cov.noisy.SE.beta0: Computationally cheap estimate for beta0 for cov.noisy.SE.
In JimSkinner/stpca: Structured PCA
View source: R/covariance-functions.R
Description
Computationally cheap estimate for beta0 for cov.noisy.SE.
Usage
1
cov.noisy.SE.beta0(X, locations, k)
Arguments
X
The dataset being analysed with stpca
locations
Matrix containing the location of each feature in rows
k
Latent dimensionality used in stpca
JimSkinner/stpca documentation built on May 28, 2019, 12:44 p.m.
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View source: R/covariance-functions.R
Description
Computationally cheap estimate for beta0 for cov.noisy.SE.
Usage
1 | cov.noisy.SE.beta0(X, locations, k)
|
Arguments
X |
The dataset being analysed with stpca |
locations |
Matrix containing the location of each feature in rows |
k |
Latent dimensionality used in stpca |
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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