synthesize_data_kern: Synthesize fake data from StPCA model
In JimSkinner/spca: Structured PCA
Description
Synthesize fake data from StPCA model
Usage
1
synthesize_data_kern(n, k, dim, kern, noisesd = 0)
Arguments
n
Number of samples to create
k
Latent dimensionality
dim
dimensions of grid to construct
kern
covarinace function used to build the prior covariance matrix K
noisesd
standard deviation of noise added to data
JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.
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Description
Synthesize fake data from StPCA model
Usage
1 | synthesize_data_kern(n, k, dim, kern, noisesd = 0)
|
Arguments
n |
Number of samples to create |
k |
Latent dimensionality |
dim |
dimensions of grid to construct |
kern |
covarinace function used to build the prior covariance matrix K |
noisesd |
standard deviation of noise added to data |
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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