simID

Simulator of Intermittent Demand Series.

 ~simID 

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>).

Nikolaos Kourentzes

tsintermittent

Intermittent Time Series Forecasting

Fotios Petropoulos

simID function

<dl> <dt>n</dt>
<dd>Number of time series to be generated.</dd> <dt>obs</dt>
<dd>Number of observation of each series.</dd> <dt>idi</dt>
<dd>Average intermittent demand interval of each series.</dd> <dt>cv2</dt>
<dd>Squared coefficient of variation of the non-zero demands.</dd> <dt>level</dt>
<dd>Mean level of the non-zero demands. If NULL, then a random level in [10,100] is selected.</dd></dl>

Arguments

Author

Simulator for Intermittent Demand Series — simID

<dl>

 <dt>n</dt>
<dd>Number of time series to be generated.</dd>

 <dt>obs</dt>
<dd>Number of observation of each series.</dd>

 <dt>idi</dt>
<dd>Average intermittent demand interval of each series.</dd>

 <dt>cv2</dt>
<dd>Squared coefficient of variation of the non-zero demands.</dd>

 <dt>level</dt>
<dd>Mean level of the non-zero demands. If NULL, then a random level in [10,100] is selected.</dd>

</dl>

simID: Simulator for Intermittent Demand Series

Description

Usage

Value

Arguments

Author

References

See Also

Examples