grf

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / grf

grf

v2.6.1
grf
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOI
DOI
10.32614/CRAN.package.grf
Task views
Causal Inference, Econometrics, Machine Learning & Statistical Learning, Missing Data
Reverse imports
857

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Causal Inference, Econometrics, Machine Learning & Statistical Learning 외 1
Reverse imports
857

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.6.1
License
GPL-3
Lifecycle
active
Needs compilation
yes
Reverse imports
857
Last observed
2026-05-30
CRAN
cran.r-project.org/package=grf

Build fields

LinkingTo
2
RcppRcppEigen

수집 소스별 패키지 정보

1개 소스
CRAN
2.6.1
2026-05-30
License
GPL-3
Depends
R (>= 3.5.0)
Imports
DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)
Suggests
DiagrammeR, MASS, policytree, rdrobust, survival (>= 3.2-8), testthat (>= 3.0.4), knitr, rmarkdown
LinkingTo
Rcpp, RcppEigen
Needs compilation
yes
Reverse imports
857
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 16개
PackageTypeSpec
DiceKriging
CRAN · 2.6.1 · 2026-05-30
ImportsDiceKriging
lmtest
CRAN · 2.6.1 · 2026-05-30
Importslmtest
Matrix
CRAN · 2.6.1 · 2026-05-30
ImportsMatrix
methods
CRAN · 2.6.1 · 2026-05-30
Importsmethods
Rcpp
CRAN · 2.6.1 · 2026-05-30
ImportsRcpp (>= 0.12.15)
1 / 4

이 패키지를 쓰는 패키지

5개 표시전체 30개
PackageTypeSpec
aggTrees
2.1.0
CRAN · 2026-05-30
Importsgrf
causalDT
1.0.0
CRAN · 2026-05-30
Importsgrf
causalQual
1.0.0
CRAN · 2026-05-30
Importsgrf
causalweight
1.1.4
CRAN · 2026-05-18
Importsgrf
causalWins
0.1.0
CRAN · 2026-05-30
Importsgrf
1 / 6

Reverse dependency summary

2 types
TypePackages
Imports23
Suggests7

패키지 페이지

Reverse imports
44
Reverse suggests
14
All links
67
Repository
CRAN
Version
2.6.1
Collected
2026-05-26 00:07:42
Package page
https://cran.r-project.org/web/packages/grf/index.html
DOI
10.32614/CRAN.package.grf
CRAN checks
https://cran.r-project.org/web/checks/check_results_grf.html
Reference HTML
https://cran.r-project.org/web/packages/grf/refman/grf.html
Reference PDF
https://cran.r-project.org/web/packages/grf/grf.pdf
Source package
https://cran.r-project.org/src/contrib/grf_2.6.1.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/grf
In views
CausalInferenceEconometricsMachineLearningMissingData
Page fields
Author
Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
BugReports
https://github.com/grf-labs/grf/issues
CRAN Checks
grf results
DOI
10.32614/CRAN.package.grf
In Views
CausalInference , Econometrics , MachineLearning , MissingData
License
GPL-3
LinkingTo
Rcpp , RcppEigen
Maintainer
Erik Sverdrup <erik.sverdrup at monash.edu>
NeedsCompilation
yes
Old Sources
grf archive
Package Source
grf_2.6.1.tar.gz
Published
2026-03-04
Reference Manual
grf.html , grf.pdf
Reverse Imports
aggTrees , causalDT , causalQual , causalWins , cohetsurr , cramR , EpiForsk , evalITR , fdid , forestBalance , forestsearch , HCPclust , highMLR , htetree , interflex , longsurr , mrddGlobal , OutcomeWeights , PLUCR , policytree , qeML , roseRF
Reverse Suggests
causaldef , CRE , evalHTE , maq , MetaHunt , rdss , targeted
SystemRequirements
C++17, GNU make
URL
https://github.com/grf-labs/grf
Version
2.6.1
Vignettes
An introduction to grf ( source , R code )
Windows Binaries
r-devel: grf_2.6.1.zip , r-release: grf_2.6.1.zip , r-oldrel: grf_2.6.1.zip
MacOS Binaries
r-release (arm64): grf_2.6.1.tgz , r-oldrel (arm64): grf_2.6.1.tgz , r-release (x86_64): grf_2.6.1.tgz , r-oldrel (x86_64): grf_2.6.1.tgz
Version
2.6.1
LinkingTo
Rcpp , RcppEigen
RcppRcppEigen
Published
2026-03-04
DOI
10.32614/CRAN.package.grf
10.32614/CRAN.package.grf
Author
Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer
Erik Sverdrup <erik.sverdrup at monash.edu>
BugReports
https://github.com/grf-labs/grf/issues
https://github.com/grf-labs/grf/issues
License
GPL-3
GPL-3
URL
https://github.com/grf-labs/grf
https://github.com/grf-labs/grf
NeedsCompilation
yes
SystemRequirements
C++17, GNU make
In Views
CausalInference , Econometrics , MachineLearning , MissingData
CausalInferenceEconometricsMachineLearningMissingData
CRAN Checks
grf results
grf results
Reference Manual
grf.html , grf.pdf
grf.htmlgrf.pdf
Vignettes
An introduction to grf ( source , R code )
An introduction to grfsourceR code
Package Source
grf_2.6.1.tar.gz
grf_2.6.1.tar.gz
Windows Binaries
r-devel: grf_2.6.1.zip , r-release: grf_2.6.1.zip , r-oldrel: grf_2.6.1.zip
grf_2.6.1.zipgrf_2.6.1.zipgrf_2.6.1.zip
MacOS Binaries
r-release (arm64): grf_2.6.1.tgz , r-oldrel (arm64): grf_2.6.1.tgz , r-release (x86_64): grf_2.6.1.tgz , r-oldrel (x86_64): grf_2.6.1.tgz
grf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgz
Old Sources
grf archive
grf archive
Reverse Imports
aggTrees , causalDT , causalQual , causalWins , cohetsurr , cramR , EpiForsk , evalITR , fdid , forestBalance , forestsearch , HCPclust , highMLR , htetree , interflex , longsurr , mrddGlobal , OutcomeWeights , PLUCR , policytree , qeML , roseRF
aggTreescausalDTcausalQualcausalWinscohetsurrcramREpiForskevalITRfdidforestBalanceforestsearchHCPclusthighMLRhtetreeinterflexlongsurrmrddGlobalOutcomeWeightsPLUCRpolicytree
Reverse Suggests
causaldef , CRE , evalHTE , maq , MetaHunt , rdss , targeted
causaldefCREevalHTEmaqMetaHuntrdsstargeted
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"grf.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/grf/refman/grf.html"},{"label":"grf.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/grf/grf.pdf"},{"label":"An introduction to grf","section":"","type":"","url":"https://cran.r-project.org/web/packages/grf/vignettes/grf_guide.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/grf/vignettes/grf_guide.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/grf/vignettes/grf_guide.R"}]
Text
Reference manual: grf.html , grf.pdf Vignettes: An introduction to grf ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"grf_2.6.1.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/grf_2.6.1.tar.gz"},{"label":"grf_2.6.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/grf_2.6.1.zip"},{"label":"grf_2.6.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/grf_2.6.1.zip"},{"label":"grf_2.6.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/grf_2.6.1.zip"},{"label":"grf_2.6.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/grf_2.6.1.tgz"},{"label":"grf_2.6.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/grf_2.6.1.tgz"},{"label":"grf_2.6.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/grf_2.6.1.tgz"},{"label":"grf_2.6.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/grf_2.6.1.tgz"},{"label":"grf archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/grf"}]
Text
Package source: grf_2.6.1.tar.gz Windows binaries: r-devel: grf_2.6.1.zip , r-release: grf_2.6.1.zip , r-oldrel: grf_2.6.1.zip macOS binaries: r-release (arm64): grf_2.6.1.tgz , r-oldrel (arm64): grf_2.6.1.tgz , r-release (x86_64): grf_2.6.1.tgz , r-oldrel (x86_64): grf_2.6.1.tgz Old sources: grf archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"aggTrees","section":"","type":"","url":"https://cran.r-project.org/web/packages/aggTrees/index.html"},{"label":"causalDT","section":"","type":"","url":"https://cran.r-project.org/web/packages/causalDT/index.html"},{"label":"causalQual","section":"","type":"","url":"https://cran.r-project.org/web/packages/causalQual/index.html"},{"label":"causalWins","section":"","type":"","url":"https://cran.r-project.org/web/packages/causalWins/index.html"},{"label":"cohetsurr","section":"","type":"","url":"https://cran.r-project.org/web/packages/cohetsurr/index.html"},{"label":"cramR","section":"","type":"","url":"https://cran.r-project.org/web/packages/cramR/index.html"},{"label":"EpiForsk","section":"","type":"","url":"https://cran.r-project.org/web/packages/EpiForsk/index.html"},{"label":"evalITR","section":"","type":"","url":"https://cran.r-project.org/web/packages/evalITR/index.html"},{"label":"fdid","section":"","type":"","url":"https://cran.r-project.org/web/packages/fdid/index.html"},{"label":"forestBalance","section":"","type":"","url":"https://cran.r-project.org/web/packages/forestBalance/index.html"},{"label":"forestsearch","section":"","type":"","url":"https://cran.r-project.org/web/packages/forestsearch/index.html"},{"label":"HCPclust","section":"","type":"","url":"https://cran.r-project.org/web/packages/HCPclust/index.html"},{"label":"highMLR","section":"","type":"","url":"https://cran.r-project.org/web/packages/highMLR/index.html"},{"label":"htetree","section":"","type":"","url":"https://cran.r-project.org/web/packages/htetree/index.html"},{"label":"interflex","section":"","type":"","url":"https://cran.r-project.org/web/packages/interflex/index.html"},{"label":"longsurr","section":"","type":"","url":"https://cran.r-project.org/web/packages/longsurr/index.html"},{"label":"mrddGlobal","section":"","type":"","url":"https://cran.r-project.org/web/packages/mrddGlobal/index.html"},{"label":"OutcomeWeights","section":"","type":"","url":"https://cran.r-project.org/web/packages/OutcomeWeights/index.html"},{"label":"PLUCR","section":"","type":"","url":"https://cran.r-project.org/web/packages/PLUCR/index.html"},{"label":"policytree","section":"","type":"","url":"https://cran.r-project.org/web/packages/policytree/index.html"}]
Text
Reverse imports: aggTrees , causalDT , causalQual , causalWins , cohetsurr , cramR , EpiForsk , evalITR , fdid , forestBalance , forestsearch , HCPclust , highMLR , htetree , interflex , longsurr , mrddGlobal , OutcomeWeights , PLUCR , policytree , qeML , roseRF Reverse suggests: causaldef , CRE , evalHTE , maq , MetaHunt , rdss , targeted
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=grf","section":"","type":"","url":"https://CRAN.R-project.org/package=grf"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=grf to link to this page.
Documentation 5
grf.htmlgrf.pdfAn introduction to grfsourceR code
Vignettes 3
An introduction to grfsourceR code
Downloads 9
grf_2.6.1.tar.gzgrf_2.6.1.zipgrf_2.6.1.zipgrf_2.6.1.zipgrf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgzgrf archive
All page links 67
DiceKriginglmtestMatrixmethodsRcppsandwichRcppEigenDiagrammeRMASSpolicytreerdrobustsurvivaltestthatknitrrmarkdown10.32614/CRAN.package.grfhttps://github.com/grf-labs/grf/issuesGPL-3https://github.com/grf-labs/grfCausalInferenceEconometricsMachineLearningMissingDatagrf resultsgrf.htmlgrf.pdfAn introduction to grfsourceR codegrf_2.6.1.tar.gzgrf_2.6.1.zipgrf_2.6.1.zipgrf_2.6.1.zipgrf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgzgrf_2.6.1.tgzgrf archiveaggTreescausalDTcausalQualcausalWinscohetsurrcramREpiForskevalITRfdidforestBalanceforestsearchHCPclusthighMLRhtetreeinterflexlongsurrmrddGlobalOutcomeWeightsPLUCRcausaldefCREevalHTEmaqMetaHuntrdsstargetedqeMLroseRFhttps://CRAN.R-project.org/package=grf

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.6.12026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Causal Inference · 2026-05-30Econometrics · 2026-05-30Machine Learning & Statistical Learning · 2026-05-30Missing Data · 2026-05-30