Rnaught

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / Rnaught

Rnaught

v0.1.0
Repository CRANLicense AGPL (>= 3)Needs compilation no
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.Rnaught

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.1.0
License
AGPL (>= 3)
Needs compilation
no
Last observed
2026-05-30
CRAN
cran.r-project.org/package=Rnaught

수집 소스별 패키지 정보

1개 소스
CRAN
0.1.0
2026-05-30
License
AGPL (>= 3)
Depends
R (>= 2.10)
Imports
stats, utils
Suggests
knitr, rmarkdown, shiny, bslib, DT, plotly, testthat (>= 3.0.0)
Needs compilation
no
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 9개
PackageTypeSpec
stats
CRAN · 0.1.0 · 2026-05-30
Importsstats
utils
CRAN · 0.1.0 · 2026-05-30
Importsutils
bslib
CRAN · 0.1.0 · 2026-05-30
Suggestsbslib
DT
CRAN · 0.1.0 · 2026-05-30
SuggestsDT
knitr
CRAN · 0.1.0 · 2026-05-30
Suggestsknitr
1 / 2

이 패키지를 쓰는 패키지

0개 표시전체 0개
PackageTypeSpec
표시할 dependency edge가 없습니다.
1 / 1

패키지 페이지

All links
38
Repository
CRAN
Version
0.1.0
Collected
2026-05-17 02:20:31
Package page
https://cran.r-project.org/web/packages/Rnaught/index.html
DOI
10.32614/CRAN.package.Rnaught
Citation
https://cran.r-project.org/web/packages/Rnaught/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_Rnaught.html
README
https://cran.r-project.org/web/packages/Rnaught/readme/README.html
NEWS
https://cran.r-project.org/web/packages/Rnaught/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/Rnaught/refman/Rnaught.html
Reference PDF
https://cran.r-project.org/web/packages/Rnaught/Rnaught.pdf
Source package
https://cran.r-project.org/src/contrib/Rnaught_0.1.0.tar.gz
Page fields
Author
Naeem Model [aut, cph, cre], Sawitree Boonpatcharanon [aut, cph], Jane Heffernan [aut, cph], Hanna Jankowski [aut, cph], Tatiana Krikella [aut, cph], Kseniia Lipikhin [ctb, cph]
BugReports
https://github.com/MI2YorkU/Rnaught/issues
CRAN Checks
Rnaught results
Citation
Rnaught citation info
DOI
10.32614/CRAN.package.Rnaught
License
AGPL (≥ 3)
Maintainer
Naeem Model <me at nmode.ca>
Materials
README , NEWS
NeedsCompilation
no
Package Source
Rnaught_0.1.0.tar.gz
Published
2025-09-02
Reference Manual
Rnaught.html , Rnaught.pdf
URL
https://mi2yorku.github.io/Rnaught/ , https://github.com/MI2YorkU/Rnaught
Version
0.1.0
Vignettes
Introduction to Rnaught ( source , R code ) Sequential Bayes: Utilizing the Posterior Distribution ( source , R code ) White and Pagano: Utilizing the Serial Distribution ( source , R code )
Windows Binaries
r-devel: Rnaught_0.1.0.zip , r-release: Rnaught_0.1.0.zip , r-oldrel: Rnaught_0.1.0.zip
MacOS Binaries
r-release (arm64): Rnaught_0.1.0.tgz , r-oldrel (arm64): Rnaught_0.1.0.tgz , r-release (x86_64): Rnaught_0.1.0.tgz , r-oldrel (x86_64): Rnaught_0.1.0.tgz
Version
0.1.0
Published
2025-09-02
DOI
10.32614/CRAN.package.Rnaught
10.32614/CRAN.package.Rnaught
Author
Naeem Model [aut, cph, cre], Sawitree Boonpatcharanon [aut, cph], Jane Heffernan [aut, cph], Hanna Jankowski [aut, cph], Tatiana Krikella [aut, cph], Kseniia Lipikhin [ctb, cph]
Maintainer
Naeem Model <me at nmode.ca>
BugReports
https://github.com/MI2YorkU/Rnaught/issues
https://github.com/MI2YorkU/Rnaught/issues
License
AGPL (≥ 3)
AGPL (≥ 3)
URL
https://mi2yorku.github.io/Rnaught/ , https://github.com/MI2YorkU/Rnaught
https://mi2yorku.github.io/Rnaught/https://github.com/MI2YorkU/Rnaught
NeedsCompilation
no
Citation
Rnaught citation info
Rnaught citation info
Materials
README , NEWS
READMENEWS
CRAN Checks
Rnaught results
Rnaught results
Reference Manual
Rnaught.html , Rnaught.pdf
Rnaught.htmlRnaught.pdf
Vignettes
Introduction to Rnaught ( source , R code ) Sequential Bayes: Utilizing the Posterior Distribution ( source , R code ) White and Pagano: Utilizing the Serial Distribution ( source , R code )
Introduction to RnaughtsourceR codeSequential Bayes: Utilizing the Posterior DistributionsourceR codeWhite and Pagano: Utilizing the Serial DistributionsourceR code
Package Source
Rnaught_0.1.0.tar.gz
Rnaught_0.1.0.tar.gz
Windows Binaries
r-devel: Rnaught_0.1.0.zip , r-release: Rnaught_0.1.0.zip , r-oldrel: Rnaught_0.1.0.zip
Rnaught_0.1.0.zipRnaught_0.1.0.zipRnaught_0.1.0.zip
MacOS Binaries
r-release (arm64): Rnaught_0.1.0.tgz , r-oldrel (arm64): Rnaught_0.1.0.tgz , r-release (x86_64): Rnaught_0.1.0.tgz , r-oldrel (x86_64): Rnaught_0.1.0.tgz
Rnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgz
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"Rnaught.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/refman/Rnaught.html"},{"label":"Rnaught.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/Rnaught.pdf"},{"label":"Introduction to Rnaught","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/Rnaught.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/Rnaught.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/Rnaught.R"},{"label":"Sequential Bayes: Utilizing the Posterior Distribution","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/seq_bayes_post.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/seq_bayes_post.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/seq_bayes_post.R"},{"label":"White and Pagano: Utilizing the Serial Distribution","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/wp_serial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/wp_serial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rnaught/vignettes/wp_serial.R"}]
Text
Reference manual: Rnaught.html , Rnaught.pdf Vignettes: Introduction to Rnaught ( source , R code ) Sequential Bayes: Utilizing the Posterior Distribution ( source , R code ) White and Pagano: Utilizing the Serial Distribution ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"Rnaught_0.1.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/Rnaught_0.1.0.tar.gz"},{"label":"Rnaught_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/Rnaught_0.1.0.zip"},{"label":"Rnaught_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/Rnaught_0.1.0.zip"},{"label":"Rnaught_0.1.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/Rnaught_0.1.0.zip"},{"label":"Rnaught_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/Rnaught_0.1.0.tgz"},{"label":"Rnaught_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/Rnaught_0.1.0.tgz"},{"label":"Rnaught_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/Rnaught_0.1.0.tgz"},{"label":"Rnaught_0.1.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/Rnaught_0.1.0.tgz"}]
Text
Package source: Rnaught_0.1.0.tar.gz Windows binaries: r-devel: Rnaught_0.1.0.zip , r-release: Rnaught_0.1.0.zip , r-oldrel: Rnaught_0.1.0.zip macOS binaries: r-release (arm64): Rnaught_0.1.0.tgz , r-oldrel (arm64): Rnaught_0.1.0.tgz , r-release (x86_64): Rnaught_0.1.0.tgz , r-oldrel (x86_64): Rnaught_0.1.0.tgz
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=Rnaught","section":"","type":"","url":"https://CRAN.R-project.org/package=Rnaught"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=Rnaught to link to this page.
Materials 2
READMENEWS
Documentation 11
Rnaught.htmlRnaught.pdfIntroduction to RnaughtsourceR codeSequential Bayes: Utilizing the Posterior DistributionsourceR codeWhite and Pagano: Utilizing the Serial DistributionsourceR code
Vignettes 9
Introduction to RnaughtsourceR codeSequential Bayes: Utilizing the Posterior DistributionsourceR codeWhite and Pagano: Utilizing the Serial DistributionsourceR code
Downloads 8
Rnaught_0.1.0.tar.gzRnaught_0.1.0.zipRnaught_0.1.0.zipRnaught_0.1.0.zipRnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgz
All page links 38
statsutilsknitrrmarkdownshinybslibDTplotlytestthat10.32614/CRAN.package.Rnaughthttps://github.com/MI2YorkU/Rnaught/issuesAGPL (≥ 3)https://mi2yorku.github.io/Rnaught/https://github.com/MI2YorkU/RnaughtRnaught citation infoREADMENEWSRnaught resultsRnaught.htmlRnaught.pdfIntroduction to RnaughtsourceR codeSequential Bayes: Utilizing the Posterior DistributionsourceR codeWhite and Pagano: Utilizing the Serial DistributionsourceR codeRnaught_0.1.0.tar.gzRnaught_0.1.0.zipRnaught_0.1.0.zipRnaught_0.1.0.zipRnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgzRnaught_0.1.0.tgzhttps://CRAN.R-project.org/package=Rnaught

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.1.02026-05-292026-05-30

보안

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문헌 신호

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