forecast

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / forecast

forecast

v9.0.2
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.forecast
Task views
Analysis of Ecological and Environmental Data, Econometrics, Empirical Finance, Missing Data, Time Series Analysis
Reverse imports
7,393
Reverse depends
1,232

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Analysis of Ecological and Environmental Data, Econometrics, Empirical Finance 외 2
Reverse imports
7,393
Reverse depends
1,232

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
9.0.2
License
GPL-3
Lifecycle
active
Needs compilation
yes
Reverse depends
1,232
Reverse imports
7,393
Last observed
2026-06-04
CRAN
cran.r-project.org/package=forecast

Build fields

LinkingTo
2
Rcpp (>= 0.12.4)RcppArmadillo (>= 0.2.35)

수집 소스별 패키지 정보

1개 소스
CRAN
9.0.2
2026-06-04
License
GPL-3
Depends
R (>= 4.1.0)
Imports
colorspace, fracdiff, generics (>= 0.1.2), ggplot2 (>= 3.4.0), graphics, lmtest, magrittr, nnet, parallel, Rcpp (>= 0.12.4), stats, timeDate, urca, withr, zoo
Suggests
forecTheta, knitr, methods, rmarkdown, rticles, scales, seasonal, testthat (>= 3.3.0), uroot
LinkingTo
Rcpp (>= 0.12.4), RcppArmadillo (>= 0.2.35)
Needs compilation
yes
Reverse depends
1,232
Reverse imports
7,393
Lifecycle
active
Last observed
2026-06-04 01:07:22

이 패키지가 의존하는 패키지

5개 표시전체 26개
PackageTypeSpec
colorspace
CRAN · 9.0.2 · 2026-06-04
Importscolorspace
fracdiff
CRAN · 9.0.2 · 2026-06-04
Importsfracdiff
generics
CRAN · 9.0.2 · 2026-06-04
Importsgenerics (>= 0.1.2)
ggplot2
CRAN · 9.0.2 · 2026-06-04
Importsggplot2 (>= 3.4.0)
graphics
CRAN · 9.0.2 · 2026-06-04
Importsgraphics
1 / 6

이 패키지를 쓰는 패키지

5개 표시전체 120개
PackageTypeSpec
ARIMAANN
0.1.0
CRAN · 2026-06-04
Dependsforecast
BayesARIMAX
0.1.1
CRAN · 2026-05-14
Dependsforecast
demography
2.0.1
CRAN · 2026-06-04
Dependsforecast (>= 8.5)
dendrometeR
1.1.1
CRAN · 2026-06-04
Dependsforecast
DIMORA
0.3.6
CRAN · 2026-06-04
Dependsforecast
1 / 24

Reverse dependency summary

4 types
TypePackages
Depends25
Imports147
Suggests45
Enhances2

패키지 페이지

Reverse depends
48
Reverse imports
294
Reverse suggests
88
Reverse enhances
4
All links
279
Repository
CRAN
Version
9.0.2
Collected
2026-05-24 19:28:23
Package page
https://cran.r-project.org/web/packages/forecast/index.html
DOI
10.32614/CRAN.package.forecast
Citation
https://cran.r-project.org/web/packages/forecast/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_forecast.html
README
https://cran.r-project.org/web/packages/forecast/readme/README.html
NEWS
https://cran.r-project.org/web/packages/forecast/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/forecast/refman/forecast.html
Reference PDF
https://cran.r-project.org/web/packages/forecast/forecast.pdf
Source package
https://cran.r-project.org/src/contrib/forecast_9.0.2.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/forecast
In views
EconometricsEnvironmetricsFinanceMissingDataTimeSeries
Page fields
Author
Rob Hyndman [aut, cre, cph], George Athanasopoulos [aut], Christoph Bergmeir [aut], Gabriel Caceres [aut], Leanne Chhay [aut], Kirill Kuroptev [aut], Maximilian Mücke [aut], Mitchell O'Hara-Wild [aut], Fotios Petropoulos [aut], Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut], Federico Garza [ctb], Daniele Girolimetto [ctb], Ross Ihaka [ctb, cph], R Core Team [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb], Xiaoqian Wang [ctb], Zhenyu Zhou [ctb]
BugReports
https://github.com/robjhyndman/forecast/issues
CRAN Checks
forecast results
Citation
forecast citation info
DOI
10.32614/CRAN.package.forecast
In Views
Econometrics , Environmetrics , Finance , MissingData , TimeSeries
License
GPL-3
LinkingTo
Rcpp (≥ 0.12.4), RcppArmadillo (≥ 0.2.35)
Maintainer
Rob Hyndman <Rob.Hyndman at monash.edu>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
forecast archive
Package Source
forecast_9.0.2.tar.gz
Published
2026-03-18
Reference Manual
forecast.html , forecast.pdf
Reverse Depends
ARIMAANN , demography , dendrometeR , DIMORA , Dowd , ECTTDNN , EMDANNhybrid , expsmooth , fma , forecastHybrid , forecTheta , ftsa , garma , hdftsa , hts , MAPA , Mcomp , Rlgt , Rssa , StMoMo , THETASVM , thief , TSSVM , ZRA
Reverse Enhances
greybox , texreg
Reverse Imports
actfts , ACV , AEDForecasting , AFR , AriGaMyANNSVR , armaOptions , ArvindSt , ATAforecasting , AutoAds , AutoNN , autostsm , autoTS , bayesforecast , betaARMA , beyondWhittle , bfast , bmgarch , boiwsa , BrazilCrime , bridgr , caretForecast , CausalMBSTS , CEEMDANML , chopper , clmplus , coconots , compIndexBuilder , conformalForecast , ConsReg , cricketr , CvmortalityMult , decompML , decomposedPSF , demofit , demor , dendRoAnalyst , doBy , dsa , EcoMetrics , ecorisk , eemdARIMA , EEMDelm , eemdTDNN , epicasting , EQUALrepeat , estadistica , EWSmethods , EXPAR , EXPARMA , fDMA , forecasteR , forecastLSW , ForeComp , fpp2 , fracARMA , globaltrends , gratis , grattan , harbinger , HDTSA , hpiR , hybridts , iClick , idionomics , imputeTestbench , imputeTS , InterNL , its.analysis , KarsTS , knnp , kssa , lfl , lineartestr , matman , midasr , ModalForecast , modeltime , MortalityGaps , mrf , MSGARCHelm , narfima , netseer , ngboostForecast , nnfor , nortsTest , OBL , outliers.ts.oga , paramsim , PH1XBAR , popstudy , PortalHacienda , portalr , portes , predtoolsTS , PrInCE , RcmdrPlugin.RiskDemo , rcrimeanalysis , ReSurv , SBAGM , ScottKnottESD , seastests , seer , shinyTempSignal , spduration , stlARIMA , stlELM , stlTDNN , stR , sweep , TCIU , Tcomp , timetk , toscca , trendtestR , TSANN , tsaux , tsBSS , tscv , tsDyn , TSF , tsfeatures , tsforecast , tsoutliers , TSPred , tspredit , tsSelect , tssim , TSstudio , tsutils , tsviz , tswge , Tushare , ubair , uotm , utsf , VMDML , vmdTDNN , WaveletANN , WaveletArima , WaveletETS , WaveletGARCH , WaveletML , WaveletRF , WaveletSVR , WaveST , wired , WRTDStidal
Reverse Suggests
AER , bayesRecon , COINT , corset , dlookr , dplR , epimdr , epimdr2 , equatiomatic , fable , fableCount , fChange , FinanceGraphs , flap , fracdiff , GACE , ggfortify , healthyR.ts , highcharter , htsDegenerateR , ICompELM , iForecast , ivx , lazybar , lifecontingencies , MARSS , mFilter , mlr , nullabor , origami , pander , performance , pmml , PSF , rainbow , Rbearcat , riem , sarima , setartree , shapr , tactile , trajectories , tsbox , vctsfr
URL
https://pkg.robjhyndman.com/forecast/ , https://github.com/robjhyndman/forecast
Version
9.0.2
Vignettes
Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008) ( source , R code )
Windows Binaries
r-devel: forecast_9.0.2.zip , r-release: forecast_9.0.2.zip , r-oldrel: forecast_9.0.2.zip
MacOS Binaries
r-release (arm64): forecast_9.0.2.tgz , r-oldrel (arm64): forecast_9.0.2.tgz , r-release (x86_64): forecast_9.0.2.tgz , r-oldrel (x86_64): forecast_9.0.2.tgz
Version
9.0.2
LinkingTo
Rcpp (≥ 0.12.4), RcppArmadillo (≥ 0.2.35)
RcppRcppArmadillo
Published
2026-03-18
DOI
10.32614/CRAN.package.forecast
10.32614/CRAN.package.forecast
Author
Rob Hyndman [aut, cre, cph], George Athanasopoulos [aut], Christoph Bergmeir [aut], Gabriel Caceres [aut], Leanne Chhay [aut], Kirill Kuroptev [aut], Maximilian Mücke [aut], Mitchell O'Hara-Wild [aut], Fotios Petropoulos [aut], Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut], Federico Garza [ctb], Daniele Girolimetto [ctb], Ross Ihaka [ctb, cph], R Core Team [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb], Xiaoqian Wang [ctb], Zhenyu Zhou [ctb]
https://orcid.org/0000-0002-2140-5352https://orcid.org/0000-0002-5389-2802https://orcid.org/0000-0002-3665-9021https://orcid.org/0000-0002-2947-2023https://orcid.org/0009-0000-9432-9795https://orcid.org/0000-0001-6729-7695https://orcid.org/0000-0003-3039-4955https://orcid.org/0000-0001-6448-5260https://orcid.org/0000-0002-1479-5401https://orcid.org/0000-0001-5243-233X
Maintainer
Rob Hyndman <Rob.Hyndman at monash.edu>
BugReports
https://github.com/robjhyndman/forecast/issues
https://github.com/robjhyndman/forecast/issues
License
GPL-3
GPL-3
URL
https://pkg.robjhyndman.com/forecast/ , https://github.com/robjhyndman/forecast
https://pkg.robjhyndman.com/forecast/https://github.com/robjhyndman/forecast
NeedsCompilation
yes
Citation
forecast citation info
forecast citation info
Materials
README , NEWS
READMENEWS
In Views
Econometrics , Environmetrics , Finance , MissingData , TimeSeries
EconometricsEnvironmetricsFinanceMissingDataTimeSeries
CRAN Checks
forecast results
forecast results
Reference Manual
forecast.html , forecast.pdf
forecast.htmlforecast.pdf
Vignettes
Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008) ( source , R code )
Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandak...sourceR code
Package Source
forecast_9.0.2.tar.gz
forecast_9.0.2.tar.gz
Windows Binaries
r-devel: forecast_9.0.2.zip , r-release: forecast_9.0.2.zip , r-oldrel: forecast_9.0.2.zip
forecast_9.0.2.zipforecast_9.0.2.zipforecast_9.0.2.zip
MacOS Binaries
r-release (arm64): forecast_9.0.2.tgz , r-oldrel (arm64): forecast_9.0.2.tgz , r-release (x86_64): forecast_9.0.2.tgz , r-oldrel (x86_64): forecast_9.0.2.tgz
forecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgz
Old Sources
forecast archive
forecast archive
Reverse Depends
ARIMAANN , demography , dendrometeR , DIMORA , Dowd , ECTTDNN , EMDANNhybrid , expsmooth , fma , forecastHybrid , forecTheta , ftsa , garma , hdftsa , hts , MAPA , Mcomp , Rlgt , Rssa , StMoMo , THETASVM , thief , TSSVM , ZRA
ARIMAANNdemographydendrometeRDIMORADowdECTTDNNEMDANNhybridexpsmoothfmaforecastHybridforecThetaftsagarmahdftsahtsMAPAMcompRlgtRssaStMoMo
Reverse Imports
actfts , ACV , AEDForecasting , AFR , AriGaMyANNSVR , armaOptions , ArvindSt , ATAforecasting , AutoAds , AutoNN , autostsm , autoTS , bayesforecast , betaARMA , beyondWhittle , bfast , bmgarch , boiwsa , BrazilCrime , bridgr , caretForecast , CausalMBSTS , CEEMDANML , chopper , clmplus , coconots , compIndexBuilder , conformalForecast , ConsReg , cricketr , CvmortalityMult , decompML , decomposedPSF , demofit , demor , dendRoAnalyst , doBy , dsa , EcoMetrics , ecorisk , eemdARIMA , EEMDelm , eemdTDNN , epicasting , EQUALrepeat , estadistica , EWSmethods , EXPAR , EXPARMA , fDMA , forecasteR , forecastLSW , ForeComp , fpp2 , fracARMA , globaltrends , gratis , grattan , harbinger , HDTSA , hpiR , hybridts , iClick , idionomics , imputeTestbench , imputeTS , InterNL , its.analysis , KarsTS , knnp , kssa , lfl , lineartestr , matman , midasr , ModalForecast , modeltime , MortalityGaps , mrf , MSGARCHelm , narfima , netseer , ngboostForecast , nnfor , nortsTest , OBL , outliers.ts.oga , paramsim , PH1XBAR , popstudy , PortalHacienda , portalr , portes , predtoolsTS , PrInCE , RcmdrPlugin.RiskDemo , rcrimeanalysis , ReSurv , SBAGM , ScottKnottESD , seastests , seer , shinyTempSignal , spduration , stlARIMA , stlELM , stlTDNN , stR , sweep , TCIU , Tcomp , timetk , toscca , trendtestR , TSANN , tsaux , tsBSS , tscv , tsDyn , TSF , tsfeatures , tsforecast , tsoutliers , TSPred , tspredit , tsSelect , tssim , TSstudio , tsutils , tsviz , tswge , Tushare , ubair , uotm , utsf , VMDML , vmdTDNN , WaveletANN , WaveletArima , WaveletETS , WaveletGARCH , WaveletML , WaveletRF , WaveletSVR , WaveST , wired , WRTDStidal
actftsACVAEDForecastingAFRAriGaMyANNSVRarmaOptionsArvindStATAforecastingAutoAdsAutoNNautostsmautoTSbayesforecastbetaARMAbeyondWhittlebfastbmgarchboiwsaBrazilCrimebridgr
Reverse Suggests
AER , bayesRecon , COINT , corset , dlookr , dplR , epimdr , epimdr2 , equatiomatic , fable , fableCount , fChange , FinanceGraphs , flap , fracdiff , GACE , ggfortify , healthyR.ts , highcharter , htsDegenerateR , ICompELM , iForecast , ivx , lazybar , lifecontingencies , MARSS , mFilter , mlr , nullabor , origami , pander , performance , pmml , PSF , rainbow , Rbearcat , riem , sarima , setartree , shapr , tactile , trajectories , tsbox , vctsfr
AERbayesReconCOINTcorsetdlookrdplRepimdrepimdr2equatiomaticfablefableCountfChangeFinanceGraphsflapfracdiffGACEggfortifyhealthyR.tshighcharterhtsDegenerateR
Reverse Enhances
greybox , texreg
greyboxtexreg
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"forecast.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecast/refman/forecast.html"},{"label":"forecast.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecast/forecast.pdf"},{"label":"Automatic Time Series Forecasting: the forecast Package for R (Hyndman \u0026 Khandakar, JSS 2008)","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecast/vignettes/JSS2008.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecast/vignettes/JSS2008.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecast/vignettes/JSS2008.R"}]
Text
Reference manual: forecast.html , forecast.pdf Vignettes: Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008) ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"forecast_9.0.2.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/forecast_9.0.2.tar.gz"},{"label":"forecast_9.0.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/forecast_9.0.2.zip"},{"label":"forecast_9.0.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/forecast_9.0.2.zip"},{"label":"forecast_9.0.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/forecast_9.0.2.zip"},{"label":"forecast_9.0.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/forecast_9.0.2.tgz"},{"label":"forecast_9.0.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/forecast_9.0.2.tgz"},{"label":"forecast_9.0.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/forecast_9.0.2.tgz"},{"label":"forecast_9.0.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/forecast_9.0.2.tgz"},{"label":"forecast archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/forecast"}]
Text
Package source: forecast_9.0.2.tar.gz Windows binaries: r-devel: forecast_9.0.2.zip , r-release: forecast_9.0.2.zip , r-oldrel: forecast_9.0.2.zip macOS binaries: r-release (arm64): forecast_9.0.2.tgz , r-oldrel (arm64): forecast_9.0.2.tgz , r-release (x86_64): forecast_9.0.2.tgz , r-oldrel (x86_64): forecast_9.0.2.tgz Old sources: forecast archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"ARIMAANN","section":"","type":"","url":"https://cran.r-project.org/web/packages/ARIMAANN/index.html"},{"label":"demography","section":"","type":"","url":"https://cran.r-project.org/web/packages/demography/index.html"},{"label":"dendrometeR","section":"","type":"","url":"https://cran.r-project.org/web/packages/dendrometeR/index.html"},{"label":"DIMORA","section":"","type":"","url":"https://cran.r-project.org/web/packages/DIMORA/index.html"},{"label":"Dowd","section":"","type":"","url":"https://cran.r-project.org/web/packages/Dowd/index.html"},{"label":"ECTTDNN","section":"","type":"","url":"https://cran.r-project.org/web/packages/ECTTDNN/index.html"},{"label":"EMDANNhybrid","section":"","type":"","url":"https://cran.r-project.org/web/packages/EMDANNhybrid/index.html"},{"label":"expsmooth","section":"","type":"","url":"https://cran.r-project.org/web/packages/expsmooth/index.html"},{"label":"fma","section":"","type":"","url":"https://cran.r-project.org/web/packages/fma/index.html"},{"label":"forecastHybrid","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecastHybrid/index.html"},{"label":"forecTheta","section":"","type":"","url":"https://cran.r-project.org/web/packages/forecTheta/index.html"},{"label":"ftsa","section":"","type":"","url":"https://cran.r-project.org/web/packages/ftsa/index.html"},{"label":"garma","section":"","type":"","url":"https://cran.r-project.org/web/packages/garma/index.html"},{"label":"hdftsa","section":"","type":"","url":"https://cran.r-project.org/web/packages/hdftsa/index.html"},{"label":"hts","section":"","type":"","url":"https://cran.r-project.org/web/packages/hts/index.html"},{"label":"MAPA","section":"","type":"","url":"https://cran.r-project.org/web/packages/MAPA/index.html"},{"label":"Mcomp","section":"","type":"","url":"https://cran.r-project.org/web/packages/Mcomp/index.html"},{"label":"Rlgt","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rlgt/index.html"},{"label":"Rssa","section":"","type":"","url":"https://cran.r-project.org/web/packages/Rssa/index.html"},{"label":"StMoMo","section":"","type":"","url":"https://cran.r-project.org/web/packages/StMoMo/index.html"}]
Text
Reverse depends: ARIMAANN , demography , dendrometeR , DIMORA , Dowd , ECTTDNN , EMDANNhybrid , expsmooth , fma , forecastHybrid , forecTheta , ftsa , garma , hdftsa , hts , MAPA , Mcomp , Rlgt , Rssa , StMoMo , THETASVM , thief , TSSVM , ZRA Reverse imports: actfts , ACV , AEDForecasting , AFR , AriGaMyANNSVR , armaOptions , ArvindSt , ATAforecasting , AutoAds , AutoNN , autostsm , autoTS , bayesforecast , betaARMA , beyondWhittle , bfast , bmgarch , boiwsa , BrazilCrime , bridgr , caretForecast , CausalMBSTS , CEEMDANML , chopper , clmplus , coconots , compIndexBuilder , conformalForecast , ConsReg , cricketr , CvmortalityMult , decompML , decomposedPSF , demofit , demor , dendRoAnalyst , doBy , dsa , EcoMetrics , ecorisk , eemdARIMA , EEMDelm , eemdTDNN , epicasting , EQUALrepeat , estadistica , EWSmethods , EXPAR , EXPARMA , fDMA , forecasteR , forecastLSW , ForeComp , fpp2 , fracARMA , globaltrends , gratis , grattan , harbinger , HDTSA , hpiR , hybridts , iClick , idionomics , imputeTestbench , imputeTS , InterNL , its.analysis , KarsTS , knnp , kssa , lfl , lineartestr , matman , midasr , ModalForecast , modeltime , MortalityGaps , mrf , MSGARCHelm , narfima , netseer , ngboostForecast , nnfor , nortsTest , OBL , outliers.ts.oga , paramsim , PH1XBAR , popstudy , PortalHacienda , portalr , portes , predtoolsTS , PrInCE , RcmdrPlugin.RiskDemo , rcrimeanalysis , ReSurv , SBAGM , ScottKnottESD , seastests , seer , shinyTempSignal , spduration , stlARIMA , stlELM , stlTDNN , stR , sweep , TCIU , Tcomp , timetk , toscca , trendtestR , TSANN , tsaux , tsBSS , tscv , tsDyn , TSF , tsfeatures , tsforecast , tsoutliers , TSPred , tspredit , tsSelect , tssim , TSstudio , tsutils , tsviz , tswge , Tushare , ubair , uotm , utsf , VMDML , vmdTDNN , WaveletANN , WaveletArima , WaveletETS , WaveletGARCH , WaveletML , WaveletRF , WaveletSVR , WaveST , wired , WRTDStidal Reverse suggests: AER , bayesRecon , COINT , corset , dlookr , dplR , epimdr , epimdr2 , equatiomatic , fab
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=forecast","section":"","type":"","url":"https://CRAN.R-project.org/package=forecast"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=forecast to link to this page.
Materials 2
READMENEWS
Documentation 5
forecast.htmlforecast.pdfAutomatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008)sourceR code
Vignettes 3
Automatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008)sourceR code
Downloads 9
forecast_9.0.2.tar.gzforecast_9.0.2.zipforecast_9.0.2.zipforecast_9.0.2.zipforecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgzforecast archive
All page links 120
colorspacefracdiffgenericsggplot2graphicslmtestmagrittrnnetparallelRcppstatstimeDateurcawithrzooRcppArmadilloforecThetaknitrmethodsrmarkdownrticlesscalesseasonaltestthaturoot10.32614/CRAN.package.forecasthttps://orcid.org/0000-0002-2140-5352https://orcid.org/0000-0002-5389-2802https://orcid.org/0000-0002-3665-9021https://orcid.org/0000-0002-2947-2023https://orcid.org/0009-0000-9432-9795https://orcid.org/0000-0001-6729-7695https://orcid.org/0000-0003-3039-4955https://orcid.org/0000-0001-6448-5260https://orcid.org/0000-0002-1479-5401https://orcid.org/0000-0001-5243-233Xhttps://github.com/robjhyndman/forecast/issuesGPL-3https://pkg.robjhyndman.com/forecast/https://github.com/robjhyndman/forecastforecast citation infoREADMENEWSEconometricsEnvironmetricsFinanceMissingDataTimeSeriesforecast resultsforecast.htmlforecast.pdfAutomatic Time Series Forecasting: the forecast Package for R (Hyndman & Khandakar, JSS 2008)sourceR codeforecast_9.0.2.tar.gzforecast_9.0.2.zipforecast_9.0.2.zipforecast_9.0.2.zipforecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgzforecast_9.0.2.tgzforecast archiveARIMAANNdemographydendrometeRDIMORADowdECTTDNNEMDANNhybridexpsmoothfmaforecastHybridftsagarmahdftsahtsMAPAMcompRlgtRssaStMoMoactftsACVAEDForecastingAFRAriGaMyANNSVRarmaOptionsArvindStATAforecastingAutoAdsAutoNNautostsmautoTSbayesforecastbetaARMAbeyondWhittlebfastbmgarchboiwsaBrazilCrimebridgrAERbayesReconCOINTcorsetdlookrdplRepimdrepimdr2equatiomaticfablefableCountfChangeFinanceGraphsflapGACEggfortifyhealthyR.tshighcharter

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN9.0.12026-02-142026-05-312026-05-31
CRAN9.0.02026-01-112026-05-312026-05-31
CRAN8.24.02025-04-082026-05-312026-05-31
CRAN8.23.02024-06-202026-05-312026-05-31
CRAN8.22.02024-03-042026-05-312026-05-31
CRAN8.21.12023-08-312026-05-312026-05-31
CRAN8.212023-02-272026-05-312026-05-31
CRAN8.202023-01-062026-05-312026-05-31
CRAN8.192022-11-212026-05-312026-05-31
CRAN8.182022-10-022026-05-312026-05-31
CRAN8.17.02022-07-252026-05-312026-05-31
CRAN8.162022-01-102026-05-312026-05-31
CRAN8.152021-06-012026-05-312026-05-31
CRAN8.142021-03-112026-05-312026-05-31
CRAN8.132020-09-122026-05-312026-05-31
CRAN8.122020-03-312026-05-312026-05-31
CRAN8.112020-02-092026-05-312026-05-31
CRAN8.102019-12-052026-05-312026-05-31
CRAN8.92019-08-222026-05-312026-05-31
CRAN8.82019-08-022026-05-312026-05-31
CRAN8.72019-04-292026-05-312026-05-31
CRAN8.62019-04-162026-05-312026-05-31
CRAN8.52019-01-182026-05-312026-05-31
CRAN8.42018-06-212026-05-312026-05-31
CRAN8.32018-04-112026-05-312026-05-31
CRAN8.22017-09-252026-05-312026-05-31
CRAN8.12017-06-182026-05-312026-05-31
CRAN8.02017-02-232026-05-312026-05-31
CRAN7.32016-10-132026-05-312026-05-31
CRAN7.22016-09-092026-05-312026-05-31
CRAN7.12016-04-142026-05-312026-05-31
CRAN7.02016-04-042026-05-312026-05-31
CRAN6.22015-10-202026-05-312026-05-31
CRAN6.12015-05-122026-05-312026-05-31
CRAN6.02015-05-092026-05-312026-05-31
CRAN5.92015-02-262026-05-312026-05-31
CRAN5.82015-01-062026-05-312026-05-31
CRAN5.72014-12-172026-05-312026-05-31
CRAN5.62014-09-242026-05-312026-05-31
CRAN5.52014-08-122026-05-312026-05-31
CRAN5.42014-05-082026-05-312026-05-31
CRAN5.32014-03-242026-05-312026-05-31
CRAN5.22014-02-242026-05-312026-05-31
CRAN5.12014-02-082026-05-312026-05-31
CRAN5.02014-01-172026-05-312026-05-31
CRAN4.82013-09-302026-05-312026-05-31
CRAN4.72013-09-272026-05-312026-05-31
CRAN4.062013-06-302026-05-312026-05-31
CRAN4.052013-06-192026-05-312026-05-31
CRAN4.042013-04-222026-05-312026-05-31
CRAN4.032013-03-172026-05-312026-05-31
CRAN4.022013-03-062026-05-312026-05-31
CRAN4.012013-01-222026-05-312026-05-31
CRAN4.002012-11-272026-05-312026-05-31
CRAN3.252012-09-112026-05-312026-05-31
CRAN3.242012-07-232026-05-312026-05-31
CRAN3.232012-07-182026-05-312026-05-31
CRAN3.222012-06-072026-05-312026-05-31
CRAN3.212012-04-302026-05-312026-05-31
CRAN3.202012-04-022026-05-312026-05-31
CRAN3.192012-02-222026-05-312026-05-31
CRAN3.182012-02-172026-05-312026-05-31
CRAN3.172012-02-022026-05-312026-05-31
CRAN3.162011-12-242026-05-312026-05-31
CRAN3.152011-12-222026-05-312026-05-31
CRAN3.142011-12-092026-05-312026-05-31
CRAN3.132011-11-202026-05-312026-05-31
CRAN3.122011-11-162026-05-312026-05-31
CRAN3.112011-11-022026-05-312026-05-31
CRAN3.102011-10-272026-05-312026-05-31
CRAN3.092011-10-182026-05-312026-05-31
CRAN3.082011-10-152026-05-312026-05-31
CRAN3.072011-10-112026-05-312026-05-31
CRAN3.062011-10-042026-05-312026-05-31
CRAN3.052011-10-032026-05-312026-05-31
CRAN3.042011-09-232026-05-312026-05-31
CRAN3.032011-09-022026-05-312026-05-31
CRAN3.022011-08-252026-05-312026-05-31
CRAN3.002011-08-242026-05-312026-05-31
CRAN2.192011-06-042026-05-312026-05-31
CRAN2.172011-04-062026-05-312026-05-31
CRAN2.162011-03-072026-05-312026-05-31
CRAN2.152011-03-052026-05-312026-05-31
CRAN2.142011-03-042026-05-312026-05-31
CRAN2.132011-02-162026-05-312026-05-31
CRAN2.122011-01-192026-05-312026-05-31
CRAN2.112010-11-042026-05-312026-05-31
CRAN2.092010-10-152026-05-312026-05-31
CRAN2.082010-09-222026-05-312026-05-31
CRAN2.072010-09-092026-05-312026-05-31
CRAN2.062010-07-292026-05-312026-05-31
CRAN2.052010-05-112026-05-312026-05-31
CRAN2.042010-04-162026-05-312026-05-31
CRAN2.032009-12-242026-05-312026-05-31
CRAN2.022009-12-232026-05-312026-05-31
CRAN2.012009-09-182026-05-312026-05-31
CRAN2.002009-09-072026-05-312026-05-31
CRAN9.0.22026-06-012026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Analysis of Ecological and Environmental Data · 2026-06-04Econometrics · 2026-06-04Empirical Finance · 2026-06-04Missing Data · 2026-06-04Time Series Analysis · 2026-06-04