nsRFA

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / nsRFA

nsRFA

v0.7-17
Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOI
DOI
10.32614/CRAN.package.nsRFA
Task views
Analysis of Ecological and Environmental Data, Hydrological Data and Modeling
Reverse imports
52

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Analysis of Ecological and Environmental Data, Hydrological Data and Modeling
Reverse imports
52

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.7-17
License
GPL (>= 2)
Lifecycle
active
Needs compilation
no
Reverse imports
52
Last observed
2026-06-04
CRAN
cran.r-project.org/package=nsRFA

수집 소스별 패키지 정보

1개 소스
CRAN
0.7-17
2026-06-04
License
GPL (>= 2)
Depends
R (>= 3.0.0), stats, graphics, methods
Needs compilation
no
Reverse imports
52
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

3개 표시전체 3개
PackageTypeSpec
graphics
CRAN · 0.7-17 · 2026-06-04
Dependsgraphics
methods
CRAN · 0.7-17 · 2026-06-04
Dependsmethods
stats
CRAN · 0.7-17 · 2026-06-04
Dependsstats
1 / 1

이 패키지를 쓰는 패키지

1개 표시전체 1개
PackageTypeSpec
eFCM
1.0
CRAN · 2026-06-04
ImportsnsRFA
1 / 1

Reverse dependency summary

1 types
TypePackages
Imports1

패키지 페이지

Reverse imports
2
All links
37
Repository
CRAN
Version
0.7-17
Collected
2026-05-29 17:20:43
Package page
https://cran.r-project.org/web/packages/nsRFA/index.html
DOI
10.32614/CRAN.package.nsRFA
CRAN checks
https://cran.r-project.org/web/checks/check_results_nsRFA.html
Reference HTML
https://cran.r-project.org/web/packages/nsRFA/refman/nsRFA.html
Reference PDF
https://cran.r-project.org/web/packages/nsRFA/nsRFA.pdf
Source package
https://cran.r-project.org/src/contrib/nsRFA_0.7-17.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/nsRFA
In views
EnvironmetricsHydrology
Page fields
Author
Alberto Viglione [aut, cre], Francesco Laio [ctb], Eric Gaume [ctb], Olivier Payrastre [ctb], Jose Luis Salinas [ctb], Chi Cong N'guyen [ctb], Karine Halbert [ctb]
CRAN Checks
nsRFA results
Copyright
The functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R' are derived from original Francesco Laio Matlab code (non published material).
DOI
10.32614/CRAN.package.nsRFA
In Views
Environmetrics , Hydrology
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Alberto Viglione <alberto.viglione at polito.it>
NeedsCompilation
no
Old Sources
nsRFA archive
Package Source
nsRFA_0.7-17.tar.gz
Published
2024-05-14
Reference Manual
nsRFA.html , nsRFA.pdf
Reverse Imports
eFCM
Version
0.7-17
Vignettes
Local and regional analyses with BayesianMCMC ( source , R code ) Figures 11 and 12 in Griffis and Stedinger (2007) ( source , R code ) Figure 1 in Elamir and Seheult (2004) ( source , R code ) Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function ( source , R code ) How to use the package nsRFA: example 2 ( source , R code )
Windows Binaries
r-devel: nsRFA_0.7-17.zip , r-release: nsRFA_0.7-17.zip , r-oldrel: nsRFA_0.7-17.zip
MacOS Binaries
r-release (arm64): nsRFA_0.7-17.tgz , r-oldrel (arm64): nsRFA_0.7-17.tgz , r-release (x86_64): nsRFA_0.7-17.tgz , r-oldrel (x86_64): nsRFA_0.7-17.tgz
Version
0.7-17
Published
2024-05-14
DOI
10.32614/CRAN.package.nsRFA
10.32614/CRAN.package.nsRFA
Author
Alberto Viglione [aut, cre], Francesco Laio [ctb], Eric Gaume [ctb], Olivier Payrastre [ctb], Jose Luis Salinas [ctb], Chi Cong N'guyen [ctb], Karine Halbert [ctb]
Maintainer
Alberto Viglione <alberto.viglione at polito.it>
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
GPL-2GPL-3
Copyright
The functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R' are derived from original Francesco Laio Matlab code (non published material).
NeedsCompilation
no
In Views
Environmetrics , Hydrology
EnvironmetricsHydrology
CRAN Checks
nsRFA results
nsRFA results
Reference Manual
nsRFA.html , nsRFA.pdf
nsRFA.htmlnsRFA.pdf
Vignettes
Local and regional analyses with BayesianMCMC ( source , R code ) Figures 11 and 12 in Griffis and Stedinger (2007) ( source , R code ) Figure 1 in Elamir and Seheult (2004) ( source , R code ) Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function ( source , R code ) How to use the package nsRFA: example 2 ( source , R code )
Local and regional analyses with BayesianMCMCsourceR codeFigures 11 and 12 in Griffis and Stedinger (2007)sourceR codeFigure 1 in Elamir and Seheult (2004)sourceR codeModel selection techniques for the frequency analysis of hydrological extremes: ...sourceR codeHow to use the package nsRFA: example 2sourceR code
Package Source
nsRFA_0.7-17.tar.gz
nsRFA_0.7-17.tar.gz
Windows Binaries
r-devel: nsRFA_0.7-17.zip , r-release: nsRFA_0.7-17.zip , r-oldrel: nsRFA_0.7-17.zip
nsRFA_0.7-17.zipnsRFA_0.7-17.zipnsRFA_0.7-17.zip
MacOS Binaries
r-release (arm64): nsRFA_0.7-17.tgz , r-oldrel (arm64): nsRFA_0.7-17.tgz , r-release (x86_64): nsRFA_0.7-17.tgz , r-oldrel (x86_64): nsRFA_0.7-17.tgz
nsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgz
Old Sources
nsRFA archive
nsRFA archive
Reverse Imports
eFCM
eFCM
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"nsRFA.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/refman/nsRFA.html"},{"label":"nsRFA.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/nsRFA.pdf"},{"label":"Local and regional analyses with BayesianMCMC","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/BayesianMCMC_reg.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/BayesianMCMC_reg.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/BayesianMCMC_reg.R"},{"label":"Figures 11 and 12 in Griffis and Stedinger (2007)","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig11GriffisStedinger.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig11GriffisStedinger.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig11GriffisStedinger.R"},{"label":"Figure 1 in Elamir and Seheult (2004)","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig1ElamirSeheult.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig1ElamirSeheult.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/Fig1ElamirSeheult.R"},{"label":"Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/MSClaio2008.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/MSClaio2008.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/MSClaio2008.R"},{"label":"How to use the package nsRFA: example 2","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/nsRFA_ex02.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/nsRFA_ex02.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/nsRFA/vignettes/nsRFA_ex02.R"}]
Text
Reference manual: nsRFA.html , nsRFA.pdf Vignettes: Local and regional analyses with BayesianMCMC ( source , R code ) Figures 11 and 12 in Griffis and Stedinger (2007) ( source , R code ) Figure 1 in Elamir and Seheult (2004) ( source , R code ) Model selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R function ( source , R code ) How to use the package nsRFA: example 2 ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"nsRFA_0.7-17.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/nsRFA_0.7-17.tar.gz"},{"label":"nsRFA_0.7-17.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/nsRFA_0.7-17.zip"},{"label":"nsRFA_0.7-17.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/nsRFA_0.7-17.zip"},{"label":"nsRFA_0.7-17.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/nsRFA_0.7-17.zip"},{"label":"nsRFA_0.7-17.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/nsRFA_0.7-17.tgz"},{"label":"nsRFA_0.7-17.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/nsRFA_0.7-17.tgz"},{"label":"nsRFA_0.7-17.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/nsRFA_0.7-17.tgz"},{"label":"nsRFA_0.7-17.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/nsRFA_0.7-17.tgz"},{"label":"nsRFA archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/nsRFA"}]
Text
Package source: nsRFA_0.7-17.tar.gz Windows binaries: r-devel: nsRFA_0.7-17.zip , r-release: nsRFA_0.7-17.zip , r-oldrel: nsRFA_0.7-17.zip macOS binaries: r-release (arm64): nsRFA_0.7-17.tgz , r-oldrel (arm64): nsRFA_0.7-17.tgz , r-release (x86_64): nsRFA_0.7-17.tgz , r-oldrel (x86_64): nsRFA_0.7-17.tgz Old sources: nsRFA archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"eFCM","section":"","type":"","url":"https://cran.r-project.org/web/packages/eFCM/index.html"}]
Text
Reverse imports: eFCM
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=nsRFA","section":"","type":"","url":"https://CRAN.R-project.org/package=nsRFA"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=nsRFA to link to this page.
Documentation 17
nsRFA.htmlnsRFA.pdfLocal and regional analyses with BayesianMCMCsourceR codeFigures 11 and 12 in Griffis and Stedinger (2007)sourceR codeFigure 1 in Elamir and Seheult (2004)sourceR codeModel selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R functionsourceR codeHow to use the package nsRFA: example 2sourceR code
Vignettes 15
Local and regional analyses with BayesianMCMCsourceR codeFigures 11 and 12 in Griffis and Stedinger (2007)sourceR codeFigure 1 in Elamir and Seheult (2004)sourceR codeModel selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R functionsourceR codeHow to use the package nsRFA: example 2sourceR code
Downloads 9
nsRFA_0.7-17.tar.gznsRFA_0.7-17.zipnsRFA_0.7-17.zipnsRFA_0.7-17.zipnsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA archive
All page links 37
statsgraphicsmethods10.32614/CRAN.package.nsRFAGPL-2GPL-3EnvironmetricsHydrologynsRFA resultsnsRFA.htmlnsRFA.pdfLocal and regional analyses with BayesianMCMCsourceR codeFigures 11 and 12 in Griffis and Stedinger (2007)sourceR codeFigure 1 in Elamir and Seheult (2004)sourceR codeModel selection techniques for the frequency analysis of hydrological extremes: the MSClaio2008 R functionsourceR codeHow to use the package nsRFA: example 2sourceR codensRFA_0.7-17.tar.gznsRFA_0.7-17.zipnsRFA_0.7-17.zipnsRFA_0.7-17.zipnsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA_0.7-17.tgznsRFA archiveeFCMhttps://CRAN.R-project.org/package=nsRFA

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.7-162023-11-132026-05-312026-05-31
CRAN0.7-152020-02-262026-05-312026-05-31
CRAN0.7-142018-06-272026-05-312026-05-31
CRAN0.7-132018-03-192026-05-312026-05-31
CRAN0.7-122014-08-302026-05-312026-05-31
CRAN0.7-112013-12-162026-05-312026-05-31
CRAN0.7-102013-02-132026-05-312026-05-31
CRAN0.7-72012-11-052026-05-312026-05-31
CRAN0.7-42012-07-222026-05-312026-05-31
CRAN0.7-32012-04-042026-05-312026-05-31
CRAN0.7-22011-10-172026-05-312026-05-31
CRAN0.7-12011-03-212026-05-312026-05-31
CRAN0.7-02010-06-012026-05-312026-05-31
CRAN0.6-92009-08-192026-05-312026-05-31
CRAN0.6-82009-04-142026-05-312026-05-31
CRAN0.6-72009-03-262026-05-312026-05-31
CRAN0.6-62009-01-142026-05-312026-05-31
CRAN0.6-42008-12-042026-05-312026-05-31
CRAN0.6-22008-09-192026-05-312026-05-31
CRAN0.6-02008-09-012026-05-312026-05-31
CRAN0.5-82008-08-212026-05-312026-05-31
CRAN0.5-52008-08-062026-05-312026-05-31
CRAN0.5-32008-07-182026-05-312026-05-31
CRAN0.5-22008-04-242026-05-312026-05-31
CRAN0.5-02008-02-292026-05-312026-05-31
CRAN0.4-82008-02-062026-05-312026-05-31
CRAN0.4-72008-01-232026-05-312026-05-31
CRAN0.4-52007-12-112026-05-312026-05-31
CRAN0.4-22007-10-122026-05-312026-05-31
CRAN0.4-02007-08-112026-05-312026-05-31
CRAN0.3-82007-06-282026-05-312026-05-31
CRAN0.3-62007-06-142026-05-312026-05-31
CRAN0.3-42007-05-152026-05-312026-05-31
CRAN0.3-12007-04-112026-05-312026-05-31
CRAN0.3-02007-04-052026-05-312026-05-31
CRAN0.2-02007-02-112026-05-312026-05-31
CRAN0.1-62006-12-152026-05-312026-05-31
CRAN0.7-172026-06-012026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Analysis of Ecological and Environmental Data · 2026-06-04Hydrological Data and Modeling · 2026-06-04