shapr

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / shapr

shapr

v1.0.8
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.shapr
Task views
Machine Learning & Statistical Learning
Reverse imports
45

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Machine Learning & Statistical Learning
Reverse imports
45

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.0.8
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
yes
Reverse imports
45
Last observed
2026-06-04
CRAN
cran.r-project.org/package=shapr

Build fields

LinkingTo
2
RcppArmadilloRcpp

수집 소스별 패키지 정보

1개 소스
CRAN
1.0.8
2026-06-04
License
MIT + file LICENSE
Depends
R (>= 3.5.0)
Imports
stats, data.table (>= 1.15.0), Rcpp (>= 0.12.15), Matrix, future.apply, methods, cli, rlang
Suggests
ranger, xgboost, mgcv, testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo, progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally, coro, parsnip, recipes, workflows, tune, dials, yardstick, hardhat, rsample
LinkingTo
RcppArmadillo, Rcpp
Needs compilation
yes
Reverse imports
45
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 38개
PackageTypeSpec
cli
CRAN · 1.0.8 · 2026-06-04
Importscli
data.table
CRAN · 1.0.8 · 2026-06-04
Importsdata.table (>= 1.15.0)
future.apply
CRAN · 1.0.8 · 2026-06-04
Importsfuture.apply
Matrix
CRAN · 1.0.8 · 2026-06-04
ImportsMatrix
methods
CRAN · 1.0.8 · 2026-06-04
Importsmethods
1 / 8

이 패키지를 쓰는 패키지

3개 표시전체 3개
PackageTypeSpec
MLwrap
0.4.0
CRAN · 2026-06-04
Importsshapr
futurize
0.3.0
CRAN · 2026-06-04
Suggestsshapr
rtemis
1.0.0
CRAN · 2026-06-04
Suggestsshapr
1 / 1

Reverse dependency summary

2 types
TypePackages
Imports1
Suggests2

패키지 페이지

Reverse imports
2
Reverse suggests
6
All links
68
Repository
CRAN
Version
1.0.8
Collected
2026-06-02 17:59:52
Package page
https://cran.r-project.org/web/packages/shapr/index.html
DOI
10.32614/CRAN.package.shapr
Citation
https://cran.r-project.org/web/packages/shapr/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_shapr.html
README
https://cran.r-project.org/web/packages/shapr/readme/README.html
NEWS
https://cran.r-project.org/web/packages/shapr/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/shapr/refman/shapr.html
Reference PDF
https://cran.r-project.org/web/packages/shapr/shapr.pdf
Source package
https://cran.r-project.org/src/contrib/shapr_1.0.8.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/shapr
In views
MachineLearning
Page fields
Author
Martin Jullum [cre, aut], Lars Henry Berge Olsen [aut], Annabelle Redelmeier [aut], Jon Lachmann [aut], Nikolai Sellereite [aut], Anders Løland [ctb], Jens Christian Wahl [ctb], Camilla Lingjærde [ctb], Norsk Regnesentral [cph, fnd]
BugReports
https://github.com/NorskRegnesentral/shapr/issues
CRAN Checks
shapr results
Citation
shapr citation info
DOI
10.32614/CRAN.package.shapr
In Views
MachineLearning
Language
en-US
License
MIT + file LICENSE
LinkingTo
RcppArmadillo , Rcpp
Maintainer
Martin Jullum <Martin.Jullum at nr.no>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
shapr archive
Package Source
shapr_1.0.8.tar.gz
Published
2026-01-20
Reference Manual
shapr.html , shapr.pdf
Reverse Imports
MLwrap
Reverse Suggests
futurize , rtemis , XAItest
URL
https://norskregnesentral.github.io/shapr/ , https://github.com/NorskRegnesentral/shapr/
Version
1.0.8
Vignettes
Asymmetric and causal Shapley value explanations ( source ) 'shapr': Explaining individual machine learning predictions with Shapley values ( source ) Shapley value explanations using the regression paradigm ( source ) More details and advanced usage of the 'vaeac' approach ( source )
Windows Binaries
r-devel: shapr_1.0.8.zip , r-release: shapr_1.0.8.zip , r-oldrel: shapr_1.0.8.zip
MacOS Binaries
r-release (arm64): shapr_1.0.8.tgz , r-oldrel (arm64): shapr_1.0.8.tgz , r-release (x86_64): shapr_1.0.8.tgz , r-oldrel (x86_64): shapr_1.0.8.tgz
Version
1.0.8
LinkingTo
RcppArmadillo , Rcpp
RcppArmadilloRcpp
Published
2026-01-20
DOI
10.32614/CRAN.package.shapr
10.32614/CRAN.package.shapr
Author
Martin Jullum [cre, aut], Lars Henry Berge Olsen [aut], Annabelle Redelmeier [aut], Jon Lachmann [aut], Nikolai Sellereite [aut], Anders Løland [ctb], Jens Christian Wahl [ctb], Camilla Lingjærde [ctb], Norsk Regnesentral [cph, fnd]
https://orcid.org/0000-0003-3908-5155https://orcid.org/0009-0006-9360-6993https://orcid.org/0000-0001-8396-5673https://orcid.org/0000-0002-4671-0337
Maintainer
Martin Jullum <Martin.Jullum at nr.no>
BugReports
https://github.com/NorskRegnesentral/shapr/issues
https://github.com/NorskRegnesentral/shapr/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://norskregnesentral.github.io/shapr/ , https://github.com/NorskRegnesentral/shapr/
https://norskregnesentral.github.io/shapr/https://github.com/NorskRegnesentral/shapr/
NeedsCompilation
yes
Language
en-US
Citation
shapr citation info
shapr citation info
Materials
README , NEWS
READMENEWS
In Views
MachineLearning
MachineLearning
CRAN Checks
shapr results
shapr results
Reference Manual
shapr.html , shapr.pdf
shapr.htmlshapr.pdf
Vignettes
Asymmetric and causal Shapley value explanations ( source ) 'shapr': Explaining individual machine learning predictions with Shapley values ( source ) Shapley value explanations using the regression paradigm ( source ) More details and advanced usage of the 'vaeac' approach ( source )
Asymmetric and causal Shapley value explanationssource'shapr': Explaining individual machine learning predictions with Shapley valuessourceShapley value explanations using the regression paradigmsourceMore details and advanced usage of the 'vaeac' approachsource
Package Source
shapr_1.0.8.tar.gz
shapr_1.0.8.tar.gz
Windows Binaries
r-devel: shapr_1.0.8.zip , r-release: shapr_1.0.8.zip , r-oldrel: shapr_1.0.8.zip
shapr_1.0.8.zipshapr_1.0.8.zipshapr_1.0.8.zip
MacOS Binaries
r-release (arm64): shapr_1.0.8.tgz , r-oldrel (arm64): shapr_1.0.8.tgz , r-release (x86_64): shapr_1.0.8.tgz , r-oldrel (x86_64): shapr_1.0.8.tgz
shapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgz
Old Sources
shapr archive
shapr archive
Reverse Imports
MLwrap
MLwrap
Reverse Suggests
futurize , rtemis , XAItest
futurizertemisXAItest
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"shapr.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/refman/shapr.html"},{"label":"shapr.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/shapr.pdf"},{"label":"Asymmetric and causal Shapley value explanations","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/asymmetric_causal.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/asymmetric_causal.Rmd"},{"label":"'shapr': Explaining individual machine learning predictions with Shapley values","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/general_usage.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/general_usage.Rmd"},{"label":"Shapley value explanations using the regression paradigm","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/regression.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/regression.Rmd"},{"label":"More details and advanced usage of the 'vaeac' approach","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/vaeac.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapr/vignettes/vaeac.Rmd"}]
Text
Reference manual: shapr.html , shapr.pdf Vignettes: Asymmetric and causal Shapley value explanations ( source ) 'shapr': Explaining individual machine learning predictions with Shapley values ( source ) Shapley value explanations using the regression paradigm ( source ) More details and advanced usage of the 'vaeac' approach ( source )
Downloads
Heading
Downloads
Links
[{"label":"shapr_1.0.8.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/shapr_1.0.8.tar.gz"},{"label":"shapr_1.0.8.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/shapr_1.0.8.zip"},{"label":"shapr_1.0.8.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/shapr_1.0.8.zip"},{"label":"shapr_1.0.8.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/shapr_1.0.8.zip"},{"label":"shapr_1.0.8.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/shapr_1.0.8.tgz"},{"label":"shapr_1.0.8.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/shapr_1.0.8.tgz"},{"label":"shapr_1.0.8.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/shapr_1.0.8.tgz"},{"label":"shapr_1.0.8.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/shapr_1.0.8.tgz"},{"label":"shapr archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/shapr"}]
Text
Package source: shapr_1.0.8.tar.gz Windows binaries: r-devel: shapr_1.0.8.zip , r-release: shapr_1.0.8.zip , r-oldrel: shapr_1.0.8.zip macOS binaries: r-release (arm64): shapr_1.0.8.tgz , r-oldrel (arm64): shapr_1.0.8.tgz , r-release (x86_64): shapr_1.0.8.tgz , r-oldrel (x86_64): shapr_1.0.8.tgz Old sources: shapr archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"MLwrap","section":"","type":"","url":"https://cran.r-project.org/web/packages/MLwrap/index.html"},{"label":"futurize","section":"","type":"","url":"https://cran.r-project.org/web/packages/futurize/index.html"},{"label":"rtemis","section":"","type":"","url":"https://cran.r-project.org/web/packages/rtemis/index.html"},{"label":"XAItest","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/XAItest.html"}]
Text
Reverse imports: MLwrap Reverse suggests: futurize , rtemis , XAItest
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=shapr","section":"","type":"","url":"https://CRAN.R-project.org/package=shapr"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=shapr to link to this page.
Materials 2
READMENEWS
Documentation 10
shapr.htmlshapr.pdfAsymmetric and causal Shapley value explanationssource'shapr': Explaining individual machine learning predictions with Shapley valuessourceShapley value explanations using the regression paradigmsourceMore details and advanced usage of the 'vaeac' approachsource
Vignettes 8
Asymmetric and causal Shapley value explanationssource'shapr': Explaining individual machine learning predictions with Shapley valuessourceShapley value explanations using the regression paradigmsourceMore details and advanced usage of the 'vaeac' approachsource
Downloads 9
shapr_1.0.8.tar.gzshapr_1.0.8.zipshapr_1.0.8.zipshapr_1.0.8.zipshapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgzshapr archive
All page links 68
statsdata.tableRcppMatrixfuture.applymethodsclirlangRcppArmadillorangerxgboostmgcvtestthatknitrrmarkdownroxygen2ggplot2gbmpartypartykitwaldoprogressrfutureggbeeswarmvdiffrforecasttorchGGallycoro10.32614/CRAN.package.shaprhttps://orcid.org/0000-0003-3908-5155https://orcid.org/0009-0006-9360-6993https://orcid.org/0000-0001-8396-5673https://orcid.org/0000-0002-4671-0337https://github.com/NorskRegnesentral/shapr/issuesMITLICENSEhttps://norskregnesentral.github.io/shapr/https://github.com/NorskRegnesentral/shapr/shapr citation infoREADMENEWSMachineLearningshapr resultsshapr.htmlshapr.pdfAsymmetric and causal Shapley value explanationssource'shapr': Explaining individual machine learning predictions with Shapley valuessourceShapley value explanations using the regression paradigmsourceMore details and advanced usage of the 'vaeac' approachsourceshapr_1.0.8.tar.gzshapr_1.0.8.zipshapr_1.0.8.zipshapr_1.0.8.zipshapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgzshapr_1.0.8.tgzshapr archiveMLwrapfuturizertemisXAItesthttps://CRAN.R-project.org/package=shapr

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.0.72025-12-222026-05-312026-05-31
CRAN1.0.62025-11-172026-05-312026-05-31
CRAN1.0.52025-08-252026-05-312026-05-31
CRAN1.0.42025-04-282026-05-312026-05-31
CRAN1.0.32025-04-012026-05-312026-05-31
CRAN1.0.22025-02-072026-05-312026-05-31
CRAN1.0.12025-01-162026-05-312026-05-31
CRAN0.2.22023-05-042026-05-312026-05-31
CRAN0.2.12023-02-272026-05-312026-05-31
CRAN0.2.02021-01-282026-05-312026-05-31
CRAN0.1.42021-01-212026-05-312026-05-31
CRAN0.1.32020-09-042026-05-312026-05-31
CRAN0.1.22020-09-032026-05-312026-05-31
CRAN1.0.82026-06-012026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Machine Learning & Statistical Learning · 2026-06-04