gpMeanFunctionGradient: Compute the log likelihood gradient wrt the scales.

Description Usage Arguments Value See Also Examples

View source: R/gpMeanFunctionGradient.R

Description

computes the gradient of the log likelihood with respect to the scales. In the future the gradients with respect to the biases may also be included.

Usage

1

Arguments

model

the model for which the gradients are to be computed.

Value

g

the gradients of the likelihood with respect to the mean function's parameters.

See Also

gpCreate, gpScaleBiasGradient, gpLogLikeGradients, gpLogLikelihood.

Examples

1
## 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 30, 2017, 6:41 a.m.