Smoothing parameter. If w == NULL then parameter is optimised.
init
Initial values for demand and intervals. This can be: 1. x - Numeric value for the initial level; 2. "naive" - Initial value is a naive forecast; 3. "mean" - Initial value is equal to the average of data.
cost
Cost function used for optimisation: 1. "mar" - Mean Absolute Rate; 2. "msr" - Mean Squared Rate; 3. "mae" - Mean Absolute Error; 4. "mse" - Mean Squared Error.
init.opt
If init.opt==TRUE then initial values are optimised.
outplot
If TRUE a plot of the forecast is provided.
opt.on
This is meant to use only by the optimisation function. When opt.on is TRUE then no checks on inputs are performed.
na.rm
A logical value indicating whether NA values should be remove using the method.
Value
model
Type of model fitted.
frc.in
In-sample demand.
frc.out
Out-of-sample demand.
alpha
Smoothing parameter.
initial
Initialisation value.
Author(s)
Nikolaos Kourentzes
References
Optimisation of the method described in:
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.