loo: Leave-one-out criterion
In CCA: Canonical Correlation Analysis
loo R Documentation
Leave-one-out criterion
Description
The loo() function can be viewed as an internal
function. It is called by estim.regul() to obtain optimal values
for the two parameters of regularization.
Usage
loo(X, Y, lambda1, lambda2)
Arguments
X
numeric matrix (n * p), containing the X coordinates.
Y
numeric matrix (n * q), containing the Y coordinates.
lambda1
parameter of regularization for X variables
lambda2
parameter of regularization for Y variables
Author(s)
Sébastien Déjean, Ignacio González
See Also
estim.regul
CCA documentation built on Sept. 8, 2023, 5:19 p.m.
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| loo | R Documentation |
Leave-one-out criterion
Description
The loo() function can be viewed as an internal
function. It is called by estim.regul() to obtain optimal values
for the two parameters of regularization.
Usage
loo(X, Y, lambda1, lambda2)
Arguments
X |
numeric matrix (n * p), containing the X coordinates. |
Y |
numeric matrix (n * q), containing the Y coordinates. |
lambda1 |
parameter of regularization for X variables |
lambda2 |
parameter of regularization for Y variables |
Author(s)
Sébastien Déjean, Ignacio González
See Also
estim.regul
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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