tidylearn

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / tidylearn

tidylearn

v0.5.0
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.tidylearn

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

4
B
bigrquery
Suggests
D
DBI
Suggests
R
RPostgres
Suggests
R
RSQLite
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.5.0
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
no
Last observed
2026-09-04
CRAN
cran.r-project.org/package=tidylearn

수집 소스별 패키지 정보

1개 소스
CRAN
0.5.0
2026-09-04
License
MIT + file LICENSE
Depends
R (>= 3.6.0)
Imports
dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), purrr (>= 0.3.0), rlang (>= 0.4.0), magrittr, parallel, stats, e1071, gbm, glmnet, nnet, randomForest, rpart, rsample, ROCR, yardstick, cluster (>= 2.1.0), dbscan (>= 1.1.0), MASS, smacof (>= 2.1.0)
Suggests
arules, arulesViz, bigrquery, car, DBI, DiagrammeR, DT, GGally, ggforce, gridExtra, gt, httr2 (>= 1.0.0), jsonlite, keras, knitr, lmtest, moments, nanoparquet, NeuralNetTools, paws.storage, readr, RhpcBLASctl, readxl, RMariaDB, rmarkdown, RPostgres, rpart.plot, RSQLite, shiny, shinydashboard, tensorflow, testthat (>= 3.1.7), withr, xgboost
Needs compilation
no
Lifecycle
active
Last observed
2026-09-04 03:54:24

이 패키지가 의존하는 패키지

5개 표시전체 64개
PackageTypeSpec
cluster
CRAN · 0.5.0 · 2026-09-19
Importscluster (>= 2.1.0)
dbscan
CRAN · 0.5.0 · 2026-09-19
Importsdbscan (>= 1.1.0)
dplyr
CRAN · 0.5.0 · 2026-09-19
Importsdplyr (>= 1.0.0)
e1071
CRAN · 0.5.0 · 2026-09-19
Importse1071
gbm
CRAN · 0.5.0 · 2026-09-19
Importsgbm
1 / 13

이 패키지를 쓰는 패키지

0개 표시전체 0개
PackageTypeSpec
표시할 dependency edge가 없습니다.
1 / 1

패키지 페이지

All links
82
Repository
CRAN
Version
0.3.0
Collected
2026-05-19 17:14:36
Package page
https://cran.r-project.org/web/packages/tidylearn/index.html
DOI
10.32614/CRAN.package.tidylearn
Citation
https://cran.r-project.org/web/packages/tidylearn/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_tidylearn.html
README
https://cran.r-project.org/web/packages/tidylearn/readme/README.html
NEWS
https://cran.r-project.org/web/packages/tidylearn/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/tidylearn/refman/tidylearn.html
Reference PDF
https://cran.r-project.org/web/packages/tidylearn/tidylearn.pdf
Source package
https://cran.r-project.org/src/contrib/tidylearn_0.3.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/tidylearn
Page fields
Author
Cesaire Tobias [aut, cre]
BugReports
https://github.com/ces0491/tidylearn/issues
CRAN Checks
tidylearn results
Citation
tidylearn citation info
DOI
10.32614/CRAN.package.tidylearn
License
MIT + file LICENSE
Maintainer
Cesaire Tobias <cesaire at sheetsolved.com>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
tidylearn archive
Package Source
tidylearn_0.3.0.tar.gz
Published
2026-04-09
Reference Manual
tidylearn.html , tidylearn.pdf
URL
https://github.com/ces0491/tidylearn
Version
0.3.0
Vignettes
Automated Machine Learning with tidylearn ( source , R code ) Data Ingestion with tidylearn ( source , R code ) Getting Started with tidylearn ( source , R code ) Integration Workflows: Combining Supervised and Unsupervised Learning ( source , R code ) Reporting with tidylearn ( source , R code ) Supervised Learning with tidylearn ( source , R code ) Unsupervised Learning with tidylearn ( source , R code )
Windows Binaries
r-devel: tidylearn_0.3.0.zip , r-release: tidylearn_0.3.0.zip , r-oldrel: tidylearn_0.3.0.zip
MacOS Binaries
r-release (arm64): tidylearn_0.3.0.tgz , r-oldrel (arm64): tidylearn_0.3.0.tgz , r-release (x86_64): tidylearn_0.3.0.tgz , r-oldrel (x86_64): tidylearn_0.3.0.tgz
Version
0.3.0
Published
2026-04-09
DOI
10.32614/CRAN.package.tidylearn
10.32614/CRAN.package.tidylearn
Author
Cesaire Tobias [aut, cre]
Maintainer
Cesaire Tobias <cesaire at sheetsolved.com>
BugReports
https://github.com/ces0491/tidylearn/issues
https://github.com/ces0491/tidylearn/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://github.com/ces0491/tidylearn
https://github.com/ces0491/tidylearn
NeedsCompilation
no
Citation
tidylearn citation info
tidylearn citation info
Materials
README , NEWS
READMENEWS
CRAN Checks
tidylearn results
tidylearn results
Reference Manual
tidylearn.html , tidylearn.pdf
tidylearn.htmltidylearn.pdf
Vignettes
Automated Machine Learning with tidylearn ( source , R code ) Data Ingestion with tidylearn ( source , R code ) Getting Started with tidylearn ( source , R code ) Integration Workflows: Combining Supervised and Unsupervised Learning ( source , R code ) Reporting with tidylearn ( source , R code ) Supervised Learning with tidylearn ( source , R code ) Unsupervised Learning with tidylearn ( source , R code )
Automated Machine Learning with tidylearnsourceR codeData Ingestion with tidylearnsourceR codeGetting Started with tidylearnsourceR codeIntegration Workflows: Combining Supervised and Unsupervised LearningsourceR codeReporting with tidylearnsourceR codeSupervised Learning with tidylearnsourceR codeUnsupervised Learning with tidylearnsource
Package Source
tidylearn_0.3.0.tar.gz
tidylearn_0.3.0.tar.gz
Windows Binaries
r-devel: tidylearn_0.3.0.zip , r-release: tidylearn_0.3.0.zip , r-oldrel: tidylearn_0.3.0.zip
tidylearn_0.3.0.ziptidylearn_0.3.0.ziptidylearn_0.3.0.zip
MacOS Binaries
r-release (arm64): tidylearn_0.3.0.tgz , r-oldrel (arm64): tidylearn_0.3.0.tgz , r-release (x86_64): tidylearn_0.3.0.tgz , r-oldrel (x86_64): tidylearn_0.3.0.tgz
tidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgz
Old Sources
tidylearn archive
tidylearn archive
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"tidylearn.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/refman/tidylearn.html"},{"label":"tidylearn.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/tidylearn.pdf"},{"label":"Automated Machine Learning with tidylearn","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/automl.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/automl.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/automl.R"},{"label":"Data Ingestion with tidylearn","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/data-ingestion.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/data-ingestion.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/data-ingestion.R"},{"label":"Getting Started with tidylearn","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/getting-started.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/getting-started.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/getting-started.R"},{"label":"Integration Workflows: Combining Supervised and Unsupervised Learning","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/integration-workflows.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/integration-workflows.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/integration-workflows.R"},{"label":"Reporting with tidylearn","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/reporting.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/reporting.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/reporting.R"},{"label":"Supervised Learning with tidylearn","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/supervised-learning.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/supervised-learning.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidylearn/vignettes/supervised-learning.R"}]
Text
Reference manual: tidylearn.html , tidylearn.pdf Vignettes: Automated Machine Learning with tidylearn ( source , R code ) Data Ingestion with tidylearn ( source , R code ) Getting Started with tidylearn ( source , R code ) Integration Workflows: Combining Supervised and Unsupervised Learning ( source , R code ) Reporting with tidylearn ( source , R code ) Supervised Learning with tidylearn ( source , R code ) Unsupervised Learning with tidylearn ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"tidylearn_0.3.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/tidylearn_0.3.0.tar.gz"},{"label":"tidylearn_0.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/tidylearn_0.3.0.zip"},{"label":"tidylearn_0.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/tidylearn_0.3.0.zip"},{"label":"tidylearn_0.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/tidylearn_0.3.0.zip"},{"label":"tidylearn_0.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/tidylearn_0.3.0.tgz"},{"label":"tidylearn_0.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/tidylearn_0.3.0.tgz"},{"label":"tidylearn_0.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/tidylearn_0.3.0.tgz"},{"label":"tidylearn_0.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/tidylearn_0.3.0.tgz"},{"label":"tidylearn archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/tidylearn"}]
Text
Package source: tidylearn_0.3.0.tar.gz Windows binaries: r-devel: tidylearn_0.3.0.zip , r-release: tidylearn_0.3.0.zip , r-oldrel: tidylearn_0.3.0.zip macOS binaries: r-release (arm64): tidylearn_0.3.0.tgz , r-oldrel (arm64): tidylearn_0.3.0.tgz , r-release (x86_64): tidylearn_0.3.0.tgz , r-oldrel (x86_64): tidylearn_0.3.0.tgz Old sources: tidylearn archive
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=tidylearn","section":"","type":"","url":"https://CRAN.R-project.org/package=tidylearn"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=tidylearn to link to this page.
Materials 2
READMENEWS
Documentation 23
tidylearn.htmltidylearn.pdfAutomated Machine Learning with tidylearnsourceR codeData Ingestion with tidylearnsourceR codeGetting Started with tidylearnsourceR codeIntegration Workflows: Combining Supervised and Unsupervised LearningsourceR codeReporting with tidylearnsourceR codeSupervised Learning with tidylearnsourceR codeUnsupervised Learning with tidylearnsourceR code
Vignettes 21
Automated Machine Learning with tidylearnsourceR codeData Ingestion with tidylearnsourceR codeGetting Started with tidylearnsourceR codeIntegration Workflows: Combining Supervised and Unsupervised LearningsourceR codeReporting with tidylearnsourceR codeSupervised Learning with tidylearnsourceR codeUnsupervised Learning with tidylearnsourceR code
Downloads 9
tidylearn_0.3.0.tar.gztidylearn_0.3.0.ziptidylearn_0.3.0.ziptidylearn_0.3.0.ziptidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn archive
All page links 82
dplyrggplot2tibbletidyrpurrrrlangmagrittrstatse1071gbmglmnetnnetrandomForestrpartrsampleROCRyardstickclusterdbscanMASSarulesarulesVizbigrquerycarcaretDBIDTGGallyggforcegridExtragtjsonlitekerasknitrlmtestmclustmomentsnanoparquetNeuralNetToolsonnx10.32614/CRAN.package.tidylearnhttps://github.com/ces0491/tidylearn/issuesMITLICENSEhttps://github.com/ces0491/tidylearntidylearn citation infoREADMENEWStidylearn resultstidylearn.htmltidylearn.pdfAutomated Machine Learning with tidylearnsourceR codeData Ingestion with tidylearnsourceR codeGetting Started with tidylearnsourceR codeIntegration Workflows: Combining Supervised and Unsupervised LearningsourceR codeReporting with tidylearnsourceR codeSupervised Learning with tidylearnsourceR codeUnsupervised Learning with tidylearnsourcetidylearn_0.3.0.tar.gztidylearn_0.3.0.ziptidylearn_0.3.0.ziptidylearn_0.3.0.ziptidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn_0.3.0.tgztidylearn archiveR codehttps://CRAN.R-project.org/package=tidylearn

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.3.02026-04-092026-05-192026-05-31
CRAN0.2.02026-03-162026-05-312026-05-31
CRAN0.1.12026-03-132026-05-312026-05-31
CRAN0.1.02026-02-062026-05-312026-05-31
CRAN0.5.02026-09-042026-09-04
CRAN0.4.02026-08-052026-08-05
CRAN0.3.12026-06-302026-07-10

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.