log_prior_W: The proper prior over W. p(W) = \prod^k_i=1 N(w_i | 0, K)
In JimSkinner/spca: Structured PCA
Description
Usage
Arguments
Value
Description
The proper prior over W.
p(W) = \prod^k_i=1 N(w_i | 0, K)
Usage
1
log_prior_W(K, W)
Arguments
K
Prior covariance matrix
W
Loadings matrix
Value
normalised log prior (numeric)
JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.
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Description Usage Arguments Value
Description
The proper prior over W. p(W) = \prod^k_i=1 N(w_i | 0, K)
Usage
1 | log_prior_W(K, W)
|
Arguments
K |
Prior covariance matrix |
W |
Loadings matrix |
Value
normalised log prior (numeric)
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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