shapr

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / shapr

shapr

v1.0.8

shapr

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation yes

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.shapr

Task views

Machine Learning & Statistical Learning

Reverse imports

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Machine Learning & Statistical Learning

Reverse imports

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

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

Last observed

2026-05-30

CRAN: cran.r-project.org/package=shapr

Build fields

LinkingTo

RcppArmadilloRcpp

수집 소스별 패키지 정보

1개 소스

CRAN

1.0.8

2026-05-30

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

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 38개

Package	Type	Spec
cli CRAN · 1.0.8 · 2026-05-30	Imports	cli
data.table CRAN · 1.0.8 · 2026-05-30	Imports	data.table (>= 1.15.0)
future.apply CRAN · 1.0.8 · 2026-05-30	Imports	future.apply
Matrix CRAN · 1.0.8 · 2026-05-30	Imports	Matrix
methods CRAN · 1.0.8 · 2026-05-30	Imports	methods
Rcpp CRAN · 1.0.8 · 2026-05-30	Imports	Rcpp (>= 0.12.15)
rlang CRAN · 1.0.8 · 2026-05-30	Imports	rlang
stats CRAN · 1.0.8 · 2026-05-30	Imports	stats
Rcpp CRAN · 1.0.8 · 2026-05-30	LinkingTo	Rcpp
RcppArmadillo CRAN · 1.0.8 · 2026-05-30	LinkingTo	RcppArmadillo
coro CRAN · 1.0.8 · 2026-05-30	Suggests	coro
dials CRAN · 1.0.8 · 2026-05-30	Suggests	dials
forecast CRAN · 1.0.8 · 2026-05-30	Suggests	forecast
future CRAN · 1.0.8 · 2026-05-30	Suggests	future
gbm CRAN · 1.0.8 · 2026-05-30	Suggests	gbm
GGally CRAN · 1.0.8 · 2026-05-30	Suggests	GGally
ggbeeswarm CRAN · 1.0.8 · 2026-05-30	Suggests	ggbeeswarm
ggplot2 CRAN · 1.0.8 · 2026-05-30	Suggests	ggplot2
hardhat CRAN · 1.0.8 · 2026-05-30	Suggests	hardhat
knitr CRAN · 1.0.8 · 2026-05-30	Suggests	knitr
mgcv CRAN · 1.0.8 · 2026-05-30	Suggests	mgcv
parsnip CRAN · 1.0.8 · 2026-05-30	Suggests	parsnip
party CRAN · 1.0.8 · 2026-05-30	Suggests	party
partykit CRAN · 1.0.8 · 2026-05-30	Suggests	partykit
progressr CRAN · 1.0.8 · 2026-05-30	Suggests	progressr
ranger CRAN · 1.0.8 · 2026-05-30	Suggests	ranger
recipes CRAN · 1.0.8 · 2026-05-30	Suggests	recipes
rmarkdown CRAN · 1.0.8 · 2026-05-30	Suggests	rmarkdown
roxygen2 CRAN · 1.0.8 · 2026-05-30	Suggests	roxygen2
rsample CRAN · 1.0.8 · 2026-05-30	Suggests	rsample
testthat CRAN · 1.0.8 · 2026-05-30	Suggests	testthat (>= 3.0.0)
torch CRAN · 1.0.8 · 2026-05-30	Suggests	torch
tune CRAN · 1.0.8 · 2026-05-30	Suggests	tune
vdiffr CRAN · 1.0.8 · 2026-05-30	Suggests	vdiffr
waldo CRAN · 1.0.8 · 2026-05-30	Suggests	waldo
workflows CRAN · 1.0.8 · 2026-05-30	Suggests	workflows
xgboost CRAN · 1.0.8 · 2026-05-30	Suggests	xgboost
yardstick CRAN · 1.0.8 · 2026-05-30	Suggests	yardstick
검색 결과가 없습니다.

1 / 8

이 패키지를 쓰는 패키지

3개 표시전체 3개

Package	Type	Spec
MLwrap 0.4.0 CRAN · 2026-05-30	Imports	shapr
futurize 0.3.0 CRAN · 2026-05-30	Suggests	shapr
rtemis 1.0.0 CRAN · 2026-05-30	Suggests	shapr
검색 결과가 없습니다.

1 / 1

Reverse dependency summary

2 types

Type	Packages
Imports	1
Suggests	2

패키지 페이지

Reverse imports

Reverse suggests

All links

Repository: CRAN
Version: 1.0.8
Collected: 2026-05-17 22:24:09
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

RcppArmadillo Rcpp

Published

2026-01-20

DOI

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/0000-0003-3908-5155 https://orcid.org/0009-0006-9360-6993 https://orcid.org/0000-0001-8396-5673 https://orcid.org/0000-0002-4671-0337

Maintainer

Martin Jullum <Martin.Jullum at nr.no>

BugReports

https://github.com/NorskRegnesentral/shapr/issues

License

MIT + file LICENSE

MIT LICENSE

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

Materials

README , NEWS

README NEWS

In Views

MachineLearning

CRAN Checks

shapr results

Reference Manual

shapr.html , shapr.pdf

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 )

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

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

shapr_1.0.8.zip shapr_1.0.8.zip 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

shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz

Old Sources

shapr archive

Reverse Imports

MLwrap

Reverse Suggests

futurize , rtemis , XAItest

futurize rtemis XAItest

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

README NEWS

Documentation 10

shapr.html shapr.pdf 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

Vignettes 8

Downloads 9

shapr_1.0.8.tar.gz shapr_1.0.8.zip shapr_1.0.8.zip shapr_1.0.8.zip shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz shapr archive

All page links 68

stats data.table Rcpp Matrix future.apply methods cli rlang RcppArmadillo ranger xgboost mgcv testthat knitr rmarkdown roxygen2 ggplot2 gbm party partykit waldo progressr future ggbeeswarm vdiffr forecast torch GGally coro 10.32614/CRAN.package.shapr https://orcid.org/0000-0003-3908-5155 https://orcid.org/0009-0006-9360-6993 https://orcid.org/0000-0001-8396-5673 https://orcid.org/0000-0002-4671-0337 https://github.com/NorskRegnesentral/shapr/issues MIT LICENSE https://norskregnesentral.github.io/shapr/https://github.com/NorskRegnesentral/shapr/shapr citation info README NEWS MachineLearning shapr results shapr.html shapr.pdf 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 shapr_1.0.8.tar.gz shapr_1.0.8.zip shapr_1.0.8.zip shapr_1.0.8.zip shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz shapr_1.0.8.tgz shapr archive MLwrap futurize rtemis XAItest https://CRAN.R-project.org/package=shapr

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.0.8		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Machine Learning & Statistical Learning · 2026-05-30