mlr3learners

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / mlr3learners

mlr3learners

v0.14.0
Repository CRANLicense LGPL-3Lifecycle activeNeeds compilation yes
DOI
10.32614/CRAN.package.mlr3learners
Reverse imports
524
Reverse depends
104

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Reverse imports
524
Reverse depends
104

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.14.0
License
LGPL-3
Lifecycle
active
Needs compilation
yes
Reverse depends
104
Reverse imports
524
Last observed
2026-06-04
CRAN
cran.r-project.org/package=mlr3learners

수집 소스별 패키지 정보

1개 소스
CRAN
0.14.0
2026-06-04
License
LGPL-3
Depends
mlr3 (>= 1.2.0), R (>= 3.3.0)
Imports
checkmate, data.table, methods, mlr3misc (>= 0.9.4), paradox (>= 1.0.0), R6
Suggests
DiceKriging, e1071, future, glmnet, kknn, knitr, lgr, MASS, mirai, nnet, pracma, ranger, rgenoud, rmarkdown, testthat (>= 3.0.0), xgboost (>= 3.1.2.1)
Needs compilation
yes
Reverse depends
104
Reverse imports
524
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 23개
PackageTypeSpec
mlr3
CRAN · 0.14.0 · 2026-06-04
Dependsmlr3 (>= 1.2.0)
checkmate
CRAN · 0.14.0 · 2026-06-04
Importscheckmate
data.table
CRAN · 0.14.0 · 2026-06-04
Importsdata.table
methods
CRAN · 0.14.0 · 2026-06-04
Importsmethods
mlr3misc
CRAN · 0.14.0 · 2026-06-04
Importsmlr3misc (>= 0.9.4)
1 / 5

이 패키지를 쓰는 패키지

5개 표시전체 38개
PackageTypeSpec
GenericML
0.2.2
CRAN · 2026-06-04
Dependsmlr3learners
mlr3superlearner
0.1.2
CRAN · 2026-06-04
Dependsmlr3learners
DoubleML
1.0.2
CRAN · 2026-06-04
Importsmlr3learners (>= 0.3.0)
FoRecoML
1.0.0
CRAN · 2026-06-04
Importsmlr3learners
highMLR
0.1.1
CRAN · 2026-05-23
Importsmlr3learners
1 / 8

Reverse dependency summary

3 types
TypePackages
Depends2
Imports11
Suggests25

패키지 페이지

Reverse depends
4
Reverse imports
22
Reverse suggests
50
All links
86
Repository
CRAN
Version
0.14.0
Collected
2026-05-28 17:27:48
Package page
https://cran.r-project.org/web/packages/mlr3learners/index.html
DOI
10.32614/CRAN.package.mlr3learners
CRAN checks
https://cran.r-project.org/web/checks/check_results_mlr3learners.html
README
https://cran.r-project.org/web/packages/mlr3learners/readme/README.html
NEWS
https://cran.r-project.org/web/packages/mlr3learners/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/mlr3learners/refman/mlr3learners.html
Reference PDF
https://cran.r-project.org/web/packages/mlr3learners/mlr3learners.pdf
Source package
https://cran.r-project.org/src/contrib/mlr3learners_0.14.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/mlr3learners
Page fields
Author
Michel Lang [aut], Quay Au [aut], Stefan Coors [aut], Patrick Schratz [aut], Marc Becker [cre, aut], John Zobolas [aut]
BugReports
https://github.com/mlr-org/mlr3learners/issues
CRAN Checks
mlr3learners results [issues need fixing before 2026-06-10]
DOI
10.32614/CRAN.package.mlr3learners
License
LGPL-3
Maintainer
Marc Becker <marcbecker at posteo.de>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
mlr3learners archive
Package Source
mlr3learners_0.14.0.tar.gz
Published
2025-12-13
Reference Manual
mlr3learners.html , mlr3learners.pdf
Reverse Depends
GenericML , mlr3superlearner
Reverse Imports
DoubleML , FoRecoML , interflex , mlr3fairness , mlr3shiny , mlr3verse , sense , SIAMCAT , spFSR , VIM , xtdml
Reverse Suggests
counterfactuals , cpi , explainer , MantaID , mcboost , miesmuschel , mlr3benchmark , mlr3filters , mlr3fselect , mlr3hyperband , mlr3mbo , mlr3pipelines , mlr3resampling , mlr3spatial , mlr3summary , mlr3tuning , mlr3tuningspaces , mlr3viz , mlrintermbo , paradox , PartialTL , survivalsurrogate , vetiver , vivid , xplainfi
URL
https://mlr3learners.mlr-org.com , https://github.com/mlr-org/mlr3learners
Version
0.14.0
Windows Binaries
r-devel: mlr3learners_0.14.0.zip , r-release: mlr3learners_0.14.0.zip , r-oldrel: mlr3learners_0.14.0.zip
MacOS Binaries
r-release (arm64): mlr3learners_0.14.0.tgz , r-oldrel (arm64): mlr3learners_0.14.0.tgz , r-release (x86_64): mlr3learners_0.14.0.tgz , r-oldrel (x86_64): mlr3learners_0.14.0.tgz
Version
0.14.0
Published
2025-12-13
DOI
10.32614/CRAN.package.mlr3learners
Maintainer
Marc Becker <marcbecker at posteo.de>
BugReports
https://github.com/mlr-org/mlr3learners/issues
License
LGPL-3
URL
https://mlr3learners.mlr-org.com , https://github.com/mlr-org/mlr3learners
NeedsCompilation
yes
Materials
README , NEWS
CRAN Checks
mlr3learners results [issues need fixing before 2026-06-10]
Reference Manual
mlr3learners.html , mlr3learners.pdf
Package Source
mlr3learners_0.14.0.tar.gz
Windows Binaries
r-devel: mlr3learners_0.14.0.zip , r-release: mlr3learners_0.14.0.zip , r-oldrel: mlr3learners_0.14.0.zip
MacOS Binaries
r-release (arm64): mlr3learners_0.14.0.tgz , r-oldrel (arm64): mlr3learners_0.14.0.tgz , r-release (x86_64): mlr3learners_0.14.0.tgz , r-oldrel (x86_64): mlr3learners_0.14.0.tgz
Old Sources
mlr3learners archive
Reverse Depends
GenericML , mlr3superlearner
Reverse Imports
DoubleML , FoRecoML , interflex , mlr3fairness , mlr3shiny , mlr3verse , sense , SIAMCAT , spFSR , VIM , xtdml
Reverse Suggests
counterfactuals , cpi , explainer , MantaID , mcboost , miesmuschel , mlr3benchmark , mlr3filters , mlr3fselect , mlr3hyperband , mlr3mbo , mlr3pipelines , mlr3resampling , mlr3spatial , mlr3summary , mlr3tuning , mlr3tuningspaces , mlr3viz , mlrintermbo , paradox , PartialTL , survivalsurrogate , vetiver , vivid , xplainfi
Page sections 4
Documentation
Heading
Documentation
Links
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Text
Reference manual: mlr3learners.html , mlr3learners.pdf
Downloads
Heading
Downloads
Links
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Text
Package source: mlr3learners_0.14.0.tar.gz Windows binaries: r-devel: mlr3learners_0.14.0.zip , r-release: mlr3learners_0.14.0.zip , r-oldrel: mlr3learners_0.14.0.zip macOS binaries: r-release (arm64): mlr3learners_0.14.0.tgz , r-oldrel (arm64): mlr3learners_0.14.0.tgz , r-release (x86_64): mlr3learners_0.14.0.tgz , r-oldrel (x86_64): mlr3learners_0.14.0.tgz Old sources: mlr3learners archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"GenericML","section":"","type":"","url":"https://cran.r-project.org/web/packages/GenericML/index.html"},{"label":"mlr3superlearner","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr3superlearner/index.html"},{"label":"DoubleML","section":"","type":"","url":"https://cran.r-project.org/web/packages/DoubleML/index.html"},{"label":"FoRecoML","section":"","type":"","url":"https://cran.r-project.org/web/packages/FoRecoML/index.html"},{"label":"interflex","section":"","type":"","url":"https://cran.r-project.org/web/packages/interflex/index.html"},{"label":"mlr3fairness","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr3fairness/index.html"},{"label":"mlr3shiny","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr3shiny/index.html"},{"label":"mlr3verse","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr3verse/index.html"},{"label":"sense","section":"","type":"","url":"https://cran.r-project.org/web/packages/sense/index.html"},{"label":"SIAMCAT","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/SIAMCAT.html"},{"label":"spFSR","section":"","type":"","url":"https://cran.r-project.org/web/packages/spFSR/index.html"},{"label":"VIM","section":"","type":"","url":"https://cran.r-project.org/web/packages/VIM/index.html"},{"label":"xtdml","section":"","type":"","url":"https://cran.r-project.org/web/packages/xtdml/index.html"},{"label":"counterfactuals","section":"","type":"","url":"https://cran.r-project.org/web/packages/counterfactuals/index.html"},{"label":"cpi","section":"","type":"","url":"https://cran.r-project.org/web/packages/cpi/index.html"},{"label":"explainer","section":"","type":"","url":"https://cran.r-project.org/web/packages/explainer/index.html"},{"label":"MantaID","section":"","type":"","url":"https://cran.r-project.org/web/packages/MantaID/index.html"},{"label":"mcboost","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcboost/index.html"},{"label":"miesmuschel","section":"","type":"","url":"https://cran.r-project.org/web/packages/miesmuschel/index.html"},{"label":"mlr3benchmark","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr3benchmark/index.html"}]
Text
Reverse depends: GenericML , mlr3superlearner Reverse imports: DoubleML , FoRecoML , interflex , mlr3fairness , mlr3shiny , mlr3verse , sense , SIAMCAT , spFSR , VIM , xtdml Reverse suggests: counterfactuals , cpi , explainer , MantaID , mcboost , miesmuschel , mlr3benchmark , mlr3filters , mlr3fselect , mlr3hyperband , mlr3mbo , mlr3pipelines , mlr3resampling , mlr3spatial , mlr3summary , mlr3tuning , mlr3tuningspaces , mlr3viz , mlrintermbo , paradox , PartialTL , survivalsurrogate , vetiver , vivid , xplainfi
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=mlr3learners","section":"","type":"","url":"https://CRAN.R-project.org/package=mlr3learners"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=mlr3learners to link to this page.
Materials 2
Documentation 2
Downloads 9
All page links 86

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.13.02025-10-022026-05-312026-05-31
CRAN0.12.02025-05-232026-05-312026-05-31
CRAN0.11.02025-05-172026-05-312026-05-31
CRAN0.10.02025-03-192026-05-312026-05-31
CRAN0.9.02024-11-232026-05-312026-05-31
CRAN0.8.02024-10-252026-05-312026-05-31
CRAN0.7.02024-06-282026-05-312026-05-31
CRAN0.6.02024-03-132026-05-312026-05-31
CRAN0.5.82023-12-212026-05-312026-05-31
CRAN0.5.72023-11-212026-05-312026-05-31
CRAN0.5.62023-01-062026-05-312026-05-31
CRAN0.5.52022-11-072026-05-312026-05-31
CRAN0.5.42022-08-152026-05-312026-05-31
CRAN0.5.32022-05-252026-05-312026-05-31
CRAN0.5.22022-01-232026-05-312026-05-31
CRAN0.5.12021-11-192026-05-312026-05-31
CRAN0.5.02021-08-172026-05-312026-05-31
CRAN0.4.52021-03-182026-05-312026-05-31
CRAN0.4.42021-03-152026-05-312026-05-31
CRAN0.4.32020-12-082026-05-312026-05-31
CRAN0.4.22020-11-112026-05-312026-05-31
CRAN0.4.12020-10-072026-05-312026-05-31
CRAN0.4.02020-09-252026-05-312026-05-31
CRAN0.3.02020-08-292026-05-312026-05-31
CRAN0.2.02020-04-222026-05-312026-05-31
CRAN0.1.62020-02-102026-05-312026-05-31
CRAN0.1.52019-11-252026-05-312026-05-31
CRAN0.1.42019-10-292026-05-312026-05-31
CRAN0.1.32019-09-172026-05-312026-05-31
CRAN0.1.22019-08-262026-05-312026-05-31
CRAN0.1.12019-08-052026-05-312026-05-31
CRAN0.14.02026-05-312026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.