gaussianNoiseOut: Compute the output of the GAUSSIAN noise given the input mean...

In gptk: Gaussian Processes Tool-Kit

Description

computes the ouptut for the Gaussian noise given input mean and variances.

Usage

gaussianNoiseOut(noise, mu, varSigma)

Arguments

noise	the noise structure for which the output is computed.
mu	the input mean values.
varSigma	the input variance values.

Value

y	the output from the noise model.

See Also

gaussianNoiseParamInit, noiseOut, noiseCreate.

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.