Finds path of steepest ascent

Usage

path(fit, r, x.center, x.scale, maximize=T, scale=0.0001, start, trace.z=F)

Arguments

fit Object from a fitting procedure. A predict function for the fit must be available.
r Vector of increasing values for the radii of the hyperspheres.
x.center Center of the hypersheres, in the original coordinates of the data.
x.scale Scale of the hyperspheres, in the original coordinates of the data.
maximize Default is to search for the maximum.
scale Transformation scale of data.
start Starting value for the search, the default is the middle of the region.
trace.z

Description

The object from a fitting procedure must have a predict function. Path calls the function nlminb which finds a local minimum of a smooth nonlinear function subject to bounded-constrained paramenters.

Value

Array with the components of the values of the data, the radius of the hypersphere of the search and the predicted value of the surface.

See Also

optim, nlminb, predict.tps, predict.krig, predict.nnreg

Examples

tps(BD[,1:4],BD$lnya,scale.type="range") -> fit # fitting a DNA strand
# displacement amplification surface to various buffer compositions
path(fit,c(.01,.05)) -> fit.path # path from center of data to
# hyperspheres with radii .01 and .05


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