Package: tsintermittent 1.10

tsintermittent: Intermittent Time Series Forecasting

Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos & Kourenztes (2015) <doi:10.1057/jors.2014.62>).

Authors:Nikolaos Kourentzes [cre, aut], Fotios Petropoulos [ctb]

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Peer review:

Bug tracker:https://github.com/trnnick/tsintermittent/issues

On CRAN:

9 exports 14 stars 1.73 score 58 dependencies 47 scripts 644 downloads

Last updated 2 years agofrom:ac26f9c516. Checks:OK: 7. Indexed: yes.

Exports:crostcrost.decompcrost.madata.frcidclassimapasexsmsimIDtsb

Dependencies:askpassclicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegreyboxgtablehttrisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellnlmenloptrnnetopensslpillarpkgconfigpracmaquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalessmoothstatmodsystexregtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtablextszoo