crost.decomp: Croston's decomposition

In tsintermittent: Intermittent Time Series Forecasting

Croston's decomposition

Description

Apply Croston's decomposition on a time series.

Usage

crost.decomp(data,init=c("naive","mean"))

Arguments

data	Intermittent demand time series.
init	Initial values for intervals. This can be: 1. x - Numerical value; 2. "naive" - Initial interval is the first interval from start of time series; 3. "mean" - Initial interval is the mean of all in sample intervals.

Value

demand	Non-zero demand vector.
interval	Intervals vector.

Author(s)

Nikolaos Kourentzes

See Also

crost, crost.ma.

Examples

crost.decomp(ts.data1)

tsintermittent documentation built on July 18, 2022, 9:06 a.m.