w: 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.
Returns
model: Type of model fitted.
frc.in: In-sample demand.
frc.out: Out-of-sample demand.
alpha: Smoothing parameter.
initial: Initialisation value.
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. tools:::Rd_expr_doi("10.1016/j.ijpe.2014.06.007") .