leaf

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / leaf

leaf

v0.1.0

leaf

Repository CRANLicense MIT + file LICENSENeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.leaf

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.1.0

License

MIT + file LICENSE

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

0.1.0

2026-05-30

License

MIT + file LICENSE

Imports

R6, utils, reticulate (>= 1.30), ggplot2, dplyr, rlang, rappdirs, rstudioapi

Suggests

rmarkdown, knitr, testthat (>= 3.0.0)

Needs compilation

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 11개

Package	Type	Spec
dplyr CRAN · 0.1.0 · 2026-05-30	Imports	dplyr
ggplot2 CRAN · 0.1.0 · 2026-05-30	Imports	ggplot2
R6 CRAN · 0.1.0 · 2026-05-30	Imports	R6
rappdirs CRAN · 0.1.0 · 2026-05-30	Imports	rappdirs
reticulate CRAN · 0.1.0 · 2026-05-30	Imports	reticulate (>= 1.30)
rlang CRAN · 0.1.0 · 2026-05-30	Imports	rlang
rstudioapi CRAN · 0.1.0 · 2026-05-30	Imports	rstudioapi
utils CRAN · 0.1.0 · 2026-05-30	Imports	utils
knitr CRAN · 0.1.0 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 0.1.0 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 0.1.0 · 2026-05-30	Suggests	testthat (>= 3.0.0)
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1 / 3

이 패키지를 쓰는 패키지

0개 표시전체 0개

Package	Type	Spec
표시할 dependency edge가 없습니다.
검색 결과가 없습니다.

1 / 1

패키지 페이지

All links

Repository: CRAN
Version: 0.1.0
Collected: 2026-05-27 11:39:18
Package page: https://cran.r-project.org/web/packages/leaf/index.html
DOI: 10.32614/CRAN.package.leaf
CRAN checks: https://cran.r-project.org/web/checks/check_results_leaf.html
README: https://cran.r-project.org/web/packages/leaf/readme/README.html
NEWS: https://cran.r-project.org/web/packages/leaf/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/leaf/refman/leaf.html
Reference PDF: https://cran.r-project.org/web/packages/leaf/leaf.pdf
Source package: https://cran.r-project.org/src/contrib/leaf_0.1.0.tar.gz

Page fields

Author: Francisco Martins [cre, aut, cph], Pedro Cardoso [aut], Manuel Lopes [aut], Vasco Branco [aut], INESC-ID [fnd] (Financed by FCT - PTDC/CCI-COM/5060/2021), intell-sci-comput [cph] (Copyright holder of RSRM (<https://github.com/intell-sci-comput/RSRM>))
CRAN Checks: leaf results
Copyright: see inst/COPYRIGHTS leaf copyright details
DOI: 10.32614/CRAN.package.leaf
License: MIT + file LICENSE
Maintainer: Francisco Martins <francisco.martins at tecnico.ulisboa.pt>
Materials: README , NEWS
NeedsCompilation: no
Package Source: leaf_0.1.0.tar.gz
Published: 2026-04-21
Reference Manual: leaf.html , leaf.pdf
SystemRequirements: Conda, Python (>= 3.10)
URL: https://github.com/NabiaAI/Leaf
Version: 0.1.0
Vignettes: Multi-View Symbolic Regression with leaf ( source ) Binary classification with leaf ( source ) Cross-Validation for Symbolic Regression ( source ) Getting Started with leaf ( source ) Initialization ( source , R code ) Manual Symbolic Regression: Testing Hypotheses ( source ) Minimal Example: Quick Start ( source ) Introduction to 2D Pareto Fronts ( source , R code ) Train-Test Splitting for Symbolic Regression ( source )
Windows Binaries: r-devel: leaf_0.1.0.zip , r-release: leaf_0.1.0.zip , r-oldrel: leaf_0.1.0.zip
MacOS Binaries: r-release (arm64): leaf_0.1.0.tgz , r-oldrel (arm64): leaf_0.1.0.tgz , r-release (x86_64): leaf_0.1.0.tgz , r-oldrel (x86_64): leaf_0.1.0.tgz

Version

0.1.0

Published

2026-04-21

DOI

10.32614/CRAN.package.leaf

Author

Francisco Martins [cre, aut, cph], Pedro Cardoso [aut], Manuel Lopes [aut], Vasco Branco [aut], INESC-ID [fnd] (Financed by FCT - PTDC/CCI-COM/5060/2021), intell-sci-comput [cph] (Copyright holder of RSRM (<https://github.com/intell-sci-comput/RSRM>))

https://orcid.org/0009-0007-9941-2994 https://orcid.org/0000-0001-8119-9960 https://orcid.org/0000-0002-6238-8974 https://orcid.org/0000-0001-7797-3183

Maintainer

Francisco Martins <francisco.martins at tecnico.ulisboa.pt>

License

MIT + file LICENSE

MIT LICENSE

see inst/COPYRIGHTS leaf copyright details

leaf copyright details

URL

https://github.com/NabiaAI/Leaf

NeedsCompilation

SystemRequirements

Conda, Python (>= 3.10)

Materials

README , NEWS

README NEWS

CRAN Checks

leaf results

Reference Manual

leaf.html , leaf.pdf

leaf.html leaf.pdf

Vignettes

Multi-View Symbolic Regression with leaf ( source ) Binary classification with leaf ( source ) Cross-Validation for Symbolic Regression ( source ) Getting Started with leaf ( source ) Initialization ( source , R code ) Manual Symbolic Regression: Testing Hypotheses ( source ) Minimal Example: Quick Start ( source ) Introduction to 2D Pareto Fronts ( source , R code ) Train-Test Splitting for Symbolic Regression ( source )

Package Source

leaf_0.1.0.tar.gz

Windows Binaries

r-devel: leaf_0.1.0.zip , r-release: leaf_0.1.0.zip , r-oldrel: leaf_0.1.0.zip

leaf_0.1.0.zip leaf_0.1.0.zip leaf_0.1.0.zip

MacOS Binaries

r-release (arm64): leaf_0.1.0.tgz , r-oldrel (arm64): leaf_0.1.0.tgz , r-release (x86_64): leaf_0.1.0.tgz , r-oldrel (x86_64): leaf_0.1.0.tgz

leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"leaf.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/refman/leaf.html"},{"label":"leaf.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/leaf.pdf"},{"label":"Multi-View Symbolic Regression with leaf","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/MvSR.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/MvSR.Rmd"},{"label":"Binary classification with leaf","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/classification_example.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/classification_example.Rmd"},{"label":"Cross-Validation for Symbolic Regression","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/cross_validation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/cross_validation.Rmd"},{"label":"Getting Started with leaf","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/getting_started.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/getting_started.Rmd"},{"label":"Initialization","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/initialization.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/initialization.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/initialization.R"},{"label":"Manual Symbolic Regression: Testing Hypotheses","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/manual_engine.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/manual_engine.Rmd"},{"label":"Minimal Example: Quick Start","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/minimal_example.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/minimal_example.Rmd"},{"label":"Introduction to 2D Pareto Fronts","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/pareto.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/pareto.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/leaf/vignettes/pareto.R"}]

Text

Reference manual: leaf.html , leaf.pdf Vignettes: Multi-View Symbolic Regression with leaf ( source ) Binary classification with leaf ( source ) Cross-Validation for Symbolic Regression ( source ) Getting Started with leaf ( source ) Initialization ( source , R code ) Manual Symbolic Regression: Testing Hypotheses ( source ) Minimal Example: Quick Start ( source ) Introduction to 2D Pareto Fronts ( source , R code ) Train-Test Splitting for Symbolic Regression ( source )

Downloads

Heading

Downloads

Links

[{"label":"leaf_0.1.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/leaf_0.1.0.tar.gz"},{"label":"leaf_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/leaf_0.1.0.zip"},{"label":"leaf_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/leaf_0.1.0.zip"},{"label":"leaf_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/leaf_0.1.0.zip"},{"label":"leaf_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/leaf_0.1.0.tgz"},{"label":"leaf_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/leaf_0.1.0.tgz"},{"label":"leaf_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/leaf_0.1.0.tgz"},{"label":"leaf_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/leaf_0.1.0.tgz"}]

Text

Package source: leaf_0.1.0.tar.gz Windows binaries: r-devel: leaf_0.1.0.zip , r-release: leaf_0.1.0.zip , r-oldrel: leaf_0.1.0.zip macOS binaries: r-release (arm64): leaf_0.1.0.tgz , r-oldrel (arm64): leaf_0.1.0.tgz , r-release (x86_64): leaf_0.1.0.tgz , r-oldrel (x86_64): leaf_0.1.0.tgz

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=leaf","section":"","type":"","url":"https://CRAN.R-project.org/package=leaf"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=leaf to link to this page.

Materials 2

README NEWS

Documentation 22

Vignettes 20

Downloads 8

leaf_0.1.0.tar.gz leaf_0.1.0.zip leaf_0.1.0.zip leaf_0.1.0.zip leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz

All page links 54

R6 utils reticulate ggplot2 dplyr rlang rappdirs rstudioapi rmarkdown knitr testthat 10.32614/CRAN.package.leaf https://orcid.org/0009-0007-9941-2994 https://orcid.org/0000-0001-8119-9960 https://orcid.org/0000-0002-6238-8974 https://orcid.org/0000-0001-7797-3183 MIT LICENSE leaf copyright details https://github.com/NabiaAI/Leaf README NEWS leaf results leaf.html leaf.pdf Multi-View Symbolic Regression with leaf source Binary classification with leaf source Cross-Validation for Symbolic Regression source Getting Started with leaf source Initialization source R code Manual Symbolic Regression: Testing Hypotheses source Minimal Example: Quick Start source Introduction to 2D Pareto Fronts source R code Train-Test Splitting for Symbolic Regression source leaf_0.1.0.tar.gz leaf_0.1.0.zip leaf_0.1.0.zip leaf_0.1.0.zip leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz leaf_0.1.0.tgz https://CRAN.R-project.org/package=leaf

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.1.0		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.