cov.noisy.MR: Noisy MR covariance function
In JimSkinner/stpca: Structured PCA
View source: R/covariance-functions.R
Description
Noisy MR covariance function
Usage
1
cov.noisy.MR(X, beta, ...)
Arguments
X
Matrix of data
beta
Hyperparameters; beta[1] is the log signal variance,
beta[2:(ncol(X)+1)] are the ncol(X) length scales. beta[ncol(X)+2]
is the noise variance
JimSkinner/stpca documentation built on May 28, 2019, 12:44 p.m.
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View source: R/covariance-functions.R
Description
Noisy MR covariance function
Usage
1 | cov.noisy.MR(X, beta, ...)
|
Arguments
X |
Matrix of data |
beta |
Hyperparameters; beta[1] is the log signal variance, beta[2:(ncol(X)+1)] are the ncol(X) length scales. beta[ncol(X)+2] is the noise variance |
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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