RSNNS

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / RSNNS

RSNNS

v0.4-18
Repository CRANLicense LGPL (>= 2) | file LICENSELifecycle activeNeeds compilation yes
Package pageReferenceSourceDOI
DOI
10.32614/CRAN.package.RSNNS
Task views
Machine Learning & Statistical Learning
Reverse imports
263

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Machine Learning & Statistical Learning
Reverse imports
263

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.4-18
License
LGPL (>= 2) | file LICENSE
Lifecycle
active
Needs compilation
yes
Reverse imports
263
Last observed
2026-06-04
CRAN
cran.r-project.org/package=RSNNS

Build fields

LinkingTo
1
Rcpp

수집 소스별 패키지 정보

1개 소스
CRAN
0.4-18
2026-06-04
License
LGPL (>= 2) | file LICENSE
Depends
R (>= 2.10.0), methods, Rcpp (>= 0.8.5)
Suggests
scatterplot3d,NeuralNetTools,plot3D
LinkingTo
Rcpp
Needs compilation
yes
Reverse imports
263
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 6개
PackageTypeSpec
methods
CRAN · 0.4-18 · 2026-06-04
Dependsmethods
Rcpp
CRAN · 0.4-18 · 2026-06-04
DependsRcpp (>= 0.8.5)
Rcpp
CRAN · 0.4-18 · 2026-06-04
LinkingToRcpp
NeuralNetTools
CRAN · 0.4-18 · 2026-06-04
SuggestsNeuralNetTools
plot3D
CRAN · 0.4-18 · 2026-06-04
Suggestsplot3D
1 / 2

이 패키지를 쓰는 패키지

5개 표시전체 12개
PackageTypeSpec
E2E
0.1.3
CRAN · 2026-06-04
ImportsRSNNS
FRI
1.0
CRAN · 2026-06-04
ImportsRSNNS
noisemodel
1.0.2
CRAN · 2026-06-04
ImportsRSNNS
scanCP
0.1.0
CRAN · 2026-06-04
ImportsRSNNS
semiArtificial
2.4.1
CRAN · 2026-06-04
ImportsRSNNS
1 / 3

Reverse dependency summary

3 types
TypePackages
Imports6
Suggests5
Enhances1

패키지 페이지

Reverse imports
14
Reverse suggests
12
Reverse enhances
2
All links
41
Repository
CRAN
Version
0.4-18
Collected
2026-06-01 18:48:54
Package page
https://cran.r-project.org/web/packages/RSNNS/index.html
DOI
10.32614/CRAN.package.RSNNS
Citation
https://cran.r-project.org/web/packages/RSNNS/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_RSNNS.html
Reference HTML
https://cran.r-project.org/web/packages/RSNNS/refman/RSNNS.html
Reference PDF
https://cran.r-project.org/web/packages/RSNNS/RSNNS.pdf
Source package
https://cran.r-project.org/src/contrib/RSNNS_0.4-18.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/RSNNS
In views
MachineLearning
Page fields
Author
Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)
BugReports
https://github.com/cbergmeir/RSNNS/issues
CRAN Checks
RSNNS results
Citation
RSNNS citation info
Copyright
Original SNNS software Copyright (C) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG; 1996-1998 SNNS Group, WSI, Univ. Tuebingen, FRG. R interface Copyright (C) DiCITS Lab, Sci2s group, DECSAI, University of Granada.
DOI
10.32614/CRAN.package.RSNNS
In Views
MachineLearning
License
LGPL-2 | LGPL-2.1 | LGPL-3 | file LICENSE [expanded from: LGPL (≥ 2) | file LICENSE]
LinkingTo
Rcpp
MailingList
rsnns@googlegroups.com
Maintainer
Christoph Bergmeir <c.bergmeir at decsai.ugr.es>
Materials
ChangeLog
NeedsCompilation
yes
Old Sources
RSNNS archive
Package Source
RSNNS_0.4-18.tar.gz
Published
2026-01-30
Reference Manual
RSNNS.html , RSNNS.pdf
Reverse Enhances
vip
Reverse Imports
DaMiRseq , E2E , FRI , noisemodel , scanCP , semiArtificial , TSPred
Reverse Suggests
caretSDM , FSinR , mistyR , mlr , NeuralNetTools , NeuralSens
URL
https://github.com/cbergmeir/RSNNS
Version
0.4-18
Windows Binaries
r-devel: RSNNS_0.4-18.zip , r-release: RSNNS_0.4-18.zip , r-oldrel: RSNNS_0.4-18.zip
MacOS Binaries
r-release (arm64): RSNNS_0.4-18.tgz , r-oldrel (arm64): RSNNS_0.4-18.tgz , r-release (x86_64): RSNNS_0.4-18.tgz , r-oldrel (x86_64): RSNNS_0.4-18.tgz
Version
0.4-18
LinkingTo
Rcpp
Rcpp
Published
2026-01-30
DOI
10.32614/CRAN.package.RSNNS
10.32614/CRAN.package.RSNNS
Author
Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)
Maintainer
Christoph Bergmeir <c.bergmeir at decsai.ugr.es>
MailingList
rsnns@googlegroups.com
BugReports
https://github.com/cbergmeir/RSNNS/issues
https://github.com/cbergmeir/RSNNS/issues
License
LGPL-2 | LGPL-2.1 | LGPL-3 | file LICENSE [expanded from: LGPL (≥ 2) | file LICENSE]
LGPL-2LGPL-2.1LGPL-3LICENSE
Copyright
Original SNNS software Copyright (C) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG; 1996-1998 SNNS Group, WSI, Univ. Tuebingen, FRG. R interface Copyright (C) DiCITS Lab, Sci2s group, DECSAI, University of Granada.
URL
https://github.com/cbergmeir/RSNNS
https://github.com/cbergmeir/RSNNS
NeedsCompilation
yes
Citation
RSNNS citation info
RSNNS citation info
Materials
ChangeLog
ChangeLog
In Views
MachineLearning
MachineLearning
CRAN Checks
RSNNS results
RSNNS results
Reference Manual
RSNNS.html , RSNNS.pdf
RSNNS.htmlRSNNS.pdf
Package Source
RSNNS_0.4-18.tar.gz
RSNNS_0.4-18.tar.gz
Windows Binaries
r-devel: RSNNS_0.4-18.zip , r-release: RSNNS_0.4-18.zip , r-oldrel: RSNNS_0.4-18.zip
RSNNS_0.4-18.zipRSNNS_0.4-18.zipRSNNS_0.4-18.zip
MacOS Binaries
r-release (arm64): RSNNS_0.4-18.tgz , r-oldrel (arm64): RSNNS_0.4-18.tgz , r-release (x86_64): RSNNS_0.4-18.tgz , r-oldrel (x86_64): RSNNS_0.4-18.tgz
RSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgz
Old Sources
RSNNS archive
RSNNS archive
Reverse Imports
DaMiRseq , E2E , FRI , noisemodel , scanCP , semiArtificial , TSPred
DaMiRseqE2EFRInoisemodelscanCPsemiArtificialTSPred
Reverse Suggests
caretSDM , FSinR , mistyR , mlr , NeuralNetTools , NeuralSens
caretSDMFSinRmistyRmlrNeuralNetToolsNeuralSens
Reverse Enhances
vip
vip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"RSNNS.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/RSNNS/refman/RSNNS.html"},{"label":"RSNNS.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/RSNNS/RSNNS.pdf"}]
Text
Reference manual: RSNNS.html , RSNNS.pdf
Downloads
Heading
Downloads
Links
[{"label":"RSNNS_0.4-18.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/RSNNS_0.4-18.tar.gz"},{"label":"RSNNS_0.4-18.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/RSNNS_0.4-18.zip"},{"label":"RSNNS_0.4-18.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/RSNNS_0.4-18.zip"},{"label":"RSNNS_0.4-18.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/RSNNS_0.4-18.zip"},{"label":"RSNNS_0.4-18.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/RSNNS_0.4-18.tgz"},{"label":"RSNNS_0.4-18.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/RSNNS_0.4-18.tgz"},{"label":"RSNNS_0.4-18.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/RSNNS_0.4-18.tgz"},{"label":"RSNNS_0.4-18.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/RSNNS_0.4-18.tgz"},{"label":"RSNNS archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/RSNNS"}]
Text
Package source: RSNNS_0.4-18.tar.gz Windows binaries: r-devel: RSNNS_0.4-18.zip , r-release: RSNNS_0.4-18.zip , r-oldrel: RSNNS_0.4-18.zip macOS binaries: r-release (arm64): RSNNS_0.4-18.tgz , r-oldrel (arm64): RSNNS_0.4-18.tgz , r-release (x86_64): RSNNS_0.4-18.tgz , r-oldrel (x86_64): RSNNS_0.4-18.tgz Old sources: RSNNS archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"DaMiRseq","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/DaMiRseq.html"},{"label":"E2E","section":"","type":"","url":"https://cran.r-project.org/web/packages/E2E/index.html"},{"label":"FRI","section":"","type":"","url":"https://cran.r-project.org/web/packages/FRI/index.html"},{"label":"noisemodel","section":"","type":"","url":"https://cran.r-project.org/web/packages/noisemodel/index.html"},{"label":"scanCP","section":"","type":"","url":"https://cran.r-project.org/web/packages/scanCP/index.html"},{"label":"semiArtificial","section":"","type":"","url":"https://cran.r-project.org/web/packages/semiArtificial/index.html"},{"label":"TSPred","section":"","type":"","url":"https://cran.r-project.org/web/packages/TSPred/index.html"},{"label":"caretSDM","section":"","type":"","url":"https://cran.r-project.org/web/packages/caretSDM/index.html"},{"label":"FSinR","section":"","type":"","url":"https://cran.r-project.org/web/packages/FSinR/index.html"},{"label":"mistyR","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/mistyR.html"},{"label":"mlr","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr/index.html"},{"label":"NeuralNetTools","section":"","type":"","url":"https://cran.r-project.org/web/packages/NeuralNetTools/index.html"},{"label":"NeuralSens","section":"","type":"","url":"https://cran.r-project.org/web/packages/NeuralSens/index.html"},{"label":"vip","section":"","type":"","url":"https://cran.r-project.org/web/packages/vip/index.html"}]
Text
Reverse imports: DaMiRseq , E2E , FRI , noisemodel , scanCP , semiArtificial , TSPred Reverse suggests: caretSDM , FSinR , mistyR , mlr , NeuralNetTools , NeuralSens Reverse enhances: vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=RSNNS","section":"","type":"","url":"https://CRAN.R-project.org/package=RSNNS"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=RSNNS to link to this page.
Materials 1
ChangeLog
Documentation 2
RSNNS.htmlRSNNS.pdf
Downloads 9
RSNNS_0.4-18.tar.gzRSNNS_0.4-18.zipRSNNS_0.4-18.zipRSNNS_0.4-18.zipRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS archive
All page links 41
methodsRcppscatterplot3dNeuralNetToolsplot3D10.32614/CRAN.package.RSNNShttps://github.com/cbergmeir/RSNNS/issuesLGPL-2LGPL-2.1LGPL-3LICENSEhttps://github.com/cbergmeir/RSNNSRSNNS citation infoChangeLogMachineLearningRSNNS resultsRSNNS.htmlRSNNS.pdfRSNNS_0.4-18.tar.gzRSNNS_0.4-18.zipRSNNS_0.4-18.zipRSNNS_0.4-18.zipRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS_0.4-18.tgzRSNNS archiveDaMiRseqE2EFRInoisemodelscanCPsemiArtificialTSPredcaretSDMFSinRmistyRmlrNeuralSensviphttps://CRAN.R-project.org/package=RSNNS

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.4-172023-11-302026-05-312026-05-31
CRAN0.4-162023-05-092026-05-312026-05-31
CRAN0.4-152023-01-232026-05-312026-05-31
CRAN0.4-142021-08-132026-05-312026-05-31
CRAN0.4-132021-08-092026-05-312026-05-31
CRAN0.4-122019-09-172026-05-312026-05-31
CRAN0.4-112018-08-102026-05-312026-05-31
CRAN0.4-10.12018-08-102026-05-312026-05-31
CRAN0.4-102017-12-102026-05-312026-05-31
CRAN0.4-92016-12-162026-05-312026-05-31
CRAN0.4-72015-06-122026-05-312026-05-31
CRAN0.4-62014-12-222026-05-312026-05-31
CRAN0.4-52014-05-232026-05-312026-05-31
CRAN0.4-42013-12-162026-05-312026-05-31
CRAN0.4-32012-01-102026-05-312026-05-31
CRAN0.4-22011-09-302026-05-312026-05-31
CRAN0.4-12011-07-282026-05-312026-05-31
CRAN0.4-02011-06-212026-05-312026-05-31
CRAN0.3-12010-11-172026-05-312026-05-31
CRAN0.32010-11-152026-05-312026-05-31
CRAN0.4-182026-05-312026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Machine Learning & Statistical Learning · 2026-06-04