An internal prediction function to predict a distance function. This version allows for matrix inputs and uses matrix operations, and is thus faster than earlier looping versions.
predDfuncs(object, params, distances, isSmooth)A matrix of distance function values, of size length(distances) X nrow(params). Each row of params is associated with a column, i.e., a different distance function. Distances are associated with rows, i.e., use matplot(d,return) to plot values on separate distance functions specified by rows of params.
An Rdistance model frame or fitted distance function,
normally produced by a call to dfuncEstim.
A matrix of distance function parameters. Rows are observations, columns contain the set of parameters (canonical and expansion) for each observation.
A vector or 1-column matrix of
distances at which to evaluate
distance functions, when distance functions
are requested. distances must have measurement units.
Any distances outside the observation
strip (object$w.lo to object$w.hi) are discarded. If
distances is NULL, a sequence
of getOption("Rdistance_intEvalPts") (default 101) evenly
spaced distances between
object$w.lo and object$w.hi (inclusive) is used.
Logical. TRUE if the distance function is smoothed (and hence has no parameters).