log_prior_d: Compute the partial derivatives of the log prior with respect...
In JimSkinner/stpca: Structured PCA
Description
Usage
Arguments
Value
Description
Compute the partial derivatives of the log prior with respect to the
hyperparameters with the value of beta provided.
Usage
1
log_prior_d(W, beta, K, KD)
Arguments
W
Loadings matrix
beta
hyperparameter values
K
Prior covariance matrix
KD
Prior covariance matrix derivatives
Value
Partial derivatives of log prior
JimSkinner/stpca documentation built on May 28, 2019, 12:44 p.m.
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Description Usage Arguments Value
Description
Compute the partial derivatives of the log prior with respect to the hyperparameters with the value of beta provided.
Usage
1 | log_prior_d(W, beta, K, KD)
|
Arguments
W |
Loadings matrix |
beta |
hyperparameter values |
K |
Prior covariance matrix |
KD |
Prior covariance matrix derivatives |
Value
Partial derivatives of log prior
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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