buildFONKgpointls

A data frame obtained as return value from <code><a href="/link/buildPointls?package=blackbox&version=1.0" rd-options="" data-mini-rdoc="blackbox::buildPointls">buildPointls</a></code>

pointls

From a data frame, builds another data frame. The input data frame must contain values of the canonical parameters of the model and the variables required to construct the smoothed response. Which of the (output) parameters are variable is also determined for later use.

Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. blackbox includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross validation.

buildFONKgpointls: Prepare data for smoothing

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