surveillance

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / surveillance

surveillance

v1.25.0
Repository CRANLicense GPL-2Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.surveillance
Task views
Analysis of Ecological and Environmental Data, Anomaly Detection, Epidemiology, Handling and Analyzing Spatio-Temporal Data, Time Series Analysis
Reverse imports
100
Reverse depends
54

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Analysis of Ecological and Environmental Data, Anomaly Detection, Epidemiology 외 2
Reverse imports
100
Reverse depends
54

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.25.0
License
GPL-2
Lifecycle
active
Needs compilation
yes
Reverse depends
54
Reverse imports
100
Last observed
2026-06-04
CRAN
cran.r-project.org/package=surveillance

Build fields

LinkingTo
1
polyCub
Enhances
2
xtsggplot2

수집 소스별 패키지 정보

1개 소스
CRAN
1.25.0
2026-06-04
License
GPL-2
Depends
R (>= 3.6.0), methods, grDevices, graphics, stats, utils, sp (>= 2.1-4), xtable (>= 1.7-0)
Imports
polyCub (>= 0.8.0), MASS, Matrix, nlme, spatstat.geom
Suggests
parallel, grid, gridExtra (>= 2.0.0), lattice (>= 0.20-44), colorspace, scales, animation, msm, spc, coda, runjags, INLA, spdep, numDeriv, maxLik, gsl, fanplot, hhh4contacts, quadprog, memoise, polyclip, intervals, splancs, gamlss, MGLM (>= 0.1.0), sf, tinytest (>= 1.4.1), knitr
LinkingTo
polyCub
Enhances
xts, ggplot2
Needs compilation
yes
Reverse depends
54
Reverse imports
100
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 43개
PackageTypeSpec
graphics
CRAN · 1.25.0 · 2026-06-04
Dependsgraphics
grDevices
CRAN · 1.25.0 · 2026-06-04
DependsgrDevices
methods
CRAN · 1.25.0 · 2026-06-04
Dependsmethods
sp
CRAN · 1.25.0 · 2026-06-04
Dependssp (>= 2.1-4)
stats
CRAN · 1.25.0 · 2026-06-04
Dependsstats
1 / 9

이 패키지를 쓰는 패키지

4개 표시전체 4개
PackageTypeSpec
hhh4contacts
0.13.4
CRAN · 2026-06-04
Dependssurveillance (>= 1.14.0)
csalert
2024.6.24
CRAN · 2026-06-04
Importssurveillance
EpiSignalDetection
0.1.3
CRAN · 2026-06-04
Importssurveillance
tscount
1.4.3
CRAN · 2026-06-04
Suggestssurveillance
1 / 1

Reverse dependency summary

3 types
TypePackages
Depends1
Imports2
Suggests1

패키지 페이지

Reverse depends
2
Reverse imports
4
Reverse suggests
2
All links
87
Repository
CRAN
Version
1.25.0
Collected
2026-05-19 03:35:11
Package page
https://cran.r-project.org/web/packages/surveillance/index.html
DOI
10.32614/CRAN.package.surveillance
Citation
https://cran.r-project.org/web/packages/surveillance/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_surveillance.html
README
https://cran.r-project.org/web/packages/surveillance/readme/README.html
NEWS
https://cran.r-project.org/web/packages/surveillance/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/surveillance/refman/surveillance.html
Reference PDF
https://cran.r-project.org/web/packages/surveillance/surveillance.pdf
Source package
https://cran.r-project.org/src/contrib/surveillance_1.25.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/surveillance
In views
AnomalyDetectionEnvironmetricsEpidemiologySpatioTemporalTimeSeries
Page fields
Additional Repositories
https://inla.r-inla-download.org/R/stable/
Author
Michael Hoehle [aut, ths], Sebastian Meyer [aut, cre], Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Sophie Reichert [ctb], Andrea Riebler [ctb], Daniel Sabanes Bove [ctb], Maelle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (src/ks.c and a few code fragments of standard S3 methods)
CRAN Checks
surveillance results
Citation
surveillance citation info
DOI
10.32614/CRAN.package.surveillance
Enhances
xts , ggplot2
In Views
AnomalyDetection , Environmetrics , Epidemiology , SpatioTemporal , TimeSeries
License
GPL-2
LinkingTo
polyCub
Maintainer
Sebastian Meyer <seb.meyer at fau.de>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
surveillance archive
Package Source
surveillance_1.25.0.tar.gz
Published
2025-06-25
Reference Manual
surveillance.html , surveillance.pdf
Reverse Depends
hhh4contacts
Reverse Imports
csalert , EpiSignalDetection
Reverse Suggests
tscount
URL
https://surveillance.R-Forge.R-project.org/
Version
1.25.0
Vignettes
algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic ( source , R code ) hhh4: An endemic-epidemic modelling framework for infectious disease counts ( source , R code ) Getting started with outbreak detection ( source , R code ) hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series ( source , R code ) Monitoring count time series in R: Aberration detection in public health surveillance ( source , R code ) twinSIR: Individual-level epidemic modeling for a fixed population with known distances ( source , R code ) twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns ( source , R code )
Windows Binaries
r-devel: surveillance_1.25.0.zip , r-release: surveillance_1.25.0.zip , r-oldrel: surveillance_1.25.0.zip
MacOS Binaries
r-release (arm64): surveillance_1.25.0.tgz , r-oldrel (arm64): surveillance_1.25.0.tgz , r-release (x86_64): surveillance_1.25.0.tgz , r-oldrel (x86_64): surveillance_1.25.0.tgz
Version
1.25.0
LinkingTo
polyCub
polyCub
Enhances
xts , ggplot2
xtsggplot2
Published
2025-06-25
DOI
10.32614/CRAN.package.surveillance
10.32614/CRAN.package.surveillance
Author
Michael Hoehle [aut, ths], Sebastian Meyer [aut, cre], Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Sophie Reichert [ctb], Andrea Riebler [ctb], Daniel Sabanes Bove [ctb], Maelle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (src/ks.c and a few code fragments of standard S3 methods)
https://orcid.org/0000-0002-0423-6702https://orcid.org/0000-0002-1791-9449https://orcid.org/0000-0002-8686-5325https://ror.org/02zz1nj61
Maintainer
Sebastian Meyer <seb.meyer at fau.de>
License
GPL-2
GPL-2
URL
https://surveillance.R-Forge.R-project.org/
https://surveillance.R-Forge.R-project.org/
NeedsCompilation
yes
Additional Repositories
https://inla.r-inla-download.org/R/stable/
https://inla.r-inla-download.org/R/stable/
Citation
surveillance citation info
surveillance citation info
Materials
README , NEWS
READMENEWS
In Views
AnomalyDetection , Environmetrics , Epidemiology , SpatioTemporal , TimeSeries
AnomalyDetectionEnvironmetricsEpidemiologySpatioTemporalTimeSeries
CRAN Checks
surveillance results
surveillance results
Reference Manual
surveillance.html , surveillance.pdf
surveillance.htmlsurveillance.pdf
Vignettes
algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic ( source , R code ) hhh4: An endemic-epidemic modelling framework for infectious disease counts ( source , R code ) Getting started with outbreak detection ( source , R code ) hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series ( source , R code ) Monitoring count time series in R: Aberration detection in public health surveillance ( source , R code ) twinSIR: Individual-level epidemic modeling for a fixed population with known distances ( source , R code ) twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns ( source , R code )
algo.glrnb: Count data regression charts using the generalized likelihood ratio ...sourceR codehhh4: An endemic-epidemic modelling framework for infectious disease countssourceR codeGetting started with outbreak detectionsourceR codehhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time seriessourceR codeMonitoring count time series in R: Aberration detection in public health surveil...sourceR codetwinSIR: Individual-level epidemic modeling for a fixed population with known di...sourceR codetwinstim: An endemic-epidemic modeling framework for spatio-temporal point patte...source
Package Source
surveillance_1.25.0.tar.gz
surveillance_1.25.0.tar.gz
Windows Binaries
r-devel: surveillance_1.25.0.zip , r-release: surveillance_1.25.0.zip , r-oldrel: surveillance_1.25.0.zip
surveillance_1.25.0.zipsurveillance_1.25.0.zipsurveillance_1.25.0.zip
MacOS Binaries
r-release (arm64): surveillance_1.25.0.tgz , r-oldrel (arm64): surveillance_1.25.0.tgz , r-release (x86_64): surveillance_1.25.0.tgz , r-oldrel (x86_64): surveillance_1.25.0.tgz
surveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgz
Old Sources
surveillance archive
surveillance archive
Reverse Depends
hhh4contacts
hhh4contacts
Reverse Imports
csalert , EpiSignalDetection
csalertEpiSignalDetection
Reverse Suggests
tscount
tscount
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"surveillance.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/refman/surveillance.html"},{"label":"surveillance.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/surveillance.pdf"},{"label":"algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/glrnb.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/glrnb.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/glrnb.R"},{"label":"hhh4: An endemic-epidemic modelling framework for infectious disease counts","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4.R"},{"label":"Getting started with outbreak detection","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/surveillance.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/surveillance.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/surveillance.R"},{"label":"hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4_spacetime.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4_spacetime.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/hhh4_spacetime.R"},{"label":"Monitoring count time series in R: Aberration detection in public health surveillance","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/monitoringCounts.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/monitoringCounts.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/monitoringCounts.R"},{"label":"twinSIR: Individual-level epidemic modeling for a fixed population with known distances","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/twinSIR.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/twinSIR.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/surveillance/vignettes/twinSIR.R"}]
Text
Reference manual: surveillance.html , surveillance.pdf Vignettes: algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic ( source , R code ) hhh4: An endemic-epidemic modelling framework for infectious disease counts ( source , R code ) Getting started with outbreak detection ( source , R code ) hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series ( source , R code ) Monitoring count time series in R: Aberration detection in public health surveillance ( source , R code ) twinSIR: Individual-level epidemic modeling for a fixed population with known distances ( source , R code ) twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"surveillance_1.25.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/surveillance_1.25.0.tar.gz"},{"label":"surveillance_1.25.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/surveillance_1.25.0.zip"},{"label":"surveillance_1.25.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/surveillance_1.25.0.zip"},{"label":"surveillance_1.25.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/surveillance_1.25.0.zip"},{"label":"surveillance_1.25.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/surveillance_1.25.0.tgz"},{"label":"surveillance_1.25.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/surveillance_1.25.0.tgz"},{"label":"surveillance_1.25.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/surveillance_1.25.0.tgz"},{"label":"surveillance_1.25.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/surveillance_1.25.0.tgz"},{"label":"surveillance archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/surveillance"}]
Text
Package source: surveillance_1.25.0.tar.gz Windows binaries: r-devel: surveillance_1.25.0.zip , r-release: surveillance_1.25.0.zip , r-oldrel: surveillance_1.25.0.zip macOS binaries: r-release (arm64): surveillance_1.25.0.tgz , r-oldrel (arm64): surveillance_1.25.0.tgz , r-release (x86_64): surveillance_1.25.0.tgz , r-oldrel (x86_64): surveillance_1.25.0.tgz Old sources: surveillance archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"hhh4contacts","section":"","type":"","url":"https://cran.r-project.org/web/packages/hhh4contacts/index.html"},{"label":"csalert","section":"","type":"","url":"https://cran.r-project.org/web/packages/csalert/index.html"},{"label":"EpiSignalDetection","section":"","type":"","url":"https://cran.r-project.org/web/packages/EpiSignalDetection/index.html"},{"label":"tscount","section":"","type":"","url":"https://cran.r-project.org/web/packages/tscount/index.html"}]
Text
Reverse depends: hhh4contacts Reverse imports: csalert , EpiSignalDetection Reverse suggests: tscount
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=surveillance","section":"","type":"","url":"https://CRAN.R-project.org/package=surveillance"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=surveillance to link to this page.
Materials 2
READMENEWS
Documentation 23
surveillance.htmlsurveillance.pdfalgo.glrnb: Count data regression charts using the generalized likelihood ratio statisticsourceR codehhh4: An endemic-epidemic modelling framework for infectious disease countssourceR codeGetting started with outbreak detectionsourceR codehhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time seriessourceR codeMonitoring count time series in R: Aberration detection in public health surveillancesourceR codetwinSIR: Individual-level epidemic modeling for a fixed population with known distancessourceR codetwinstim: An endemic-epidemic modeling framework for spatio-temporal point patternssourceR code
Vignettes 21
algo.glrnb: Count data regression charts using the generalized likelihood ratio statisticsourceR codehhh4: An endemic-epidemic modelling framework for infectious disease countssourceR codeGetting started with outbreak detectionsourceR codehhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time seriessourceR codeMonitoring count time series in R: Aberration detection in public health surveillancesourceR codetwinSIR: Individual-level epidemic modeling for a fixed population with known distancessourceR codetwinstim: An endemic-epidemic modeling framework for spatio-temporal point patternssourceR code
Downloads 9
surveillance_1.25.0.tar.gzsurveillance_1.25.0.zipsurveillance_1.25.0.zipsurveillance_1.25.0.zipsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance archive
All page links 87
methodsgrDevicesgraphicsstatsutilsspxtablepolyCubMASSMatrixnlmespatstat.geomparallelgridgridExtralatticecolorspacescalesanimationmsmspccodarunjagsspdepnumDerivmaxLikgslfanplothhh4contactsquadprogmemoisepolyclipxtsggplot210.32614/CRAN.package.surveillancehttps://orcid.org/0000-0002-0423-6702https://orcid.org/0000-0002-1791-9449https://orcid.org/0000-0002-8686-5325https://ror.org/02zz1nj61GPL-2https://surveillance.R-Forge.R-project.org/https://inla.r-inla-download.org/R/stable/surveillance citation infoREADMENEWSAnomalyDetectionEnvironmetricsEpidemiologySpatioTemporalTimeSeriessurveillance resultssurveillance.htmlsurveillance.pdfalgo.glrnb: Count data regression charts using the generalized likelihood ratio statisticsourceR codehhh4: An endemic-epidemic modelling framework for infectious disease countssourceR codeGetting started with outbreak detectionsourceR codehhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time seriessourceR codeMonitoring count time series in R: Aberration detection in public health surveillancesourceR codetwinSIR: Individual-level epidemic modeling for a fixed population with known distancessourceR codetwinstim: An endemic-epidemic modeling framework for spatio-temporal point patternssourcesurveillance_1.25.0.tar.gzsurveillance_1.25.0.zipsurveillance_1.25.0.zipsurveillance_1.25.0.zipsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance_1.25.0.tgzsurveillance archivecsalertEpiSignalDetectiontscountR codehttps://CRAN.R-project.org/package=surveillance

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.24.12024-11-052026-05-312026-05-31
CRAN1.24.02024-10-012026-05-312026-05-31
CRAN1.23.12024-09-022026-05-312026-05-31
CRAN1.23.02024-05-042026-05-312026-05-31
CRAN1.22.12023-11-282026-05-312026-05-31
CRAN1.22.02023-10-302026-05-312026-05-31
CRAN1.21.12023-05-192026-05-312026-05-31
CRAN1.21.02023-03-152026-05-312026-05-31
CRAN1.20.32022-11-162026-05-312026-05-31
CRAN1.20.12022-07-192026-05-312026-05-31
CRAN1.20.02022-02-162026-05-312026-05-31
CRAN1.19.12021-03-312026-05-312026-05-31
CRAN1.19.02021-01-302026-05-312026-05-31
CRAN1.18.02020-03-192026-05-312026-05-31
CRAN1.17.32019-12-162026-05-312026-05-31
CRAN1.17.22019-11-122026-05-312026-05-31
CRAN1.17.12019-09-132026-05-312026-05-31
CRAN1.17.02019-02-222026-05-312026-05-31
CRAN1.16.22018-07-252026-05-312026-05-31
CRAN1.16.12018-05-292026-05-312026-05-31
CRAN1.16.02018-01-232026-05-312026-05-31
CRAN1.15.02017-10-062026-05-312026-05-31
CRAN1.14.02017-06-302026-05-312026-05-31
CRAN1.13.12017-04-292026-05-312026-05-31
CRAN1.13.02016-12-202026-05-312026-05-31
CRAN1.12.22016-11-172026-05-312026-05-31
CRAN1.12.12016-05-182026-05-312026-05-31
CRAN1.12.02016-04-032026-05-312026-05-31
CRAN1.11.02016-02-092026-05-312026-05-31
CRAN1.10-02015-11-062026-05-312026-05-31
CRAN1.9-12015-06-122026-05-312026-05-31
CRAN1.9-02015-06-112026-05-312026-05-31
CRAN1.8-32015-01-062026-05-312026-05-31
CRAN1.8-22014-12-202026-05-312026-05-31
CRAN1.8-12014-10-302026-05-312026-05-31
CRAN1.8-02014-06-172026-05-312026-05-31
CRAN1.7-02013-11-192026-05-312026-05-31
CRAN1.6-02013-09-092026-05-312026-05-31
CRAN1.5-42013-04-212026-05-312026-05-31
CRAN1.5-22013-03-192026-05-312026-05-31
CRAN1.5-12012-12-142026-05-312026-05-31
CRAN1.5-02012-12-122026-05-312026-05-31
CRAN1.4-22012-08-202026-05-312026-05-31
CRAN1.4-12012-07-262026-05-312026-05-31
CRAN1.2-12012-01-152026-05-312026-05-31
CRAN1.1-62010-05-252026-05-312026-05-31
CRAN1.1-22009-10-152026-05-312026-05-31
CRAN1.0-22009-03-062026-05-312026-05-31
CRAN0.9-92008-01-212026-05-312026-05-31
CRAN0.9-82008-01-192026-05-312026-05-31
CRAN0.9-72007-11-182026-05-312026-05-31
CRAN0.9-62007-06-252026-05-312026-05-31
CRAN0.9-22006-09-052026-05-312026-05-31
CRAN0.9-12005-11-212026-05-312026-05-31
CRAN0.92005-11-182026-05-312026-05-31
CRAN1.25.02026-06-012026-06-04

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Analysis of Ecological and Environmental Data · 2026-06-04Anomaly Detection · 2026-06-04Epidemiology · 2026-06-04Handling and Analyzing Spatio-Temporal Data · 2026-06-04Time Series Analysis · 2026-06-04