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

Description Usage Arguments Value See Also Examples

View source: R/gaussianNoiseOut.R

Description

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

Usage

1
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

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.

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