Usage
tsb(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 parameters. If w == NULL then parameters are optimised. Otherwise first parameter is for demand and second for demand probability.
init
Initial values for demand and intervals. This can be: 1. c(z,x) - Vector of two scalars, where first is initial demand and second is initial interval; 2. "naive" - Initial demand is first non-zero demand and initial demand probability is again the first one; 3. "mean" - Same as "naive", but initial demand probability is the mean of all in sample probabilities.
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.