Data frame with time series. This can also be a matrix or array with each column being a different time series.
method
Which method to use for forecasting: "crost", "crost.ma", "tsb", "sexsm", "imapa", "auto". "auto" uses PKa classification to select automatically between Croston, SBA and SES.
...
Additional inputs to pass to forecasting functions. See individual function documentation for options.
Value
frc.out
Data frame containing forecasts for all time series.
out
List with detailed output per series. To access individual outputs of the list use: sapply(out, get, x="element"), where "element" could be for example "frc.in".
Author(s)
Nikolaos Kourentzes
References
By default methods are optimised using the cost functions introduced by:
N. Kourentzes, 2014, On intermittent demand model optimisation and selection, International Journal of Production Economics, 156: 180-190. http://dx.doi.org/10.1016/j.ijpe.2014.06.007.