log_sparse_prior: The *un-normalised* prior over W, sigma^2 in SpStPCA. A...
In JimSkinner/spca: Structured PCA
Description
Usage
Arguments
Value
Description
The *un-normalised* prior over W, sigma^2 in SpStPCA. A product of
the proper, un-normalised p(W | \beta), and the improper p(sigma^2).
Usage
1
log_sparse_prior(K, W, sigSq, b)
Arguments
K
Prior covariance matrix
W
Loadings matrix
sigSq
variance of noise added to 'signal' Wv_i
b
Variance on Laplace part of prior
Value
un-normalised log prior over W
JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.
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Description Usage Arguments Value
Description
The *un-normalised* prior over W, sigma^2 in SpStPCA. A product of the proper, un-normalised p(W | \beta), and the improper p(sigma^2).
Usage
1 | log_sparse_prior(K, W, sigSq, b)
|
Arguments
K |
Prior covariance matrix |
W |
Loadings matrix |
sigSq |
variance of noise added to 'signal' Wv_i |
b |
Variance on Laplace part of prior |
Value
un-normalised log prior over W
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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