parsnip

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / parsnip

parsnip

v1.6.0
parsnip
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.parsnip
Reverse imports
1,585
Reverse depends
515

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Reverse imports
1,585
Reverse depends
515

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
S
sparklyr
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.6.0
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
no
Reverse depends
515
Reverse imports
1,585
Last observed
2026-05-30
CRAN
cran.r-project.org/package=parsnip

수집 소스별 패키지 정보

1개 소스
CRAN
1.6.0
2026-05-30
License
MIT + file LICENSE
Depends
R (>= 4.1)
Imports
cli, dplyr (>= 1.1.0), generics (>= 0.1.2), ggplot2, globals, glue, hardhat (>= 1.4.1), lifecycle, magrittr, pillar, prettyunits, purrr (>= 1.0.0), rlang (>= 1.1.0), sparsevctrs (>= 0.2.0), stats, tibble (>= 2.1.1), tidyr (>= 1.3.0), utils, vctrs (>= 0.6.0)
Suggests
bench, C50, covr, dials (>= 1.4.2), earth, ggrepel, keras, keras3, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, methods, mgcv, modeldata, nlme, prodlim, ranger (>= 0.12.0), remotes, rmarkdown, rpart, sparklyr (>= 1.0.0), survival, tensorflow, testthat (>= 3.0.0), withr, xgboost (>= 1.5.0.1)
Needs compilation
no
Reverse depends
515
Reverse imports
1,585
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 48개
PackageTypeSpec
cli
CRAN · 1.6.0 · 2026-05-30
Importscli
dplyr
CRAN · 1.6.0 · 2026-05-30
Importsdplyr (>= 1.1.0)
generics
CRAN · 1.6.0 · 2026-05-30
Importsgenerics (>= 0.1.2)
ggplot2
CRAN · 1.6.0 · 2026-05-30
Importsggplot2
globals
CRAN · 1.6.0 · 2026-05-30
Importsglobals
1 / 10

이 패키지를 쓰는 패키지

5개 표시전체 95개
PackageTypeSpec
additive
1.0.1
CRAN · 2026-05-30
Dependsparsnip (>= 1.2.1)
agua
0.1.4
CRAN · 2026-05-30
Dependsparsnip
baguette
1.1.0
CRAN · 2026-05-30
Dependsparsnip (>= 1.0.0)
bayesian
1.0.1
CRAN · 2026-05-30
Dependsparsnip (>= 1.2.1)
bonsai
0.4.1
CRAN · 2026-05-30
Dependsparsnip (>= 1.4.0)
1 / 19

Reverse dependency summary

4 types
TypePackages
Depends13
Imports40
Suggests41
Enhances1

패키지 페이지

Reverse depends
26
Reverse imports
80
Reverse suggests
80
Reverse enhances
2
All links
159
Repository
CRAN
Version
1.6.0
Collected
2026-05-30 07:10:03
Package page
https://cran.r-project.org/web/packages/parsnip/index.html
DOI
10.32614/CRAN.package.parsnip
CRAN checks
https://cran.r-project.org/web/checks/check_results_parsnip.html
README
https://cran.r-project.org/web/packages/parsnip/readme/README.html
NEWS
https://cran.r-project.org/web/packages/parsnip/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/parsnip/refman/parsnip.html
Reference PDF
https://cran.r-project.org/web/packages/parsnip/parsnip.pdf
Source package
https://cran.r-project.org/src/contrib/parsnip_1.6.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/parsnip
Page fields
Author
Max Kuhn [cre, aut], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
BugReports
https://github.com/tidymodels/parsnip/issues
CRAN Checks
parsnip results
DOI
10.32614/CRAN.package.parsnip
License
MIT + file LICENSE
Maintainer
Max Kuhn <max at posit.co>
Materials
README , NEWS
NeedsCompilation
no
Old Sources
parsnip archive
Package Source
parsnip_1.6.0.tar.gz
Published
2026-05-14
Reference Manual
parsnip.html , parsnip.pdf
Reverse Depends
additive , agua , baguette , bayesian , bonsai , censored , discrim , multilevelmod , ordered , plsmod , poissonreg , rules , tidyAML
Reverse Enhances
vip
Reverse Imports
autostats , bioLeak , card , CimpleG , cuda.ml , easysurv , FastKRR , fastml , finetune , finnts , healthyR.ai , healthyR.ts , imputeGeneric , kerasnip , kindling , ldmppr , LLMAgentR , LorenzRegression , misl , MLDataR , MLwrap , modeltime , offsetreg , postcard , ppsr , sae.projection , SeroTrackR , shinymodels , stacks , tabnet , text , tidyclust , tidydann , tidymodels , tidysdm , tidysynthesis , tune , viralx , workflows , workflowsets
Reverse Suggests
BORG , broom.helpers , bundle , butcher , coefplot , condvis2 , easyalluvial , effectsize , equatiomatic , forestControl , ggeffects , ggmlR , gtsummary , h3sdm , important , infer , insight , MachineShop , marginaleffects , midnight , mmrm , mrIML , omicsTools , OptimalBinningWoE , orbital , parttree , predictset , probably , propensity , pysparklyr , recipes , Rfuzzycoco , shapr , sparklyr , survex , tidyposterior , tidypredict , timetk , TrialEmulation , vetiver
URL
https://github.com/tidymodels/parsnip , https://parsnip.tidymodels.org/
Version
1.6.0
Vignettes
Introduction to parsnip ( source , R code )
Windows Binaries
r-devel: parsnip_1.6.0.zip , r-release: parsnip_1.6.0.zip , r-oldrel: parsnip_1.6.0.zip
MacOS Binaries
r-release (arm64): parsnip_1.6.0.tgz , r-oldrel (arm64): parsnip_1.6.0.tgz , r-release (x86_64): parsnip_1.6.0.tgz , r-oldrel (x86_64): parsnip_1.6.0.tgz
Version
1.6.0
Published
2026-05-14
DOI
10.32614/CRAN.package.parsnip
10.32614/CRAN.package.parsnip
Author
Max Kuhn [cre, aut], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
https://orcid.org/0000-0003-2402-136Xhttps://ror.org/03wc8by49
Maintainer
Max Kuhn <max at posit.co>
BugReports
https://github.com/tidymodels/parsnip/issues
https://github.com/tidymodels/parsnip/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://github.com/tidymodels/parsnip , https://parsnip.tidymodels.org/
https://github.com/tidymodels/parsniphttps://parsnip.tidymodels.org/
NeedsCompilation
no
Materials
README , NEWS
READMENEWS
CRAN Checks
parsnip results
parsnip results
Reference Manual
parsnip.html , parsnip.pdf
parsnip.htmlparsnip.pdf
Vignettes
Introduction to parsnip ( source , R code )
Introduction to parsnipsourceR code
Package Source
parsnip_1.6.0.tar.gz
parsnip_1.6.0.tar.gz
Windows Binaries
r-devel: parsnip_1.6.0.zip , r-release: parsnip_1.6.0.zip , r-oldrel: parsnip_1.6.0.zip
parsnip_1.6.0.zipparsnip_1.6.0.zipparsnip_1.6.0.zip
MacOS Binaries
r-release (arm64): parsnip_1.6.0.tgz , r-oldrel (arm64): parsnip_1.6.0.tgz , r-release (x86_64): parsnip_1.6.0.tgz , r-oldrel (x86_64): parsnip_1.6.0.tgz
parsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgz
Old Sources
parsnip archive
parsnip archive
Reverse Depends
additive , agua , baguette , bayesian , bonsai , censored , discrim , multilevelmod , ordered , plsmod , poissonreg , rules , tidyAML
additiveaguabaguettebayesianbonsaicensoreddiscrimmultilevelmodorderedplsmodpoissonregrulestidyAML
Reverse Imports
autostats , bioLeak , card , CimpleG , cuda.ml , easysurv , FastKRR , fastml , finetune , finnts , healthyR.ai , healthyR.ts , imputeGeneric , kerasnip , kindling , ldmppr , LLMAgentR , LorenzRegression , misl , MLDataR , MLwrap , modeltime , offsetreg , postcard , ppsr , sae.projection , SeroTrackR , shinymodels , stacks , tabnet , text , tidyclust , tidydann , tidymodels , tidysdm , tidysynthesis , tune , viralx , workflows , workflowsets
autostatsbioLeakcardCimpleGcuda.mleasysurvFastKRRfastmlfinetunefinntshealthyR.aihealthyR.tsimputeGenerickerasnipkindlingldmpprLLMAgentRLorenzRegressionmislMLDataR
Reverse Suggests
BORG , broom.helpers , bundle , butcher , coefplot , condvis2 , easyalluvial , effectsize , equatiomatic , forestControl , ggeffects , ggmlR , gtsummary , h3sdm , important , infer , insight , MachineShop , marginaleffects , midnight , mmrm , mrIML , omicsTools , OptimalBinningWoE , orbital , parttree , predictset , probably , propensity , pysparklyr , recipes , Rfuzzycoco , shapr , sparklyr , survex , tidyposterior , tidypredict , timetk , TrialEmulation , vetiver
BORGbroom.helpersbundlebutchercoefplotcondvis2easyalluvialeffectsizeequatiomaticforestControlggeffectsggmlRgtsummaryh3sdmimportantinferinsightMachineShopmarginaleffectsmidnight
Reverse Enhances
vip
vip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"parsnip.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/refman/parsnip.html"},{"label":"parsnip.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/parsnip.pdf"},{"label":"Introduction to parsnip","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/vignettes/parsnip.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/vignettes/parsnip.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/vignettes/parsnip.R"}]
Text
Reference manual: parsnip.html , parsnip.pdf Vignettes: Introduction to parsnip ( source , R code )
Downloads
Heading
Downloads
Links
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Text
Package source: parsnip_1.6.0.tar.gz Windows binaries: r-devel: parsnip_1.6.0.zip , r-release: parsnip_1.6.0.zip , r-oldrel: parsnip_1.6.0.zip macOS binaries: r-release (arm64): parsnip_1.6.0.tgz , r-oldrel (arm64): parsnip_1.6.0.tgz , r-release (x86_64): parsnip_1.6.0.tgz , r-oldrel (x86_64): parsnip_1.6.0.tgz Old sources: parsnip archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"additive","section":"","type":"","url":"https://cran.r-project.org/web/packages/additive/index.html"},{"label":"agua","section":"","type":"","url":"https://cran.r-project.org/web/packages/agua/index.html"},{"label":"baguette","section":"","type":"","url":"https://cran.r-project.org/web/packages/baguette/index.html"},{"label":"bayesian","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesian/index.html"},{"label":"bonsai","section":"","type":"","url":"https://cran.r-project.org/web/packages/bonsai/index.html"},{"label":"censored","section":"","type":"","url":"https://cran.r-project.org/web/packages/censored/index.html"},{"label":"discrim","section":"","type":"","url":"https://cran.r-project.org/web/packages/discrim/index.html"},{"label":"multilevelmod","section":"","type":"","url":"https://cran.r-project.org/web/packages/multilevelmod/index.html"},{"label":"ordered","section":"","type":"","url":"https://cran.r-project.org/web/packages/ordered/index.html"},{"label":"plsmod","section":"","type":"","url":"https://cran.r-project.org/web/packages/plsmod/index.html"},{"label":"poissonreg","section":"","type":"","url":"https://cran.r-project.org/web/packages/poissonreg/index.html"},{"label":"rules","section":"","type":"","url":"https://cran.r-project.org/web/packages/rules/index.html"},{"label":"tidyAML","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyAML/index.html"},{"label":"autostats","section":"","type":"","url":"https://cran.r-project.org/web/packages/autostats/index.html"},{"label":"bioLeak","section":"","type":"","url":"https://cran.r-project.org/web/packages/bioLeak/index.html"},{"label":"card","section":"","type":"","url":"https://cran.r-project.org/web/packages/card/index.html"},{"label":"CimpleG","section":"","type":"","url":"https://cran.r-project.org/web/packages/CimpleG/index.html"},{"label":"cuda.ml","section":"","type":"","url":"https://cran.r-project.org/web/packages/cuda.ml/index.html"},{"label":"easysurv","section":"","type":"","url":"https://cran.r-project.org/web/packages/easysurv/index.html"},{"label":"FastKRR","section":"","type":"","url":"https://cran.r-project.org/web/packages/FastKRR/index.html"}]
Text
Reverse depends: additive , agua , baguette , bayesian , bonsai , censored , discrim , multilevelmod , ordered , plsmod , poissonreg , rules , tidyAML Reverse imports: autostats , bioLeak , card , CimpleG , cuda.ml , easysurv , FastKRR , fastml , finetune , finnts , healthyR.ai , healthyR.ts , imputeGeneric , kerasnip , kindling , ldmppr , LLMAgentR , LorenzRegression , misl , MLDataR , MLwrap , modeltime , offsetreg , postcard , ppsr , sae.projection , SeroTrackR , shinymodels , stacks , tabnet , text , tidyclust , tidydann , tidymodels , tidysdm , tidysynthesis , tune , viralx , workflows , workflowsets Reverse suggests: BORG , broom.helpers , bundle , butcher , coefplot , condvis2 , easyalluvial , effectsize , equatiomatic , forestControl , ggeffects , ggmlR , gtsummary , h3sdm , important , infer , insight , MachineShop , marginaleffects , midnight , mmrm , mrIML , omicsTools , OptimalBinningWoE , orbital , parttree , predictset , probably , propensity , pysparklyr , recipes , Rfuzzycoco , shapr , sparklyr , survex , tidyposterior , tidypredict , timetk , TrialEmulation , vetiver Reverse enhances: vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=parsnip","section":"","type":"","url":"https://CRAN.R-project.org/package=parsnip"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=parsnip to link to this page.
Materials 2
READMENEWS
Documentation 5
parsnip.htmlparsnip.pdfIntroduction to parsnipsourceR code
Vignettes 3
Introduction to parsnipsourceR code
Downloads 9
parsnip_1.6.0.tar.gzparsnip_1.6.0.zipparsnip_1.6.0.zipparsnip_1.6.0.zipparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip archive
All page links 120
clidplyrgenericsggplot2globalsgluehardhatlifecyclemagrittrpillarprettyunitspurrrrlangsparsevctrsstatstibbletidyrutilsvctrsbenchC50covrdialsearthggrepelkeraskeras3kernlabkknnknitrLiblineaRMASSMatrixmethodsmgcvmodeldatanlmeprodlimranger10.32614/CRAN.package.parsniphttps://orcid.org/0000-0003-2402-136Xhttps://ror.org/03wc8by49https://github.com/tidymodels/parsnip/issuesMITLICENSEhttps://github.com/tidymodels/parsniphttps://parsnip.tidymodels.org/READMENEWSparsnip resultsparsnip.htmlparsnip.pdfIntroduction to parsnipsourceR codeparsnip_1.6.0.tar.gzparsnip_1.6.0.zipparsnip_1.6.0.zipparsnip_1.6.0.zipparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip_1.6.0.tgzparsnip archiveadditiveaguabaguettebayesianbonsaicensoreddiscrimmultilevelmodorderedplsmodpoissonregrulestidyAMLautostatsbioLeakcardCimpleGcuda.mleasysurvFastKRRfastmlfinetunefinntshealthyR.aihealthyR.tsimputeGenerickerasnipkindlingldmpprLLMAgentRLorenzRegressionmislMLDataRBORGbroom.helpersbundlebutchercoefplotcondvis2easyalluvialeffectsizeequatiomaticforestControlggeffectsggmlRgtsummaryh3sdmimportantinferinsightMachineShopmarginaleffectsmidnightvipMLwrapmodeltime

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.6.02026-05-292026-05-30
CRAN1.5.02026-05-142026-05-14

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.