tidypredict

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / tidypredict

tidypredict

v1.1.0
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.tidypredict
Task views
Model Deployment with R
Reverse imports
80

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Model Deployment with R
Reverse imports
80

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

3
D
DBI
Suggests
D
dbplyr
Suggests
R
RSQLite
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.1.0
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
no
Reverse imports
80
Last observed
2026-05-30
CRAN
cran.r-project.org/package=tidypredict

수집 소스별 패키지 정보

1개 소스
CRAN
1.1.0
2026-05-30
License
MIT + file LICENSE
Depends
R (>= 3.6)
Imports
cli, dplyr (>= 0.7), generics, jsonlite, knitr, purrr, rlang (>= 1.1.1), tibble, tidyr
Suggests
bonsai, covr, Cubist (>= 0.5.1), DBI, dbplyr, earth (>= 5.1.2), glmnet, lightgbm, methods, mlbench, modeldata, nycflights13, parsnip, partykit, randomForest, ranger (>= 0.14.1), rpart (>= 4.1.0), rmarkdown, RSQLite, survival, testthat (>= 3.2.0), withr, xgboost, yaml
Needs compilation
no
Reverse imports
80
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 33개
PackageTypeSpec
cli
CRAN · 1.1.0 · 2026-05-30
Importscli
dplyr
CRAN · 1.1.0 · 2026-05-30
Importsdplyr (>= 0.7)
generics
CRAN · 1.1.0 · 2026-05-30
Importsgenerics
jsonlite
CRAN · 1.1.0 · 2026-05-30
Importsjsonlite
knitr
CRAN · 1.1.0 · 2026-05-30
Importsknitr
1 / 7

이 패키지를 쓰는 패키지

3개 표시전체 3개
PackageTypeSpec
dbglm
1.0.0
CRAN · 2026-05-30
Importstidypredict
modeldb
0.3.1
CRAN · 2026-05-30
Importstidypredict
orbital
0.5.1
CRAN · 2026-05-30
Suggeststidypredict (>= 1.1.0)
1 / 1

Reverse dependency summary

2 types
TypePackages
Imports2
Suggests1

패키지 페이지

Reverse imports
4
Reverse suggests
2
All links
107
Repository
CRAN
Version
1.1.0
Collected
2026-05-19 17:14:39
Package page
https://cran.r-project.org/web/packages/tidypredict/index.html
DOI
10.32614/CRAN.package.tidypredict
CRAN checks
https://cran.r-project.org/web/checks/check_results_tidypredict.html
README
https://cran.r-project.org/web/packages/tidypredict/readme/README.html
NEWS
https://cran.r-project.org/web/packages/tidypredict/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/tidypredict/refman/tidypredict.html
Reference PDF
https://cran.r-project.org/web/packages/tidypredict/tidypredict.pdf
Source package
https://cran.r-project.org/src/contrib/tidypredict_1.1.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/tidypredict
In views
ModelDeployment
Page fields
Author
Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
BugReports
https://github.com/tidymodels/tidypredict/issues
CRAN Checks
tidypredict results
DOI
10.32614/CRAN.package.tidypredict
In Views
ModelDeployment
License
MIT + file LICENSE
Maintainer
Emil Hvitfeldt <emil.hvitfeldt at posit.co>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
tidypredict archive
Package Source
tidypredict_1.1.0.tar.gz
Published
2026-02-27
Reference Manual
tidypredict.html , tidypredict.pdf
Reverse Imports
dbglm , modeldb
Reverse Suggests
orbital
URL
https://tidypredict.tidymodels.org , https://github.com/tidymodels/tidypredict
Version
1.1.0
Vignettes
CatBoost models ( source , R code ) Cubist models ( source , R code ) Float precision at split boundaries ( source ) Generalized Linear Regression ( source , R code ) glmnet models ( source , R code ) LightGBM models ( source , R code ) Linear Regression ( source , R code ) MARS models via the 'earth' package ( source , R code ) Non-R Models ( source , R code ) Random Forest, using Ranger ( source , R code ) Create a regression spec - version 2 ( source , R code ) Random Forest ( source , R code ) Decision trees, using rpart ( source , R code ) Save and re-load models ( source , R code ) Database write-back ( source , R code ) How tidypredict generates tree formulas ( source , R code ) Create a tree spec - version 2 ( source , R code ) XGBoost models ( source , R code )
Windows Binaries
r-devel: tidypredict_1.1.0.zip , r-release: tidypredict_1.1.0.zip , r-oldrel: tidypredict_1.1.0.zip
MacOS Binaries
r-release (arm64): tidypredict_1.1.0.tgz , r-oldrel (arm64): tidypredict_1.1.0.tgz , r-release (x86_64): tidypredict_1.1.0.tgz , r-oldrel (x86_64): tidypredict_1.1.0.tgz
Version
1.1.0
Published
2026-02-27
DOI
10.32614/CRAN.package.tidypredict
10.32614/CRAN.package.tidypredict
Author
Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer
Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports
https://github.com/tidymodels/tidypredict/issues
https://github.com/tidymodels/tidypredict/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://tidypredict.tidymodels.org , https://github.com/tidymodels/tidypredict
https://tidypredict.tidymodels.orghttps://github.com/tidymodels/tidypredict
NeedsCompilation
no
Materials
README , NEWS
READMENEWS
In Views
ModelDeployment
ModelDeployment
CRAN Checks
tidypredict results
tidypredict results
Reference Manual
tidypredict.html , tidypredict.pdf
tidypredict.htmltidypredict.pdf
Vignettes
CatBoost models ( source , R code ) Cubist models ( source , R code ) Float precision at split boundaries ( source ) Generalized Linear Regression ( source , R code ) glmnet models ( source , R code ) LightGBM models ( source , R code ) Linear Regression ( source , R code ) MARS models via the 'earth' package ( source , R code ) Non-R Models ( source , R code ) Random Forest, using Ranger ( source , R code ) Create a regression spec - version 2 ( source , R code ) Random Forest ( source , R code ) Decision trees, using rpart ( source , R code ) Save and re-load models ( source , R code ) Database write-back ( source , R code ) How tidypredict generates tree formulas ( source , R code ) Create a tree spec - version 2 ( source , R code ) XGBoost models ( source , R code )
CatBoost modelssourceR codeCubist modelssourceR codeFloat precision at split boundariessourceGeneralized Linear RegressionsourceR codeglmnet modelssourceR codeLightGBM modelssourceR codeLinear RegressionsourceR code
Package Source
tidypredict_1.1.0.tar.gz
tidypredict_1.1.0.tar.gz
Windows Binaries
r-devel: tidypredict_1.1.0.zip , r-release: tidypredict_1.1.0.zip , r-oldrel: tidypredict_1.1.0.zip
tidypredict_1.1.0.ziptidypredict_1.1.0.ziptidypredict_1.1.0.zip
MacOS Binaries
r-release (arm64): tidypredict_1.1.0.tgz , r-oldrel (arm64): tidypredict_1.1.0.tgz , r-release (x86_64): tidypredict_1.1.0.tgz , r-oldrel (x86_64): tidypredict_1.1.0.tgz
tidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgz
Old Sources
tidypredict archive
tidypredict archive
Reverse Imports
dbglm , modeldb
dbglmmodeldb
Reverse Suggests
orbital
orbital
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"tidypredict.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/refman/tidypredict.html"},{"label":"tidypredict.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/tidypredict.pdf"},{"label":"CatBoost models","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/catboost.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/catboost.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/catboost.R"},{"label":"Cubist models","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/cubist.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/cubist.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/cubist.R"},{"label":"Float precision at split boundaries","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/float-precision.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/float-precision.Rmd"},{"label":"Generalized Linear Regression","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glm.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glm.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glm.R"},{"label":"glmnet models","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glmnet.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glmnet.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/glmnet.R"},{"label":"LightGBM models","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/lightgbm.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/lightgbm.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/lightgbm.R"},{"label":"Linear Regression","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidypredict/vignettes/lm.html"}]
Text
Reference manual: tidypredict.html , tidypredict.pdf Vignettes: CatBoost models ( source , R code ) Cubist models ( source , R code ) Float precision at split boundaries ( source ) Generalized Linear Regression ( source , R code ) glmnet models ( source , R code ) LightGBM models ( source , R code ) Linear Regression ( source , R code ) MARS models via the 'earth' package ( source , R code ) Non-R Models ( source , R code ) Random Forest, using Ranger ( source , R code ) Create a regression spec - version 2 ( source , R code ) Random Forest ( source , R code ) Decision trees, using rpart ( source , R code ) Save and re-load models ( source , R code ) Database write-back ( source , R code ) How tidypredict generates tree formulas ( source , R code ) Create a tree spec - version 2 ( source , R code ) XGBoost models ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"tidypredict_1.1.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/tidypredict_1.1.0.tar.gz"},{"label":"tidypredict_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/tidypredict_1.1.0.zip"},{"label":"tidypredict_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/tidypredict_1.1.0.zip"},{"label":"tidypredict_1.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/tidypredict_1.1.0.zip"},{"label":"tidypredict_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/tidypredict_1.1.0.tgz"},{"label":"tidypredict_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/tidypredict_1.1.0.tgz"},{"label":"tidypredict_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/tidypredict_1.1.0.tgz"},{"label":"tidypredict_1.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/tidypredict_1.1.0.tgz"},{"label":"tidypredict archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/tidypredict"}]
Text
Package source: tidypredict_1.1.0.tar.gz Windows binaries: r-devel: tidypredict_1.1.0.zip , r-release: tidypredict_1.1.0.zip , r-oldrel: tidypredict_1.1.0.zip macOS binaries: r-release (arm64): tidypredict_1.1.0.tgz , r-oldrel (arm64): tidypredict_1.1.0.tgz , r-release (x86_64): tidypredict_1.1.0.tgz , r-oldrel (x86_64): tidypredict_1.1.0.tgz Old sources: tidypredict archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"dbglm","section":"","type":"","url":"https://cran.r-project.org/web/packages/dbglm/index.html"},{"label":"modeldb","section":"","type":"","url":"https://cran.r-project.org/web/packages/modeldb/index.html"},{"label":"orbital","section":"","type":"","url":"https://cran.r-project.org/web/packages/orbital/index.html"}]
Text
Reverse imports: dbglm , modeldb Reverse suggests: orbital
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=tidypredict","section":"","type":"","url":"https://CRAN.R-project.org/package=tidypredict"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=tidypredict to link to this page.
Materials 2
READMENEWS
Documentation 55
tidypredict.htmltidypredict.pdfCatBoost modelssourceR codeCubist modelssourceR codeFloat precision at split boundariessourceGeneralized Linear RegressionsourceR codeglmnet modelssourceR codeLightGBM modelssourceR codeLinear RegressionsourceR codeMARS models via the 'earth' packagesourceR codeNon-R ModelssourceR codeRandom Forest, using RangersourceR codeCreate a regression spec - version 2sourceR codeRandom ForestsourceR codeDecision trees, using rpartsourceR codeSave and re-load modelssourceR codeDatabase write-backsourceR codeHow tidypredict generates tree formulassourceR codeCreate a tree spec - version 2sourceR codeXGBoost modelssourceR code
Vignettes 53
CatBoost modelssourceR codeCubist modelssourceR codeFloat precision at split boundariessourceGeneralized Linear RegressionsourceR codeglmnet modelssourceR codeLightGBM modelssourceR codeLinear RegressionsourceR codeMARS models via the 'earth' packagesourceR codeNon-R ModelssourceR codeRandom Forest, using RangersourceR codeCreate a regression spec - version 2sourceR codeRandom ForestsourceR codeDecision trees, using rpartsourceR codeSave and re-load modelssourceR codeDatabase write-backsourceR codeHow tidypredict generates tree formulassourceR codeCreate a tree spec - version 2sourceR codeXGBoost modelssourceR code
Downloads 9
tidypredict_1.1.0.tar.gztidypredict_1.1.0.ziptidypredict_1.1.0.ziptidypredict_1.1.0.ziptidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict archive
All page links 107
clidplyrgenericsjsonliteknitrpurrrrlangtibbletidyrbonsaicovrCubistDBIdbplyrearthglmnetlightgbmmethodsmlbenchmodeldatanycflights13parsnippartykitrandomForestrangerrpartrmarkdownRSQLitesurvival10.32614/CRAN.package.tidypredicthttps://github.com/tidymodels/tidypredict/issuesMITLICENSEhttps://tidypredict.tidymodels.orghttps://github.com/tidymodels/tidypredictREADMENEWSModelDeploymenttidypredict resultstidypredict.htmltidypredict.pdfCatBoost modelssourceR codeCubist modelssourceR codeFloat precision at split boundariessourceGeneralized Linear RegressionsourceR codeglmnet modelssourceR codeLightGBM modelssourceR codeLinear RegressionsourceR codetidypredict_1.1.0.tar.gztidypredict_1.1.0.ziptidypredict_1.1.0.ziptidypredict_1.1.0.ziptidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict_1.1.0.tgztidypredict archivedbglmmodeldborbitalMARS models via the 'earth' packagesourceR codeNon-R ModelssourceR codeRandom Forest, using RangersourceR codeCreate a regression spec - version 2sourceR codeRandom ForestsourceR codeDecision trees, using rpartsourceR codeSave and re-load modelssourceR codeDatabase write-backsourceR codeHow tidypredict generates tree formulassourceR codeCreate a tree spec - version 2sourceR codeXGBoost modelssourceR codehttps://CRAN.R-project.org/package=tidypredict

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.1.02026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Model Deployment with R · 2026-05-30