Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Version: 8.24.0 Depends: R (≥ 3.5.0) Imports: colorspace, fracdiff, generics (≥ 0.1.2), ggplot2 (≥ 2.2.1), graphics, lmtest, magrittr, nnet, parallel, Rcpp (≥ 0.11.0), stats, timeDate, tseries, urca, withr, zoo LinkingTo: Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.2.35) Suggests: forecTheta, knitr, methods, rmarkdown, rticles, scales, seasonal, testthat (≥ 3.0.0), uroot Published: 2025-04-08 DOI: 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], 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] Maintainer: Rob Hyndman <Rob.Hyndman at monash.edu> BugReports: https://github.com/robjhyndman/forecast/issues License: GPL-3 URL: https://pkg.robjhyndman.com/forecast/, https://github.com/robjhyndman/forecast NeedsCompilation: yes Citation: forecast citation info Materials: README NEWS In views: Econometrics, Environmetrics, Finance, MissingData, TimeSeries CRAN checks: forecast results Documentation: Downloads: Reverse dependencies: Reverse depends: ARIMAANN, BayesARIMAX, demography, dendrometeR, DIMORA, Dowd, ECTTDNN, EMDANNhybrid, expsmooth, fma, forecastHybrid, ForeComp, forecTheta, ftsa, garma, hts, MAPA, Mcomp, Rlgt, Rssa, StMoMo, thief, TSSVM, ZRA Reverse imports: actfts, ACV, AEDForecasting, AFR, AriGaMyANNSVR, armaOptions, ATAforecasting, AutoAds, autostsm, autoTS, bayesforecast, BETS, beyondWhittle, bfast, bmgarch, boiwsa, bridgr, caretForecast, CausalMBSTS, CEEMDANML, chopper, coconots, ConsReg, cricketr, CvmortalityMult, decompML, decomposedPSF, dendRoAnalyst, dsa, EcoMetrics, ecorisk, eemdARIMA, EEMDelm, eemdTDNN, epicasting, EQUALrepeat, estadistica, EventDetectR, EWSmethods, EXPAR, EXPARMA, fDMA, forecasteR, forecastLSW, ForecastTB, fpp2, fracARMA, globaltrends, gratis, grattan, harbinger, HDTSA, hpiR, hybridts, iClick, imputeTestbench, imputeTS, InterNL, its.analysis, KarsTS, knnp, kssa, lfl, lineartestr, matman, midasr, mlmts, modeltime, MortalityGaps, MSGARCHelm, msltrend, 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, SLBDD, spduration, stlARIMA, stlELM, stlTDNN, stR, sweep, TCIU, Tcomp, TextForecast, timetk, TSANN, tsaux, tsBSS, TSclust, tsDyn, TSF, tsfeatures, tsoutliers, TSPred, tspredit, tsSelect, tssim, TSstudio, tsutils, tsviz, tswge, Tushare, ubair, uotm, utsf, VMDML, vmdTDNN, WaveletANN, WaveletArima, WaveletETS, WaveletGARCH, WaveletML, WaveletRF, WaveletSVR, WRTDStidal Reverse suggests: AER, bayesRecon, corset, dlookr, dplR, epimdr, equatiomatic, fable, fableCount, fChange, flap, fracdiff, ggfortify, healthyR.ts, highcharter, htsDegenerateR, ICompELM, iForecast, ivx, lazybar, lifecontingencies, MARSS, mFilter, mlr, nullabor, origami, pander, performance, pmml, PSF, rainbow, riem, sarima, setartree, shapr, tactile, trajectories, tsbox, vctsfr Reverse enhances: texreg Linking:Please use the canonical form https://CRAN.R-project.org/package=forecast to link to this page.
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