.2.4.tgz , r-oldrel (x86_64): datacutr_0.2.4.tgz

Version

0.2.4

Published

2025-11-14

DOI

10.32614/CRAN.package.datacutr

Author

Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]

Maintainer

Tim Barnett <timothy.barnett at roche.com>

BugReports

https://github.com/pharmaverse/datacutr/issues

License

Apache License (≥ 2)

URL

https://pharmaverse.github.io/datacutr/ , https://github.com/pharmaverse/datacutr

https://pharmaverse.github.io/datacutr/https://github.com/pharmaverse/datacutr

NeedsCompilation

Language

en-US

Materials

README , NEWS

README NEWS

CRAN Checks

datacutr results

Reference Manual

datacutr.html , datacutr.pdf

datacutr.html datacutr.pdf

Vignettes

Contribution to {datacutr} ( source , R code ) Get Started ( source , R code ) Example Modular Approach ( source , R code ) Example Wrapped Approach ( source , R code ) Modular Approach ( source , R code ) Applying a Variable Date Cut ( source , R code ) Wrapped Approach ( source , R code )

Package Source

datacutr_0.2.4.tar.gz

Windows Binaries

r-devel: datacutr_0.2.4.zip , r-release: datacutr_0.2.4.zip , r-oldrel: datacutr_0.2.4.zip

datacutr_0.2.4.zip datacutr_0.2.4.zip datacutr_0.2.4.zip

MacOS Binaries

r-release (arm64): datacutr_0.2.4.tgz , r-oldrel (arm64): datacutr_0.2.4.tgz , r-release (x86_64): datacutr_0.2.4.tgz , r-oldrel (x86_64): datacutr_0.2.4.tgz

datacutr_0.2.4.tgz datacutr_0.2.4.tgz datacutr_0.2.4.tgz datacutr_0.2.4.tgz

Old Sources

datacutr archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"datacutr.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/refman/datacutr.html"},{"label":"datacutr.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/datacutr.pdf"},{"label":"Contribution to {datacutr}","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/contribution_model.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/contribution_model.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/contribution_model.R"},{"label":"Get Started","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/datacutr.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/datacutr.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/datacutr.R"},{"label":"Example Modular Approach","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplemodular.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplemodular.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplemodular.R"},{"label":"Example Wrapped Approach","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplewrapped.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplewrapped.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/examplewrapped.R"},{"label":"Modular Approach","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/modular.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/modular.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/modular.R"},{"label":"Applying a Variable Date Cut","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/variable_cut.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/variable_cut.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/datacutr/vignettes/variable_cut.R"}]

Text

Reference manual: datacutr.html , datacutr.pdf Vignettes: Contribution to {datacutr} ( source , R code ) Get Started ( source , R code ) Example Modular Approach ( source , R code ) Example Wrapped Approach ( source , R code ) Modular Approach ( source , R code ) Applying a Variable Date Cut ( source , R code ) Wrapped Approach ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"datacutr_0.2.4.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/datacutr_0.2.4.tar.gz"},{"label":"datacutr_0.2.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/datacutr_0.2.4.zip"},{"label":"datacutr_0.2.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/datacutr_0.2.4.zip"},{"label":"datacutr_0.2.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/datacutr_0.2.4.zip"},{"label":"datacutr_0.2.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/datacutr_0.2.4.tgz"},{"label":"datacutr_0.2.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/datacutr_0.2.4.tgz"},{"label":"datacutr_0.2.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/datacutr_0.2.4.tgz"},{"label":"datacutr_0.2.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/datacutr_0.2.4.tgz"},{"label":"datacutr archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/datacutr"}]

Text

Package source: datacutr_0.2.4.tar.gz Windows binaries: r-devel: datacutr_0.2.4.zip , r-release: datacutr_0.2.4.zip , r-oldrel: datacutr_0.2.4.zip macOS binaries: r-release (arm64): datacutr_0.2.4.tgz , r-oldrel (arm64): datacutr_0.2.4.tgz , r-release (x86_64): datacutr_0.2.4.tgz , r-oldrel (x86_64): datacutr_0.2.4.tgz Old sources: datacutr archive

Linking

Heading

Linking

Links

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

Text

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

Materials 2

README NEWS

Documentation 23

Vignettes 21

Downloads 9

datacutr_0.2.4.tar.gz datacutr_0.2.4.zip datacutr_0.2.4.zip datacutr_0.2.4.zip datacutr_0.2.4.tgz datacutr_0.2.4.tgz datacutr_0.2.4.tgz datacutr_0.2.4.tgz datacutr archive

All page links 63

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.2.4		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.