forecast: Forecasting Functions for Time Series and Linear ...

Package forecast March 31, Functions for Time Series and Linear ModelsDescriptionMethods and tools for displaying and analysingunivariate time Series forecasts including exponential smoothingvia state space models and automatic ARIMA (>= ),Importscolorspace, fracdiff, ggplot2 (>= ), graphics, lmtest,magrittr, nnet, parallel, Rcpp (>= ), stats, timeDate,tseries, urca, zooSuggestsuroot, knitr, rmarkdown, rticles, testthat, methodsLinkingToRcpp (>= ), RcppArmadillo (>= ) , Hyndman [aut, cre, cph] (< >),George Athanasopoulos [aut],Christoph Bergmeir [aut] (< >),Gabriel Caceres [aut],Leanne Chhay [aut],Mitchell O'Hara-Wild [aut] (< >),Fotios Petropoulos [aut] (< >),Slava Razbash [aut],Earo Wang [aut],12 Rtopics documented:Farah Yasmeen [aut] (< >),R Core Team [ctb, cph],Ross Ihaka [ctb, cph],Daniel Reid [ctb],David Shaub [ctb],Yuan Tang [ctb] (< >),Zhenyu Zhou [ctb]MaintainerRob 14:10:07 UTCR topics documented: forecast -package.

seasonal time series, training set seasonal naive forecasts for seasonal time series and training set mean forecasts for non-time series data. If f is a numerical vector rather than a forecast object, the MASE will not be returned as the training data will not be available.

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  Training, Forecast

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