gaussianNoiseOut: Compute the output of the GAUSSIAN noise given the input mean...
In alkalait/gptk: Gaussian Processes Tool-Kit
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
alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.
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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
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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