GCVridge: The generalized cross validation (GCV) score for ridge...
In dajmcdon/cplr: Compressed and penalized linear regression
Description
Usage
Arguments
Value
Description
This function is designed to be optimized over using already computed
information. It is not intended to stand alone.
Usage
1
GCVridge(lam, XX, XY, X, Y)
Arguments
lam
The tuning parameter
XX
The inner product of the design with itself (a pxp matrix)
XY
The inner product of the design with the response (a px1 vector)
X
The design matrix
Y
The response vector
Value
The generalized cross validation score.
dajmcdon/cplr documentation built on May 14, 2019, 3:29 p.m.
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Description Usage Arguments Value
Description
This function is designed to be optimized over using already computed information. It is not intended to stand alone.
Usage
1 | GCVridge(lam, XX, XY, X, Y)
|
Arguments
lam |
The tuning parameter |
XX |
The inner product of the design with itself (a pxp matrix) |
XY |
The inner product of the design with the response (a px1 vector) |
X |
The design matrix |
Y |
The response vector |
Value
The generalized cross validation score.
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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