log_prior_d: Compute the partial derivatives of the log prior with respect...
In JimSkinner/spca: 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/spca documentation built on May 7, 2019, 10:52 a.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.