Model selection by a forward / backward-stepping algorithm. The algorithm reduces the degrees of freedom of an existing object containing a model fit. It searches for the subset of degrees of freedom that results in an optimal goodness-of-fit. This is the subset for which a user-specified function reaches its minimum. The search is carried out by alternately attempting to remove and insert degrees of freedom.
fwbw(object, fun, ...)Object containing a fit to a specific model
User-specified function which measures the goodness-of-fit.
Further arguments for specific methods
A list with the following members.
object An object which contains the model for which fun is minimized.
fun the minimum value of the user-specified function fun.