Apply Croston's decomposition on a time series.

1 | ```
crost.decomp(data,init=c("naive","mean"))
``` |

`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. |

`demand` |
Non-zero demand vector. |

`interval` |
Intervals vector. |

Nikolaos Kourentzes

`crost`

, `crost.ma`

.

1 |

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