gpOut: Evaluate the output of an Gaussian process model.

In gptk: Gaussian Processes Tool-Kit

Description

evaluates the output of a given Gaussian process model.

Usage

gpOut(model, x)

Arguments

model	the model for which the output is being evaluated.
x	the input position for which the output is required.

Value

y	the output of the GP model. The function checks if there is a noise model associated with the GP, if there is, it is used, otherwise the mean of gpPosteriorMeanVar is returned.

See Also

gpCreate, gpPosteriorMeanVar.

Examples

## missing

Example output

Loading required package: Matrix
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.1-1 (2017-07-02) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps

gptk documentation built on May 2, 2019, 3:27 p.m.