predict.RBFinter: Apply cubic or Gaussian or MQ RBF interpolation

In SACOBRA: Self-Adjusting COBRA

Description

Apply cubic or Gaussian or MQ RBF interpolation to a set of new data points for d>1.

Usage

## S3 method for class 'RBFinter'
predict(rbf.model, newdata, ...)

Arguments

rbf.model	trained RBF model (or set of models), see trainCubicRBF or trainGaussRBF
newdata	matrix or data frame with d columns. Each row contains a data point x_i,\ i=1,…,n
...	(not used)

Value

vector of model responses s(x_i), one element for each data point x_i
- or -
if rbf.model is a set of m models, a (n x m)-matrix containing in each row the response s_j(x_i) of all models j = 1,…,m to x_i

Author(s)

Wolfgang Konen ([e-mail])

See Also

trainCubicRBF, trainGaussRBF, interpRBF

SACOBRA documentation built on March 26, 2020, 7:15 p.m.