gradEuv: Compute the cost function and its gradient
In CCAGFA: Bayesian Canonical Correlation Analysis and Group Factor Analysis
Description
Usage
Arguments
Value
Author(s)
Description
Internal functions for computing the cost function and the gradient of
the low-rank ARD prior.
Usage
1
2
Arguments
x
The current parameter values.
par
List of parameters required for the optimization
Value
The new parameter values
Author(s)
Seppo Virtanen, Eemeli Leppaaho and Arto Klami
CCAGFA documentation built on May 2, 2019, 12:36 p.m.
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Description Usage Arguments Value Author(s)
Description
Internal functions for computing the cost function and the gradient of the low-rank ARD prior.
Usage
1 2 |
Arguments
x |
The current parameter values. |
par |
List of parameters required for the optimization |
Value
The new parameter values
Author(s)
Seppo Virtanen, Eemeli Leppaaho and Arto Klami
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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