log_evidence_d: Compute the derivative of the approximate log evidence with...
In JimSkinner/spca: Structured PCA
Description
Usage
Arguments
Value
Description
Compute the derivative of the approximate log evidence with respect to the
value of beta provided.
Usage
1
log_evidence_d(X, K, WHat, muHat, sigSqHat, beta, KD, H)
Arguments
X
Data
K
Prior covariance matrix
WHat
Loadings matrix
Value
Partial derivatives of approximate log evidence
JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.
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Description Usage Arguments Value
Description
Compute the derivative of the approximate log evidence with respect to the value of beta provided.
Usage
1 | log_evidence_d(X, K, WHat, muHat, sigSqHat, beta, KD, H)
|
Arguments
X |
Data |
K |
Prior covariance matrix |
WHat |
Loadings matrix |
Value
Partial derivatives of approximate log evidence
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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