crost.decomp: Croston's decomposition
In trnnick/tsintermittent: Intermittent Time Series Forecasting
crost.decomp R Documentation
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)
trnnick/tsintermittent documentation built on July 19, 2022, 3:36 p.m.
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| crost.decomp | R Documentation |
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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