Usage
sexsm(data,h=10,w=NULL,init=c("mean","naive"), cost=c("mar","msr","mae","mse"),init.opt=c(TRUE,FALSE), outplot=c(FALSE,TRUE),opt.on=c(FALSE,TRUE), na.rm=c(FALSE,TRUE))
Arguments
data
Intermittent demand time series.
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.